Influence of parameter uncertainty on the low-carbon design optimization of reinforced concrete continuous beams

被引：18

作者：

Zhang, Xiaocun ^{[1
]}

Wang, Fenglai ^{[2
]}

机构：

[1] Ningbo Univ, Sch Civil & Environm Engn, Ningbo 315211, Peoples R China

[2] Harbin Inst Technol, Sch Civil Engn, Harbin, Peoples R China

来源：

STRUCTURAL CONCRETE | 2023年 / 24卷 / 01期

基金：

中国国家自然科学基金;

关键词：

embodied carbon emission; hybrid optimization approach; low-carbon design; parameter uncertainty; reinforced concrete; LIFE-CYCLE ASSESSMENT; GREENHOUSE-GAS EMISSIONS; EMBODIED ENERGY; CO2; EMISSIONS; BUILDING CONSTRUCTION; HARMONY SEARCH; ZERO-ENERGY; COST; REDUCTION; ALGORITHM;

D O I：

10.1002/suco.202100903

中图分类号：

TU [建筑科学];

学科分类号：

0813 ;

摘要：

Sustainable structural design can benefit the low-carbon building industry. This study developed a hybrid optimization approach to analyze the influence of parameter uncertainty on the low-carbon design optimization of reinforced concrete components. The proposed approach combined Monte Carlo simulations with a genetic algorithm for stochastic design optimization considering uncertainty in carbon emission factors. Based on a "cradle to site" system boundary that considers the production, transportation, and construction of reinforcement, concrete, and formwork, a case study of a continuous beam was conducted. The results revealed the significance of carbon emission factor choices on the optimal solutions. Further parametric analyses indicated the rational ranges of sectional dimensions and material strengths from a probabilistic perspective, and suggestions were accordingly proposed for low-carbon design alternatives. Overall, the choices of emission factors can change the values of objective functions in the optimization, and therefore, affect the optimized design parameters of reinforced concrete beams.

引用

页码：855 / 871

页数：17

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