中文核心期刊
CSCD来源期刊
中国科技核心期刊
RCCSE中国核心学术期刊

重庆交通大学学报(自然科学版) ›› 2022, Vol. 41 ›› Issue (05): 57-65.DOI: 10.3969/j.issn.1674-0696.2022.05.09

• 交通基础设施工程 • 上一篇    下一篇

基于检测信息的重庆市政桥梁服役现状及其分析方法展望

唐启智1,2,辛景舟1,2,周建庭1,2,张向和3,杨宏3   

  1. (1. 重庆交通大学 省部共建山区桥梁及隧道工程国家重点实验室,重庆 400074; 2. 重庆交通大学 土木工程学院,重庆 400074;3. 重庆市市政设施运行保障中心,重庆 400015)
  • 收稿日期:2020-09-18 修回日期:2020-12-05 发布日期:2022-05-26
  • 作者简介:唐启智(1995—),男,四川广安人,博士研究生,主要从事桥梁监测、评估方面的研究。E-mail:TangQizhi1015@163.com 通信作者:辛景舟(1989—),男,黑龙江大庆人,副教授,博士,主要从事桥梁监测、评估与预测方面的研究。E-mail:xinjz@cqjtu.edu.cn
  • 基金资助:
    国家自然科学基金项目(51908094,51978111);重庆市技术创新与应用发展专项重点项目(cstc2019jscx-gksbX0047); 重庆交通大学研究生科研创新项目(2021B0001)

Service Status and Analysis Method Prospect of Chongqing Municipal Bridges Based on Detection Information

TANG Qizhi1, 2, XIN Jingzhou1, 2, ZHOU Jianting1, 2, ZHANG Xianghe3, YANG Hong3   

  1. (1. State Key Laboratory of Mountain Bridge and Tunnel Engineering, Chongqing Jiaotong University, Chongqing 400074, China; 2. School of Civil Engineering, Chongqing Jiaotong University, Chongqing 400074, China; 3. Chongqing Municipal Facilities Operation Guarantee Center, Chongqing 400015, China)
  • Received:2020-09-18 Revised:2020-12-05 Published:2022-05-26

摘要: 市政桥梁是城市交通路网中的重要命脉,其健康状况事关城市运行服务品质。基于重庆市近两年191座受检桥梁的检测报告,对桥梁服役状况、检测评估手段、数据利用情况进行了全面的梳理,旨在掌握城市桥梁服役现状,探明现存问题与技术需求,推动桥梁检测评估工作的进一步发展。调查结果表明:重庆市政桥梁整体服役状态较好;技术状况评定方法有待更新、完善;智能检测手段应用场景较少,隐蔽病害无损检测技术工程需求巨大;桥梁检测数据利用率偏低、挖掘深度不够。研究结果可为基于桥梁检测数据的劣化规律、状态评估、维护决策等研究工作提供重要参考。

关键词: 桥梁工程;现状;评定;智能检测;隐蔽病害;数据挖掘

Abstract: Municipal bridge is an important lifeline in the urban traffic network, and its health is related to the service quality of urban operation. Based on the detection reports of 191 detected bridges in Chongqing in the past two years, the service status, detection and evaluation methods and data utilization conditions were comprehensively sorted out, which was in order to grasp the current status of urban bridge, explore the existing problems and technical needs, and promote the further development of bridge detection and evaluation. The investigation results show that the service status of Chongqing municipal bridges is good. The evaluation method of technical condition needs to be updated and improved. There are few application scenarios for intelligent detection methods, and there is a huge engineering demand for non-destructive detection technology of hidden diseases. And the utilization rate of bridge detection data is low and the excavation depth is not enough. The research results can provide an important reference for the study of deterioration law, condition assessment, and maintenance decision-making based on bridge detection data.

Key words: bridge engineering; condition; assessment; intelligent detection; hidden defect; data mining

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