防灾减灾工程学报2024，Vol.44Issue(2)：263-272,10.DOI:10.13409/j.cnki.jdpme.20231025001
基于IPOA的巨型组合框架结构震损快速预测模型研究
Rapid Prediction Model for Seismic Damage in Mega Composite Frame Structures Based on IPOA Methods
摘要
Abstract
To rapidly assess the extent of seismic damage in mega composite frame structures,this study introduced a multi-parameter seismic damage prediction method utilizing Improved Pelican Opti-mization Algorithm(IPOA).Five models with different parameters were developed,and dynamic re-sponse data for the structures were obtained through shaking table tests and nonlinear time-history analyses using finite element(FE)software.Structural damage indices were quantified to assess the ex-tent of damage.Additionally,the traditional Pelican Optimization Algorithm(POA)was enhanced by incorporating K-means clustering optimization and inertia weight adaptive optimization strategy.Based on the data from shaking table tests and FE analyses,the accuracy of structural damage predictions us-ing different input parameter combinations was compared.A rapid prediction model using an intelli-gent algorithm was constructed to reflect the nonlinear relationship between structural parameters and its damage.Finally,the model's predictions were compared and verified against the seismic damage extent from shaking table tests on a 1/15 scale model.The results indicated that:(1)The IPOA model exhibited superior accuracy and generalization capability compared to other algorithm models;(2)The maximum inter-story drift angle showed the highest correlation with structural damage.The introduc-tion of additional input parameters that affected structural damage could enhance the model's predic-tion accuracy and its generalization capability;(3)The predicted structural damage indices exhibited an error of less than 10%compared to the experimental results,and the predicted levels of structural damage aligned with the experimental results.The proposed rapid prediction model can effectively and accurately predict structural damage indicators.关键词
机器学习/巨型结构/快速评估/鹈鹕优化算法/结构损伤Key words
machine learning/mega structure/rapid assessment/POA/structural damage分类
建筑与水利引用本文复制引用
黄志,周芙蓉,陈娟,蒋丽忠,周旺保,戚菁菁..基于IPOA的巨型组合框架结构震损快速预测模型研究[J].防灾减灾工程学报,2024,44(2):263-272,10.基金项目
国家自然科学基金项目(52204210,51808213)、湖南省自然科学基金项目(2023JJ30242)、湖南省教育厅科学研究优秀青年项目(21B0452,20B214)、湖南省教育厅科学研究重点项目(20A184)资助 （52204210,51808213）
