Design of low-carbon and cost-efficient concrete frame buildings: a hybrid optimization approach based on harmony search

被引:1
作者
Zhang, Xiaocun [1 ]
Zhang, Xueqi [2 ]
机构
[1] Ningbo Univ, Sch Civil & Environm Engn, Ningbo 315211, Zhejiang, Peoples R China
[2] Xian Univ Architecture & Technol, Sch Architecture, Xian, Shaanxi, Peoples R China
基金
中国国家自然科学基金;
关键词
Low-carbon building; concrete framed structure; carbon emission assessment; harmony search; multi-objective optimal design; GREENHOUSE-GAS EMISSIONS; LIFE-CYCLE ASSESSMENT; GENETIC ALGORITHM; EMBODIED CARBON; ZERO-ENERGY; TECHNOLOGY; CO2; PRECAST; SYSTEM; PHASE;
D O I
10.1080/13467581.2022.2145202
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
The development of sustainable building structures has been a crucial measure for carbon reduction. With consideration of both carbon emissions and costs, the sustainable design of building structures is complicated and time consuming for designers. To simplify the process of sustainable design optimization, the present study proposes a multi-objective harmony search algorithm for the design of concrete frame buildings considering low-carbon and cost-efficient requirements. This hybrid method combines structural analysis with local component optimization. Process-based life cycle assessment was used to identify carbon-intensive and high-cost structural members, and these members were optimized using discrete design variables and complicated constraints. Furthermore, a case study was conducted on a four-story frame building, in which the embodied emissions and costs were estimated as 1270.91 tCO(2e) and 0.67 million USD in the initial design scheme. Beams were identified as the optimization target for this building, and a set of Pareto-optimal solutions was obtained, indicating potential emission and cost reductions of 17.9% and 12.3%, respectively, compared with the initial designs. This study provides an easy and practical approach for the sustainable design of concrete frame buildings and enables designers to better understand building structural optimization from an economic and low-carbon perspective.
引用
收藏
页码:2161 / 2174
页数:14
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