重庆大学学报2024,Vol.47Issue(4) :86-93.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 李正良 彭思思 王涛
重庆大学学报2024,Vol.47Issue(4) :86-93.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
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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

为了准确、高效地评估输电塔半刚性节点的力学特性,提出了一种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,通过引入代理模型方法近似半刚性节点几何尺寸与极限抗弯承载力、初始转动刚度之间的函数关系,建立具有较高精度的预测模型,进而结合Kish-Chen幂函数模型拟合输电塔半刚性节点的弯矩-转角曲线.结果表明,提出的基于代理模型的输电塔半刚性节点弯矩-转角曲线预测方法能减少实验和数值模拟的成本,较好地模拟输电塔半刚性节点实际受力-变形情况,为输电塔半刚性节点的工程设计和理论研究提供了参考.

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

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基金项目

国家自然科学基金国际(地区)合作与交流项目(51611140123)

国家重点研发计划(2017YFC0703901)

国家重点研发计划(2018YFC0809406)

重庆市博士后基金特别资助项目(2022CQBSHBT3009)

出版年

2024
重庆大学学报
重庆大学

重庆大学学报

CSTPCDCSCD北大核心
影响因子:0.601
ISSN:1000-582X
参考文献量20
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