东南大学学报（自然科学版）2025，Vol.55Issue(5)：1337-1345,9.DOI:10.3969/j.issn.1001-0505.2025.05.014
RC建筑重量代表值的统计回归预测模型
Statistical regression prediction model for representative values of RC building weight
摘要
Abstract
The representative value of building weight is a very important characteristic parameter in seismic analysis of buildings.However,the empirical coefficient of weight per unit area is usually used to estimate the weight of existing buildings,and there are no prediction models based on the parameters such as height and number of floors.In this study,the weight representative values and related design parameters of 524 rein-forced concrete(RC)buildings in China are collected through massive literature search,including four struc-tural types:frame-core wall,frame-shear wall,shear wall and frame structure.Then the distribution laws of building weight with floor area,plane size,structural height and structure type are statistically analyzed.Based on parameter correlation analysis,the regression formulas of weight representative value of buildings of different structural types with single structural geometric parameters and multi-parameter combinations are pro-posed,which can be applied to different scenarios.Finally,the prediction formulas are applied to five engi-neering examples,and the results are compared with the existing empirical formulas.The results show that the accuracy of the proposed prediction formulas of the weight representative value is acceptable and can be used in the preliminary design of engineering,the evaluation of existing buildings and the parametric modeling in the disaster prevention analysis of urban buildings.关键词
钢筋混凝土结构/建筑物重量/相关性分析/回归预测模型/单参数/多参数Key words
reinforced concrete(RC)structures/weight of buildings/correlation analysis/regression predic-tion model/single parameter/multiple parameter分类
建筑与水利引用本文复制引用
陈隽,徐静,李阳,项梦洁,冯德成..RC建筑重量代表值的统计回归预测模型[J].东南大学学报（自然科学版）,2025,55(5):1337-1345,9.基金项目
国家重点研发计划资助项目(2023YFC3805800). （2023YFC3805800）
