桥梁面相学及其研究进展

doi:10.3969/j.issn.1674-0696.2024.03.01

摘要/Abstract

摘要： 为了探索更加实效、经济、便捷、可信的桥梁安全状态检（监）测新方法，受中医望、闻、问、切诊断人体健康状态理念启迪，提出了依据桥梁外观形态变化来获知结构近期安全状态的桥梁面相学；总结了10多年来基于桥梁面相学的桥梁安全状态检（监）研究进展；介绍了基于定点相机平转+竖转拍摄的桥梁动静影像全息性态监测系统、基于激光雷达+全景数码相机拍摄的WWWQ-G桥梁安全巡检车、基于普通摄像头拍摄的常规跨径桥梁安全监测系统和基于定点旋转测量装置的拉索性态远距全域视频检测系统的构成理论，以及各系统应用于桥梁构件损伤检测的试验研究案例和实际工程应用案例；展望了融合“测点传感器+机器视觉”实现桥梁结构状态的“精+密”监测方法及其应用前景。

关键词: 桥梁工程；桥梁检（监）测；机器视觉；全息变形；装备研发

Abstract: In order to explore a new method of bridge safety inspection/monitoring that was more effective, economical, convenient and credible, the bridge physiognomy that obtained the recent safety status of the structure according to changes in the appearance of the bridge was proposed, which was inspired by the traditional Chinese medicine concept of “observing, smelling, inquiring and palpation” in diagnosing human health status. The research progress of bridge safety condition inspection/monitoring based on bridge physiognomy for more than 10 years was summarized. The composition theory of the holographic monitoring system for dynamic and static images of bridges based on fixed-point camera flat-turn+vertical-turn shooting, the WWWQ-G bridge safety inspection vehicle based on LIDAR+panoramic digital camera shooting, the system for safety monitoring of conventional span bridges based on ordinary camera shooting and the long-range, global video detection system for tension cable state behavior based on a fixed-point rotating measuring device were introduced. Experimental research cases and practical engineering application cases of each system applied to damage detection of bridge components were also introduced. The method integrating “measuring point sensors+machine vision” to realize the “precise+dense” monitoring of bridge structure status and its application prospects were looking forward to.

Key words: bridge engineering; bridge inspection/monitoring; machine vision; holographic deformation; equipment development

中图分类号:

周志祥1，2，周丰力1，2，楚玺1. 桥梁面相学及其研究进展[J]. 重庆交通大学学报（自然科学版）, 2024, 43(3): 1-9.

ZHOU Zhixiang1,2, ZHOU Fengli1,2, CHU Xi1. Bridge Physiognomy and Its Research Progress[J]. Journal of Chongqing Jiaotong University(Natural Science), 2024, 43(3): 1-9.

参考文献

［1］朱世峰. 液-气联动差压连通管式桥梁竖向位移监测方法研究［D］. 重庆：重庆交通大学，2017.
ZHU Shifeng. Research on Bridges Vertical Displacement Monitoring Method Using Liquid-Air Linkage Differential Pressure Connecting Pipe ［D］. Chongqing: Chongqing Jiaotong University, 2017.
［2］李亮. 混凝土结构裂缝萌生开展的扩展有限元分析［D］. 重庆：重庆交通大学，2014.
LI Liang. Extended Finite Element Method (XFEM) Research of Crack Growth in Concrete Structure ［D］. Chongqing: Chongqing Jiaotong University, 2014.
［3］王铭. 装配式钢桁-砼组合梁的变形全过程分析［D］. 重庆：重庆交通大学，2016.
WANG Ming. Deformation Analysis of Fabricated Steel Truss-Concrete Composite Beams ［D］. Chongqing: Chongqing Jiaotong University, 2016.
［4］文东. 混凝土空心板桥面形态变化与损伤状况的试验研究［D］. 重庆：重庆交通大学，2016.
WEN Dong. Experimental Study on the Relationship between Surface Morphological and Damage of Reinforced Concrete Hollow Slab Bridge ［D］. Chongqing: Chongqing Jiaotong University, 2016.
［5］雷杨崑. 基于异常变形的钢-砼组合梁损伤识别试验研究［D］. 重庆：重庆交通大学，2018.
LEI Yangkun. Research on Damage Identification of Steel-Concrete Composite Beams Based on Abnormal Deformation ［D］. Chongqing: Chongqing Jiaotong University, 2018.
［6］吴桐. 基于曲率特征的桥梁结构损伤识别方法研究［D］. 重庆：重庆交通大学，2020.
WU Tong. Research on Damage Identification Method of Bridge Struc-tures Based on Curvature Features ［D］. Chongqing: Chongqing Jiaotong University, 2020.
［7］陈东军. 钢绞线力致磁各向异性与电感谐振效应及应力检测机理研究［D］. 重庆：重庆交通大学，2019.
CHEN Dongjun. Research on Force-Induced Magnetic Anisotropy and Inductive Resonance Effect of Steel Strand and Stress Detection Application Mechanism ［D］. Chongqing: Chongqing Jiaotong University, 2019.
［8］高燕梅. 装配式钢桁-混凝土组合梁结构行为与计算方法研究［D］. 重庆：重庆交通大学，2018.
GAO Yanmei. Research on Structural Behavior and Calculation Methods for Prefabricated Steel Truss-Concrete Composite Beam ［D］. Chongqing: Chongqing Jiaotong University, 2018.
［9］吴杰. 有机玻璃模型桥桥面形态与结构损伤关系研究［D］. 重庆：重庆交通大学，2015.
WU Jie. Study on the Relationship between Deck Deformation and Structure Damage of PMMA Model Bridge ［D］. Chongqing: Chongqing Jiaotong University, 2015.
［10］苗文龙. 混凝土箱形梁顶板几何形态与结构状况关联的试验研究［D］. 重庆：重庆交通大学，2017.
MIAO Wenlong. Testing Research on the Relationship between the Geometric Shape and Structural State of the Concrete Box Girder Roof ［D］. Chongqing: Chongqing Jiaotong University, 2017.
［11］姜腾蛟. 基于桥面形态的钢-砼组合梁损伤状况试验研究［D］. 重庆：重庆交通大学，2018.
JIANG Tengjiao. Experimental Study on Damage Condition of the Steel-Concrete Composite Beam Based on the Bridge Surface ［D］. Chongqing: Chongqing Jiaotong University, 2018.
［12］王身宁. 移动激光扫描下的桥面形态数据采集与处理方法探索［D］. 重庆：重庆交通大学，2015.
WANG Shenning. Exploration on Collection and Processing of Bridge Physiognomy Data Obtained by Mobile 3D Laser Scanning ［D］. Chongqing: Chongqing Jiaotong University, 2015.
［13］李庆桐. 基于图像工程的车载桥梁安全检查平台的探索［D］. 重庆：重庆交通大学，2014.
LI Qingtong. Exploration of Vehicle Bridge Safety Detection Platform Based on Image Engineering ［D］. Chongqing: Chongqing Jiaotong University, 2014.
［14］侯旭. 改进影像面配准的桥面全息变形获取方法探索［D］. 重庆：重庆交通大学，2019.
HOU Xu. Exploration on Acquisition Method of Bridge Deck Hologra-phic Deformation by Improving Image Plane Registration ［D］. Chong-qing: Chongqing Jiaotong University, 2019.
［15］何松霖. 基于序列图像特征匹配的桥梁轮廓线变形获取方法研究［D］. 重庆：重庆交通大学，2019.
HE Songlin. Research on Acquisition Method of Bridge Contour Deformation Based on Feature Matching of Sequence Image ［D］. Chongqing: Chongqing Jiaotong University, 2019.
［16］毛若愚. 基于影像视频获取桥梁动力响应参数方法探索［D］. 重庆：重庆交通大学，2020.
MAO Ruoyu. Exploration of Methods for Obtaining Bridge Dynamic Response Parameters Based on Video ［D］. Chongqing: Chongqing Jiaotong University, 2020.
［17］段鑫. 基于三维影像重构的钢-砼组合梁损伤识别试验研究［D］. 重庆：重庆交通大学，2020.
DUAN Xin. Experimental Study on Damage Identification of the Steel-Concrete Composite Beams Based on 3D Image Reconstruction［D］. Chongqing: Chongqing Jiaotong University, 2020.
［18］龙洋. 基于实时交通流影像数据的过桥车辆荷载估计方法探索［D］. 重庆：重庆交通大学，2021.
LONG Yang. Research on the Method of Estimating the Vehicle Load on the Bridge Based on Real-time Traffic Flow Image ［D］. Chongqing: Chongqing Jiaotong University, 2021.
［19］田洋. 基于视频数据的简支梁模型桥损伤识别方法探索［D］. 重庆：重庆交通大学，2021.
TIAN Yang. Exploration on Damage Identification Method of Simply Supported Beam Model Bridge Based on Video Data ［D］. Chongqing: Chongqing Jiaotong University, 2021.
［20］冯麟. 基于交通流监控影像的桥梁荷载识别与等效估算方法研究［D］. 重庆：重庆交通大学，2021.
FENG Lin. Research on Bridge Load Identification and Equivalent Estimation Method Based on Traffic Flow Monitoring Image ［D］. Chongqing: Chongqing Jiaotong University, 2021.
［21］郑佳燕. 基于序列图像的结构全域时空动态位移监测方法探索［D］. 重庆：重庆交通大学，2022.
ZHENG Jiayan. Research on Structural Spatial-Temporal Displacement Monitoring Method Based on Sequence Image ［D］. Chongqing: Chongqing Jiaotong University, 2022.
［22］邓国军. 基于时空影像序列的大型桥梁结构全息动静性态监测方法探索［D］. 重庆：重庆交通大学，2021.
DENG Guojun. Research on Holographic Dynamic and Static State Monitoring Method of Large Bridge Based on Spatiotemporal Image Sequence ［D］. Chongqing: Chongqing Jiaotong University, 2021.
［23］唐见. 基于定点摄影的钢桁-砼组合梁受力形态变化试验研究［D］. 重庆：重庆交通大学，2017.
TANG Jian. Experimental Study on Morphological Changes of Steel Truss-Concrete Composite Beam Based on Fixed-Point Photography ［D］. Chongqing: Chongqing Jiaotong University, 2017.
［24］楚玺. 基于定轴旋转摄影的桥梁结构全息形态监测及损伤识别方法［D］. 重庆：重庆交通大学，2020.
CHU Xi. Holographic Shape Monitoring and Damage Identification of Bridge Structure Based on Fixed Axis Rotation Photography ［D］. Chongqing: Chongqing Jiaotong University, 2020.
［25］楚玺，周志祥，段鑫，等.桥梁结构连续线形监测方法［J］. 公路交通科技，2023，40(11): 157-163.
CHU Xi, ZHOU Zhixiang, DUAN Xing, et al. A monitoring method for continuous line-shape of bridge structure ［J］. Journal of Highway and Transportation Research and Development, 2023, 40(11): 157-163.
［26］楚玺，周志祥，段鑫，等. 基于桥梁自然纹理的全场位移监测方法［J］.防灾减灾工程学报，2023，43(5): 965-971.
CHU Xi, ZHOU Zhixiang, DUAN Xin, et al. Full-field displacement monitoring method based on bridge natural texture ［J］. Journal of Disaster Prevention and Mitigation Engineering, 2023, 43 (5): 965-971.
［27］余忠儒. 基于车载振动时程信号的桥梁损伤识别方法探索［D］. 重庆：重庆交通大学，2021.
YU Zhongru. Research on Bridge Damage Identification Method Based on Vehicle Vibration Time History Signal ［D］. Chongqing: Chongqing Jiaotong University, 2021.
［28］唐俊义. 融合数字影像与结构响应的桥梁车辆荷载识别方法探索［D］. 重庆：重庆交通大学，2022.
TANG Junyi. Exploration of Bridge Vehicle Load Identification Method Integrating Digital Image and Structural Responses ［D］. Chongqing: Chongqing Jiaotong University, 2022.
［29］刘年. 基于声辐射信号的简支梁结构状态识别方法研究［D］. 重庆:重庆交通大学，2022.
LIU Nian. Research on State Identification Method of Simply Supported Beam Structure Based on Acoustic Radiation Signal ［D］. Chongqing: Chongqing Jiaotong University, 2022.
［30］黄欢. 基于序列图像模态分析的桥梁损伤识别方法研究［D］. 重庆：重庆交通大学，2022.
HUANG Huan. Research on Bridge Damage Identification Method Ba-sed on Sequential Image Modal Analysis ［D］. Chongqing: Chongqing Jiaotong University, 2022.
［31］徐健. 环境激励下桥梁结构模态参数自动化识别方法研究［D］. 重庆：重庆交通大学，2017.
XU Jian. The Research on Automatic Identification Method of Mode Parameter for Bridge Structure under Ambient Excitation ［D］. Chongqing: Chongqing Jiaotong University, 2017.
［32］罗瑞. 基于桥墩外伸摄像机的主梁全息变形监测与损伤识别研究［D］. 重庆：重庆交通大学，2023.
LUO Rui. Research on Bridge Holographic Deformation Monitoring and Damage Identification Based on Pier Outreach Camera ［D］. Chongqing: Chongqing Jiaotong University, 2023.
［33］廖小亮. 基于机器视觉的简支梁桥墩-梁连接状态安全监测方法研究［D］. 深圳：深圳大学，2023.
LIAO Xiaoliang. Research on the Security Monitoring Method of Pier-Beam Connection Based on Machine Vision ［D］. Shenzhen: Shenzhen University, 2023.
［34］楚玺, 廖小亮，周志祥. 基于数字图像处理技术的简支桥墩-梁偏位试验研究［J］. 公路交通科技,2023,40(12):125-135.
CHU Xi, LIAO Xiaoliang, ZHOU Zhixiang. Experimental study on pier-beam junction deviation of simply supported bridge based on digital image processing technology ［J］. Journal of Highway and Transportation Research and Development, 2023, 40(12): 125-135.
［35］孟俊豪. 倾斜摄影下简支梁的全息动态位移测试及损伤识别研究［D］. 重庆：重庆交通大学，2023.
MENG Junhao. Holographic Dynamic Displacement Testing and Damage Identification of Simply Supported Beams under Tilt Photography ［D］. Chongqing: Chongqing Jiaotong University, 2023.
［36］杜鹏. 基于计算机视觉的索力识别方法研究［D］. 重庆：重庆交通大学，2021.
DU Peng. Research on Computer Vision-Based Method for Cable Force Identification ［D］. Chongqing: Chongqing Jiaotong University, 2021.
［37］简传熠. 基于视频数据的拉索损伤识别方法研究［D］. 重庆：重庆交通大学，2021.
JIAN Chuanyi. Research on Cable Damage Identification Method Based on Video Data ［D］. Chongqing: Chongqing Jiaotong University, 2021.
［38］邵帅. 基于远距机器视觉的桥梁拉索动静形态与力学性态的关联机制研究［D］. 重庆：重庆交通大学，2021.
SHAO Shuai. Long-Distance Machine Vision-Assisted Research on Corre-lation Mechanism between Bridge Cable Dynamic/Static Morphology and Mechanical Behavior Properties ［D］. Chongqing: Chongqing Jiaotong University, 2021.

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