•  
  •  
 

Corresponding Author

颜东煌，男，博士，教授.E-mail：yandonghuang@126.com

Abstract

Machine learning and intelligent optimization algorithms have been increasingly applied to construction and health monitoring of long-span cable-stayed bridges. Based on the construction history of cable-stayed bridges both domestically and internationally, an overview of the origin and development process of cable-stayed bridges was provided. Firstly, from the perspective of the entire life cycle of bridges, bridge monitoring was divided into construction period monitoring and operation period monitoring. The applications of mainstream construction monitoring methods in large cable-stayed bridge projects were elaborated, and the specific composition of bridge health monitoring systems was clarified. Secondly, the basic principles of several machine learning models and intelligent optimization algorithms were introduced, and the application status of different machine learning models and intelligent optimization algorithms such as the support vector machine (SVM), neural networks, and Bayesian networks in the monitoring and calculation of large-span cable-stayed bridge construction was analyzed. The limitations and shortcomings of existing single machine learning strategies in monitoring and calculation research on bridges were summarized, and the development direction of monitoring and calculation models for large-span cable-stayed bridges that integrate machine learning and intelligent optimization algorithms was proposed. Finally, a summary was made of the noise reduction techniques and damage identification methods of existing bridge health monitoring systems. The research shows that traditional bridge structure optimization calculation methods have certain limitations, and multi-objective bridge structure optimization methods can effectively avoid this problem. Machine learning models and intelligent optimization algorithms have been widely applied to bridge monitoring calculations, but single models are more commonly employed than cross-fusion models. The structure of the bridge health monitoring system has been relatively mature. The research mainly focuses on signal noise reduction and structural damage identification. Currently, the commonly adopted structural damage identification methods are still based on convolutional neural networks and long short-term memory models. In the future, the accuracy and reliability of bridge monitoring can be further improved by integrating artificial intelligence and intelligent optimization algorithms.

Publication Date

8-16-2026

DOI

10.14048/j.issn.1671-2579.2026.04.016

First Page

144

Last Page

160

Submission Date

August 2026

Reference

[1]Ali K,Katsuchi H,Yamada H.Comparative study on structural redundancy of cable-stayed and extradosed bridges through safety assessment of their stay cables [J].Engineering,2021,7(1):111-123.
[2]Zhu Z H,Gong W,Wang K,et al.Dynamic effect of heavy-haul train on seismic response of railway cable-stayed bridge [J].Journal of Central South University,2020,27(7):1939 -1955.
[3]Jiang C,Wu C,Cai C S,et al.Corrosion fatigue analysis of stay cables under combined loads of random traffic and wind [J].Engineering Structures,2020,206:110153.
[4]Ali K,Katsuchi H,Yamada H.Parametric study on cable safety of cable-stayed bridge considering ultimate and fatigue limit states [J].Journal of Structural Engineering,A,2018,64A:99-108.
[5]Traverso M,Rizzo G,Finkbeiner M.Environmental performance of building materials:Life cycle assessment of a typical Sicilian marble [J].The International Journal of Life Cycle Assessment,2010,15(1):104-114.
[6]Liu X G,Fan J S,Nie J G,et al.Behavior of composite rigid frame bridge under bi-directional seismic excitations[J].Journal of Traffic and Transportation Engineering (English Edition ),2014,1(1):62-71.
[7]Lüdtke N,Panzeri S,Brown M,et al.Information-theoretic sensitivity analysis:A general method for credit assignment in complex networks [J].Journal of the Royal Society Interface,2008,5(19):223-235.
[8]Zheng X,Yi T H,Yang D H,et al.Stiffness estimation of girder bridges using influence lines identified from vehicle-induced structural responses [J].Journal of Engineering Mechanics,2021,147(8):04021042.
[9]Zheng X,Yang D H,Yi T H,et al.Development of bridge influence line identification methods based on direct measurement data:A comprehensive review and comparison [J].Engineering Structures,2019,198:109539.
[10]伊廷华,郑旭,杨东辉,等.中小跨径桥梁结构健康监测系统轻量化设计方法 [J].振动工程学报,2023,36(2):458-466.Yi Tinghua,Zheng Xu,Yang Donghui,et al.Lightweight design method for structural health monitoring system of short-and medium-span bridges [J].Journal of Vibration Engineering,2023,36(2):458-466.
[11]杨红,孙卓,刘夏平,等.基于多最小二乘支持向量机的桥梁温度挠度效应的分离 [J].振动与冲击,2014,33(1):71-76,88.Yang Hong,Sun Zhuo,Liu Xiaping,et al.Separation of bridge temperature deflection effect based on M-LS-SVM[J].Journal of Vibration and Shock,2014,33(1):71-76,88.
[12]胡顺仁,熊文超,包明.基于支持向量机的桥梁挠度传感器自适应修正方法研究 [J].公路,2013 (8):1-6.Hu Shunren,Xiong Wenchao,Bao Ming.Adaptive correction method of bridge deflection sensor based on support vector machine [J].Highway,2013 (8):1-6.
[13]符欲梅,朱芳,昝昕武.基于支持向量机的桥梁健康监测系统残缺数据填补 [J].传感技术学报,2012,25(12):1706 -1710.Fu Yumei,Zhu Fang,Zan Xinwu.Missing data imputation in bridge health monitoring system based on the support vector machine [J].Chinese Journal of Sensors and Actuators,2012,25(12):1706 -1710.
[14]乔朋,梁志强,徐凯,等.基于机器学习的中小跨径桥梁技术状况评估 [J].长安大学学报 (自然科学版 ),2021,41(6):39-52.Qiao Peng,Liang Zhiqiang,Xu Kai,et al.Evaluation of technical condition of medium and small span bridge based on machine learning [J].Journal of Chang ’an University (Natural Science Edition ),2021,41(6):39-52.
[15]习会峰,汤立群,何庭惠,等.基于神经网络和遗传算法的桥梁参数优化方法与分析 [J].中山大学学报 (自然科学版 ),2008,47(增刊 2):46-49.Xi Huifeng,Tang Liqun,He Tinghui,et al.Optimization of bridges ’ parameters based on BP neural network and genetic algorithm [J].Acta Scientiarum Naturalium Universitatis Sunyatseni,2008,47(S2):46-49.
[16]施洲,纪锋,余万庆,等.大型桥梁施工风险动态评估 [J].同济大学学报 (自然科学版 ),2021,49(5):634-642.Shi Zhou,Ji Feng,Yu Wanqing,et al.Dynamic risk assessment of large bridge construction [J].Journal of Tongji University (Natural Science ),2021,49(5):634-642.
[17]Miao P Y.Prediction-based maintenance of existing bridges using neural network and sensitivity analysis [J].Advances in Civil Engineering,2021,2021:4598337.
[18]赵立财.温度效应对矮塔斜拉桥墩梁支撑体系的影响[J].深圳大学学报 (理工版 ),2024,41(5):635-642.Zhao Licai.Influence of temperature effects on the pylon-beam support system of cable-stayed bridges [J].Journal of Shenzhen University (Science and Engineering ),2024,41(5):635-642.
[19]Li Z,Burgueño R.Using soft computing to analyze inspection results for bridge evaluation and management[J].Journal of Bridge Engineering,2010,15(4):430-438.
[20]张启伟.大型桥梁健康监测概念与监测系统设计 [J].同济大学学报 (自然科学版 ),2001,29(1):65-69.Zhang Qiwei.Conception of long-span bridge health monitoring and monitoring system design [J].Journal of Tongji University,2001,29(1):65-69.
[21]Wang H,Zhang Y M,Mao J X,et al.Modeling and forecasting of temperature-induced strain of a long-span bridge using an improved Bayesian dynamic linear model[J].Engineering Structures,2019,192:220-232.
[22]陈国良,林训根,岳青,等.基于时间序列分析的桥梁长期挠度分离与预测 [J].同济大学学报 (自然科学版 ),2016,44(6):962-968.Chen Guoliang,Lin Xungen,Yue Qing,et al.Study on separation and forecast of long-term deflection based on time series analysis [J].Journal of Tongji University (Natural Science ),2016,44(6):962-968.
[23]Moghtaderi A,Flandrin P,Borgnat P.Trend filtering via empirical mode decompositions [J].Computational Statistics & Data Analysis,2013,58:114-126.
[24]刘涛,李爱群,丁幼亮.基于小波包能量谱的大跨斜拉桥拉索损伤预警方法 [J].东南大学学报 (自然科学版 ),2007,37(2):270-274.Liu Tao,Li Aiqun,Ding Youliang.Alarming method for cable damage of long-span cable-stayed bridges based on wavelet packet energy spectrum [J].Journal of Southeast University (Natural Science Edition ),2007,37(2):270-274.
[25]万熹,黄天立,陈华鹏.环境激励下基于改进经验小波变换的土木工程结构模态参数识别 [J].振动工程学报,2020,33(2):219-230.Wan Xi,Huang Tianli,Chen Huapeng.Improved empirical wavelet transform for modal parameters identification of civil engineering structures under ambient excitations [J].Journal of Vibration Engineering,2020,33(2):219-230.
[26]邓达,何博文,刘国坤.基于 RBFNN+ 改进粒子群算法的大跨度斜拉桥索力优化研究 [J].中外公路,2025,45(6):180-188.Deng Da,He Bowen,Liu Guokun.Research on cable force optimization of long-span cable-stayed bridges based on RBFNN+improved particle swarm optimization algorithm [J].Journal of China & Foreign Highway,2025,45(6):180-188.
[27]王伯惠.斜拉桥结构发展和中国经验 [M].上册.北京:人民交通出版社,2003.Wang Baihui.Structural development of cable-stayed bridges and China experience [M].part I.Beijing:China Communications Press,2003.
[28]林元培.斜拉桥 [M].北京:人民交通出版社,1994.Lin Yuanpei.Cable-stayed bridge [M].Beijing:China Communications Press,1994.
[29]陈孔亮,叶健新,徐郁峰,等.独塔混合梁斜拉桥参数灵敏度分析 [J].中外公路,2024,44(2):182-190.Chen Kongliang,Ye Jianxin,Xu Yufeng,et al.Parameter sensitivity analysis of single-tower cable-stayed bridge with mixed beam [J].Journal of China & Foreign Highway,2024,44(2):182-190.
[30]大连工学院数理力学系工程力学教研室.关于连续体结构数值计算的微分算子离散化方法 (一)[J].大连工学院学报,1973,13(1):7-30.Engineering Mechanics Teaching and Research Section,Department of Mathematics and Mechanics,Dalian Institute of Technology.Discretization method of differential operator for numerical calculation of continuum structure (Ⅰ) [J].Journal of Dalian University of Technology,1973,13(1):7-30.
[31]王孝铣.编译方法在数值计算程序设计中的应用 [J].华北地震科学,1984,2(2):59-64.WANG Xiaoxian.Application of compiling method in numerical calculation program design [J].North China Earthquake Sciences,1984,2(2):59-64.
[32]赵金城,王列东,关毅.三维非线性动力响应的理论分析和数值计算方法 [J].大连大学学报,1992,13(4):1-8.Zhao Jincheng,Wang Liedong,Guan Yi.Theoretical analysis and numerical method for 3D nonlinear transient response [J].Journal of Dalian University,1992,13(4):1-8.
[33]朱文海.大型有限元通用软件 ANSYS述评 [J].现代防御技术,1992,20(6):44-49.Zhu Wenhai.Review of large-scale finite element general software ANSYS [J].Modern Defense Technology,1992,20(6):44-49.
[34]华旭刚,陈政清,祝志文.在ANSYS中实现颤振时程分析的方法 [J].中国公路学报,2002,15(4):32-34.Hua Xugang,Chen Zhengqing,Zhu Zhiwen.Approach of time-history analysis of flutter in ANSYS [J].China Journal of Highway and Transport,2002,15(4):32-34.
[35]杨飞.钢管混凝土预应力斜拉桥仿真模拟与施工控制研究[D].西安:长安大学,2014.Yang Fei.Study on simulation and construction control of prestressed cable-stayed bridge with concrete-filled steel tube[D].Xi’an:Chang’an University,2014.
[36]胡佳.超大跨径部分地锚交叉索斜拉桥结构体系研究[D].长沙:湖南大学,2019.Hu Jia.Research on a structure system of super-span partial ground-anchored cable-stayed bridge with crossing stay cables [D].Changsha:Hunan University,2019.
[37]王永安,刘世同,谭红梅,等.斜拉桥索力优化理论研究[J].公路,2006 (5):31-34.Wang Yongan,Liu Shitong,Tan Hongmei,et al.Theoretical study on optimization of cable force in cable-stayed bridge [J].Highway,2006 (5):31-34.
[38]Yu B C,Gao S X,Gao C,et al.The determination of the problem of the cable-stayed bridge reasonable superpositioning optimization under the constant load state,basing on the unknown load coefficient method of Midas/civil [J].Applied Mechanics and Materials,2012,178/179/180/181:2081 -2084.
[39]Park D Y.A study for finding optimized cable forces of cable stayed bridge [J].Journal of the Korean Society for Advanced Composite Structures,2012,3(1):16-20.
[40]Guo J J,Yuan W C,Dang X Z,et al.Cable force optimization of a curved cable-stayed bridge with combined simulated annealing method and cubic B-spline interpolation curves [J].Engineering Structures,2019,201:109813.
[41]谢明志,魏昌辛,杨永清,等.高铁大跨矮塔斜拉桥施工控制研究及应用 [J].铁道工程学报,2018,35(9):35-41,48.Xie Mingzhi,Wei Changxin,Yang Yongqing,et al.Study and application of the construction control for long-span low-pylon cable-stayed bridge of high speed railway [J].Journal of Railway Engineering Society,2018,35(9):35-41,48.
[42]郑永红.天津南疆港预应力连续梁桥悬臂施工监控 [J].铁道工程学报,2009,26(10):47-50.Zheng Yonghong.Research on the construction control of cantilever of prestressed continuous bridge in Tianjin Nanjiang haven [J].Journal of Railway Engineering Society,2009,26(10):47-50.
[43]吴杰良,刘秀岭,王胜虎,等.杭台铁路椒江特大桥主桥施工监控 [J].桥梁建设,2022,52(2):126-133.Wu Jieliang,Liu Xiuling,Wang Shenghu,et al.Construction monitoring of main bridge of Jiaojiang River bridge of Hangzhou ‒ Taizhou railway [J].Bridge Construction,2022,52(2):126-133.
[44]谢明志,杨永清,卜一之,等.千米级混合梁斜拉桥双目标控制施工监控体系 [J].西南交通大学学报,2018,53(2):244-252,321.Xie Mingzhi,Yang Yongqing,Bu Yizhi,et al.Construction control system for thousand-meter-scale hybrid girder cable-stayed bridge based on double target control [J].Journal of Southwest Jiaotong University,2018,53(2):244-252,321.
[45]孙远,徐栋.基于空间梁格模型的异形斜拉桥体系转换施工模拟 [J].中国公路学报,2010,23(1):66-72.Sun Yuan,Xu Dong.System transformation construction simulation of specially-shaped cable-stayed bridges based on space girder model [J].China Journal of Highway and Transport,2010,23(1):66-72.
[46]胡跃,陈勇.贵溪大桥独斜塔无背索斜拉桥塔梁同步施工技术 [J].城市道桥与防洪,2012 (9):184-186,190.Hu Yue,Chen Yong.Synchronous construction technology of pylon and girder for single-skewed-pylon no-backstay cable-stayed bridge of Guixi bridge [J].Urban Roads Bridges & Flood Control,2012 (9):184-186,190.[47]蒋小奎.结合梁斜拉桥塔梁同步施工有关问题探讨 [J].城市道桥与防洪,2014 (8):188-190,202.Jiang Xiaokui.Discussion of issues in synchronous construction of pylon and girder of cable-stayed bridge [J].Urban Roads Bridges & Flood Control,2014 (8):188-190,202.
[48]顾箭峰,曾祥红.混合梁斜拉桥塔梁同步施工可行性分析[J].桥梁建设,2016,46(1):111-116.Gu Jianfeng,Zeng Xianghong.Feasibility analysis of synchronous construction of pylon and main girder of hybrid girder cable-stayed bridge [J].Bridge Construction,2016,46(1):111-116.
[49]董军,田川,刘殿元,等.大型斜拉桥施工过程中上塔柱整体临时存放后的主梁变形控制 [J].沈阳建筑大学学报(自然科学版 ),2016,32(3):395-403.Dong Jun,Tian Chuan,Liu Dianyuan,et al.Study on deformation control after upper pylon being laid on girder during construction of the large-scale cable-stayed bridge[J].Journal of Shenyang Jianzhu University (Natural Science ),2016,32(3):395-403.
[50]Furtner P,Enrique M.Stay cable bridge over the albertkanaal in belgium development of a stay cable damper,damping measurements & permanent monitoring of stay cables [C]//Symposium on the Dynamics and Aerodynamics of Cables,2014.
[51]秦顺全.分阶段施工桥梁的无应力状态控制法 [J].桥梁建设,2008,38(1):8-14.Qin Shunquan.Unstressed state control method for bridges constructed in stages [J].Bridge Construction,2008,38(1):8-14.
[52]但启联.基于无应力状态控制法的钢桁梁桥起拱研究[J].哈尔滨工程大学学报,2018,39(12):1941 -1946.Dan Qilian.Pre-camber setting of truss bridge based unstressed state control method [J].Journal of Harbin Engineering University,2018,39(12):1941 -1946.
[53]Tian W F,Zhou S X,Alghabsha A T S.Calculation of cable force for long-span rib arch bridge construction under seasonal ambient temperature [J].Advanced Materials Research,2011,378/379:341-344.
[54]刘殿元,向学建,齐铁东.基于无应力状态法的大节段安装斜拉桥施工控制研究 [J].公路交通科技,2017,34(S1):7-14.Liu Dianyuan,Xiang Xuejian,Qi Tiedong.Research on construction control to large segment installation cable-stayed bridge based on unstressed state method [J].Journal of Highway and Transportation Research and Development,2017,34(S1):7-14.
[55]康春霞,杜仕朝,邬晓光.斜拉桥合理施工状态计算方法对比分析研究 [J].铁道科学与工程学报,2017,14(1):87-93.Kang Chunxia,Du Shichao,Wu Xiaoguang.Discussion and comparative analysis on calculation method of reasonable construction state of cable stayed bridge [J].Journal of Railway Science and Engineering,2017,14(1):87-93.
[56]裴山,陈常松.嘉鱼长江公路大桥索塔应力及线形施工控制 [J].中外公路,2020,40(3):146-150.Pei Shan,Chen Changsong.Construction control of pylon stress and geometry control of Jiayu Yantze River highway bridge [J].Journal of China & Foreign Highway,2020,40(3):146-150.
[57]赵子龙,张栋.赤壁长江公路大桥钢 ‒混结合梁施工关键技术 [J].桥梁建设,2022,52(2):11-17.Zhao Zilong,Zhang Dong.Key construction techniques for steel ‒ concrete composite girder of Chibi Changjiang River highway bridge [J].Bridge Construction,2022,52(2):11-17.
[58]黄运林,杨聪,万和安,等.石首长江公路大桥宽幅短线预制混凝土箱梁横向受力有限元计算模型分析 [J].中外公路,2019,39(1):101-104.Huang Yunlin,Yang Cong,Wan Hean,et al.Finite element calculation model analysis of transverse force on wide short-line precast concrete box girder of Shishou Yangtze River highway bridge [J].Journal of China & Foreign Highway,2019,39(1):101-104.
[59]张文献,刘旭光,李东炜,等.斜拉桥成桥及施工阶段的索力优化 [J].东北大学学报 (自然科学版 ),2009,30(8):1201 -1204.Zhang Wenxian,Liu Xuguang,Li Dongwei,et al.Optimizing cable tension during construction and completion of a cable-stayed bridge [J].Journal of Northeastern University (Natural Science ),2009,30(8):1201 -1204.
[60]Virlogeux M.Recent evolution of cable-stayed bridges [J].Engineering Structures,1999,21(8):737-755.
[61]杜蓬娟,黄才良,张哲,等.公和斜拉桥施工控制 [J].大连理工大学学报,2003,43(6):783-786.Du Pengjuan,Huang Cailiang,Zhang Zhe,et al.Construction monitoring and controlling of Gonghe cable-stayed bridge [J].Journal of Dalian University of Technology,2003,43(6):783-786.
[62]Nazmy A S,Abdel-ghaffar A M.Three-dimensional nonlinear static analysis of cable-stayed bridges [J].Computers & Structures,1990,34(2):257-271.
[63]Lounis Z,Cohn M Z.An engineering approach to multicriteria optimization of bridge structures [J].Computer-Aided Civil and Infrastructure Engineering,1995,10(4):233-238.
[64]张玉平,刘雪松,李传习.基于 MOPSO 算法的斜拉桥索力优化分析 [J].土木与环境工程学报 (中英文 ),2020,42(2):107-114.Zhang Yuping,Liu Xuesong,Li Chuanxi.Optimization of cable tension of cable-stayed bridges based on multi-objective particle swarm optimization algorithm [J].Journal of Civil and Environmental Engineering,2020,42(2):107-114.
[65]Ha M H,Vu Q A,Truong V H.Optimum design of stay cables of steel cable-stayed bridges using nonlinear inelastic analysis and genetic algorithm [J].Structures,2018,16:288-302.[66]Asgari B,Osman S A,Adnan A.A new multiconstraint method for determining the optimal cable stresses in cable-stayed bridges [J].The Scientific World Journal,2014,2014 (1):503016.
[67]Song C L,Xiao R C,Sun B.Optimization of cable pre-tension forces in long-span cable-stayed bridges considering the counterweight [J].Engineering Structures,2018,172:919-928.
[68]Asgari B,Osman S A,Bin Adnan A.Optimization of pre-tensioning cable forces in highly redundant cable-stayed bridges [J].International Journal of Structural Stability and Dynamics,2015,15(1):1540005.
[69]淡丹辉,杨通.基于影响矩阵及粒子群算法的斜拉桥自动调索 [J].同济大学学报 (自然科学版 ),2013,41(3):355-360.Dan Danhui,Yang Tong.Automatic cable force adjustment for cable stayed bridge based on influence matrix and particle swarm optimization algorithm [J].Journal of Tongji University (Natural Science ),2013,41(3):355-360.
[70]占玉林,侯之瑶,邵俊虎,等.基于响应面法及粒子群算法的异形斜拉桥索力优化 [J].桥梁建设,2022,52(3):16-23.Zhan Yulin,Hou Zhiyao,Shao Junhu,et al.Cable force optimization of irregular cable-stayed bridge based on response surface method and particle swarm optimization algorithm [J].Bridge Construction,2022,52(3):16-23.
[71]朱利明，陈沁宇，刘大帅.基于综合优化法的矮塔斜拉桥成桥索力优化 [J].世界桥梁，2024，52（2）：88-93.Zhu Liming,Chen Qinyu,Liu Dashuai.Stay cable tension optimization for completed extradosed bridge based on comprehensive optimization method [J].World Bridges,2024,52(2):88-93.
[72]Zhong R M,Zong Z H,Liu Q Q,et al.A multiscale finite element model validation method of composite cable-stayed bridge based on structural health monitoring system[J].Shock and Vibration,2015,2015 (1):817281.
[73]Shan D S,Yan P,Wang Z H.Intelligent health monitoring system for a railway cable-stayed bridge [J].Advanced Materials Research,2010,148/149:1390 -1393.
[74]肖祥,鄢宇,何佳,等.大跨度斜拉桥多尺度有限元模型及其修正 [J].华中科技大学学报 (自然科学版 ),2017,45(6):120-127.Xiao Xiang,Yan Yu,He Jia,et al.Multi-scale finite element modeling and model updating of long span cable-stayed bridge [J].Journal of Huazhong University of Science and Technology (Nature Science Edition ),2017,45(6):120-127.
[75]Wang C.Overview of integrated health monitoring system installed on cable-stayed bridge and preliminary analysis of results [J].Građevinar,2021,73(6):591-604.
[76]Chen B,Wang X,Sun D Z,et al.Integrated system of structural health monitoring and intelligent management for a cable-stayed bridge [J].The Scientific World Journal,2014,2014 (1):689471.
[77]Yang O,Zhou L,Ou J.Design and analysis of laboratorial health monitoring model of long-span cable-stayed bridges [C]// International Conference on Vibration Engineering,2008.
[78]李爱群,缪长青,李兆霞,等.润扬长江大桥结构健康监测系统研究 [J].东南大学学报 (自然科学版 ),2003,33(5):544-548.Li Aiqun,Miao Changqing,Li Zhaoxia,et al.Health monitoring system for the Runyang Yangtse River bridge[J].Journal of Southeast University (Natural Science Edition ),2003,33(5):544-548.
[79]Brownjohn J M W,Moyo P,Omenzetter P,et al.Lessons from monitoring the performance of highway bridges [J].Structural Control and Health Monitoring,2005,12(3/4):227-244.
[80]Mehrabi A B.In-service evaluation of cable-stayed bridges,overview of available methods and findings [J].Journal of Bridge Engineering,2006,11(6):716-724.
[81]Jang S,Dahal S,Contreras G K,et al.Hybrid structural health monitoring for in-service highway bridges using wireless multiscale sensors [J].Sensors and Smart Structures Technologies for Civil,Mechanical,and Aerospace Systems 2012,2012,8345:83451 Y.
[82]Smarsly K,Lehner K,Hartmann D.Structural health monitoring based on artificial intelligence techniques [C]//Computing in Civil Engineering (2007 ).Pittsburgh,Pennsylvania,USA.American Society of Civil Engineers,2007:111-118.
[83]Lynch J P.Design of a wireless active sensing unit for localized structural health monitoring [J].Structural Control and Health Monitoring,2005,12(3/4):405-423.
[84]袁慎芳,梁栋,高宁,等.基于结构健康监测系统的桥梁数据异常诊断研究 [J].电子科技大学学报,2013,42(1):69-74.Yuan Shenfang,Liang Dong,Gao Ning,et al.The bridge data diagnosis research based on structural health monitoring system [J].Journal of University of Electronic Science and Technology of China,2013,42(1):69-74.
[85]宋晓东,崔珊珊,熊文,等.基于健康监测的斜拉桥恒载索力提取与评估 [J].东南大学学报 (自然科学版 ),2020,50(6):1102 -1108.Song Xiaodong,Cui Shanshan,Xiong Wen,et al.Extraction and evaluation of dead load cable forces in cable-stayed bridges based on structural health monitoring[J].Journal of Southeast University (Natural Science Edition ),2020,50(6):1102 -1108.
[86]施洲,蒲黔辉,岳青,等.大型公铁两用斜拉桥健康监测数据的时域峰值统计及频域融合处理 [J].中国铁道科学,2017,38(2):55-63.Shi Zhou,Pu Qianhui,Yue Qing,et al.Peak statistics in time domain and fusion processing in frequency domain for health monitoring data of large-scale highway-railway cable-stayed bridge [J].China Railway Science,2017,38(2):55-63.
[87]李惠,欧进萍.斜拉桥结构健康监测系统的设计与实现(Ⅰ):系统设计 [J].土木工程学报,2006,39(4):39-44.Li Hui,Ou Jinping.Design and implementation of health monitoring systems for cable-stayed bridges (Ⅰ):Design methods [J].China Civil Engineering Journal,2006,39(4):39-44.
[88]麻凤海,王其,闫盼.盾构隧道近距离侧穿立交桥桩基的变 形 影 响 分 析 [J].城 市 轨 道 交 通 研 究,2024,27(9):58-64.Ma Fenghai,Wang Qi,Yan Pan.Deformation effect analysis of shield tunnel closely side-passing viaduct pile foundation [J].Urban Mass Transit,2024,27(9):58-64.
[89]单德山,王振华,李乔.大跨度铁路钢桁斜拉桥传感器优化布置 [J].土木建筑与环境工程,2011 (增刊 1):156-160.Shan Deshan,Wang Zhenhua,Li Qiao.Optimal sensors placement for long-span railway steel truss cable-stayed bridge [J].Journal of Civil,Architectural & Environment Engineering,2011 (S1):156-160.
[90]郑荣跃,许凯明,唐国金,等.斜拉桥监测系统传感器位置的寻优 [J].国防科技大学学报,2005,27(2):107-110.Zheng Rongyue,Xu Kaiming,Tang Guojin,et al.Optimum algorithm for the sensor placement on the structure monitoring system of cable-stayed bridge [J].Journal of National University of Defense Technology,2005,27(2):107-110.
[91]严鹏,李乔,单德山.斜拉桥健康监测信号改进小波相关降噪 [J].振动、测试与诊断,2012,32(2):317-322,348.Yan Peng,Li Qiao,Shan Deshan.Improved wavelet correlation de-noising on cable-stayed bridge health monitoring signal [J].Journal of Vibration,Measurement & Diagnosis,2012,32(2):317-322,348.
[92]王凌波,王秋玲,朱钊,等.桥梁健康监测技术研究现状及展望 [J].中国公路学报,2021,34(12):25-45.Wang Lingbo,Wang Qiuling,Zhu Zhao,et al.Current status and prospects of research on bridge health monitoring technology [J].China Journal of Highway and Transport,2021,34(12):25-45.
[93]Lute V,Upadhyay A,Singh K K.Support vector machine based aerodynamic analysis of cable stayed bridges [J].Advances in Engineering Software,2009,40(9):830-835.
[94]赵世英,李延强.基于粒子群优化支持向量机的斜拉桥主梁损伤识别研究 [J].石家庄铁道大学学报 (自然科学版),2015,28(1):17-21.Zhao Shiying,Li Yanqian.Damage identification of cable-stayed bridge main girder based on particle swarm optimization support vector machine [J].Journal of Shijiazhuang Tiedao University (Natural Science Edition ),2015,28(1):17-21.
[95]Tan D M,Qu W L,Zhang J B,et al.Damage diagnosis of cable of large span cable-stayed bridge based on the support vector machine [J].Applied Mechanics and Materials,2012,190/191:958-961.
[96]Xie X Y,Yan X P.Cable tension prediction of Hongfeng Lake cable-stayed bridge using BP neural network [C]//2008 2nd International Conference on Anti-counterfeiting,Security and Identification.Guiyang,China.IEEE,2008:18-21.
[97]Hassan M M.Optimization of stay cables in cable-stayed bridges using finite element,genetic algorithm,and B-spline combined technique [J].Engineering Structures,2013,49:643-654.
[98]Zarbaf S E,Norouzi M,Allemang R J,et al.Stay cable tension estimation of cable-stayed bridges using genetic algorithm and particle swarm optimization [J].Journal of Bridge Engineering,2017,22(10):05017008.
[99]雷俊卿,霍永生.用神经网络分析估计斜拉桥的施工控制参数 [J].中国铁道科学,2005,26(3):22-25.Lei Junqing,Huo Yongsheng.Analyzing and estimating the parameters of cable-stayed bridge for construction control by using neural network [J].China Railway Science,2005,26(3):22-25.
[100]孙全胜,吴桐.BP神经网络法在斜拉桥换索施工控制中的应用研究 [J].中国安全科学学报,2010,20(7):21-25.Sun Quansheng,Wu Tong.Application of BP neural network in the cable-replacing construction control of cable-stayed bridge [J].China Safety Science Journal,2010,20(7):21-25.
[101]王京杭,黄晓航.重庆李渡长江大桥斜拉桥施工监控 [J].桥梁建设,2006 (增刊 2):176-179.Wang Jinghang,Huang Xiaohang.Construction monitoring of cable-stayed bridge of Lidu Changjiang River bridge in Chongqing [J].Bridge Construction,2006(S2):176-179.
[102]Cheng M Y,Hoang N D.Risk score inference for bridge maintenance project using evolutionary fuzzy least squares support vector machine [J].Journal of Computing in Civil Engineering,2014,28(3):04014003.
[103]Liu H B,Jiao Y B.Application of genetic algorithm-support vector machine (GA-SVM ) for damage identification of bridge [J].International Journal of Computational Intelligence and Applications,2011,10(4):383-397.
[104]Ren J Y,Zhang B,Zhu X Q,et al.Damaged cable identification in cable-stayed bridge from bridge deck strain measurements using support vector machine [J].Advances in Structural Engineering,2022,25(4):754-771.
[105]Shirzad-Ghaleroudkhani N,Gül M.A crowdsensing-based framework for indirect bridge monitoring using mel-frequency cepstral analysis considering elimination of operational effects [J].Journal of Structural Engineering,2024,150:04023189.
[106]Dalvi A V.Performance of one-class support vector machine (SVM ) in detection of anomalies in the bridge data[D].Cincinnati:University of Cincinnati,2017.
[107]Feng C W,Ju S H,Huang H Y.Using a simple soil spring model and support vector machine to determine bridge scour depth and bridge safety [J].Journal of Performance of Constructed Facilities,2016,30(4):04015088.
[108]陈振宇,谢波,鲁乃唯.基于深度置信网络的缆索桥梁结构 体 系 可 靠 度 分 析 方 法 [J].中 外 公 路,2025,45(3):96-102.Chen Zhenyu,Xie Bo,Lu Naiwei.Structural system reliability analysis method for cable-supported bridges based on deep belief networks [J].Journal of China & Foreign Highway,2025,45(3):96-102.
[109]Lyu Z J,Xiang Q,Yang J G.Application of genetic algorithm-support vector machine for prediction of spinning quality [J].Lecture Notes in Engineering and Computer Science,2011,2191 (1):1033 -1038.
[110]王二涛,高惠瑛,孙海,等.基于 PSO-SVM 的城市桥梁群体震害预测模型研究 [J].震灾防御技术,2017,12(1):185-193.Wang Ertao,Gao Huiying,Sun Hai,et al.Study on seismic damage prediction model of urban bridges group based on PSO-SVM [J].Technology for Earthquake Disaster Prevention,2017,12(1):185-193.
[111]肖行辉,高惠瑛,孙海,等.基于最小二乘支持向量机的城市桥梁震害预测模型研究 [J].震灾防御技术,2016,11(1):93-99.Xiao Xinghui,Gao Huiying,Sun Hai,et al.Prediction model of urban bridge seismic damage based on least squares support vector machine [J].Technology for Earthquake Disaster Prevention,2016,11(1):93-99.
[112]吴登国,黄宴委,陈少斌,等.基于支持向量机的桥梁应变噪声数据重构 [J].福州大学学报 (自然科学版 ),2010,38(6):871-876.Wu Dengguo,Huang Yanwei,Chen Shaobin,et al.Noise strain reconstruction based on support vector machine in bridge [J].Journal of Fuzhou University (Natural Science Edition ),2010,38(6):871-876.
[113]Pinar E,Paydas K,Seckin G,et al.Artificial neural network approaches for prediction of backwater through arched bridge constrictions [J].Advances in Engineering Software,2010,41(4):627-635.
[114]陈哲衡,汪四清,许在彪.基于神经网络和遗传算法的大跨度 PC斜拉桥参数识别研究 [J].特种结构,2010,27(6):70-73.Chen Zheheng,Wang Siqing,Xu Zaibiao.Identification of parameters for long-span PC cable-stayed bridge based on neural network and genetic algorithms [J].Special Structures,2010,27(6):70-73.
[115]Li Y S,Li X P,Yang A P.The prediction method of long-span cable-stayed bridge construction control based on BP neural network [C]//Proceedings of the 9th WSEAS International Conference on Mathematical and Computational Methods in Science and Engineering.Trinidad and Tobago.ACM,2007:217-222.
[116]李传习,刘扬,张建仁.基于人工神经网络的混凝土大跨度桥梁主梁参数实时估计 [J].中国公路学报,2001,14(3):62-66.Li Chuanxi,Liu Yang,Zhang Jianren.Real-time identification of girder parameters for long-span concrete bridges based on neural network [J].China Journal of Highway and Transport,2001,14(3):62-66.
[117]陈德伟,王小同,陈文云,等.斜拉桥施工控制可视化软件[J].同济大学学报 (自然科学版 ),1998,26(4):433.Chen Dewei,Wang Xiaotong,Chen Wenyun,et al.Visualized construction control system for cable-stayed bridges [J].Journal of Tongji University,1998,26(4):433.
[118]官万轶,韩大建.大跨度斜拉桥施工控制方法研究进展[J].华 南 理 工 大 学 学 报 (自 然 科 学 版 ),1999,27(11):14-19.Guan Wanyi,Han Dajian.Progress in the construction control methods for long-span cable-stayed bridges [J].Journal of South China University of Technology (Natural Science Edition ),1999,27(11):14-19.
[119]张振海,季坤,党建武.基于桥梁裂缝识别模型的桥梁裂缝病害识别方法 [J].吉林大学学报 (工学版 ),2023,53(5):1418 -1426.Zhang Zhenhai,Ji Kun,Dang Jianwu.Crack identification method for bridge based on BCEM model [J].Journal of Jilin University (Engineering and Technology Edition ),2023,53(5):1418 -1426.
[120]Jiang W B,Liu M,Peng Y N,et al.HDCB-net:A neural network with the hybrid dilated convolution for pixel-level crack detection on concrete bridges [J].IEEE Transactions on Industrial Informatics,2021,17(8):5485 -5494.
[121]Manjurul Islam M M,Kim J M.Vision-based autonomous crack detection of concrete structures using a fully convolutional encoder –decoder network [J].Sensors,2019,19(19):4251.
[122]Zou Q,Zhang Z,Li Q Q,et al.DeepCrack:Learning hierarchical convolutional features for crack detection [J].IEEE Transactions on Image Processing,2019,28(3):1498 -1512.
[123]鞠翰文,邓扬,李爱群.桥梁结构挠度 ‒温度 ‒车辆荷载监测数据相关性模型 [J].振动与冲击,2023,42(6):79-89.Ju Hanwen,Deng Yang,Li Aiqun.Correlation model of deflection-temperature-vehicle load monitoring data for bridge structures [J].Journal of Vibration and Shock,2023,42(6):79-89.
[124]Cai C C,Liu H L,Tao Y,et al.Microgrid equivalent modeling based on long short-term memory neural network [J].IEEE Access,2020,8:23120 -23133.
[125]Zhao H W,Ding Y L,Li A Q,et al.Digital modeling on the nonlinear mapping between multi-source monitoring data of in-service bridges [J].Structural Control and Health Monitoring,2020,27(11):e2618.
[126]Yang D H,Yi T H,Li H N,et al.Correlation-based estimation method for cable-stayed bridge girder deflection variability under thermal action [J].Journal of Performance of Constructed Facilities,2018,32(5):04018070.
[127]何浩祥,王玮,黄磊.基于卷积神经网络和递归图的桥梁损伤智能识别 [J].应用基础与工程科学学报,2020,28(4):966-980.He Haoxiang,Wang Wei,Huang Lei.Intelligent damage detection for bridge based on convolution neural network and recurrence plot [J].Journal of Basic Science and Engineering,2020,28(4):966-980.[128]金虎,楼文娟,陈勇.基于自适应 BP神经网络的桥梁结构荷载识别 [J].浙江大学学报 (工学版 ),2005,39(10):1596 -1602.Jin Hu,Lou Wenjuan,Chen Yong.Load identification for bridge structures based on self-adaptive BP neural networks [J].Journal of Zhejiang University (Engineering Science ),2005,39(10):1596 -1602.
[129]Ma Y F,Wang L,Zhang J R,et al.Bridge remaining strength prediction integrated with Bayesian network and in situ load testing [J].Journal of Bridge Engineering,2014,19(10):04014037.
[130]陈小佳,沈成武.既有桥梁的贝叶斯网络评估方法 [J].武汉理工大学学报 (交通科学与工程版 ),2006,30(1):132-135.Chen Xiaojia,Shen Chengwu.An inferential way for evaluation of bridge based on Bayesian network [J].Journal of Wuhan University of Technology (Transportation Science & Engineering ),2006,30(1):132-135.
[131]Chen T T,Wang C H.Fall risk assessment of bridge construction using Bayesian network transferring from fault tree analysis [J].Journal of Civil Engineering and Management,2017,23(2):273-282.
[132]Chen T T,Leu S S.Fall risk assessment of cantilever bridge projects using Bayesian network [J].Safety Science,2014,70:161-171.
[133]Pierre G,Dina D A.Derivation of bridge functionality loss curves for the resilience analysis of a road network exposed to seismic risk [C]//First International Workshop on Resilience,2016.
[134]Semakula H M,Song G B,Achuu S P,et al.A Bayesian belief network modelling of household factors influencing the risk of malaria:A study of parasitaemia in children under five years of age in sub-Saharan Africa [J].Environmental Modelling & Software,2016,75:59-67.
[135]戴理朝,康哲,陈瑞,等.基于 NSGA- Ⅲ的桥梁网络多目标维修决策优化研究 [J].土木工程学报,2024,57(5):41-52.Dai Lizhao,Kang Zhe,Chen Rui,et al.Study on multi-objective maintenance decision optimization for bridge networks based on NSGA- Ⅲ[J].China Civil Engineering Journal,2024,57(5):41-52.
[136]占玉林,许江辉,许俊,等.基于响应面法和粒子群算法的桥梁高耸临时提升支架优化 [J].中国铁道科学,2022,43(6):39-46.Zhan Yulin,XU Jianghui,XU Jun,et al.Optimization of bridge high temporary lifting support based on response surface method and particle swarm algorithm [J].China Railway Science,2022,43(6):39-46.
[137]《中国公路学报 》编辑部.中国桥梁工程学术研究综述·2021 [J].中国公路学报,2021,34(2):1-97.Editorial Department of China Journal of Highway and Transport.Review on China ’s bridge engineering research:2021 [J].China Journal of Highway and Transport,2021,34(2):1-97.
[138]Yang H,Li X,Du Y,et al.Accelerometer static state detection (SSD )-assisted GNSS/accelerometer bridge monitoring algorithm [J].Measurement Science and Technology,2024,35(10):106309.
[139]高岳林,杨钦文,王晓峰,等.新型群体智能优化算法综述[J].郑州大学学报 (工学版 ),2022,43(3):21-30.Gao Yuelin,Yang Qinwen,Wang Xiaofeng,et al.Overview of new swarm intelligent optimization algorithms [J].Journal of Zhengzhou University (Engineering Science ),2022,43(3):21-30.
[140]Qu W L,Wang Y,Pi Y L.Multi-axle moving train loads identification on simply supported bridge by using simulated annealing genetic algorithm [J].International Journal of Structural Stability and Dynamics,2011,11(1):57-71.
[141]Rangelvaldez N,Brachor J,Quizramos P.Problem and algorithm fine-tuning:A case of study using bridge club and simulated annealing [C]//Proceedings of the International Joint Conference on Computational Intelligence,2009:302-305.
[142]Zhang Y G , Zhang K , Zhou Y B , et al . Common mode current suppression in full-bridge converter based on simulated annealing algorithm [C]//2006 CES/IEEE 5th International Power Electronics and Motion Control Conference . Shanghai , China . IEEE , 2009 : 1-5.
[143]刘寒冰 , 吴春利 , 程永春 . 不同适应度函数的遗传算法在桥梁结构传感器布设中的应用 [J]. 吉林大学学报 (工学版), 2012 , 42(1): 51-56.Liu Hanbing , Wu Chunli , Cheng Yongchun . Sensor placement on bridge structure based on genetic algorithms with different fitness functions [J]. Journal of Jilin University (Eng and Technol Ed ), 2012 , 42(1): 51-56.
[144]黄民水 , 朱宏平 , 李炜明 . 基于改进遗传算法的桥梁结构传感器优化布置 [J]. 振动与冲击 , 2008 , 27(3): 82-86, 181-182.Huang Minshui , Zhu Hongping , Li Weiming . Optimal sensor placement on bridge structure based on genetic algorithm [J]. Journal of Vibration and Shock , 2008 , 27(3): 82-86, 181-182.
[145]王晓明 , 贺耀北 , 李瑜 , 等. 基于并行 NSGA- Ⅱ算法的桥梁网络养护策略优化 [J]. 土木工程学报 , 2012 , 45(1): 86-91.Wang Xiaoming , He Yaobei , Li Yu , et al . Optimization of maintenance strategy for bridge networks using parallel NSGA- Ⅱ algorithm [J]. China Civil Engineering Journal , 2012 , 45(1): 86-91.
[146]Kim I , Fard M Y , Chattopadhyay A . Investigation of a bridge pier scour prediction model for safe design and inspection [J]. Journal of Bridge Engineering , 2015 , 20(6): 04014088 .
[147]Liu H B , Wang X Q , Jiao Y B . Damage identification for irregular-shaped bridge based on fuzzy C-means clustering improved by particle swarm optimization algorithm [J]. Journal of Vibroengineering , 2016 , 18(4): 2149 -2166 .[148]He S , Prempain E , Wu Q H . An improved particle swarm optimizer for mechanical design optimization problems
[J]. Engineering Optimization , 2004 , 36(5): 585-605.
[149]陈哲衡 , 丁汉山 . 基于遗传 ‒最小二乘支持向量机的 PC斜拉桥标高误差预测 [J]. 工业建筑 , 2010 , 40(S1): 296-299, 224.Chen Zheheng , Ding Hanshan . The elevation error forecasting of PC cable-stayed bridge based on genetic algorithm and least squares support vector machines [J]. Industrial Construction , 2010 , 40(S1): 296-299, 224.
[150]陈哲衡 , 汪四清 , 丁汉山 . 基于 GA-SVM 优化方法的 PC斜 拉 桥 线 形 控 制 分 析 [J]. 中 外 公 路 , 2010 , 30(6): 100-103.Chen Zheheng , Wang Siqing , Ding Hanshan . Linear control analysis of PC cable-stayed bridge based on GA-SVM optimization method [J]. Journal of China & Foreign Highway , 2010 , 30(6): 100-103.
[151]Cheng X X . Model updating for a continuous concrete girder bridge using data from construction monitoring [J]. Applied Sciences , 2023 , 13(6): 3422 .
[152]段君邦 , 王华 , 郝天之 , 等. 基于改进灰狼算法和支持向量机的拱桥索力优化模型 [J]. 计算机工程与设计 , 2023 , 44(2): 457-465.Duan Junbang , Wang Hua , Hao Tianzhi , et al . Optimal model of arch bridge cable force based on improved grey wolf algorithm and support vector machine [J]. Computer Engineering and Design , 2023 , 44(2): 457-465.
[153]廖宇芳 , 刘斌 , 于孟生 , 等. 基于 IGOA-ELM 的拱桥多节段吊装扣挂施工线形预测方法 [J]. 公路交通科技 , 2022 , 39(11): 95-105.Liao Yufang , Liu Bin , Yu Mengsheng , et al . A method for predicting geometric shape in arch bridge multi-segment hoisting and buckling construction based on IGOA-ELM
[J]. Journal of Highway and Transportation Research and Development , 2022 , 39(11): 95-105.
[154]张笑华 , 吴圣斌 , 方圣恩 , 等. 采用 Pareto人工鱼群算法的结构健康监测传感器位置多目标优化 [J]. 振动工程学报, 2022 , 35(2): 351-358.Zhang Xiaohua , Wu Shengbin , Fang Sheng ’en, et al . Multi-objective sensor optimal placement for structural health monitoring based on Pareto artificial fish swarm algorithm [J]. Journal of Vibration Engineering , 2022 , 35(2): 351-358.
[155]高博 , 柏智会 , 宋宇博 . 基于自适应引力算法的桥梁监测传 感 器 优 化 布 置 [J]. 振 动 与 冲 击 , 2021 , 40(6): 86-92, 189.Gao Bo , Bai Zhihui , Song Yubo . Optimal placement of sensors in bridge monitoring based on an adaptive gravity search algorithm [J]. Journal of Vibration and Shock , 2021 , 40(6): 86-92, 189.
[156]张安安 , 吴翔 . 基于 IQPSO的桥梁传感器优化布置 [J]. 计算机应用与软件 , 2021 , 38(4): 43-47, 57.Zhang An ’an, Wu Xiang . Optimal placement of bridge sensors based on IQPSO [J]. Computer Applications and Software , 2021 , 38(4): 43-47, 57.当前PDF页码为:第160页,总页数:286页2026年 中 外 公 路
[157]杨雅勋 , 郝宪武, 孙磊 . 基于能量系数 ‒有效独立法的桥梁结构传感器优化布置 [J]. 振动与冲击 , 2010 , 29(11): 119-123, 134.Yang Yaxun , Hao Xianwu , Sun Lei . Optimal placement of sensors for a bridge structure based on energy coefficient-effective independence method [J]. Journal of Vibration and Shock , 2010 , 29(11): 119-123, 134.
[158]袁爱民 , 戴航 , 孙大松 . 基于 EI及MAC混合算法的斜拉桥传感器优化布置 [J]. 振动、测试与诊断 , 2009 , 29(1): 55-59.Yuan Aimin , Dai Hang , Sun Dasong . Optimal sensor placement of cable-stayed bridge using mixed algorithm based on effective independence and modal assurance criterion methods [J]. Journal of Vibration , Measurement & Diagnosis , 2009 , 29(1): 55-59.
[159]张政华 , 毕丹 , 李兆霞 . 基于结构多尺度模拟和分析的大跨斜拉桥应变监测传感器优化布置研究 [J]. 工程力学 , 2009 , 26(1): 142-148.Zhang Zhenghua , Bi Dan , Li Zhaoxia . Research on optimal placement of strain sensors in deck of cable-stayed bridges based on multi-scale modeling and analysis
[J]. Engineering Mechanics , 2009 , 26(1): 142-148.
[160]马广 , 黄方林 , 王学敏 . 基于混合遗传算法的桥梁监测传感器优化布置 [J]. 振动工程学报 , 2008 , 21(2): 191-196.Ma Guang , Huang Fanglin , Wang Xuemin . Optimal placement of sensors in monitoring for bridge based on hybrid genetic algorithm [J]. Journal of Vibration Engineering , 2008 , 21(2): 191-196.
[161]姚昌荣 , 李亚东 . 小波包变换频率混淆的消除及其在桥梁健康监测中的应用 [J]. 中国铁道科学 , 2008 , 29(5): 58-64.Yao Changrong , Li Yadong . Frequency aliasing improvement of wavelet packet transform and its application in bridge health monitoring [J]. China Railway Science , 2008 , 29(5): 58-64.
[162]刘洋 , 刘冲 , 王丽霞 . 基于小波包变换的框架剪力墙结构健康监测研究 [J]. 工业建筑 , 2022 , 52(10): 211-218.Liu Yang , Liu Chong , Wang Lixia . Research on health monitoring of frame shear wall structures based on wavelet packet transform [J]. Industrial Construction , 2022 , 52(10): 211-218.
[163]Skariah A , Pradeep R , Rejith R , et al . Health monitoring of rolling element bearings using improved wavelet cross spectrum technique and support vector machines [J]. Tribology International , 2021 , 154: 106650 .
[164]熊春宝 , 王猛 , 于丽娜 . 桥梁 GNSS-RTK 变形监测数据的多滤波联合去噪处理 [J]. 测绘通报 , 2020 (7): 93-96, 142.Xiong Chunbao , Wang Men g, Yu Lina . Multi-filtering and joint denoising of bridge deformation data monitored by GNSS-RTK [J]. Bulletin of Surveying and Mapping , 2020(7): 93-96, 142.
[165]熊春宝 , 于丽娜 , 常翔宇 . 基于 EEMD-小波阈值去噪的桥梁结构模态参数识别 [J]. 天津大学学报 , 2020 , 53(4): 378-385.Xiong Chunbao , Yu Lina , Chang Xiangyu . Modal parameter identification of bridge structures based on EEMD-wavelet threshold denoising [J]. Journal of Tianjin University , 2020 , 53(4): 378-385.
[166]陈永高 , 钟振宇 . 基于改进 EEMD算法的桥梁结构响应信号模态分解研究 [J]. 振动与冲击 , 2019 , 38(10): 23-30.Chen Yonggao , Zhong Zhenyu . Modal decomposition of response signals for a bridge structure based on the improved EEMD [J]. Journal of Vibration and Shock , 2019 , 38(10): 23-30.
[167]朴春慧 , 冀梅梅 , 张志国 , 等. 基于 CNN-LSTM 深度学习的列车荷载与桥面系局部健康状态识别研究 [J]. 铁道学报, 2022 , 44(8): 135-145.Piao Chunhui , Ji Meimei , Zhang Zhiguo , et al . Research on recognition of train load and local health status of bridge deck system based on CNN-LSTM deep learning
[J]. Journal of the China Railway Society , 2022 , 44(8): 135-145.
[168]Ni F T , Zhang J , Noori M N . Deep learning for data anomaly detection and data compression of a long-span suspension bridge [J]. Computer-Aided Civil and Infrastructure Engineering , 2020 , 35(7): 685-700.
[169]Guo A P , Jiang A J , Lin J , et al . Data mining algorithms for bridge health monitoring : Kohonen clustering and LSTM prediction approaches [J]. The Journal of Supercomputing , 2020 , 76(2): 932-947.
[170]Liu J W , Li Q , Chen W R , et al . Remaining useful life prediction of PEMFC based on long short-term memory recurrent neural networks [J]. International Journal of Hydrogen Energy , 2019 , 44(11): 5470 -5480 .
[171]Zhang W , Peng G L , Li C H , et al . A new deep learning model for fault diagnosis with good anti-noise and domain adaptation ability on raw vibration signals [J]. Sensors , 2017 , 17(2): 425.
[172]孙利民 , 尚志强 , 夏烨 . 大数据背景下的桥梁结构健康监测研究现状与展望 [J]. 中国公路学报 , 2019 , 32(11): 1-20.Sun Limin , Shang Zhiqiang , Xia Ye . Development and prospect of bridge structural health monitoring in the context of big data [J]. China Journal of Highway and Transport , 2019 , 32(11): 1-20.

Download

Share

COinS