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基于实测的斜拉桥拉索温度规律及模式研究

戴公连 詹琢然 何昌林 张强强

华中科技大学学报(自然科学版)2025,Vol.53Issue(2):62-68,7.
华中科技大学学报(自然科学版)2025,Vol.53Issue(2):62-68,7.DOI:10.13245/j.hust.250056

基于实测的斜拉桥拉索温度规律及模式研究

Temperature rules and patterns of cables on cable-stayed bridge based on actual measurement

戴公连 1詹琢然 2何昌林 3张强强4

作者信息

  • 1. 中南大学土木工程学院,湖南 长沙 410083||高速铁路建造技术国家工程实验室,湖南 长沙 410083
  • 2. 中南大学土木工程学院,湖南 长沙 410083
  • 3. 中国电建集团中南勘测设计研究院有限公司,湖南 长沙 410014
  • 4. 华北科技学院建筑工程学院,河北 廊坊 065201
  • 折叠

摘要

Abstract

Based on cable segment experiments on three long-span cable-stayed bridges for high-speed railways,the temperature field of cable-stayed cables was studied in this article.According to the measured data,the gradient boosting decision tree(GBDT)was used to construct the prediction model of cable cross-section uniform temperature based on environmental variables.Based on the meteorological data from 1970 to 2020,combined with the cable temperature prediction model,the long-term historical data of the cable uniform temperature was obtained.The general law of the cable temperature in one day and one year as well as the patterns under extreme conditions were obtained,which lays a foundation for the effect analysis of cable-stayed Bridges.The results show that the prediction error of GBDT model is more than 60%lower than that of linear model.During the 50-year recurrence period,the maximum uniform temperature of Quanzhou,Yuxihe and Ganzhou sections is 38.08,42.30 and 40.30℃,and the lowest temperature is 4.70,-8.02 and-1.25℃,respectively.

关键词

大跨度斜拉桥/温度预测/时程曲线/梯度提升树/极值预测

Key words

long-span cable-stayed bridge/temperature prediction/time history curve/gradient boosting tree/extreme value prediction

分类

交通运输

引用本文复制引用

戴公连,詹琢然,何昌林,张强强..基于实测的斜拉桥拉索温度规律及模式研究[J].华中科技大学学报(自然科学版),2025,53(2):62-68,7.

基金项目

国家自然科学基金资助项目(51708560) (51708560)

中国铁路总公司科技研究开发计划重点项目(2017G006-N) (2017G006-N)

湖南省自然科学基金资助项目(2018JJ3672). (2018JJ3672)

华中科技大学学报(自然科学版)

OA北大核心

1671-4512

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