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基于代理模型的输电塔半刚性节点弯矩-转角曲线预测方法

刘泉 李正良 彭思思 王涛

重庆大学学报2024,Vol.47Issue(4):86-93,8.
重庆大学学报2024,Vol.47Issue(4):86-93,8.DOI:10.11835/j.issn.1000.582X.2024.04.007

基于代理模型的输电塔半刚性节点弯矩-转角曲线预测方法

A surrogate model-based prediction method of moment-rotation curve of semi-rigid joints in transmission towers

刘泉 1李正良 2彭思思 2王涛3

作者信息

  • 1. 国网经济技术研究院有限公司,北京 102209
  • 2. 重庆大学 土木工程学院,重庆 400045
  • 3. 重庆大学 土木工程学院,重庆 400045||哈尔滨工业大学 交通科学与工程学院,哈尔滨 150090
  • 折叠

摘要

Abstract

In order to accurately and efficiently evaluate the mechanical properties of semi-rigid joints in transmission towers,a method based on surrogate model is proposed to predict the moment-rotation relationship of the semi-rigid joints.By introducing the surrogate model method to approximate the functional relationship between the geometric dimensions,ultimate flexural capacity,and initial rotational stiffness of semi-rigid joints,a prediction model with high accuracy is established.Furthermore,the moment-rotation curves of semi-rigid joints in transmission towers are fitted using the Kish-Chen power function model.The results show that the proposed surrogate model-based prediction method for moment-rotation curves of semi-rigid joints can reduce the cost of experiments and numerical simulations,while accruately approximating the actual force-deformation relationship of semi-rigid joints in transmission towers.This method also provides valuable insights for the engineering design and theoretical research of semi-rigid joints in transmission towers.

关键词

代理模型/输电塔/半刚性节点/弯矩-转角曲线

Key words

surrogate model/transmission towers/semi-rigid joints/moment-rotation curves

分类

信息技术与安全科学

引用本文复制引用

刘泉,李正良,彭思思,王涛..基于代理模型的输电塔半刚性节点弯矩-转角曲线预测方法[J].重庆大学学报,2024,47(4):86-93,8.

基金项目

国家自然科学基金国际(地区)合作与交流项目(51611140123) (地区)

国家重点研发计划项目(2017YFC0703901,2018YFC0809406) (2017YFC0703901,2018YFC0809406)

重庆市博士后研究项目特别资助(2022CQBSHBT3009).Supported by International(Regional)Cooperation and Exchange Program of the National Natural Science Founda-tion of China(51611140123),National Key R&D Plan Project(2017YFC0703901,2018YFC0809406)and Special Support of Chongqing Postdoctoral Research Project(2022CQBSHBT3009). (2022CQBSHBT3009)

重庆大学学报

OA北大核心CSTPCD

1000-582X

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