基于生成对抗网络的剪力墙结构地震位移预测方法研究  

Research on Seismic Displacement Prediction Method of Shear Wall Structure Based on Generative Adversarial Networks

作　　者：马浏轩 徐国愚 丁松阳 闫晓龙 MA Liuxuan;XU Guoyu;DING Songyang;YAN Xiaolong(School of Computer and Information Engineering,Henan University of Economics and Law,Zhengzhou 450046,China;Third Dimension(Henan)Software Technology Co.,LTD,Zhengzhou 450011,China)

机构地区：[1]河南财经政法大学计算机与信息工程学院,河南郑州450046 [2]第三维度(河南)软件科技有限公司,河南郑州450011

出　　处：《软件导刊》2025年第1期21-28,共8页Software Guide

基　　金：河南省科技攻关项目(182102210020)。

摘　　要：对高层剪力墙类型建筑结构进行地震位移分析,有助于工程师评估建筑物的抗震能力。现有方法多采用有限元进行计算,时间开销大。为此,提出一种基于生成对抗网络的高层剪力墙结构地震位移快速预测方法。该模型基于生成对抗网络结构拟合剪力墙部署与结构地震位移之间的映射函数。为提高模型剪力墙结构地震位移预测准确性与可行性,基于模型对建筑图像进行语义化处理,保留关键结构信息并将其作为输入,输出所预测的结构地震位移,同时在输出结果评估中通过逐像素得分,对训练后的模型性能进行评估。实验结果表明,该模型SSIM、PSNR、LPIPS指标值分别在0.98、32.1、0.02左右,均优于pix2pix模型,同时其LCA值和MAE值也表现良好,该方法能够作为有限元方法的有益补充,并更好地应用于结构优化等。The seismic displacement analysis of high-rise shear wall type building structure can help engineers evaluate the seismic ability of buildings,which is of great significance.All the existing methods use finite elements for calculation,which leads to high time overhead.There‐fore,this paper proposes a fast prediction method for seismic displacement of high-rise shear wall structures based on generative adversarial networks.The model is based on a generative adversarial network structure to fit the mapping function between shear wall deployment and structural seismic displacement.In order to improve the accuracy and feasibility of the model shear wall structure seismic displacement predic‐tion,the model processed the building image semantically,retained the key structural information and used it as input to output the predicted structural seismic displacement.At the same time,the performance of the trained model was evaluated by pixel-by-pixel score in the output result evaluation.The experimental results show that the SSIM,PSNR and LPIPS index values of the model are about 0.98,32.1 and 0.02 re‐spectively,which are superior to the pix2pix model.Meanwhile,the LCA and MAE values of the model also perform well.This method can be used as a useful supplement to the finite element method and can be applied to applications such as structural optimization.

关 键 词：结构地震位移 高层剪力墙结构 生成对抗网络 机器学习 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程]