Abstract
Efficient precast concrete building end-of-life (EOL) management is crucial to sustainable construction. The decisions made during the EOL phase have significant implications for resource utilization, environmental sustainability, and the circular economy. This study presents a comprehensive multicriteria analysis (MCA) framework that aims to assist stakeholders in making informed decisions regarding precast concrete building EOL options. The framework considers various criteria that span economic, environmental, and social dimensions, including cost-effectiveness, environmental impact, resource recovery potential, regulatory compliance, and societal acceptance. It provides a structured approach for evaluating different EOL options, such as demolition, deconstruction, and adaptive reuse. One key aspect highlighted in this research is the role of digital technologies, such as Building Information Modelling (BIM) and image-based 3D modelling, in enhancing decision-making during the EOL phase. These technologies enable a deeper understanding of building components and their potential for repurposing or recycling. To develop this framework, a comprehensive literature review was conducted, and practical case studies were analysed. The research elucidates the complexities and trade-offs associated with precast concrete building EOL decisions. It sheds light on the interplay between diverse criteria and the evolving construction industry landscape, providing a holistic perspective for sustainable EOL strategies. The outcomes of this research contribute to informed decision-making processes that align with sustainability goals and promote responsible resource management in the construction industry. The MCA framework serves as a valuable tool for stakeholders, including architects, engineers, contractors, and policymakers, who are seeking to make judicious choices in the EOL phase of precast concrete buildings.
Details
Presentation Type
Paper Presentation in a Themed Session
Theme
KEYWORDS
Precast concrete buildings, End-of-life options, Multicriteria analysis, Sustainable construction, BIM