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Gerassis, S, Martín, J E, García, J T, Saavedra, A and Taboada, J (2017) Bayesian Decision Tool for the Analysis of Occupational Accidents in the Construction of Embankments. Journal of Construction Engineering and Management, 143(02).
Guo, B H W, Yiu, T W, González, V A and Goh, Y M (2017) Using a Pressure-State-Practice Model to Develop Safety Leading Indicators for Construction Projects. Journal of Construction Engineering and Management, 143(02).
Hanna, A S, Mikhail, G and Iskandar, K A (2017) State of Prefab Practice in the Electrical Construction Industry: Qualitative Assessment. Journal of Construction Engineering and Management, 143(02).
Kadry, M, Osman, H and Georgy, M (2017) Causes of Construction Delays in Countries with High Geopolitical Risks. Journal of Construction Engineering and Management, 143(02).
Kim, H, Ahn, C R and Yang, K (2017) Identifying Safety Hazards Using Collective Bodily Responses of Workers. Journal of Construction Engineering and Management, 143(02).
Love, P E D, Veli, S, Davis, P, Teo, P and Morrison, J (2017) {[}See the Difference{]} in a Precast Facility: Changing Mindsets with an Experiential Safety Program. Journal of Construction Engineering and Management, 143(02).
Ng, A W Y and Chan, A H S (2017) Mental Models of Construction Workers for Safety-Sign Representation. Journal of Construction Engineering and Management, 143(02).
Olaniran, O J, Love, P E D, Edwards, D J, Olatunji, O and Matthews, J (2017) Chaos Theory: Implications for Cost Overrun Research in Hydrocarbon Megaprojects. Journal of Construction Engineering and Management, 143(02).
Park, J, Kim, K and Cho, Y K (2017) Framework of Automated Construction-Safety Monitoring Using Cloud-Enabled BIM and BLE Mobile Tracking Sensors. Journal of Construction Engineering and Management, 143(02).
Park, Y, Gwak, H and Lee, D (2017) Dozer Workability Estimation Method for Economic Dozing. Journal of Construction Engineering and Management, 143(02).
Wang, C, Mohd-Rahim, F A, Chan, Y Y and Abdul-Rahman, H (2017) Fuzzy Mapping on Psychological Disorders in Construction Management. Journal of Construction Engineering and Management, 143(02).
Zhong, Y, Ling, F Y Y and Wu, P (2017) Using Multiple Attribute Value Technique for the Selection of Structural Frame Material to Achieve Sustainability and Constructability. Journal of Construction Engineering and Management, 143(02).
- Type: Journal Article
- Keywords: Structural material; Economic sustainability; Constructability; Multiple attribute value technique; Structural steel; Reinforced concrete; Sustainable construction;
- ISBN/ISSN: 0733-9364
- URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0001210
- Abstract:
Selecting appropriate structural materials to meet economic sustainability, environmental sustainability, and constructability performance can be a challenge as these parameters are not mutually exclusive. This study therefore aims to build a model for the selection of structural frame material that integrates economic sustainability, environmental sustainability, and constructability considerations. The research method is through a detailed investigation of 39 construction projects. Data were collected from archival records and interviews with 148 project participants. From the data, importance weights and performance levels of two structural materials—reinforced concrete (RC) and structural steel (SS)—are determined. It is found that SS-framed buildings outperform RC-framed buildings in the aspects of environmental sustainability and constructability, while RC-framed buildings have better economic performance. Furthermore, environmental sustainability and constructability performance are perceived to be of significantly lower importance than economic sustainability. Using the multiattribute value technique, a model to assist in the selection of structural material was constructed and tested. The major contribution of this paper is the development of a mathematical model that calculates the structural frame material (SFM) score based on an integrated consideration of economic sustainability, environmental sustainability, and constructability. The model is recommended to clients and designers to assist in the selection of structural frame materials in the concept and preliminary design stage.