Elham Mahamedi, M. Wonders, Nima Gerami Seresht, W. L. Woo, M. Kassem
Purpose The purpose of this paper is to propose a novel data-driven approach for predicting energy performance of buildings that can address the scarcity of quality data, and consider the dynamic nature of building systems. Design/methodology/approach This paper proposes a reinforcing machine learning (ML) approach based on transfer learning (TL) to address these challenges. The proposed approach dynamically incorporates the data captured by the building management systems into the model to improve its accuracy. Findings It was shown that the proposed approach could improve the accuracy of the energy performance prediction compared to the conventional TL (non-reinforcing) approach by 19 percentage points in mean absolute percentage error. Research limitations/implications The case study results confirm the practicality of the proposed approach and show that it outperforms the standard ML approach (with no transferred knowledge) when little data is available. Originality/value This approach contributes to the body of knowledge by addressing the limited data availability in the building sector using TL; and accounting for the dynamics of buildings’ energy performance by the reinforcing architecture. The proposed approach is implemented in a case study project based in London, UK.
{"title":"A reinforcing transfer learning approach to predict buildings energy performance","authors":"Elham Mahamedi, M. Wonders, Nima Gerami Seresht, W. L. Woo, M. Kassem","doi":"10.1108/ci-12-2022-0333","DOIUrl":"https://doi.org/10.1108/ci-12-2022-0333","url":null,"abstract":"\u0000Purpose\u0000The purpose of this paper is to propose a novel data-driven approach for predicting energy performance of buildings that can address the scarcity of quality data, and consider the dynamic nature of building systems.\u0000\u0000\u0000Design/methodology/approach\u0000This paper proposes a reinforcing machine learning (ML) approach based on transfer learning (TL) to address these challenges. The proposed approach dynamically incorporates the data captured by the building management systems into the model to improve its accuracy.\u0000\u0000\u0000Findings\u0000It was shown that the proposed approach could improve the accuracy of the energy performance prediction compared to the conventional TL (non-reinforcing) approach by 19 percentage points in mean absolute percentage error.\u0000\u0000\u0000Research limitations/implications\u0000The case study results confirm the practicality of the proposed approach and show that it outperforms the standard ML approach (with no transferred knowledge) when little data is available.\u0000\u0000\u0000Originality/value\u0000This approach contributes to the body of knowledge by addressing the limited data availability in the building sector using TL; and accounting for the dynamics of buildings’ energy performance by the reinforcing architecture. The proposed approach is implemented in a case study project based in London, UK.\u0000","PeriodicalId":45580,"journal":{"name":"Construction Innovation-England","volume":null,"pages":null},"PeriodicalIF":3.3,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42813265","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 By adopting the “hard” and “soft” project management (PM) approaches from the PM-literature, this paper aims to problematize the expected role of client organizations in driving innovation in the transport infrastructure sector. Design/methodology/approach Addressing a large public client in Sweden, a case study design was initially applied to provide in-depth insights and perspectives of client project managers’ views and experiences of managing projects expected to drive innovation. In this paper, the concepts of “hard” and “soft” are used to discuss empirical findings on challenges associated with adopting a PM-approach for driving innovation in projects. The empirical material consists of interview data, complemented with observations and archival data. Findings Findings reveal challenges associated with combining hard and soft approaches, frequently demonstrating difficulties in balancing short-term project expectations with the promotion of innovation. In line with the literature, project managers note that there is a need for soft approaches to promote development and drive innovation. Yet, findings reflect a situation in which operational success criteria predominate, whereas soft approaches are not sufficiently used to create the grounds required for fostering innovation. Originality/value Insights are provided into how PM-approaches may impact construction innovation in the infrastructure sector, demonstrating a need for further research on the challenges and implications of applying and combining hard and soft PM-approaches.
{"title":"Clients as drivers of innovation in the infrastructure sector: implications of hard and soft project management approaches","authors":"J. Guerrero, S. Engström","doi":"10.1108/ci-01-2022-0001","DOIUrl":"https://doi.org/10.1108/ci-01-2022-0001","url":null,"abstract":"\u0000Purpose\u0000By adopting the “hard” and “soft” project management (PM) approaches from the PM-literature, this paper aims to problematize the expected role of client organizations in driving innovation in the transport infrastructure sector.\u0000\u0000\u0000Design/methodology/approach\u0000Addressing a large public client in Sweden, a case study design was initially applied to provide in-depth insights and perspectives of client project managers’ views and experiences of managing projects expected to drive innovation. In this paper, the concepts of “hard” and “soft” are used to discuss empirical findings on challenges associated with adopting a PM-approach for driving innovation in projects. The empirical material consists of interview data, complemented with observations and archival data.\u0000\u0000\u0000Findings\u0000Findings reveal challenges associated with combining hard and soft approaches, frequently demonstrating difficulties in balancing short-term project expectations with the promotion of innovation. In line with the literature, project managers note that there is a need for soft approaches to promote development and drive innovation. Yet, findings reflect a situation in which operational success criteria predominate, whereas soft approaches are not sufficiently used to create the grounds required for fostering innovation.\u0000\u0000\u0000Originality/value\u0000Insights are provided into how PM-approaches may impact construction innovation in the infrastructure sector, demonstrating a need for further research on the challenges and implications of applying and combining hard and soft PM-approaches.\u0000","PeriodicalId":45580,"journal":{"name":"Construction Innovation-England","volume":null,"pages":null},"PeriodicalIF":3.3,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48956519","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 Despite the growing attention on the relevance of improved building management systems with cognition in recent years in the architecture, engineering, construction and operation (AECO) community, no review has been conducted to understand the human-environment interaction features of cyber-physical systems (CPS) and digital twins (DTs) in developing the concept of a cognitive building (CB). Thus, this paper aims to review existing studies on CPS and DTs for CB to propose a comprehensive system architecture that considers human-environment interactions. Design/methodology/approach Scientometric analysis and content analysis were adopted for this study. Findings The scientometric analysis of 1,042 journal papers showed the major themes of CPS/DTs for CB, and these can be categorized into three key technologies to realize CB in the AECO community: CPS, DTs and cognitive computing (CC). Content analysis of 44 relevant publications in the built environment assisted in understanding and evidently confirming the claim of this study on the integration of CPS and DTs for CB in construction by also involving the CC. It is found and confirmed that CB can be realized with CPS and DTs along with the CC. A CB system architecture (CBSA) is proposed from the three key technologies considering the human-environment interactions in the loop. The study discovered the potential applications of the CBSA across the building lifecycle phases, including the design, construction and operations and maintenance, with the potential promise of endowing resilience, intelligence, greater efficiency and self-adaptiveness. Based on the findings of the review, four research directions are proposed: human-environment interactions, CB for sustainable building performance, CB concept for modular buildings and moving beyond CB. Originality/value This study stands out for comprehensively surveying the intellectual core and the landscape of the general body of knowledge on CPS/DTs for CB in the built environment. It makes a distinctive contribution to knowledge as it does not only propose CBSA by integrating CPS and DTs along with CC but also suggests some potential practical applications. These may require expert judgments and real case examples to enhance reproducibility and validation.
{"title":"Cyber-physical systems and digital twins for “cognitive building” in the construction industry","authors":"F. A. Ghansah, Weisheng Lu","doi":"10.1108/ci-07-2022-0164","DOIUrl":"https://doi.org/10.1108/ci-07-2022-0164","url":null,"abstract":"\u0000Purpose\u0000Despite the growing attention on the relevance of improved building management systems with cognition in recent years in the architecture, engineering, construction and operation (AECO) community, no review has been conducted to understand the human-environment interaction features of cyber-physical systems (CPS) and digital twins (DTs) in developing the concept of a cognitive building (CB). Thus, this paper aims to review existing studies on CPS and DTs for CB to propose a comprehensive system architecture that considers human-environment interactions.\u0000\u0000\u0000Design/methodology/approach\u0000Scientometric analysis and content analysis were adopted for this study.\u0000\u0000\u0000Findings\u0000The scientometric analysis of 1,042 journal papers showed the major themes of CPS/DTs for CB, and these can be categorized into three key technologies to realize CB in the AECO community: CPS, DTs and cognitive computing (CC). Content analysis of 44 relevant publications in the built environment assisted in understanding and evidently confirming the claim of this study on the integration of CPS and DTs for CB in construction by also involving the CC. It is found and confirmed that CB can be realized with CPS and DTs along with the CC. A CB system architecture (CBSA) is proposed from the three key technologies considering the human-environment interactions in the loop. The study discovered the potential applications of the CBSA across the building lifecycle phases, including the design, construction and operations and maintenance, with the potential promise of endowing resilience, intelligence, greater efficiency and self-adaptiveness. Based on the findings of the review, four research directions are proposed: human-environment interactions, CB for sustainable building performance, CB concept for modular buildings and moving beyond CB.\u0000\u0000\u0000Originality/value\u0000This study stands out for comprehensively surveying the intellectual core and the landscape of the general body of knowledge on CPS/DTs for CB in the built environment. It makes a distinctive contribution to knowledge as it does not only propose CBSA by integrating CPS and DTs along with CC but also suggests some potential practical applications. These may require expert judgments and real case examples to enhance reproducibility and validation.\u0000","PeriodicalId":45580,"journal":{"name":"Construction Innovation-England","volume":null,"pages":null},"PeriodicalIF":3.3,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49187414","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}
Ankitha Vijayakumar, M. Mahmood, A. Gurmu, Imriyas Kamardeen, S. Alam
Purpose Freeways in Australia play a significant role in connecting distant communities, shifting freight and strengthening the country’s economy. To meet the growing needs of present and future generations, delivering a socially sustainable road infrastructure that creates generational benefits is essential. However, the existing literature reveals the lack of comprehensive indicators to assess the social sustainability performance of freeway projects. Therefore, this paper aims to identify a critical set of system-specific indicators to evaluate the life cycle social footprint of Australian freeways. Design/methodology/approach This study conducted 31 interview questionnaire surveys with actively engaged stakeholders involved in various freeway projects around Australia. The data collected was analysed using fuzzy set theory and other statistical approaches. Findings The study identified 42 critical indicators for assessing the social sustainability performance throughout the life cycle of freeways in the Australian context. For example, stakeholder involvement, reduction of casualty rate due to road accidents, fair remuneration to project workforce and improved accessibility to required services. Practical implications The context-specific opinions extracted from the industry experts and the comprehensive set of critical indicators identified would ensure that all the vital aspects of social sustainability are considered throughout the life cycle of Australian freeways in the future, assisting the decision-makers in enhancing the project’s social sustainability performance. Originality/value The linguistic explanations associated with the ratings given by the industry experts provide greater insight into the context of the life cycle social sustainability assessment of Australian freeways exclusively.
{"title":"Critical indicators for assessing the life cycle social footprint of Australian freeways","authors":"Ankitha Vijayakumar, M. Mahmood, A. Gurmu, Imriyas Kamardeen, S. Alam","doi":"10.1108/ci-03-2023-0040","DOIUrl":"https://doi.org/10.1108/ci-03-2023-0040","url":null,"abstract":"\u0000Purpose\u0000Freeways in Australia play a significant role in connecting distant communities, shifting freight and strengthening the country’s economy. To meet the growing needs of present and future generations, delivering a socially sustainable road infrastructure that creates generational benefits is essential. However, the existing literature reveals the lack of comprehensive indicators to assess the social sustainability performance of freeway projects. Therefore, this paper aims to identify a critical set of system-specific indicators to evaluate the life cycle social footprint of Australian freeways.\u0000\u0000\u0000Design/methodology/approach\u0000This study conducted 31 interview questionnaire surveys with actively engaged stakeholders involved in various freeway projects around Australia. The data collected was analysed using fuzzy set theory and other statistical approaches.\u0000\u0000\u0000Findings\u0000The study identified 42 critical indicators for assessing the social sustainability performance throughout the life cycle of freeways in the Australian context. For example, stakeholder involvement, reduction of casualty rate due to road accidents, fair remuneration to project workforce and improved accessibility to required services.\u0000\u0000\u0000Practical implications\u0000The context-specific opinions extracted from the industry experts and the comprehensive set of critical indicators identified would ensure that all the vital aspects of social sustainability are considered throughout the life cycle of Australian freeways in the future, assisting the decision-makers in enhancing the project’s social sustainability performance.\u0000\u0000\u0000Originality/value\u0000The linguistic explanations associated with the ratings given by the industry experts provide greater insight into the context of the life cycle social sustainability assessment of Australian freeways exclusively.\u0000","PeriodicalId":45580,"journal":{"name":"Construction Innovation-England","volume":null,"pages":null},"PeriodicalIF":3.3,"publicationDate":"2023-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45713505","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}
Judith Amudjie, K. Agyekum, E. Adinyira, S. Amos-Abanyie, E. Botchway
Purpose This study aims to examine the strategies that can be adopted to enhance the practice of circular economy (CE) principles among built environment (BE) firms operating in the Ghanaian Construction Industry (GCI). Design/methodology/approach A structured questionnaire survey was used to solicit the views of 162 BE professionals working in construction, consulting, and developer firms on the issue under investigation. The questionnaire was developed through a review of related literature and complemented with a pilot review. Data were analysed by descriptive and inferential statistics. Findings The findings revealed four major categories of strategies (i.e. systems and technical related strategies, market orientation and operational strategies, knowledge dissemination and awareness-related strategies, and environmental and regulatory strategies) to promote the practice of the principles of CE among BE professionals in the GCI. Originality/value This study’s findings provide insights into an under-investigated topic in the construction industry, especially, in a developing country such as Ghana, and offer new and additional information and insights into the current state-of-the-art on CE implementation.
{"title":"Implementing the principles of circular economy in the construction industry: exploratory and confirmatory factor analyses of strategies","authors":"Judith Amudjie, K. Agyekum, E. Adinyira, S. Amos-Abanyie, E. Botchway","doi":"10.1108/ci-10-2022-0270","DOIUrl":"https://doi.org/10.1108/ci-10-2022-0270","url":null,"abstract":"\u0000Purpose\u0000This study aims to examine the strategies that can be adopted to enhance the practice of circular economy (CE) principles among built environment (BE) firms operating in the Ghanaian Construction Industry (GCI).\u0000\u0000\u0000Design/methodology/approach\u0000A structured questionnaire survey was used to solicit the views of 162 BE professionals working in construction, consulting, and developer firms on the issue under investigation. The questionnaire was developed through a review of related literature and complemented with a pilot review. Data were analysed by descriptive and inferential statistics.\u0000\u0000\u0000Findings\u0000The findings revealed four major categories of strategies (i.e. systems and technical related strategies, market orientation and operational strategies, knowledge dissemination and awareness-related strategies, and environmental and regulatory strategies) to promote the practice of the principles of CE among BE professionals in the GCI.\u0000\u0000\u0000Originality/value\u0000This study’s findings provide insights into an under-investigated topic in the construction industry, especially, in a developing country such as Ghana, and offer new and additional information and insights into the current state-of-the-art on CE implementation.\u0000","PeriodicalId":45580,"journal":{"name":"Construction Innovation-England","volume":null,"pages":null},"PeriodicalIF":3.3,"publicationDate":"2023-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41955247","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}
Hadi Mahamivanan, Navid Ghassemi, Mohammad Tayarani Darbandi, A. Shoeibi, Sadiq Hussain, F. Nasirzadeh, R. Alizadehsani, D. Nahavandi, A. Khosravi, Saeid Nahavandi
Purpose This paper aims to propose a new deep learning technique to detect the type of material to improve automated construction quality monitoring. Design/methodology/approach A new data augmentation approach that has improved the model robustness against different illumination conditions and overfitting is proposed. This study uses data augmentation at test time and adds outlier samples to training set to prevent over-fitted network training. For data augmentation at test time, five segments are extracted from each sample image and fed to the network. For these images, the network outputting average values is used as the final prediction. Then, the proposed approach is evaluated on multiple deep networks used as material classifiers. The fully connected layers are removed from the end of the networks, and only convolutional layers are retained. Findings The proposed method is evaluated on recognizing 11 types of building materials which include 1,231 images taken from several construction sites. Each image resolution is 4,000 × 3,000. The images are captured with different illumination and camera positions. Different illumination conditions lead to trained networks that are more robust against various environmental conditions. Using VGG16 model, an accuracy of 97.35% is achieved outperforming existing approaches. Practical implications It is believed that the proposed method presents a new and robust tool for detecting and classifying different material types. The automated detection of material will aid to monitor the quality and see whether the right type of material has been used in the project based on contract specifications. In addition, the proposed model can be used as a guideline for performing quality control (QC) in construction projects based on project quality plan. It can also be used as an input for automated progress monitoring because the material type detection will provide a critical input for object detection. Originality/value Several studies have been conducted to perform quality management, but there are some issues that need to be addressed. In most previous studies, a very limited number of material types were examined. In addition, although some studies have reported high accuracy to detect material types (Bunrit et al., 2020), their accuracy is dramatically reduced when they are used to detect materials with similar texture and color. In this research, the authors propose a new method to solve the mentioned shortcomings.
{"title":"Material recognition for construction quality monitoring using deep learning methods","authors":"Hadi Mahamivanan, Navid Ghassemi, Mohammad Tayarani Darbandi, A. Shoeibi, Sadiq Hussain, F. Nasirzadeh, R. Alizadehsani, D. Nahavandi, A. Khosravi, Saeid Nahavandi","doi":"10.1108/ci-04-2022-0074","DOIUrl":"https://doi.org/10.1108/ci-04-2022-0074","url":null,"abstract":"\u0000Purpose\u0000This paper aims to propose a new deep learning technique to detect the type of material to improve automated construction quality monitoring.\u0000\u0000\u0000Design/methodology/approach\u0000A new data augmentation approach that has improved the model robustness against different illumination conditions and overfitting is proposed. This study uses data augmentation at test time and adds outlier samples to training set to prevent over-fitted network training. For data augmentation at test time, five segments are extracted from each sample image and fed to the network. For these images, the network outputting average values is used as the final prediction. Then, the proposed approach is evaluated on multiple deep networks used as material classifiers. The fully connected layers are removed from the end of the networks, and only convolutional layers are retained.\u0000\u0000\u0000Findings\u0000The proposed method is evaluated on recognizing 11 types of building materials which include 1,231 images taken from several construction sites. Each image resolution is 4,000 × 3,000. The images are captured with different illumination and camera positions. Different illumination conditions lead to trained networks that are more robust against various environmental conditions. Using VGG16 model, an accuracy of 97.35% is achieved outperforming existing approaches.\u0000\u0000\u0000Practical implications\u0000It is believed that the proposed method presents a new and robust tool for detecting and classifying different material types. The automated detection of material will aid to monitor the quality and see whether the right type of material has been used in the project based on contract specifications. In addition, the proposed model can be used as a guideline for performing quality control (QC) in construction projects based on project quality plan. It can also be used as an input for automated progress monitoring because the material type detection will provide a critical input for object detection.\u0000\u0000\u0000Originality/value\u0000Several studies have been conducted to perform quality management, but there are some issues that need to be addressed. In most previous studies, a very limited number of material types were examined. In addition, although some studies have reported high accuracy to detect material types (Bunrit et al., 2020), their accuracy is dramatically reduced when they are used to detect materials with similar texture and color. In this research, the authors propose a new method to solve the mentioned shortcomings.\u0000","PeriodicalId":45580,"journal":{"name":"Construction Innovation-England","volume":null,"pages":null},"PeriodicalIF":3.3,"publicationDate":"2023-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47022181","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 : 2023-07-12DOI: 10.15282/construction.v3i1.9336
Zhang Li, M.N.A. Azman, R.P Jaya
In order to explore the effective method of strengthening recycled concrete coarse aggregate，improve the effective utilization rate of recycled concrete, respond to the development requirements of green buildings and green building materials. By reading a large number of existing research methods and documents, the advantages and disadvantages of various strengthening methods for recycled concrete coarse aggregate in recent years are analyzed and summarized. The main strengthening methods of reclaimed coarse aggregate are physical strengthening, chemical strengthening and gradation strengthening through comparative analysis, more effective strengthening methods are not single, but a combination of two or more methods. Effectively combine gradation strengthening and chemical strengthening, can better improve the mechanical properties of recycled concrete coarse aggregate and durability. There is little research on the failure mechanism of transition zone and strengthening the interface transition zone of recycled concrete, and there are few literatures about harmless treatment of chemically strengthened slurry. These two aspects can be explored and analyzed in the future research.
{"title":"Review of Research on Coarse Aggregate Reinforcement of Recycled Concrete","authors":"Zhang Li, M.N.A. Azman, R.P Jaya","doi":"10.15282/construction.v3i1.9336","DOIUrl":"https://doi.org/10.15282/construction.v3i1.9336","url":null,"abstract":"In order to explore the effective method of strengthening recycled concrete coarse aggregate，improve the effective utilization rate of recycled concrete, respond to the development requirements of green buildings and green building materials. By reading a large number of existing research methods and documents, the advantages and disadvantages of various strengthening methods for recycled concrete coarse aggregate in recent years are analyzed and summarized. The main strengthening methods of reclaimed coarse aggregate are physical strengthening, chemical strengthening and gradation strengthening through comparative analysis, more effective strengthening methods are not single, but a combination of two or more methods. Effectively combine gradation strengthening and chemical strengthening, can better improve the mechanical properties of recycled concrete coarse aggregate and durability. There is little research on the failure mechanism of transition zone and strengthening the interface transition zone of recycled concrete, and there are few literatures about harmless treatment of chemically strengthened slurry. These two aspects can be explored and analyzed in the future research.","PeriodicalId":45580,"journal":{"name":"Construction Innovation-England","volume":null,"pages":null},"PeriodicalIF":3.3,"publicationDate":"2023-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91221210","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 : 2023-07-12DOI: 10.15282/construction.v3i1.9215
Ts. Dr. Khairil Azman Masri, A.O.A. Baqadeem
The use of fiber in asphalt mixture is gaining popularity as it can improve the mechanical properties of the asphalt pavement and enhance its durability and longevity. The main objective of this review is to discuss the recent research on the use of fiber in asphalt mixture and to provide an overview of its effects on the mechanical properties of asphalt. The article presents a review of the literature on the use of different types of fibers in asphalt mixture, including natural fibers, synthetic fibers, and glass fibers. The mechanical properties evaluated include stiffness, fatigue resistance, crack resistance, and rutting resistance. The review highlights the potential benefits of using fiber in asphalt mixture, including improved stiffness and crack resistance, reduced rutting, and increased fatigue resistance. However, the effectiveness of fiber in improving the mechanical properties of asphalt is influenced by various factors, such as fiber type, content, and distribution.
{"title":"Fibers in Asphalt Mixture: A State-of-The-Art Review","authors":"Ts. Dr. Khairil Azman Masri, A.O.A. Baqadeem","doi":"10.15282/construction.v3i1.9215","DOIUrl":"https://doi.org/10.15282/construction.v3i1.9215","url":null,"abstract":"The use of fiber in asphalt mixture is gaining popularity as it can improve the mechanical properties of the asphalt pavement and enhance its durability and longevity. The main objective of this review is to discuss the recent research on the use of fiber in asphalt mixture and to provide an overview of its effects on the mechanical properties of asphalt. The article presents a review of the literature on the use of different types of fibers in asphalt mixture, including natural fibers, synthetic fibers, and glass fibers. The mechanical properties evaluated include stiffness, fatigue resistance, crack resistance, and rutting resistance. The review highlights the potential benefits of using fiber in asphalt mixture, including improved stiffness and crack resistance, reduced rutting, and increased fatigue resistance. However, the effectiveness of fiber in improving the mechanical properties of asphalt is influenced by various factors, such as fiber type, content, and distribution.","PeriodicalId":45580,"journal":{"name":"Construction Innovation-England","volume":null,"pages":null},"PeriodicalIF":3.3,"publicationDate":"2023-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85540711","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 : 2023-07-12DOI: 10.15282/construction.v3i1.9356
Xue Chen, Mohamed Nor Azhari Azman
The purpose of this paper is to investigate the safety issues of industrialised buildings in China, with a particular focus on the differences between conventional and industrialised projects. To achieve this, interviews were conducted with 20 people from different professional backgrounds. The results of the study indicate that safety concerns in industrialised construction in China can be grouped into four main factors: shortage of skilled workers, challenges in lifting operations, lack of managerial responsibility, climatic factors and unexpected accidents. The results of this study could guide policy makers, including government officials and contractors in industry, in developing a new safety prevention approach. These findings will also inform the future management of safety in industrialised construction in China.
{"title":"A Qualitative Study of Safety Issues in Industrialised Buildings in China","authors":"Xue Chen, Mohamed Nor Azhari Azman","doi":"10.15282/construction.v3i1.9356","DOIUrl":"https://doi.org/10.15282/construction.v3i1.9356","url":null,"abstract":"The purpose of this paper is to investigate the safety issues of industrialised buildings in China, with a particular focus on the differences between conventional and industrialised projects. To achieve this, interviews were conducted with 20 people from different professional backgrounds. The results of the study indicate that safety concerns in industrialised construction in China can be grouped into four main factors: shortage of skilled workers, challenges in lifting operations, lack of managerial responsibility, climatic factors and unexpected accidents. The results of this study could guide policy makers, including government officials and contractors in industry, in developing a new safety prevention approach. These findings will also inform the future management of safety in industrialised construction in China.","PeriodicalId":45580,"journal":{"name":"Construction Innovation-England","volume":null,"pages":null},"PeriodicalIF":3.3,"publicationDate":"2023-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74508324","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 : 2023-07-12DOI: 10.15282/construction.v3i1.9462
Ts. Sr Dr Siti Nur Aishah Mohd Noor, Muhammad Shazwan Holelkusairi, Dr Lilawati Ab Wahab Ab Wahab, Dr. Izatul Farrita Mohd Kamar, Ts. Sr Mohd Khairul Amri Ramly
Construction waste management is not a new topic in the construction industry. It involves the management of waste material arising from construction, renovation, and demolition activities as such concrete, timber, steel, and plastics products. The poor construction waste management practice has led to failure to ensure sustainability in construction by increasing environmental impacts and illegal dumping. Hence, with proper construction waste management techniques and processes, the notion of sustainable construction can easily be achieved. The aim of this study is to identify the initiatives for construction waste management toward sustainable construction. The study adopted a quantitative method of questionnaires survey distributed to 118 numbers of Grade 7 Contractors in Pahang. The professional teams in the company provide their responses in regard to waste management initiatives taken by them. The findings revealed several initiatives taken by contractors in helping to move towards sustainable construction in Pahang as such strengthening the policies in government agencies regarding waste management and compliance with the law to the general legislative structure. This study contributes to increasing the effectiveness of managing construction waste, particularly for contractor companies who are major involved during the construction process.
{"title":"Identifying the Initiatives of Construction Waste Management in Malaysia towards achieving Sustainable Construction","authors":"Ts. Sr Dr Siti Nur Aishah Mohd Noor, Muhammad Shazwan Holelkusairi, Dr Lilawati Ab Wahab Ab Wahab, Dr. Izatul Farrita Mohd Kamar, Ts. Sr Mohd Khairul Amri Ramly","doi":"10.15282/construction.v3i1.9462","DOIUrl":"https://doi.org/10.15282/construction.v3i1.9462","url":null,"abstract":"Construction waste management is not a new topic in the construction industry. It involves the management of waste material arising from construction, renovation, and demolition activities as such concrete, timber, steel, and plastics products. The poor construction waste management practice has led to failure to ensure sustainability in construction by increasing environmental impacts and illegal dumping. Hence, with proper construction waste management techniques and processes, the notion of sustainable construction can easily be achieved. The aim of this study is to identify the initiatives for construction waste management toward sustainable construction. The study adopted a quantitative method of questionnaires survey distributed to 118 numbers of Grade 7 Contractors in Pahang. The professional teams in the company provide their responses in regard to waste management initiatives taken by them. The findings revealed several initiatives taken by contractors in helping to move towards sustainable construction in Pahang as such strengthening the policies in government agencies regarding waste management and compliance with the law to the general legislative structure. This study contributes to increasing the effectiveness of managing construction waste, particularly for contractor companies who are major involved during the construction process.","PeriodicalId":45580,"journal":{"name":"Construction Innovation-England","volume":null,"pages":null},"PeriodicalIF":3.3,"publicationDate":"2023-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86118797","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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