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Prefabricated concrete components combination schemes selection based on comprehensive benefits analysis.
Shuqiang Wang1, Zengjiayu Wang1, Yuke Ruan1
1School of Civil Engineering, Architecture and Environment, Hubei University of Technology, Wuhan, China.
Plos One
|July 26, 2023
Summary
Selecting optimal prefabricated component combinations is challenging. This study introduces a fuzzy gray correlation projection method to evaluate schemes based on assembly rate, cost, duration, and carbon footprint, identifying the L scheme as superior for prefabricated buildings.
Area of Science:
- Construction Management
- Sustainable Building
- Decision Science
Background:
- Prefabricated buildings utilize diverse components, leading to complex combination schemes that are difficult to select.
- A systematic approach is needed to evaluate and choose the most suitable prefabricated component combination schemes.
Purpose of the Study:
- To develop and apply an evaluation method for selecting optimal prefabricated component combination schemes.
- To address the complexity in choosing schemes for prefabricated buildings.
Main Methods:
- Constructed an evaluation index system considering assembly rate, cost, duration, and carbon footprint.
- Employed the fuzzy gray correlation projection method for scheme evaluation and selection.
- Conducted a case study on a residential building in Wuhan, China.
Main Results:
- The L scheme was identified as the optimal choice among six evaluated options.
- A ranked selection order for prefabricated components in different scenarios was established.
- The proposed method demonstrated good applicability in a real-world case study.
Conclusions:
- The fuzzy gray correlation projection method provides a reasonable and effective reference for participants in assembled building projects.
- This study offers a novel approach for the evaluation of prefabricated component combination schemes.
- The findings aid in optimizing scheme comparison and selection processes in prefabricated construction.
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