土木工程

基于遗传-差分进化混合算法的钢框架结构智能反演

  • 王昊天 ,
  • 韩坦 ,
  • 王奕龙 ,
  • 闫伸 ,
  • 陈列云 ,
  • 赵宪忠
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  • 1. 同济大学 土木工程学院, 上海 200092;
    2. 32182部队, 北京 100042;
    3. 土木工程防灾减灾全国重点实验室, 上海 200092

收稿日期: 2025-03-25

  网络出版日期: 2026-07-04

基金资助

国家重点研发计划资助项目(2022YFC3801902)

Intelligent inversion of steel frame structures based on hybrid genetic-differential evolution algorithm

  • WANG Haotian ,
  • HAN Tan ,
  • WANG Yilong ,
  • YAN Shen ,
  • CHEN Lieyun ,
  • ZHAO Xianzhong
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  • 1. College of Civil Engineering, Tongji University, Shanghai 200092, China;
    2. Unit 32182 of PLA, Beijing 100042, China;
    3. State Key Laboratory of Disaster Reduction in Civil Engineering, Shanghai 200092, China

Received date: 2025-03-25

  Online published: 2026-07-04

摘要

提出了一种基于智能优化算法的钢框架结构设计参数反演方法,将规范约束和先验知识融入计算,构建了智能反演的一般流程,并通过改进混合算法提升了反演效率.初步研究结果显示,相较于传统方法,新方法在精度和效率方面都有明显优势,为建筑结构的维护提供了一种新的解决方案.

本文引用格式

王昊天 , 韩坦 , 王奕龙 , 闫伸 , 陈列云 , 赵宪忠 . 基于遗传-差分进化混合算法的钢框架结构智能反演[J]. 上海大学学报(自然科学版), 2026 , 32(3) : 432 -446 . DOI: 10.12066/j.issn.1007-2861.2721

Abstract

This paper proposed an intelligent inversion method for design parameters of steel frame structures based on intelligent optimization algorithms. It incorporated regulatory constraints and prior knowledge into the calculation, constructed a general workflow for intelligent inversion, and improved the inversion efficiency by improving the hybrid algorithm. Preliminary research results showed that compared with traditional methods, the new method had obvious advantages in accuracy and efficiency, providing a new solution for the maintenance of building structures.

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