Pub Date : 2022-12-05DOI: 10.1108/ijbpa-03-2022-0037
Md. Ikramul Hoque, M. Hasan
PurposeQuality is a sensitive and high-priority issue in the global construction including in Bangladesh. This research is intended to provide necessary information to stakeholders and authorities for better management of the construction quality in Bangladesh. Therefore, this study seeks to find and prioritize the factors affecting the construction quality in Bangladesh.Design/methodology/approachIn total 65 factors were extracted and categorized from the literature and expert panel discussion. Subsequently, these factors were designed in a questionnaire under 13 major groups for a survey where 176 construction professionals participated and returned their completed survey form. Collected data were tested by the Cronbach Alpha to check the reliability before proceeding to the Relative Importance Index (RII) analysis for determining the relative ranks of identified factors.FindingsStatistical analysis of survey data represents that the most significant factors are: lack of management commitment, lack of technical skill and experience of the consultant, delays in progress investigation, political interference and contractor's desire for unrealistic profit. The most crucial major groups of factors influencing the construction quality are management, material, consultant, cost and time and contract-related major groups.Originality/valueIt will contribute to the body of knowledge, as it points out the impact of factors affecting quality in Bangladeshi construction. Authorities and stakeholders can be helped by the overview of the high and low ranks factors, understanding the diverse characteristics of factors and making more aware the industry about the quality issues which need to be a top concern to solve. Other developing countries that share the same socio-economic context as Bangladesh can be benefit from the results of this study to control quality issues in construction.
{"title":"Factors affecting the construction quality in Bangladesh","authors":"Md. Ikramul Hoque, M. Hasan","doi":"10.1108/ijbpa-03-2022-0037","DOIUrl":"https://doi.org/10.1108/ijbpa-03-2022-0037","url":null,"abstract":"PurposeQuality is a sensitive and high-priority issue in the global construction including in Bangladesh. This research is intended to provide necessary information to stakeholders and authorities for better management of the construction quality in Bangladesh. Therefore, this study seeks to find and prioritize the factors affecting the construction quality in Bangladesh.Design/methodology/approachIn total 65 factors were extracted and categorized from the literature and expert panel discussion. Subsequently, these factors were designed in a questionnaire under 13 major groups for a survey where 176 construction professionals participated and returned their completed survey form. Collected data were tested by the Cronbach Alpha to check the reliability before proceeding to the Relative Importance Index (RII) analysis for determining the relative ranks of identified factors.FindingsStatistical analysis of survey data represents that the most significant factors are: lack of management commitment, lack of technical skill and experience of the consultant, delays in progress investigation, political interference and contractor's desire for unrealistic profit. The most crucial major groups of factors influencing the construction quality are management, material, consultant, cost and time and contract-related major groups.Originality/valueIt will contribute to the body of knowledge, as it points out the impact of factors affecting quality in Bangladeshi construction. Authorities and stakeholders can be helped by the overview of the high and low ranks factors, understanding the diverse characteristics of factors and making more aware the industry about the quality issues which need to be a top concern to solve. Other developing countries that share the same socio-economic context as Bangladesh can be benefit from the results of this study to control quality issues in construction.","PeriodicalId":44905,"journal":{"name":"International Journal of Building Pathology and Adaptation","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2022-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44637852","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-11-17DOI: 10.1108/ijbpa-06-2022-0090
Tamanna Islam Meem, M. M. Hossain, J. Akter
PurposeIn comparison to other industries, the construction industry is one of the most dangerous industries. Behavior-based safety (BBS) is a common and useful technique for risk indicator processing. Almost all studies are based on the BBS checklist, but very few of them focus on the increasing dangers faced by construction workers and the important factors that lead to accidents. This research represents a risk spatiotemporal analysis and visual tracking approach based on BBS and Building Information Modeling (BIM).Design/methodology/approachAfter the literature review, a BBS checklist was developed. Then a survey was conducted based on the BBS checklist and the temporal evolution of risks has been completed. After that, managing the risk with the automatic rule checking (ARC) system using BIM was conducted simultaneously to develop a framework by conducting a case study.FindingsBased on the grey clustering analysis, this work provides a temporal evolution analysis approach for dynamic analyzing BBS risk. According to the grey relational analysis (GRA) data, the main key factor of risk was the missing guardrail/handrail system. After that, a case study was performed and the system automatically warn in the preconstruction phase that the barrier is missing as the system benefits.Originality/valueA systematic framework has been provided for risk analysis through which high health and safety performance outcomes can be achieved on construction projects. This study will assist design engineers in addressing the potential danger to employees during the preconstruction stage and monitoring dynamic changes in risk on any construction site.
{"title":"BIM-based analysis of construction safety tracking using behavior-based safety in Bangladeshi construction industry","authors":"Tamanna Islam Meem, M. M. Hossain, J. Akter","doi":"10.1108/ijbpa-06-2022-0090","DOIUrl":"https://doi.org/10.1108/ijbpa-06-2022-0090","url":null,"abstract":"PurposeIn comparison to other industries, the construction industry is one of the most dangerous industries. Behavior-based safety (BBS) is a common and useful technique for risk indicator processing. Almost all studies are based on the BBS checklist, but very few of them focus on the increasing dangers faced by construction workers and the important factors that lead to accidents. This research represents a risk spatiotemporal analysis and visual tracking approach based on BBS and Building Information Modeling (BIM).Design/methodology/approachAfter the literature review, a BBS checklist was developed. Then a survey was conducted based on the BBS checklist and the temporal evolution of risks has been completed. After that, managing the risk with the automatic rule checking (ARC) system using BIM was conducted simultaneously to develop a framework by conducting a case study.FindingsBased on the grey clustering analysis, this work provides a temporal evolution analysis approach for dynamic analyzing BBS risk. According to the grey relational analysis (GRA) data, the main key factor of risk was the missing guardrail/handrail system. After that, a case study was performed and the system automatically warn in the preconstruction phase that the barrier is missing as the system benefits.Originality/valueA systematic framework has been provided for risk analysis through which high health and safety performance outcomes can be achieved on construction projects. This study will assist design engineers in addressing the potential danger to employees during the preconstruction stage and monitoring dynamic changes in risk on any construction site.","PeriodicalId":44905,"journal":{"name":"International Journal of Building Pathology and Adaptation","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2022-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49545745","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-11-01DOI: 10.1108/ijbpa-06-2022-0092
Taiwo Adedeji, D. Proverbs, Hong Xiao, V. Oladokun
PurposeDespite the present focus on improving the resilience of homes to flooding in UK flood risk management policy and strategy, a general measurement framework for determining levels of flood resilience in UK homes does not exist. In light of this, the aim of this study was to develop a means to evaluate the levels of resilience in flood-prone homes from the perspective of homeowners'.Design/methodology/approachA quantitative research methodology was employed, with empirical data obtained through a postal survey of homeowners who had experienced flooding. The responses received were then analysed using a combination of statistical techniques including agreement/reliability tests and multiple regression to develop a model of flood resilience.FindingsA predictive model was developed that allows the resilience of a property to be quantified and measured as perceived by homeowners. The findings indicate that the main factors found to influence the level of flood resilience were: property type (PT), presence of cellar/basement (C/B), property wall type (PWT), property ground floor type (PGFT), kitchen unit type (KU), flood experience (FE), flood source (FS) and flood risk level (FRL).Practical implicationsThe resulting model provides unique insights into resilience levels to the benefit of a range of stakeholders including policy makers (such as Defra/Environment Agency), Local Authority flood teams, property professionals, housing associations and homeowners. As a result, homeowners will be in a better position to determine which interventions should be prioritised to ensure better flood protection.Originality/valueThis is the first study of its kind to have rigorously quantified the level of flood resilience for individual homes. This study has quantified the effectiveness of individual resilience measures to derive the first reliable means to measure the overall levels of resilience at the individual property level. This is regarded as a significant contribution to the study of flood risk management through the quantification of resilience within individual UK homes, enabling the prioritisation of interventions and the overall monitoring of resilience.
{"title":"Measuring property flood resilience (PFR) in UK homes","authors":"Taiwo Adedeji, D. Proverbs, Hong Xiao, V. Oladokun","doi":"10.1108/ijbpa-06-2022-0092","DOIUrl":"https://doi.org/10.1108/ijbpa-06-2022-0092","url":null,"abstract":"PurposeDespite the present focus on improving the resilience of homes to flooding in UK flood risk management policy and strategy, a general measurement framework for determining levels of flood resilience in UK homes does not exist. In light of this, the aim of this study was to develop a means to evaluate the levels of resilience in flood-prone homes from the perspective of homeowners'.Design/methodology/approachA quantitative research methodology was employed, with empirical data obtained through a postal survey of homeowners who had experienced flooding. The responses received were then analysed using a combination of statistical techniques including agreement/reliability tests and multiple regression to develop a model of flood resilience.FindingsA predictive model was developed that allows the resilience of a property to be quantified and measured as perceived by homeowners. The findings indicate that the main factors found to influence the level of flood resilience were: property type (PT), presence of cellar/basement (C/B), property wall type (PWT), property ground floor type (PGFT), kitchen unit type (KU), flood experience (FE), flood source (FS) and flood risk level (FRL).Practical implicationsThe resulting model provides unique insights into resilience levels to the benefit of a range of stakeholders including policy makers (such as Defra/Environment Agency), Local Authority flood teams, property professionals, housing associations and homeowners. As a result, homeowners will be in a better position to determine which interventions should be prioritised to ensure better flood protection.Originality/valueThis is the first study of its kind to have rigorously quantified the level of flood resilience for individual homes. This study has quantified the effectiveness of individual resilience measures to derive the first reliable means to measure the overall levels of resilience at the individual property level. This is regarded as a significant contribution to the study of flood risk management through the quantification of resilience within individual UK homes, enabling the prioritisation of interventions and the overall monitoring of resilience.","PeriodicalId":44905,"journal":{"name":"International Journal of Building Pathology and Adaptation","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42037876","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-31DOI: 10.1108/ijbpa-01-2022-0014
Y. Obeidat, Wasim S. Barham, Rawan Abu libdeh
PurposeThe main aim of this study is to examine the behavior of reinforced concrete short columns strengthened using longitudinal near surface mounted (NSM)-carbon fiber reinforced polymer (CFRP) strips.Design/methodology/approachA full 3D-finite element (FE) model was developed using ABAQUS in order to conduct the analysis. The model is first validated based on experimental data available in the literature, and then the effect of concrete compressive strength, number of CFRP strips that are used and the spacing between them were taken in consideration for both concentric and eccentric loading cases. The parametric study specimens were divided into three groups. The first group consisted of unstrengthened columns and served as control specimens. The second group consisted of columns strengthened by longitudinal CFRP strips at two opposite column faces.FindingsThe results of this study are used to develop interaction diagrams for CFRP-strengthened short columns and to develop best-fit equations to estimate the nominal axial load and moment capacities for these strengthened columns. The results showed that the specimens that were strengthened using more longitudinal CFRP strips showed a significant increase in axial load capacity and a significant improvement in the interaction diagram, especially at large load eccentricity values. This result can be justified by the fact that longitudinal strips effectively resist the bending moment that is generated due to eccentric loading. Generally, the process of strengthening using longitudinal strips only has a reasonable effect and it can be typically considered an excellent choice considering the economic aspect when the budget of strengthening is limited.Originality/valueThis research aims at studying the performance of strengthened rectangular reinforced concrete short columns with CFRP strips using FE method, developing interaction diagrams of strengthened columns in order to investigate the effect of different parameters such as compressive strength (20, 30 and 40 MPa), number of CFRP strips (1, 2, 3 and 4) and the spacing between CFRP strips in terms of the ratio of CFRP center point distance to column outside dimension ratio (0.60, 0.70 and 0.80) on the behavior of strengthened RC columns and improving empirical formulas to predict the nominal axial load and moment capacities of strengthened RC columns. These parameters that directly affect short column load carrying capacity are presented in ACI-318 (2014).
{"title":"Development of interaction diagrams of reinforced concrete short columns strengthened by NSM-CFRP strips using finite element method","authors":"Y. Obeidat, Wasim S. Barham, Rawan Abu libdeh","doi":"10.1108/ijbpa-01-2022-0014","DOIUrl":"https://doi.org/10.1108/ijbpa-01-2022-0014","url":null,"abstract":"PurposeThe main aim of this study is to examine the behavior of reinforced concrete short columns strengthened using longitudinal near surface mounted (NSM)-carbon fiber reinforced polymer (CFRP) strips.Design/methodology/approachA full 3D-finite element (FE) model was developed using ABAQUS in order to conduct the analysis. The model is first validated based on experimental data available in the literature, and then the effect of concrete compressive strength, number of CFRP strips that are used and the spacing between them were taken in consideration for both concentric and eccentric loading cases. The parametric study specimens were divided into three groups. The first group consisted of unstrengthened columns and served as control specimens. The second group consisted of columns strengthened by longitudinal CFRP strips at two opposite column faces.FindingsThe results of this study are used to develop interaction diagrams for CFRP-strengthened short columns and to develop best-fit equations to estimate the nominal axial load and moment capacities for these strengthened columns. The results showed that the specimens that were strengthened using more longitudinal CFRP strips showed a significant increase in axial load capacity and a significant improvement in the interaction diagram, especially at large load eccentricity values. This result can be justified by the fact that longitudinal strips effectively resist the bending moment that is generated due to eccentric loading. Generally, the process of strengthening using longitudinal strips only has a reasonable effect and it can be typically considered an excellent choice considering the economic aspect when the budget of strengthening is limited.Originality/valueThis research aims at studying the performance of strengthened rectangular reinforced concrete short columns with CFRP strips using FE method, developing interaction diagrams of strengthened columns in order to investigate the effect of different parameters such as compressive strength (20, 30 and 40 MPa), number of CFRP strips (1, 2, 3 and 4) and the spacing between CFRP strips in terms of the ratio of CFRP center point distance to column outside dimension ratio (0.60, 0.70 and 0.80) on the behavior of strengthened RC columns and improving empirical formulas to predict the nominal axial load and moment capacities of strengthened RC columns. These parameters that directly affect short column load carrying capacity are presented in ACI-318 (2014).","PeriodicalId":44905,"journal":{"name":"International Journal of Building Pathology and Adaptation","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2022-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47037923","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-18DOI: 10.1108/ijbpa-03-2022-0044
S. Stellacci, Leonor Domingos, R. Resende
PurposeThe purpose of this research is to test the effectiveness of integrating Grasshopper 3D and measuring attractiveness by a categorical based evaluation technique (M-MACBETH) for building energy simulation analysis within a virtual environment. Set of energy retrofitting solutions is evaluated against performance-based criteria (energy consumption, weight and carbon footprint), and considering the preservation of the cultural value of the building, its architectural and spatial configuration.Design/methodology/approachThis research addresses the building energy performance analysis before and after the design of retrofitting solutions in extreme climate environments (2030–2100). The proposed model integrates data obtained from an advanced parametric tool (Grasshopper) and a multi-criteria decision analysis (M-MACBETH) to score different energy retrofitting solutions against energy consumption, weight, carbon footprint and impact on architectural configuration. The proposed model is tested for predicting the performance of a traditional timber-framed dwelling in a historic parish in Lisbon. The performance of distinct solutions is compared in digitally simulated climate conditions (design scenarios) considering different criteria weights.FindingsThis study shows the importance of conducting building energy simulation linking physical and digital environments and then, identifying a set of evaluation criteria in the analysed context. Architects, environmental engineers and urban planners should use computational environment in the development design phase to identify design solutions and compare their expected impact on the building configuration and performance-based behaviour.Research limitations/implicationsThe unavailability of local weather data (EnergyPlus Weather File (EPW) file), the high time-resource effort, and the number/type of the energy retrofit measures tested in this research limit the scope of this study. In energy simulation procedures, the baseline generally covers a period of thirty, ten or five years. In this research, due to the fact that weather data is unavailable in the format required in the simulation process (.EPW file), the input data in the baseline is the average climatic data from EnergyPlus (2022). Additionally, this workflow is time-consuming due to the low interoperability of the software. Grasshopper requires a high-skilled analyst to obtain accurate results. To calculate the values for the energy consumption, i.e. the values of energy per day of simulation, all the values given per hour are manually summed. The values of weight are obtained by calculating the amount of material required (whose dimensions are provided by Grasshopper), while the amount of carbon footprint is calculated per kg of material. Then this set of data is introduced into M-MACBETH. Another relevant limitation is related to the techniques proposed for retrofitting this case study, all based on wood-fibre boards.Practical implicationsT
{"title":"Integrated computational approaches for energy retrofit of historical buildings in extreme climate environments","authors":"S. Stellacci, Leonor Domingos, R. Resende","doi":"10.1108/ijbpa-03-2022-0044","DOIUrl":"https://doi.org/10.1108/ijbpa-03-2022-0044","url":null,"abstract":"PurposeThe purpose of this research is to test the effectiveness of integrating Grasshopper 3D and measuring attractiveness by a categorical based evaluation technique (M-MACBETH) for building energy simulation analysis within a virtual environment. Set of energy retrofitting solutions is evaluated against performance-based criteria (energy consumption, weight and carbon footprint), and considering the preservation of the cultural value of the building, its architectural and spatial configuration.Design/methodology/approachThis research addresses the building energy performance analysis before and after the design of retrofitting solutions in extreme climate environments (2030–2100). The proposed model integrates data obtained from an advanced parametric tool (Grasshopper) and a multi-criteria decision analysis (M-MACBETH) to score different energy retrofitting solutions against energy consumption, weight, carbon footprint and impact on architectural configuration. The proposed model is tested for predicting the performance of a traditional timber-framed dwelling in a historic parish in Lisbon. The performance of distinct solutions is compared in digitally simulated climate conditions (design scenarios) considering different criteria weights.FindingsThis study shows the importance of conducting building energy simulation linking physical and digital environments and then, identifying a set of evaluation criteria in the analysed context. Architects, environmental engineers and urban planners should use computational environment in the development design phase to identify design solutions and compare their expected impact on the building configuration and performance-based behaviour.Research limitations/implicationsThe unavailability of local weather data (EnergyPlus Weather File (EPW) file), the high time-resource effort, and the number/type of the energy retrofit measures tested in this research limit the scope of this study. In energy simulation procedures, the baseline generally covers a period of thirty, ten or five years. In this research, due to the fact that weather data is unavailable in the format required in the simulation process (.EPW file), the input data in the baseline is the average climatic data from EnergyPlus (2022). Additionally, this workflow is time-consuming due to the low interoperability of the software. Grasshopper requires a high-skilled analyst to obtain accurate results. To calculate the values for the energy consumption, i.e. the values of energy per day of simulation, all the values given per hour are manually summed. The values of weight are obtained by calculating the amount of material required (whose dimensions are provided by Grasshopper), while the amount of carbon footprint is calculated per kg of material. Then this set of data is introduced into M-MACBETH. Another relevant limitation is related to the techniques proposed for retrofitting this case study, all based on wood-fibre boards.Practical implicationsT","PeriodicalId":44905,"journal":{"name":"International Journal of Building Pathology and Adaptation","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2022-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41282646","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-11DOI: 10.1108/ijbpa-01-2022-0020
A. Yusuf, A. Opawole, N. A. Musa, D. S. Kadiri, E. Ebunoluwa
PurposeThis study examined factors influencing the organisational capabilities of the public sector for building information modelling (BIM) implementation in construction projects with a view to enhancing the performance of public sector projects.Design/methodology/approachThe study adopted a quantitative descriptive analysis that was based on primary data. In total, 198 valid questionnaires obtained from construction professionals within the public sector provided primary quantitative data for the assessment. The respondents provided the responses on the factors which were identified through an in-depth synthesis of literature relating to organisational capabilities of the public sector. Data collected were analysed using descriptive and inferential statistics.FindingsThe findings established that the potential of the public sector to deploy BIM in construction projects is greatly influenced by varying degree of organisational capability attributes with bureaucratic culture (mean score, MS = 3.37), structural complexity (MS = 3.17), lack of skilled and trained staff (MS = 3.12), personnel stability (MS = 3.11), staff cooperation (MS = 3.09) and political constraint (MS = 3.07) ranked highest. Through factor analysis, these and other highly influential factors were grouped into eight components, namely management-related, policy-related, technical-related, attitude-related, work structure-related, work ethic-related, decision-related and feedback-related factors. This grouping reflects the various components of organisational capability attributes which the public sector needs to efficiently develop to benefit from project management paradigm introduced by BIM.Practical implicationsThis study provided information for improving specific capability attributes with respect to human and technical resources as well as other soft infrastructure to support BIM implementation on building projects by the public sector client. The study also serves as a guide for understanding BIM implementation by the public sector in similar socio-political and economic contexts.Originality/valueThis assessment indicates various degrees by which the organisational attributes of public sector have influenced the attributes' capability to implement BIM on construction projects. Thus, findings provide information on areas of improvement for better implementation of BIM by the public sector in project delivery.
{"title":"Factors influencing the organisational capabilities of the public sector for implementation of building information modelling in construction projects","authors":"A. Yusuf, A. Opawole, N. A. Musa, D. S. Kadiri, E. Ebunoluwa","doi":"10.1108/ijbpa-01-2022-0020","DOIUrl":"https://doi.org/10.1108/ijbpa-01-2022-0020","url":null,"abstract":"PurposeThis study examined factors influencing the organisational capabilities of the public sector for building information modelling (BIM) implementation in construction projects with a view to enhancing the performance of public sector projects.Design/methodology/approachThe study adopted a quantitative descriptive analysis that was based on primary data. In total, 198 valid questionnaires obtained from construction professionals within the public sector provided primary quantitative data for the assessment. The respondents provided the responses on the factors which were identified through an in-depth synthesis of literature relating to organisational capabilities of the public sector. Data collected were analysed using descriptive and inferential statistics.FindingsThe findings established that the potential of the public sector to deploy BIM in construction projects is greatly influenced by varying degree of organisational capability attributes with bureaucratic culture (mean score, MS = 3.37), structural complexity (MS = 3.17), lack of skilled and trained staff (MS = 3.12), personnel stability (MS = 3.11), staff cooperation (MS = 3.09) and political constraint (MS = 3.07) ranked highest. Through factor analysis, these and other highly influential factors were grouped into eight components, namely management-related, policy-related, technical-related, attitude-related, work structure-related, work ethic-related, decision-related and feedback-related factors. This grouping reflects the various components of organisational capability attributes which the public sector needs to efficiently develop to benefit from project management paradigm introduced by BIM.Practical implicationsThis study provided information for improving specific capability attributes with respect to human and technical resources as well as other soft infrastructure to support BIM implementation on building projects by the public sector client. The study also serves as a guide for understanding BIM implementation by the public sector in similar socio-political and economic contexts.Originality/valueThis assessment indicates various degrees by which the organisational attributes of public sector have influenced the attributes' capability to implement BIM on construction projects. Thus, findings provide information on areas of improvement for better implementation of BIM by the public sector in project delivery.","PeriodicalId":44905,"journal":{"name":"International Journal of Building Pathology and Adaptation","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2022-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46227046","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-07DOI: 10.1108/ijbpa-12-2021-0160
C. Hema, Philbert Nshimiyimana, A. Messan, A. Lawane, G. van Moeseke
PurposeAppropriate thermal properties of walls can lead to the improvement of the indoor environment of buildings especially in countries with low energy availability such as Burkina Faso. In order to benefit from these advantages, the thermal properties must be properly characterized. This paper investigates the impact of the design of single- and double-layer walls based on compressed Earth blocks (CEB) on the risk of indoor overheating.Design/methodology/approachFirst a building has been used as a tool to measure climate data. Then, a software program was used to define an accurate thermal model. Two indices were defined: weighted exceedance hour (WEH) related to the risk of overheating and cyclic thickness (ξ) related to the thermal properties of the walls. The aim is to define the appropriate values of ξ which minimized the WEH. The study also assesses the sensitivity of these thermal properties to occupancy profiles.FindingsThe results indicate the arrangements of the thermal properties that can promote comfortable environments. In single-layer wall buildings, ξ = 2.43 and ξ = 3.93 are the most suitable values to minimize WEH for the room occupied during the day and night, respectively. If a double-layer wall is used, ξ = 1.42 and CEB layer inside is the most suitable for the room occupied during the day, while ξ = 2.43 and CEB outside should be preferred in the case of a room with night occupancy profile.Originality/valueThe findings indicate that occupation patterns at room scale should be systematically considered when dealing with wall design in order to improve the thermal comfort.
{"title":"Reducing overheating risk in naturally ventilated houses through the design of compressed Earth blocks walls in hot dry climate","authors":"C. Hema, Philbert Nshimiyimana, A. Messan, A. Lawane, G. van Moeseke","doi":"10.1108/ijbpa-12-2021-0160","DOIUrl":"https://doi.org/10.1108/ijbpa-12-2021-0160","url":null,"abstract":"PurposeAppropriate thermal properties of walls can lead to the improvement of the indoor environment of buildings especially in countries with low energy availability such as Burkina Faso. In order to benefit from these advantages, the thermal properties must be properly characterized. This paper investigates the impact of the design of single- and double-layer walls based on compressed Earth blocks (CEB) on the risk of indoor overheating.Design/methodology/approachFirst a building has been used as a tool to measure climate data. Then, a software program was used to define an accurate thermal model. Two indices were defined: weighted exceedance hour (WEH) related to the risk of overheating and cyclic thickness (ξ) related to the thermal properties of the walls. The aim is to define the appropriate values of ξ which minimized the WEH. The study also assesses the sensitivity of these thermal properties to occupancy profiles.FindingsThe results indicate the arrangements of the thermal properties that can promote comfortable environments. In single-layer wall buildings, ξ = 2.43 and ξ = 3.93 are the most suitable values to minimize WEH for the room occupied during the day and night, respectively. If a double-layer wall is used, ξ = 1.42 and CEB layer inside is the most suitable for the room occupied during the day, while ξ = 2.43 and CEB outside should be preferred in the case of a room with night occupancy profile.Originality/valueThe findings indicate that occupation patterns at room scale should be systematically considered when dealing with wall design in order to improve the thermal comfort.","PeriodicalId":44905,"journal":{"name":"International Journal of Building Pathology and Adaptation","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2022-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45362617","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-07DOI: 10.1108/ijbpa-07-2022-0102
H. E. Ilgın
PurposeTo date, there are no studies in the literature that provide a comprehensive understanding of the interrelationships between the slenderness ratio and the main design criteria in supertall towers (=300 m). In this paper, this important issue was explored using detailed data collected from 75 cases.Design/methodology/approachThis paper was carried out with a comprehensive literature review including the database of the Council on Tall Buildings and Urban Habitat(CTBUH) (CTBUH, 2022), peer-reviewed journals, MSc theses and PhD dissertations, conference proceedings, fact sheets, architectural and structural magazines and other Internet sources. In this study, the case study method was also used to gather and consolidate information about supertall towers to analyze the interrelationships. Cases were 75 supertall buildings in various countries [44 from Asia (37 from China), 16 from the Middle East (6 from Dubai, the United Arab Emirates), 11 from the United States of America and 3 from Russia, 1 from the UK].FindingsThe paper's findings highlighted as follows: (1) for buildings in the height range of 300–399 m, the slenderness ratio was usually between 7 and 7.9 and megatall towers were frequently built at a slenderness ratio of 10–15; (2) the median slenderness ratio of buildings in the 400–599 m height ranges was around 8.6; (3) a trend towards supertall slender buildings (=8) was observed in Asia, the Middle East and North America; (4) residential, office and mixed-use towers had a median slenderness ratio of over 7.5; (5) all building forms were utilized in the construction of slender towers (>8); (6) the medium slenderness ratio was around 8 for supertall buildings constructed with outriggered frame and tube systems; (7) especially concrete towers reached values pushing the limits of slenderness (>10) and (8) since the number of some supertall building groups (e.g. steel towers) was not sufficient, establishing a scientific relationship between aspect ratio and related design criteria was not possible.Originality/valueTo date, there are no studies in the literature that provide a comprehensive understanding of the interrelationships between the slenderness ratio and the main design criteria in supertall towers (=300 m). This important issue was explored using detailed data collected from 75 cases.
{"title":"Interrelations of slenderness ratio and main design criteria in supertall buildings","authors":"H. E. Ilgın","doi":"10.1108/ijbpa-07-2022-0102","DOIUrl":"https://doi.org/10.1108/ijbpa-07-2022-0102","url":null,"abstract":"PurposeTo date, there are no studies in the literature that provide a comprehensive understanding of the interrelationships between the slenderness ratio and the main design criteria in supertall towers (=300 m). In this paper, this important issue was explored using detailed data collected from 75 cases.Design/methodology/approachThis paper was carried out with a comprehensive literature review including the database of the Council on Tall Buildings and Urban Habitat(CTBUH) (CTBUH, 2022), peer-reviewed journals, MSc theses and PhD dissertations, conference proceedings, fact sheets, architectural and structural magazines and other Internet sources. In this study, the case study method was also used to gather and consolidate information about supertall towers to analyze the interrelationships. Cases were 75 supertall buildings in various countries [44 from Asia (37 from China), 16 from the Middle East (6 from Dubai, the United Arab Emirates), 11 from the United States of America and 3 from Russia, 1 from the UK].FindingsThe paper's findings highlighted as follows: (1) for buildings in the height range of 300–399 m, the slenderness ratio was usually between 7 and 7.9 and megatall towers were frequently built at a slenderness ratio of 10–15; (2) the median slenderness ratio of buildings in the 400–599 m height ranges was around 8.6; (3) a trend towards supertall slender buildings (=8) was observed in Asia, the Middle East and North America; (4) residential, office and mixed-use towers had a median slenderness ratio of over 7.5; (5) all building forms were utilized in the construction of slender towers (>8); (6) the medium slenderness ratio was around 8 for supertall buildings constructed with outriggered frame and tube systems; (7) especially concrete towers reached values pushing the limits of slenderness (>10) and (8) since the number of some supertall building groups (e.g. steel towers) was not sufficient, establishing a scientific relationship between aspect ratio and related design criteria was not possible.Originality/valueTo date, there are no studies in the literature that provide a comprehensive understanding of the interrelationships between the slenderness ratio and the main design criteria in supertall towers (=300 m). This important issue was explored using detailed data collected from 75 cases.","PeriodicalId":44905,"journal":{"name":"International Journal of Building Pathology and Adaptation","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2022-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44843335","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Purpose This research aims to examine the relationship between the physical environment and neuropsychological perception in children with Asperger’s disorder.Design/methodology/approach This study through mixed qualitative–quantitative approaches conducted strategies including a survey and case study. Accordingly, multiple methods were applied to collect data including semi-structured expert interviews (20 persons) and questionnaires (N = 400). The sampling strategy of questionnaire participants was random clustering and the target population was children with Asperger from Iran Asperger Support Associations. Besides, the sampling strategy for the participants of semi-structured expert interviews was non-random and purposeful. The collected data from the participant’s questionnaires and interviews were analyzed by Porsline and Excel software and content analysis, respectively.Findings Based on the relationship between the physical environment and neuropsychological perception, the results of the research indicate that despite all existing differences between the two spectra of hyper-sensitive and hypo-sensitive behaviors, it is possible to design architectural spaces responding to their common needs and satisfy both spectra.Originality/value This research on to healing aspect is quite new and contributes significant information about health issues in building design. This study tries to derive and examine the supportive characteristics of architectural spaces that integrate special physical and effective designs to improve the healing process of children with Asperger’s disorder.
{"title":"Relationship between physical environment and neuropsychological perception in children with Asperger’s disorder","authors":"Haniyeh Ehsani Far, Siyamak Nayyeri Fallah, Akram Khalili","doi":"10.1108/ijbpa-12-2021-0165","DOIUrl":"https://doi.org/10.1108/ijbpa-12-2021-0165","url":null,"abstract":"Purpose This research aims to examine the relationship between the physical environment and neuropsychological perception in children with Asperger’s disorder.Design/methodology/approach This study through mixed qualitative–quantitative approaches conducted strategies including a survey and case study. Accordingly, multiple methods were applied to collect data including semi-structured expert interviews (20 persons) and questionnaires (N = 400). The sampling strategy of questionnaire participants was random clustering and the target population was children with Asperger from Iran Asperger Support Associations. Besides, the sampling strategy for the participants of semi-structured expert interviews was non-random and purposeful. The collected data from the participant’s questionnaires and interviews were analyzed by Porsline and Excel software and content analysis, respectively.Findings Based on the relationship between the physical environment and neuropsychological perception, the results of the research indicate that despite all existing differences between the two spectra of hyper-sensitive and hypo-sensitive behaviors, it is possible to design architectural spaces responding to their common needs and satisfy both spectra.Originality/value This research on to healing aspect is quite new and contributes significant information about health issues in building design. This study tries to derive and examine the supportive characteristics of architectural spaces that integrate special physical and effective designs to improve the healing process of children with Asperger’s disorder.","PeriodicalId":44905,"journal":{"name":"International Journal of Building Pathology and Adaptation","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2022-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46171091","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-04DOI: 10.1108/ijbpa-05-2022-0084
M. H. Momade, S. Durdyev, Saurav Dixit, Shamsuddin Shahid, Abubakar Kori Alkali
PurposeConstruction projects in Malaysia are often delayed and over budget due to heavy reliance on labor. Linear regression (LR) models have been used in most labor cost (LC) studies, which are less accurate than machine learning (ML) tools. Construction management applications have increasingly used ML tools in recent years and have greatly impacted forecasting. The research aims to identify the most influential LC factors using statistical approaches, collect data and forecast LC models for improved forecasts of LC.Design/methodology/approachA thorough literature review was completed to identify LC factors. Experienced project managers were administered to rank the factors based on importance and relevance. Then, data were collected for the six highest ranked factors, and five ML models were created. Finally, five categorical indices were used to analyze and measure the effectiveness of models in determining the performance category.FindingsWorker age, construction skills, worker origin, worker training/education, type of work and worker experience were identified as the most influencing factors on LC. SVM provided the best in comparison to other models.Originality/valueThe findings support data-driven regulatory and practice improvements aimed at improving labor issues in Malaysia, with the possibility for replication in other countries facing comparable problems.
{"title":"Modeling labor costs using artificial intelligence tools","authors":"M. H. Momade, S. Durdyev, Saurav Dixit, Shamsuddin Shahid, Abubakar Kori Alkali","doi":"10.1108/ijbpa-05-2022-0084","DOIUrl":"https://doi.org/10.1108/ijbpa-05-2022-0084","url":null,"abstract":"PurposeConstruction projects in Malaysia are often delayed and over budget due to heavy reliance on labor. Linear regression (LR) models have been used in most labor cost (LC) studies, which are less accurate than machine learning (ML) tools. Construction management applications have increasingly used ML tools in recent years and have greatly impacted forecasting. The research aims to identify the most influential LC factors using statistical approaches, collect data and forecast LC models for improved forecasts of LC.Design/methodology/approachA thorough literature review was completed to identify LC factors. Experienced project managers were administered to rank the factors based on importance and relevance. Then, data were collected for the six highest ranked factors, and five ML models were created. Finally, five categorical indices were used to analyze and measure the effectiveness of models in determining the performance category.FindingsWorker age, construction skills, worker origin, worker training/education, type of work and worker experience were identified as the most influencing factors on LC. SVM provided the best in comparison to other models.Originality/valueThe findings support data-driven regulatory and practice improvements aimed at improving labor issues in Malaysia, with the possibility for replication in other countries facing comparable problems.","PeriodicalId":44905,"journal":{"name":"International Journal of Building Pathology and Adaptation","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2022-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"62561944","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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