Al-Hussein M. H. Al-Aidrous, Ng Jenn Hern, Y. Rahmawati, M. Jahja, K. Yusof, N. Zawawi, C. Utomo, Raflis
The performance of any construction project is highly influenced by the efficient planning of materials among construction supply chain players. The improper planning for the construction project has been discussed recently in the literature, with a special focus on the logistic and material aspects. Completing a construction project within time and cost constraints is highly affected by the inventory management system. Such evidence proves the big impact of the inventory management system on construction performance. Derived from these arguments, the critical impact of the inventory and procurement system used at the construction site is definite. This research aims to examine the main factors that need to be considered when developing an inventory and procurement management system and classify the most influential and impactful factors. This research adopted a two-steps methodology, which started with an interview with construction experts then followed by a questionnaire survey targeting project managers and engineers from MRT Line 2 Tunneling infrastructure project in Malaysia. Exploratory Factor Analysis (EFA) was used for data analysis as well as the scatter plot of the mean and standard deviation analysis. The most critical factors affecting the inventory and procurement handling are related to the operation and management aspects. The top five impactful factors are communication between labor and management, information sharing, software usage on material tracking, purchasing plan, and construction progress. The research outcomes can be used to develop further mitigation plans in the early stages of infrastructure projects.
{"title":"CRITICAL FACTORS INFLUENCING INVENTORY AND PROCUREMENT SYSTEM OF INFRASTRUCTURE PROJECTS","authors":"Al-Hussein M. H. Al-Aidrous, Ng Jenn Hern, Y. Rahmawati, M. Jahja, K. Yusof, N. Zawawi, C. Utomo, Raflis","doi":"10.3846/jcem.2022.16681","DOIUrl":"https://doi.org/10.3846/jcem.2022.16681","url":null,"abstract":"The performance of any construction project is highly influenced by the efficient planning of materials among construction supply chain players. The improper planning for the construction project has been discussed recently in the literature, with a special focus on the logistic and material aspects. Completing a construction project within time and cost constraints is highly affected by the inventory management system. Such evidence proves the big impact of the inventory management system on construction performance. Derived from these arguments, the critical impact of the inventory and procurement system used at the construction site is definite. This research aims to examine the main factors that need to be considered when developing an inventory and procurement management system and classify the most influential and impactful factors. This research adopted a two-steps methodology, which started with an interview with construction experts then followed by a questionnaire survey targeting project managers and engineers from MRT Line 2 Tunneling infrastructure project in Malaysia. Exploratory Factor Analysis (EFA) was used for data analysis as well as the scatter plot of the mean and standard deviation analysis. The most critical factors affecting the inventory and procurement handling are related to the operation and management aspects. The top five impactful factors are communication between labor and management, information sharing, software usage on material tracking, purchasing plan, and construction progress. The research outcomes can be used to develop further mitigation plans in the early stages of infrastructure projects.","PeriodicalId":15524,"journal":{"name":"Journal of Civil Engineering and Management","volume":" ","pages":""},"PeriodicalIF":4.3,"publicationDate":"2022-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46981683","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}
Previous studies demonstrate that rework can lead to more safety incidents. However, there is an inadequate understanding of how construction rework reduction measures may significantly decrease the likelihood of safety incidents in developing countries. To explore how construction organisations can integrate rework minimisation and safety management in practice, this study examines the effectiveness of the management strategies that can reduce rework and improve safety. Based on a two-stage detailed literature review of both rework- and safety-related studies, 13 managerial measures are recognised that are capable of jointly reducing rework and safety incidents for construction projects. A field survey involving construction professionals in Malaysia was used to analyse and rank these measures according to effectiveness indices for rework, safety and joint rework-safety management. Factor analysis yielded a two-factor solution comprising (1) project management best practices and (2) proactive competency management. It is suggested that the construction industry would benefit from simultaneously ameliorating the quality and safety performance of projects by adopting effective joint measures that are predominantly guided by process (best practices) and people (competency management) components.
{"title":"MANAGERIAL MEASURES TO REDUCE REWORK AND IMPROVE CONSTRUCTION SAFETY IN A DEVELOPING COUNTRY: MALAYSIAN CASE","authors":"J. B. Yap, M. Skitmore, Jia Rou Chong, C. Hon","doi":"10.3846/jcem.2022.17570","DOIUrl":"https://doi.org/10.3846/jcem.2022.17570","url":null,"abstract":"Previous studies demonstrate that rework can lead to more safety incidents. However, there is an inadequate understanding of how construction rework reduction measures may significantly decrease the likelihood of safety incidents in developing countries. To explore how construction organisations can integrate rework minimisation and safety management in practice, this study examines the effectiveness of the management strategies that can reduce rework and improve safety. Based on a two-stage detailed literature review of both rework- and safety-related studies, 13 managerial measures are recognised that are capable of jointly reducing rework and safety incidents for construction projects. A field survey involving construction professionals in Malaysia was used to analyse and rank these measures according to effectiveness indices for rework, safety and joint rework-safety management. Factor analysis yielded a two-factor solution comprising (1) project management best practices and (2) proactive competency management. It is suggested that the construction industry would benefit from simultaneously ameliorating the quality and safety performance of projects by adopting effective joint measures that are predominantly guided by process (best practices) and people (competency management) components.","PeriodicalId":15524,"journal":{"name":"Journal of Civil Engineering and Management","volume":" ","pages":""},"PeriodicalIF":4.3,"publicationDate":"2022-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48974887","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}
Kaleem Ullah, E. Witt, I. Lill, Nerija Banaitienė, Mindaugas Statulevičius
With the recent technological advancement in the Architecture, Engineering, and Construction (AEC) industry, building control authorities in a number of countries are trying to integrate BIM into their building permit processes. Nevertheless, considering the involvement of multiple stakeholders and contexts, adopting BIM in any organization is challenging. The aim of this research is to assess readiness for BIM-based building permit processes using Fuzzy-COPRAS, a multiple criteria decision making (MCDM) method. In this research, three municipalities were selected as alternatives and twenty-five criteria (categorized into technology, people, process, and policies) related to BIM-based building permit processes were identified from a literature review. Then, as part of the COPRAS method, the weights of the criteria were determined based on their importance level through expert evaluation. The results of the study revealed the most important criteria for BIM-based building permit processes, i.e., supporting open standards, compatibility with existing building regulations and codes, willingness of employees, support from top management, and comprehensiveness of code compliance checks. Finally, the readiness assessment results demonstrated the most prepared alternative in the selected municipalities for the BIM-based building permit process based on the status of the considered criteria. The findings of this research have practical implications for municipalities considering and/or developing their BIM-based building permit processes in terms of where to focus their efforts with respect to the criteria associated with BIM-based building permits.
{"title":"READINESS ASSESSMENT FOR BIM-BASED BUILDING PERMIT PROCESSES USING FUZZY-COPRAS","authors":"Kaleem Ullah, E. Witt, I. Lill, Nerija Banaitienė, Mindaugas Statulevičius","doi":"10.3846/jcem.2022.17274","DOIUrl":"https://doi.org/10.3846/jcem.2022.17274","url":null,"abstract":"With the recent technological advancement in the Architecture, Engineering, and Construction (AEC) industry, building control authorities in a number of countries are trying to integrate BIM into their building permit processes. Nevertheless, considering the involvement of multiple stakeholders and contexts, adopting BIM in any organization is challenging. The aim of this research is to assess readiness for BIM-based building permit processes using Fuzzy-COPRAS, a multiple criteria decision making (MCDM) method. In this research, three municipalities were selected as alternatives and twenty-five criteria (categorized into technology, people, process, and policies) related to BIM-based building permit processes were identified from a literature review. Then, as part of the COPRAS method, the weights of the criteria were determined based on their importance level through expert evaluation. The results of the study revealed the most important criteria for BIM-based building permit processes, i.e., supporting open standards, compatibility with existing building regulations and codes, willingness of employees, support from top management, and comprehensiveness of code compliance checks. Finally, the readiness assessment results demonstrated the most prepared alternative in the selected municipalities for the BIM-based building permit process based on the status of the considered criteria. The findings of this research have practical implications for municipalities considering and/or developing their BIM-based building permit processes in terms of where to focus their efforts with respect to the criteria associated with BIM-based building permits.","PeriodicalId":15524,"journal":{"name":"Journal of Civil Engineering and Management","volume":" ","pages":""},"PeriodicalIF":4.3,"publicationDate":"2022-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48488624","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}
Arian Haddadian, U. J. Alengaram, A. M. Alnahhal, Farhang Salari, K. Srinivas M, K. Mo, S. Yusoff, M. S. I. Ibrahim
In recent years, research work on the use of coal bottom ash (CBA) as a partial alternative for aggregate in concrete is on the rise. This research is aimed at examining the characteristics of lightweight foamed concrete with CBA as fine aggregate to produce environmentally sustainable product. With the volume replacement technique, CBA was used as 25%, 50%, 75%, and 100% replacement for conventional mining sand with different sieve sizes of smaller than 4.75, 2.36, and 0.6 mm in concrete. Water absorption, porosity as well as mechanical characteristics tests, including compressive strength, splitting tensile strength, and modulus of elasticity (MOE) were conducted and analyzed. X-ray diffraction and scanning electron microscopy microstructural investigations were also performed to correlate test results. The quality of concrete was investigated using a non-destructive ultrasonic pulse velocity test. According to the findings, the highest replacement level of CBA with a sieve size smaller than 0.6 mm had an impact in reducing workability. The effect of CBA particles on water absorption, MOE, compressive strength, and tensile strength depends on the size of the fine aggregate, the replacement ratio and the density. In general, substituting mining sand with CBA aggregate improved the mechanical performance of concrete, notably for the aggregate size of less than 0.6 mm. Moreover, the SEM images indicate that the addition of CBA particles decreased the size and quantity of voids in the foamed concrete.
{"title":"VALORIZATION OF DIVERSE SIZES OF COAL BOTTOM ASH AS FINE AGGREGATE IN THE PERFORMANCE OF LIGHTWEIGHT FOAMED CONCRETE","authors":"Arian Haddadian, U. J. Alengaram, A. M. Alnahhal, Farhang Salari, K. Srinivas M, K. Mo, S. Yusoff, M. S. I. Ibrahim","doi":"10.3846/jcem.2022.16995","DOIUrl":"https://doi.org/10.3846/jcem.2022.16995","url":null,"abstract":"In recent years, research work on the use of coal bottom ash (CBA) as a partial alternative for aggregate in concrete is on the rise. This research is aimed at examining the characteristics of lightweight foamed concrete with CBA as fine aggregate to produce environmentally sustainable product. With the volume replacement technique, CBA was used as 25%, 50%, 75%, and 100% replacement for conventional mining sand with different sieve sizes of smaller than 4.75, 2.36, and 0.6 mm in concrete. Water absorption, porosity as well as mechanical characteristics tests, including compressive strength, splitting tensile strength, and modulus of elasticity (MOE) were conducted and analyzed. X-ray diffraction and scanning electron microscopy microstructural investigations were also performed to correlate test results. The quality of concrete was investigated using a non-destructive ultrasonic pulse velocity test. According to the findings, the highest replacement level of CBA with a sieve size smaller than 0.6 mm had an impact in reducing workability. The effect of CBA particles on water absorption, MOE, compressive strength, and tensile strength depends on the size of the fine aggregate, the replacement ratio and the density. In general, substituting mining sand with CBA aggregate improved the mechanical performance of concrete, notably for the aggregate size of less than 0.6 mm. Moreover, the SEM images indicate that the addition of CBA particles decreased the size and quantity of voids in the foamed concrete.","PeriodicalId":15524,"journal":{"name":"Journal of Civil Engineering and Management","volume":" ","pages":""},"PeriodicalIF":4.3,"publicationDate":"2022-09-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42523559","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}
It is difficult to identify economically feasible alternatives to reduce the duration of construction, as many important factors are present in any given construction project, such as increased construction costs and incentives and decreased delay liquidated damages. Most importantly, thousands of activities are interconnected in a complicated manner. This study proposes a method for analyzing the priority of activities for the reallocation of resources in order to reduce construction delay duration. The proposed method is composed of two steps: the prioritization of activities that can reduce construction duration and a reallocation of resources based upon that prioritization. First, in order to analyze priority, combinations of the lowest-cost activities for reducing per day are derived. Then, the importance of influence factors is analyzed, using the fuzzy analytic hierarchy process and fuzzy inference, and priority is derived based on the importance level. Next, the resources are reallocated based on the objective functions of maximizing the importance of the selected activities, reducing the duration, and minimizing the reducing cost. Decision-makers can compare between the reduction duration and available cost, and compare between results of the proposed method and the existing cost-slope method. Then, decision-makers can use the proposed method differently based on their own preferences toward economic and qualitative importance.
{"title":"SELECTING HIGH PRIORITY ACTIVITIES FOR THE REALLOCATION OF RESOURCES TO REDUCE CONSTRUCTION DURATION","authors":"Chijoo Lee","doi":"10.3846/jcem.2022.17204","DOIUrl":"https://doi.org/10.3846/jcem.2022.17204","url":null,"abstract":"It is difficult to identify economically feasible alternatives to reduce the duration of construction, as many important factors are present in any given construction project, such as increased construction costs and incentives and decreased delay liquidated damages. Most importantly, thousands of activities are interconnected in a complicated manner. This study proposes a method for analyzing the priority of activities for the reallocation of resources in order to reduce construction delay duration. The proposed method is composed of two steps: the prioritization of activities that can reduce construction duration and a reallocation of resources based upon that prioritization. First, in order to analyze priority, combinations of the lowest-cost activities for reducing per day are derived. Then, the importance of influence factors is analyzed, using the fuzzy analytic hierarchy process and fuzzy inference, and priority is derived based on the importance level. Next, the resources are reallocated based on the objective functions of maximizing the importance of the selected activities, reducing the duration, and minimizing the reducing cost. Decision-makers can compare between the reduction duration and available cost, and compare between results of the proposed method and the existing cost-slope method. Then, decision-makers can use the proposed method differently based on their own preferences toward economic and qualitative importance.","PeriodicalId":15524,"journal":{"name":"Journal of Civil Engineering and Management","volume":" ","pages":""},"PeriodicalIF":4.3,"publicationDate":"2022-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42068835","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}
Change orders are a major challenge in the construction industry due to the associated time and cost impacts. Thus, managing change effectively assists in alleviating cost overruns and delays. Avoiding change orders and controlling them during project phases requires comprehensive research on the factors affecting the change orders management (COM) performance. This study contributes to existing knowledge by introducing a COM performance measurement framework to help construction professionals evaluate, track, and manage COM performance. A comprehensive literature review, personal meetings, and the Delphi technique are utilized to identify 49 performance factors, categorized into 7 COM groups. 13 Delphi panel members are selected according to purposive sampling technique. The collected data are examined through normality and reliability tests and then analyzed by Spearman’s correlation coefficient, score percentage, and the mean to standard deviation ratio to decide whether to continue with the Delphi method. Consensus between the panelists is reached after the second round of Delphi by the utilization of nonparametric statistical tests. The Delphi study results are followed up by measuring the inter-rater agreement (IRA) and ranking the COM performance factors using the sum rank weighting method. Finally, an operational support system framework that takes into consideration the project life cycle of a project is developed to manage and control these factors to decrease disputes between project parties that occur due to improper COM performance.
{"title":"CONSTRUCTION CHANGE ORDER MANAGEMENT PROJECT SUPPORT SYSTEM UTILIZING DELPHI METHOD","authors":"K. Naji, Murat Gunduz, Ayman Naser","doi":"10.3846/jcem.2022.17203","DOIUrl":"https://doi.org/10.3846/jcem.2022.17203","url":null,"abstract":"Change orders are a major challenge in the construction industry due to the associated time and cost impacts. Thus, managing change effectively assists in alleviating cost overruns and delays. Avoiding change orders and controlling them during project phases requires comprehensive research on the factors affecting the change orders management (COM) performance. This study contributes to existing knowledge by introducing a COM performance measurement framework to help construction professionals evaluate, track, and manage COM performance. A comprehensive literature review, personal meetings, and the Delphi technique are utilized to identify 49 performance factors, categorized into 7 COM groups. 13 Delphi panel members are selected according to purposive sampling technique. The collected data are examined through normality and reliability tests and then analyzed by Spearman’s correlation coefficient, score percentage, and the mean to standard deviation ratio to decide whether to continue with the Delphi method. Consensus between the panelists is reached after the second round of Delphi by the utilization of nonparametric statistical tests. The Delphi study results are followed up by measuring the inter-rater agreement (IRA) and ranking the COM performance factors using the sum rank weighting method. Finally, an operational support system framework that takes into consideration the project life cycle of a project is developed to manage and control these factors to decrease disputes between project parties that occur due to improper COM performance.","PeriodicalId":15524,"journal":{"name":"Journal of Civil Engineering and Management","volume":" ","pages":""},"PeriodicalIF":4.3,"publicationDate":"2022-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48512261","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}
With the increasing popularity of modular buildings, many manufacturers have made BIM objects for use by designers. However, these BIM objects must satisfy specific regulations and requirements, and their quality needs to be verified. In this study, the authors propose an automated checking system for modular BIM object quality verification. The system includes three parts, which are modular BIM object guideline, pre-checking module and automated code checking module. The modular BIM object quality verification system is proposed to be applied to government modular product certification site for checking the modular BIM objects. It is expected that the use of this automated checking system will make it possible to connect users and manufacturers to promote the circulation of modular building products, as well as provide designers with standardized modular BIM objects for design purposes.
{"title":"AUTOMATED CHECKING SYSTEM FOR MODULAR BIM OBJECTS","authors":"H. Sun, Inhan Kim","doi":"10.3846/jcem.2022.17230","DOIUrl":"https://doi.org/10.3846/jcem.2022.17230","url":null,"abstract":"With the increasing popularity of modular buildings, many manufacturers have made BIM objects for use by designers. However, these BIM objects must satisfy specific regulations and requirements, and their quality needs to be verified. In this study, the authors propose an automated checking system for modular BIM object quality verification. The system includes three parts, which are modular BIM object guideline, pre-checking module and automated code checking module. The modular BIM object quality verification system is proposed to be applied to government modular product certification site for checking the modular BIM objects. It is expected that the use of this automated checking system will make it possible to connect users and manufacturers to promote the circulation of modular building products, as well as provide designers with standardized modular BIM objects for design purposes.","PeriodicalId":15524,"journal":{"name":"Journal of Civil Engineering and Management","volume":" ","pages":""},"PeriodicalIF":4.3,"publicationDate":"2022-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47192256","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}
Ieva Cataldo, A. Banaitis, Ashutosh Samadhiya, Nerija Banaitienė, Anil Kumar K, S. Luthra
Although the importance of supply chain management in the construction sector has been recognized in recent years, its implementation still faces significant challenges. For the long-term evaluation of this creative sector, numerous intricate sustainability components, such as environmental, social, and financial, are necessary. The study focuses on longterm sustainability considerations in the supply chain in the construction sector. This work aims to address this information and examine sustainable supply chain management (SSCM) research in the construction sector in this manner. More than 95 publications were studied from the beginning of 2017 to the end of 2021 using both in-depth content analysis and bibliometric methodologies. Several issues of SSCM in construction have been found including environmental, economic and social patterns which are most commonly known as the triple bottom line, typically enhanced by artificial intelligence. Many challenges were discovered including inefficiencies in the logistics system and a shortage of funding, environmental issues in demolition procedures and difficulties in applying sustainability measures due to high skill, data, and time requirements. The article offers a broad list of potentials for improving the current situation in the construction sector by using various types of supply chains such as increasing investment in energy conservation and emission reduction technologies to drive sustainable development, establishing strong green supply chain relationships, and forming a Covid-19 financial support group for small construction companies among other things. The study’s findings suggested that due to the significance of long-term relationships between construction companies, suppliers and customers, smart technology could make it simpler to reach every supply chain link. After an exhaustive literature review 59 research questions were formulated for the future research. In the future, the importance of these questions could be determined using expert questionnaires and multi-criteria evaluation.
{"title":"SUSTAINABLE SUPPLY CHAIN MANAGEMENT IN CONSTRUCTION: AN EXPLORATORY REVIEW FOR FUTURE RESEARCH","authors":"Ieva Cataldo, A. Banaitis, Ashutosh Samadhiya, Nerija Banaitienė, Anil Kumar K, S. Luthra","doi":"10.3846/jcem.2022.17202","DOIUrl":"https://doi.org/10.3846/jcem.2022.17202","url":null,"abstract":"Although the importance of supply chain management in the construction sector has been recognized in recent years, its implementation still faces significant challenges. For the long-term evaluation of this creative sector, numerous intricate sustainability components, such as environmental, social, and financial, are necessary. The study focuses on longterm sustainability considerations in the supply chain in the construction sector. This work aims to address this information and examine sustainable supply chain management (SSCM) research in the construction sector in this manner. More than 95 publications were studied from the beginning of 2017 to the end of 2021 using both in-depth content analysis and bibliometric methodologies. Several issues of SSCM in construction have been found including environmental, economic and social patterns which are most commonly known as the triple bottom line, typically enhanced by artificial intelligence. Many challenges were discovered including inefficiencies in the logistics system and a shortage of funding, environmental issues in demolition procedures and difficulties in applying sustainability measures due to high skill, data, and time requirements. The article offers a broad list of potentials for improving the current situation in the construction sector by using various types of supply chains such as increasing investment in energy conservation and emission reduction technologies to drive sustainable development, establishing strong green supply chain relationships, and forming a Covid-19 financial support group for small construction companies among other things. The study’s findings suggested that due to the significance of long-term relationships between construction companies, suppliers and customers, smart technology could make it simpler to reach every supply chain link. After an exhaustive literature review 59 research questions were formulated for the future research. In the future, the importance of these questions could be determined using expert questionnaires and multi-criteria evaluation.","PeriodicalId":15524,"journal":{"name":"Journal of Civil Engineering and Management","volume":" ","pages":""},"PeriodicalIF":4.3,"publicationDate":"2022-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47940109","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}
Guorui Sun, J. Lai, Yuzhou Zheng, Kaikai Zheng, Jun Shi
This paper investigates the structural working behavior of reinforced concrete beams bonded with fiber reinforced polymer and engineered cementitious composite materials subjected to bending using structural stressing state theory. First, six reinforced concrete beams externally bonded with composite reinforcement layer and one control beam are tested to investigate the effects of the bond length, fiber reinforced polymer grid thickness and fiber content on the flexural behavior. Then, the finite strain data of RC beams are interpolated by the numerical shape function method. The generalized strain energy density model is established to characterize the stressing state of the structure. Through the MannKendall criterion, the characteristics load P and Q of the beams are detected, and the whole loading process is divided into three stage. Finally, the analysis of the strain and deformation on the beams reveals the effect of different parameters on different stage. The characteristic load P increases as the bond length increases, and the characteristic load Q increases as the thickness of the FRP and the fiber content increase. The vertical deformation of the strengthened beam for the characteristic load Q and ultimate load is significantly smaller than that of the unreinforced beam.
{"title":"INVESTIGATION OF THE PERFORMANCE OF RC BEAMS REINFORCED WITH FRP AND ECC MATERIALS","authors":"Guorui Sun, J. Lai, Yuzhou Zheng, Kaikai Zheng, Jun Shi","doi":"10.3846/jcem.2022.16683","DOIUrl":"https://doi.org/10.3846/jcem.2022.16683","url":null,"abstract":"This paper investigates the structural working behavior of reinforced concrete beams bonded with fiber reinforced polymer and engineered cementitious composite materials subjected to bending using structural stressing state theory. First, six reinforced concrete beams externally bonded with composite reinforcement layer and one control beam are tested to investigate the effects of the bond length, fiber reinforced polymer grid thickness and fiber content on the flexural behavior. Then, the finite strain data of RC beams are interpolated by the numerical shape function method. The generalized strain energy density model is established to characterize the stressing state of the structure. Through the MannKendall criterion, the characteristics load P and Q of the beams are detected, and the whole loading process is divided into three stage. Finally, the analysis of the strain and deformation on the beams reveals the effect of different parameters on different stage. The characteristic load P increases as the bond length increases, and the characteristic load Q increases as the thickness of the FRP and the fiber content increase. The vertical deformation of the strengthened beam for the characteristic load Q and ultimate load is significantly smaller than that of the unreinforced beam.","PeriodicalId":15524,"journal":{"name":"Journal of Civil Engineering and Management","volume":" ","pages":""},"PeriodicalIF":4.3,"publicationDate":"2022-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42677695","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}
S. Mahmoud, M. Saleem, Amal Hasanain, H. El-Sokkary, M. Elsharawy, Magdy Genidy, Ayman Abd-Elhamed
Seismic design codes predominantly assume that earthquakes involve a single ground shaking event; however, earthquakes can occur as a series of shocks. Consequently, the capacity of structures to resist earthquakes with multiple peaks without suffering severe damage is a crucial parameter. This research study evaluates the seismic performance of a high-rise building in Dubai using existing records of single and multiple peaks. Three-dimensional building model was developed considering the actual cross-sections of the horizontal and vertical elements fitting the seismic zone through dynamic response spectrum analysis. The building is analyzed using the nonlinear regime employing fast-nonlinear timehistory analysis with the scaled NS and EW records of the Niigata earthquake. The main finding of this work is that records with multiple peaks significantly increase structural response and magnify the structural damage compared with records of single-peak earthquakes; thus, earthquakes involving multiple shocks significantly increase the risk of structural failure in a building.
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