Automated code compliance checking is an effective approach for assessing the quality of building information modeling (BIM) models. Various automated code compliance checking systems have emerged, wherein users need to input all information accurately according to BIM modeling guidelines, in order to ensure the accuracy of checking results. However, as this process involves human inputs, it is difficult to ensure that each input is accurate. In the case of errors or missing inputs, the checking results will be erroneous. Although automated checking systems can be developed accurately, it is difficult to apply these systems practically. Therefore, this paper proposes the application of AI technology to recognize BIM objects and visible properties, in order to improve the operability of automated code compliance checking. The two necessary elements – object names and properties – could be automatically extracted to a certain extent, following the application of the proposed method to the automated code checking process. The error rate of the input could also be reduced, thus making the application of the code checking system more practically feasible. The proposed recognition method for BIM objects and visible properties is also expected to be used widely in BIM-based building e-submission systems and BIM-based forward designs.
{"title":"APPLYING AI TECHNOLOGY TO RECOGNIZE BIM OBJECTS AND VISIBLE PROPERTIES FOR ACHIEVING AUTOMATED CODE COMPLIANCE CHECKING","authors":"Hongwei Sun, Inhan Kim","doi":"10.3846/jcem.2022.16994","DOIUrl":"https://doi.org/10.3846/jcem.2022.16994","url":null,"abstract":"Automated code compliance checking is an effective approach for assessing the quality of building information modeling (BIM) models. Various automated code compliance checking systems have emerged, wherein users need to input all information accurately according to BIM modeling guidelines, in order to ensure the accuracy of checking results. However, as this process involves human inputs, it is difficult to ensure that each input is accurate. In the case of errors or missing inputs, the checking results will be erroneous. Although automated checking systems can be developed accurately, it is difficult to apply these systems practically. Therefore, this paper proposes the application of AI technology to recognize BIM objects and visible properties, in order to improve the operability of automated code compliance checking. The two necessary elements – object names and properties – could be automatically extracted to a certain extent, following the application of the proposed method to the automated code checking process. The error rate of the input could also be reduced, thus making the application of the code checking system more practically feasible. The proposed recognition method for BIM objects and visible properties is also expected to be used widely in BIM-based building e-submission systems and BIM-based forward designs.","PeriodicalId":15524,"journal":{"name":"Journal of Civil Engineering and Management","volume":"1 1","pages":""},"PeriodicalIF":4.3,"publicationDate":"2022-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69998801","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
International construction projects are facing various severe risks from country, partner, company, and project. Global contractors have suffered heavy losses. Previous researches have proved that an available organizational risk repository is a reliable knowledge source that can be used to introduce experience-based solutions of how specific risks can be managed in international construction projects. The construction of the organizational risk repository calls for an effective feedback mechanism that dispels the organizational culture of unwillingness to disclose management failure and encourages proactive creation and retention of data and information on historical projects and risk-related knowledge. Hence, this paper proposes a risk causation model for international construction projects (RCM_ICP) to support such a mechanism. RCM_ICP links response measures to the chain of risks to identify management failures and conduct modifications, thereby promoting thinking on the part of the management and capturing key risk management experiences. It includes a category component for the efficient retrieval of relevant knowledge based on country-related factors. Besides, this paper proposes the risk review procedures as the instruction of RCM_ICP. Hence, this research breaks the barriers of sharing information between project and organization levels in a project-based industry.
{"title":"RISK CAUSATION MODEL TO CAPTURE AND TRANSFER KNOWLEDGE IN INTERNATIONAL CONSTRUCTION PROJECTS","authors":"Fengfeng Zhu, Hao Hu, F. Xu","doi":"10.3846/jcem.2022.16925","DOIUrl":"https://doi.org/10.3846/jcem.2022.16925","url":null,"abstract":"International construction projects are facing various severe risks from country, partner, company, and project. Global contractors have suffered heavy losses. Previous researches have proved that an available organizational risk repository is a reliable knowledge source that can be used to introduce experience-based solutions of how specific risks can be managed in international construction projects. The construction of the organizational risk repository calls for an effective feedback mechanism that dispels the organizational culture of unwillingness to disclose management failure and encourages proactive creation and retention of data and information on historical projects and risk-related knowledge. Hence, this paper proposes a risk causation model for international construction projects (RCM_ICP) to support such a mechanism. RCM_ICP links response measures to the chain of risks to identify management failures and conduct modifications, thereby promoting thinking on the part of the management and capturing key risk management experiences. It includes a category component for the efficient retrieval of relevant knowledge based on country-related factors. Besides, this paper proposes the risk review procedures as the instruction of RCM_ICP. Hence, this research breaks the barriers of sharing information between project and organization levels in a project-based industry.","PeriodicalId":15524,"journal":{"name":"Journal of Civil Engineering and Management","volume":" ","pages":""},"PeriodicalIF":4.3,"publicationDate":"2022-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46815307","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Zezhou Wu, Kaiwen Deng, Changhong Chen, Heng Li, M. F. Antwi-Afari, Ying Wang
Enhancing coordination between stakeholders is a critical function of Building Information Modeling (BIM). Recently, there have been numerous studies investigating BIM-based coordination; however, no explicit attempt has been made to investigate the current status of relevant research and determine the future directions. Hence, this study examines the BIM-based coordination literature published from 2006 to 2020 through bibliometric literature searching, scientific mapping, and in-depth critical analysis to fill the research gap. After a comprehensive filtering process, 656 pieces of literature were collected from Scopus. To map the representative information in the BIM-based coordination research, the determination and visualization of the most influential scholars, journals, countries/regions, and articles, as well as their importance and relationships, were performed through VOSviewer. Four emerging research topics were further discussed according to the determined scientific map. Moreover, a framework that presents the existing research gaps and future research directions was proposed. This research provides a clear picture of the leading information and future research trends of the BIM-based coordination, contributing to the body of knowledge theoretically and offering references for related stakeholders practically.
{"title":"STATUS QUO AND FUTURE TRENDS OF BIM-BASED COORDINATION RESEARCH: A CRITICAL REVIEW","authors":"Zezhou Wu, Kaiwen Deng, Changhong Chen, Heng Li, M. F. Antwi-Afari, Ying Wang","doi":"10.3846/jcem.2022.16928","DOIUrl":"https://doi.org/10.3846/jcem.2022.16928","url":null,"abstract":"Enhancing coordination between stakeholders is a critical function of Building Information Modeling (BIM). Recently, there have been numerous studies investigating BIM-based coordination; however, no explicit attempt has been made to investigate the current status of relevant research and determine the future directions. Hence, this study examines the BIM-based coordination literature published from 2006 to 2020 through bibliometric literature searching, scientific mapping, and in-depth critical analysis to fill the research gap. After a comprehensive filtering process, 656 pieces of literature were collected from Scopus. To map the representative information in the BIM-based coordination research, the determination and visualization of the most influential scholars, journals, countries/regions, and articles, as well as their importance and relationships, were performed through VOSviewer. Four emerging research topics were further discussed according to the determined scientific map. Moreover, a framework that presents the existing research gaps and future research directions was proposed. This research provides a clear picture of the leading information and future research trends of the BIM-based coordination, contributing to the body of knowledge theoretically and offering references for related stakeholders practically.","PeriodicalId":15524,"journal":{"name":"Journal of Civil Engineering and Management","volume":" ","pages":""},"PeriodicalIF":4.3,"publicationDate":"2022-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48037116","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Various construction accidents are proven to be caused by multiple unsafe behaviors (e.g., wrong use of PPE), but the risk transmission among different behaviors remains unclear. This paper provides insight into risk transmission through behavioral risk chain that leads to accidents from a system safety perspective. To better understand the coupling mechanism of various unsafe behaviors, integrate different behavioral risk chains and present the risk transmission process, a directed-weighted complex network (DWCN) method was adopted. Historical urban railway construction accidents in China are investigated to extract behavioral risk chain. A DW-BRCNA is applied to integrated behavioral risk chain and the behavioral risk transmission characteristics are explored and clarified by the five network properties, including degree and degree distribution, node strength and node strength distribution, average path length and diameter, weighted clustering coefficient and betweenness centrality. The results show that DW-BRCNA has the characteristics of a small-world, scale-free and hierarchical network, indicating that some unsafe behaviors are of greater importance in the process of risk transmission through behavioral risk chains. In addition, risk transmission in critical behavioral risk chains is more potentially to lead to accidents. This study proposed a new perspective of accident causation analysis from risk transmission among unsafe behaviors. It explains the risk transmission characteristics by a DWCN method based on behavioral risk chains. The findings also provide a practical guidance for developing control strategies on sites to prevent risk transmission and reduce accidents.
{"title":"EXPLORING THE RISK TRANSMISSION CHARACTERISTICS AMONG UNSAFE BEHAVIORS WITHIN URBAN RAILWAY CONSTRUCTION ACCIDENTS","authors":"Bing Tang, Shengyu Guo, Jichao Li, Wei Lu","doi":"10.3846/jcem.2022.16924","DOIUrl":"https://doi.org/10.3846/jcem.2022.16924","url":null,"abstract":"Various construction accidents are proven to be caused by multiple unsafe behaviors (e.g., wrong use of PPE), but the risk transmission among different behaviors remains unclear. This paper provides insight into risk transmission through behavioral risk chain that leads to accidents from a system safety perspective. To better understand the coupling mechanism of various unsafe behaviors, integrate different behavioral risk chains and present the risk transmission process, a directed-weighted complex network (DWCN) method was adopted. Historical urban railway construction accidents in China are investigated to extract behavioral risk chain. A DW-BRCNA is applied to integrated behavioral risk chain and the behavioral risk transmission characteristics are explored and clarified by the five network properties, including degree and degree distribution, node strength and node strength distribution, average path length and diameter, weighted clustering coefficient and betweenness centrality. The results show that DW-BRCNA has the characteristics of a small-world, scale-free and hierarchical network, indicating that some unsafe behaviors are of greater importance in the process of risk transmission through behavioral risk chains. In addition, risk transmission in critical behavioral risk chains is more potentially to lead to accidents. This study proposed a new perspective of accident causation analysis from risk transmission among unsafe behaviors. It explains the risk transmission characteristics by a DWCN method based on behavioral risk chains. The findings also provide a practical guidance for developing control strategies on sites to prevent risk transmission and reduce accidents.","PeriodicalId":15524,"journal":{"name":"Journal of Civil Engineering and Management","volume":" ","pages":""},"PeriodicalIF":4.3,"publicationDate":"2022-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49360136","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Construction projects that involve repetitive operations are often referred to as repetitive construction projects. Scheduling them proves a task more demanding than in the case of projects in other industries. Typical objectives of optimization, a characteristic set of constraints, as well as the schedule’s susceptibility to the propagation of disruptions caused by materializing risks, call for specific scheduling methods. The authors review the literature to summarize the existing repetitive scheduling methods and put forward their classification to identify the method’s aspects needing refinement. This is done to point to directions of further research. The authors hope that this study will contribute to better identification of existing problems in planning repetitive construction projects and faster development of decision support systems, eagerly anticipated by the construction practitioners. Though the focus is on applications to construction projects, the repetitive scheduling methods that account for volatile operating conditions may be of interest to researchers who develop planning techniques for other industries.
{"title":"SCHEDULING REPETITIVE CONSTRUCTION PROJECTS: STRUCTURED LITERATURE REVIEW","authors":"M. Tomczak, P. Jaśkowski","doi":"10.3846/jcem.2022.16943","DOIUrl":"https://doi.org/10.3846/jcem.2022.16943","url":null,"abstract":"Construction projects that involve repetitive operations are often referred to as repetitive construction projects. Scheduling them proves a task more demanding than in the case of projects in other industries. Typical objectives of optimization, a characteristic set of constraints, as well as the schedule’s susceptibility to the propagation of disruptions caused by materializing risks, call for specific scheduling methods. The authors review the literature to summarize the existing repetitive scheduling methods and put forward their classification to identify the method’s aspects needing refinement. This is done to point to directions of further research. The authors hope that this study will contribute to better identification of existing problems in planning repetitive construction projects and faster development of decision support systems, eagerly anticipated by the construction practitioners. Though the focus is on applications to construction projects, the repetitive scheduling methods that account for volatile operating conditions may be of interest to researchers who develop planning techniques for other industries.","PeriodicalId":15524,"journal":{"name":"Journal of Civil Engineering and Management","volume":" ","pages":""},"PeriodicalIF":4.3,"publicationDate":"2022-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49001413","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
J. J. Mesa-Jiménez, L. Stokes, QingPing Yang, V. Livina
In building management systems (BMS), a medium building may have between 200 and 1000 sensor points. Their labels need to be translated into a naming standard so they can be automatically recognised by the BMS platform. The current industrial practices often manually translate these points into labels (this is known as the tagging process), which takes around 8 hours for every 100 points. We introduce an AI-based multi-stage text classification that translates BMS points into formatted BMS labels. After comparing five different techniques for text classification (logistic regression, random forests, XGBoost, multinomial Naive Bayes and linear support vector classification), we demonstrate that XGBoost is the top performer with 90.29% of true positives, and use the prediction confidence to filter out false positives. This approach can be applied in sensors networks in various applications, where manual free-text data pre-processing remains cumbersome.
{"title":"MACHINE LEARNING FOR TEXT CLASSIFICATION IN BUILDING MANAGEMENT SYSTEMS","authors":"J. J. Mesa-Jiménez, L. Stokes, QingPing Yang, V. Livina","doi":"10.3846/jcem.2022.16012","DOIUrl":"https://doi.org/10.3846/jcem.2022.16012","url":null,"abstract":"In building management systems (BMS), a medium building may have between 200 and 1000 sensor points. Their labels need to be translated into a naming standard so they can be automatically recognised by the BMS platform. The current industrial practices often manually translate these points into labels (this is known as the tagging process), which takes around 8 hours for every 100 points. We introduce an AI-based multi-stage text classification that translates BMS points into formatted BMS labels. After comparing five different techniques for text classification (logistic regression, random forests, XGBoost, multinomial Naive Bayes and linear support vector classification), we demonstrate that XGBoost is the top performer with 90.29% of true positives, and use the prediction confidence to filter out false positives. This approach can be applied in sensors networks in various applications, where manual free-text data pre-processing remains cumbersome.","PeriodicalId":15524,"journal":{"name":"Journal of Civil Engineering and Management","volume":" ","pages":""},"PeriodicalIF":4.3,"publicationDate":"2022-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41839674","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The risk-informed decision-making of metro tunnel project is often faced with the problem of inadequate utilization of available information. In order to address the epistemic uncertainty problem caused by insufficient utilization of information in decision-making, this paper proposes a risk decision support approach for metro tunnel construction based on Continuous Time Bayesian Network (CTBN) technique. CTBN can factor the state space of variables in tunnel projects and perform evidence-based reasoning, which enables the diverse information of expert opinions, project-specific parameters, historical data and engineering anomalies to be the evidence to support decision-making. A concise CTBN model development method based on Dynamic Fault Trees is presented to replace the cumbersome model learning process. The proposed approach can utilize multi-source information as evidence to provide multi-form decision support both in the pre-construction stage and construction stage of the tunnel construction project, and the results can support the decisions on judging the acceptability of the risk, developing response strategies for risk factors and diagnosing the causes of the hazardous event. A case study on the water leakage risk of tunnel construction in China is presented to illustrate the feasibility of the approach. The case study shows that the approach can assist in making informed decisions, so as to improve the engineering safety.
{"title":"AN EVIDENCE-BASED RISK DECISION SUPPORT APPROACH FOR METRO TUNNEL CONSTRUCTION","authors":"Y. Guo, Junjie Zheng, Rong-jun Zhang, Youbin Yang","doi":"10.3846/jcem.2022.16807","DOIUrl":"https://doi.org/10.3846/jcem.2022.16807","url":null,"abstract":"The risk-informed decision-making of metro tunnel project is often faced with the problem of inadequate utilization of available information. In order to address the epistemic uncertainty problem caused by insufficient utilization of information in decision-making, this paper proposes a risk decision support approach for metro tunnel construction based on Continuous Time Bayesian Network (CTBN) technique. CTBN can factor the state space of variables in tunnel projects and perform evidence-based reasoning, which enables the diverse information of expert opinions, project-specific parameters, historical data and engineering anomalies to be the evidence to support decision-making. A concise CTBN model development method based on Dynamic Fault Trees is presented to replace the cumbersome model learning process. The proposed approach can utilize multi-source information as evidence to provide multi-form decision support both in the pre-construction stage and construction stage of the tunnel construction project, and the results can support the decisions on judging the acceptability of the risk, developing response strategies for risk factors and diagnosing the causes of the hazardous event. A case study on the water leakage risk of tunnel construction in China is presented to illustrate the feasibility of the approach. The case study shows that the approach can assist in making informed decisions, so as to improve the engineering safety.","PeriodicalId":15524,"journal":{"name":"Journal of Civil Engineering and Management","volume":" ","pages":""},"PeriodicalIF":4.3,"publicationDate":"2022-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46250682","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Digitalisation of the construction industry is exposing it to cybersecurity risks. All phases of construction can be affected. Particularly vulnerable are information-intensive phases such as building design and building operation. Construction is among the last industries that are discovering its cybersecurity risks and can rely on frameworks developed for other contexts. In this paper, we evaluate the cybersecurity risks of the design phase of construction using the Cyber Assessment Framework from the National Cybersecurity Centre (NCSC) of the UK. The goal of this study is twofold. First, to examine cybersecurity risks themselves, and second, to evaluate the applicability of the NCSC framework for construction to see if and how construction is specific. The analysis shows that the cybersecurity risks follow the information impact curve that has been motivating the introduction of Building Information Modelling (BIM). The framework is applicable but is weak in addressing the specifics of the construction industrial ecosystem, which involves a multitude of dynamically connected actors, their overlapping authorities, and conflicting motives. It is suggested that a specialized constructionrelated framework should be developed.
{"title":"CYBERSECURITY ASSESSMENT OF BIM/CDE DESIGN ENVIRONMENT USING CYBER ASSESSMENT FRAMEWORK","authors":"Žiga Turk, Muammer Semih Sonkor, Robert Klinc","doi":"10.3846/jcem.2022.16682","DOIUrl":"https://doi.org/10.3846/jcem.2022.16682","url":null,"abstract":"Digitalisation of the construction industry is exposing it to cybersecurity risks. All phases of construction can be affected. Particularly vulnerable are information-intensive phases such as building design and building operation. Construction is among the last industries that are discovering its cybersecurity risks and can rely on frameworks developed for other contexts. In this paper, we evaluate the cybersecurity risks of the design phase of construction using the Cyber Assessment Framework from the National Cybersecurity Centre (NCSC) of the UK. The goal of this study is twofold. First, to examine cybersecurity risks themselves, and second, to evaluate the applicability of the NCSC framework for construction to see if and how construction is specific. The analysis shows that the cybersecurity risks follow the information impact curve that has been motivating the introduction of Building Information Modelling (BIM). The framework is applicable but is weak in addressing the specifics of the construction industrial ecosystem, which involves a multitude of dynamically connected actors, their overlapping authorities, and conflicting motives. It is suggested that a specialized constructionrelated framework should be developed.","PeriodicalId":15524,"journal":{"name":"Journal of Civil Engineering and Management","volume":" ","pages":""},"PeriodicalIF":4.3,"publicationDate":"2022-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43773588","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The construction industry in the Middle East and North Africa (MENA) faces many challenges throughout the project’s lifecycle; on top of these challenges is poor communication which occasionally results in project failure or at least time and cost overruns. A range of steps and methods must be taken to minimize the causes and effects of poor communication to enhance communication. The main aim of the study is to exploring poor communication in MENA construction industry and defining the causes and effects of poor communication from the perspective of consultants, clients, and contractors in small and medium enterprises in a developed region like MENA. Construction professionals from different project parties were asked to complete a questionnaire listing 32 causes and 21 effects of poor communication identified from the literature. The model was validated by Structural Equation Modelling SEM in terms of convergent and discriminant validities. The results revealed, that out of 54 cause and effect factors of poor communication, only 18 factors were retained. These causes and effects were ranked using the relative importance index RII. Results showed that all causes and effects are highly important, with RII above 0.6. The most important causes of poor communication are lack of communication procedure and training, followed by lack of adequate representation for project stakeholders. However, the least important cause of poor communication is a lack of understanding among the construction parties. Conversely, the most acute effects of poor communication are misinterpretation, followed by conflict among construction parties. However, the least important effect of poor communication is a late response to the disaster. Results and recommendations derived from this study represent the vital need of the MENA construction industry to focus on enhancing the current status of communication. The commitment of all project stakeholders to the drawn recommendations regarding the causes of poor communication will undoubtedly limit or reduce the effects of poor communication. Construction firms looking to improve their performance may benefit from the developed model.
{"title":"CAUSES AND EFFECTS OF POOR COMMUNICATION IN THE CONSTRUCTION INDUSTRY IN THE MENA REGION","authors":"Akram Suleiman","doi":"10.3846/jcem.2022.16728","DOIUrl":"https://doi.org/10.3846/jcem.2022.16728","url":null,"abstract":"The construction industry in the Middle East and North Africa (MENA) faces many challenges throughout the project’s lifecycle; on top of these challenges is poor communication which occasionally results in project failure or at least time and cost overruns. A range of steps and methods must be taken to minimize the causes and effects of poor communication to enhance communication. The main aim of the study is to exploring poor communication in MENA construction industry and defining the causes and effects of poor communication from the perspective of consultants, clients, and contractors in small and medium enterprises in a developed region like MENA. Construction professionals from different project parties were asked to complete a questionnaire listing 32 causes and 21 effects of poor communication identified from the literature. The model was validated by Structural Equation Modelling SEM in terms of convergent and discriminant validities. The results revealed, that out of 54 cause and effect factors of poor communication, only 18 factors were retained. These causes and effects were ranked using the relative importance index RII. Results showed that all causes and effects are highly important, with RII above 0.6. The most important causes of poor communication are lack of communication procedure and training, followed by lack of adequate representation for project stakeholders. However, the least important cause of poor communication is a lack of understanding among the construction parties. Conversely, the most acute effects of poor communication are misinterpretation, followed by conflict among construction parties. However, the least important effect of poor communication is a late response to the disaster. Results and recommendations derived from this study represent the vital need of the MENA construction industry to focus on enhancing the current status of communication. The commitment of all project stakeholders to the drawn recommendations regarding the causes of poor communication will undoubtedly limit or reduce the effects of poor communication. Construction firms looking to improve their performance may benefit from the developed model.","PeriodicalId":15524,"journal":{"name":"Journal of Civil Engineering and Management","volume":" ","pages":""},"PeriodicalIF":4.3,"publicationDate":"2022-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44913795","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Dewen Liu, Liping Li, Yafei Zhang, Lihao Chen, Feng Wan, Fan Yang
The new staggered story isolated structure is a new type of seismic isolated structure developed from base isolated structure and inter-story isolated structure. In order to explore the seismic response of the new staggered story isolated structure considering the soil-structure interaction (SSI), the model of a new staggered story isolated structure considering SSI effect is established to analyze the nonlinear dynamic time-history response under rare earthquakes, and the comparison between hard soil and soft soil was carried out. Results show that the stiffness of the new staggered story isolated structure reduced, the modal period extended and the seismic response reduced by considering the SSI effect, the softer the site soil, the more obvious those changes are. Meanwhile, the shear force and the damage of the core tube decreases, while the shear force and the damage of the frame increases, the shear force transfers from the core tube to the frame. Additionally, the energy absorption of the seismic isolated bearings at the frame reduced, the energy absorption of the seismic isolated bearings at the core tube increased, the softer the site soil, the more obvious the trend is.
{"title":"STUDY ON SEISMIC RESPONSE OF A NEW STAGGERED STORY ISOLATED STRUCTURE CONSIDERING SSI EFFECT","authors":"Dewen Liu, Liping Li, Yafei Zhang, Lihao Chen, Feng Wan, Fan Yang","doi":"10.3846/jcem.2022.16825","DOIUrl":"https://doi.org/10.3846/jcem.2022.16825","url":null,"abstract":"The new staggered story isolated structure is a new type of seismic isolated structure developed from base isolated structure and inter-story isolated structure. In order to explore the seismic response of the new staggered story isolated structure considering the soil-structure interaction (SSI), the model of a new staggered story isolated structure considering SSI effect is established to analyze the nonlinear dynamic time-history response under rare earthquakes, and the comparison between hard soil and soft soil was carried out. Results show that the stiffness of the new staggered story isolated structure reduced, the modal period extended and the seismic response reduced by considering the SSI effect, the softer the site soil, the more obvious those changes are. Meanwhile, the shear force and the damage of the core tube decreases, while the shear force and the damage of the frame increases, the shear force transfers from the core tube to the frame. Additionally, the energy absorption of the seismic isolated bearings at the frame reduced, the energy absorption of the seismic isolated bearings at the core tube increased, the softer the site soil, the more obvious the trend is.","PeriodicalId":15524,"journal":{"name":"Journal of Civil Engineering and Management","volume":" ","pages":""},"PeriodicalIF":4.3,"publicationDate":"2022-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48418354","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}