摘要
为研究钢筋混凝土结构构件的低碳设计方法与影响因素,以碳排放量和造价为指标,采用基于离散变量的双目标遗传算法实现了混凝土框架柱的截面优化设计,并通过参数分析,研究了材料强度、轴压比、偏心距以及抗震等级对框架柱碳排放水平的影响规律。结果表明:采用高强度纵筋具有较好的低碳与经济效益,而混凝土强度等级对框架柱最优碳排放量的影响较小,但可适当采用较高强度混凝土以节约经济成本;当轴压比一定时,碳排放及造价优化结果随轴向力偏心距增大而增大;当偏心距一定时,轴压比在0.4~0.6范围内的低碳与经济性较好。此外,随抗震等级提高,框架柱的优化碳排放量与造价显著增加。
To investigate the method and influencing factors for low-carbon design of reinforced concrete(RC)members,the carbon emission and cost were taken as indicators,and sectional optimization design of RC frame columns was realized by a double-objective genetic algorithm based on discrete variables.Moreover,a parametric analysis was employed to explore the influences of material strength,axial compression ratio,eccentricity,and seismic grade on the carbon emissions of frame columns.The results indicate that high-strength longitudinal reinforcements show considerable low-carbon and economic benefits,whereas the concrete strength has little impact on the optimized carbon emissions,and higher strength concrete can be appropriately used to save costs.If the axial compression ratio is constant,the optimal results of carbon emission and cost increase with the eccentricity of axial force.And if the eccentricity is constant,low-carbon and economical designs can be achieved when the axial compression ratio is within the range of 0.4 to 0.6.Besides,the optimized carbon emissions and costs of the frame columns increase significantly with the increase of seismic grade.
作者
张孝存
王凤来
ZHANG Xiaocun;WANG Fenglai(School of Civil and Environmental Engineering,Ningbo University,Ningbo 315211,China;School of Civil Engineering,Harbin Institute of Technology,Harbin 150001,China)
出处
《建筑结构学报》
EI
CAS
CSCD
北大核心
2022年第S01期77-85,共9页
Journal of Building Structures
基金
国家自然科学基金项目(52108152)
浙江省自然科学基金项目(LQ22E080001)
关键词
钢筋混凝土框架柱
低碳指标
截面优化设计
遗传算法
RC frame column
low-carbon indicator
sectional optimization design
genetic algorithm
作者简介
张孝存,出生于1990年,男,工学博士,副教授,主要从事低碳建筑结构与可持续性设计研究。email:hitzhangxc@hotmail.com
