基于人工神经网络的RC框架结构地震响应预测方法
Response Prediction Method of the RC Frame Structure Based on the Artificial Neural Network
赵煜东 1许卫晓 1于德湖 2邱玲玲 2陈阵隆 3邱玉胜4
作者信息
- 1. 青岛理工大学土木工程学院,山东青岛 266520
- 2. 山东建筑大学土木工程学院,山东济南 250101
- 3. 青岛中建联合集团有限公司,山东青岛 266100
- 4. 青岛市博物馆,山东青岛 266061
- 折叠
摘要
为了实现钢筋混凝土(Reinforced Concrete,RC)框架结构地震响应的快速预测,提出了一种基于人工神经网络的RC框架结构地震响应预测方法,设计低层、多层和小高层共3个典型RC框架结构作为研究对象,以四川雅安地区为目标场地,基于条件均值谱选取地震动记录作为输入并进行弹塑性时程分析,所得样本数据用于训练人工神经网络.以地震动强度信息和结构信息为输入预测结构响应,同时对模型进行参数敏感性分析.结果表明:建立的人工神经网络模型具有较好的泛化性能,平均谱加速度具有最高的平均影响值,提出的方法为快速预测RC框架结构地震响应提供了方法借鉴.
Abstract
To realize the rapid prediction of seismic response of reinforced concrete(RC)frame structure,a seismic re-sponse prediction method of RC frame structure based on the artificial neural network(ANN)is proposed.Three typical RC frame structures of low-rise,multi-storey and small high-rise were designed as research examples.Ya'an area in Sichuan was taken as the target site.Based on the conditional mean spectrum(CMS),the ground motion records were selected as input and the elastic-plastic time history analysis was carried out.The obtained sample data were used to train the artificial neural network.The information of the ground motion intensity and the structures were used as input to predict the structural response,and the parameters'sensitivity of the model was analyzed.The results show that the established artificial neural network model has good generalization performance,and the aver-age spectral acceleration(AvgSa)has the highest average impact value(MIV).The proposed method provides a reference for the rapid prediction of the seismic response of the RC frame structures,and has a good application prospect.
关键词
RC框架结构/人工神经网络/地震响应/参数敏感性分析Key words
RC frame structure/the artificial neural network/seismic response/analysis of the parameter sensitivity引用本文复制引用
基金项目
山东省自然科学基金(ZR2020ME246)
山东省自然科学基金(ZR2022ME029)
出版年
2024
NETL
NSTL
维普
万方数据