连续梁桥影响线识别与承载能力快速评估试验研究

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振动与冲击 ›› 2024, Vol. 43 ›› Issue (7) : 334-344.

论文

周宇1,2,3，尚稳齐1,2，狄生奎3，郑旭4，贺文宇5

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Test study on influence line identification and load-bearing capacity rapid evaluation for continuous girder bridge

ZHOU Yu1,2,3, SHANG Wenqi1,2, DI Shengkui3, ZHENG Xu4, HE Wenyu5

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文章历史 +

摘要

针对桥梁静载试验过程存在的重载静置、交通阻误等问题，利用桥梁影响线具有完整反映结构各截面抗弯刚度的优势，提出一种基于影响线的桥梁承载能力快速评估方法。该方法仅利用单辆重车移动加载获取包含桥梁影响线信息、结构动力成分和车辆多轴效应的桥梁时程响应，首先采用变分模态分解剥离桥梁时程响应中的动力成分；其次根据采样频率及车辆轴距构建桥梁影响线识别数学模型，从而剔除桥梁时程响应中的车辆多轴效应，利用Tikhonov正则化解得桥梁影响线的稳定解；然后通过在桥梁影响线上开展虚拟加载，重构桥梁虚拟静力响应，并采用传统校验系数法评价桥梁承载能力。通过三跨变截面连续梁桥数值算例验证影响线识别方法的有效性，建立误差指标定量评价影响线识别结果的准确性，从而对某三跨连续钢混组合梁桥开展静载试验与承载能力快速评估试验研究，在预设车道实施车辆移动加载，识别桥梁中跨跨中截面挠度、应变影响线，进而开展虚拟加载研究，进一步验证所提承载能力快速评估方法的可行性与实用性，为桥梁承载能力“轻量化”快速筛检提供方法支撑与案例借鉴。

Abstract

Aiming at the problems of heavy load standing and traffic obstruction in the process of bridge static load test, a rapid evaluation method of bridge bearing capacity based on influence line is proposed by taking advantage of the bridge influence line to completely reflect the bending stiffness of each section of the structure. In this method, the bridge time history response including bridge influence line information, structural dynamic components and vehicle multiaxial effect is obtained by using the mobile loading of a single heavy vehicle, and the dynamic components in the bridge time history response are first stripped by variational mode decomposition. Secondly, a mathematical model of bridge influence line recognition is constructed according to the sampling frequency and vehicle wheelbase, so as to eliminate the vehicle multi-axis effect in the bridge time history response, and the stable solution of the bridge influence line is obtained by using Tikhonov regularity. Then, by carrying out virtual loading on the bridge influence line, the virtual static response of the bridge is reconstructed, and the traditional check coefficient method is used to evaluate the bearing capacity of the bridge. The effectiveness of the influence line identification method is verified by the numerical example of three-span variable section continuous girder bridge, and the accuracy of the influence line identification result is quantitatively evaluated by establishing the error index, so as to carry out static load test and rapid evaluation test research on the bearing capacity of a three-span continuous steel-concrete composite girder bridge, implement vehicle mobile loading in the preset lane, identify the deflection and strain influence line of the middle span of the bridge, and then the virtual loading study was carried out to further verify the feasibility and practicability of the proposed rapid evaluation method of carrying capacity, and to provide method support and case reference for the "lightweight" rapid screening of bridge carrying capacity.

导出引用

周宇1,2,3，尚稳齐1,2，狄生奎3，郑旭4，贺文宇5. 连续梁桥影响线识别与承载能力快速评估试验研究[J]. 振动与冲击, 2024, 43(7): 334-344

ZHOU Yu1,2,3, SHANG Wenqi1,2, DI Shengkui3, ZHENG Xu4, HE Wenyu5. Test study on influence line identification and load-bearing capacity rapid evaluation for continuous girder bridge[J]. Journal of Vibration and Shock, 2024, 43(7): 334-344

参考文献

[1] Mojtaba A M, Ioannis K, Carin R W, et al. Analytical evaluation of corrosion-Induced strength degradation in prestressed bridge girders[J]. Journal of Structural Engineering,2022,148(11):04022188. [2] JTG/T J21-01—2015 公路桥梁荷载试验规程[S]. JTG/T J21-01-2015 Load Test Methods for Highway Bridge[S]. [3] 王凌波,胡大琳,蒋培文.拟静态挠度法评定梁式桥承载力[J].长安大学学报(自然科学版),2010,30(4):51-55+81. WANG Ling-bo, HU Da-lin, JIANG Pei-wen. Quasi-static deflection method for detecting loading capacity of beam bridge[J]. Journal of Chang'an University(Natural Science Edition),2010,30(4):51-55+81. [4] 周宇.基于影响线与柔度矩阵的桥梁损伤信息融合诊断研究[D].兰州：兰州理工大学,2018. ZHOU Yu, Research of bridge damage diagnosis based on information fusion with influence line and flexibility matrix[D]. Lanzhou：Lanzhou University Technology, 2018 [5] Obrien E J, Quilligan M J, Karoumi R. Calculating an influence line from direct measurements[J]. Proceedings of the Institution of Civil Engineers - Bridge Engineering,2006,159(1):31-34. [6] Leng S S. Bridge influence line estimation for bridge weigh-in-motion system[J]. Journal of Computing in Civil Engineering,2014,29(1):06014006. [7] CHEN Zhi-wei, YANG Wei-biao, LI Jun, et al. Bridge influence line identification based on adaptive B‐spline basis dictionary and sparse regularization[J]. Structural Control and Health Monitoring,2019,26(6):e2355. [8] 王宁波,任伟新,何立翔.基于桥梁动力响应的应变影响线提取[J].中南大学学报(自然科学版),2014,45(12):4362-4369. WANG Ning-bo, REN Wei-xin, HE Li-xiang. Extraction of strain influence line of bridge from dynamic responses[J]. Journal of Central South University(Science and Technology),2014,45(12):4362-4369. [9] 陈克,张晓冬,李宁.基于CEEMD与自适小波阈值组合降噪在OPAX方法的应用[J].振动与冲击,2021,40(16):192-198. CHEN Ke, ZHANG Dong-xiao, LI Ning, Application of CEEMD and adaptive wavelet threshold combined noise reduction in the OPAX method[J]. Journal of Vibration and Shock, 2021,40(16):192-198. [10] 吴叶丽,行鸿彦,李瑾等.改进阈值函数的小波去噪算法[J].电子测量与仪器学报,2022,36(4):9-16. WU Ye-li, XING Hong-yan, LI Jin, et al. Wavelet denoising algorithm with improved threshold function[J]. Journal of Electronic Measurement and Instrumentation, 2022,36(4):9-16 [11] Zhu Q, Xu Y L, Xiao X. Multiscale modeling and model updating of a cable-stayed bridge. I: modeling and Influence line analysis[J]. Journal of Bridge Engineering, 2015,20(10):04014112. [12] Xiao X, Xu Y L, Zhu Q. Multiscale modeling and model updating of a cable-stayed bridge. II: model updating using modal frequencies and influence lines[J]. Journal of Bridge Engineering,2015,20(10):04014113. [13] LIAO Jing-bo, Tang Guang-wu, Meng Li-bo, et al. Finite element model updating based on field quasi-static generalized influence line and its bridge engineering application[J]. Procedia Engineering,2012,31:384-353. [14] ZHOU Yu, DI Sheng-kui, XIANG Chang-sheng, et al. Damage identification in simply supported bridge based on rotational-angle influence lines method[J]. Transactions of Tianjin University, 2018,24(6):587-601. [15] WANG Ning-bo, REN Wei-xin, HUANG Tian-li. Baseline-free damage detection method for beam structures based on an actual influence line[J]. Smart Structures and Systems,2019,24(4):475-490. [16] 李小年,陈艾荣,马如进.桥梁动态称重研究综述[J].土木工程学报,2013,46(3):79-85. LI Xiao-nian, CHEN Ai-rong, MA Ru-jin. Review of bridge weigh-in-motion[J].China Civil Engineering Journal,2013,46(3):79-85.） [17] Gonçalves M S, Carraro F, Lopez R H. A B-WIM algorithm considering the modeling of the bridge dynamic response[J]. Engineering Structures,2021,228:111533. [18] SUN Zhen, Siringoringo D M, Fujino Y. Load-carrying capacity evaluation of girder bridge using moving vehicle[J]. Engineering Structures,2021,229:111645. [19] 李东平,唐新葵,王宁波.基于实际影响线的桥梁快速检测方法[J].桥梁建设,2019,49(1):42-46. LI Dong-ping, TANG Xin-kui, WANG Ning-bo. Bridge rapid detection method base on actual influence[J]. Bridge Construction,2019,49(1):42-46. [20] WANG Ning-bo, SHEN Wei, GUO Chuan-rui, et al. Moving load test-based rapid bridge capacity evaluation through actual influence line[J]. Engineering Structures,2022,252:113630. [21] ZHENG Xu, YANG Dong-hui, YI Ting-hua, et al. Bridge influence line identification from structural dynamic responses induced by a high‐speed vehicle[J]. Structural Control and Health Monitoring,2020,27(7):e2544. [22] YANG Xiao-mei, QU Chun-xu, YI Ting-hua, et al. Modal analysis of a bridge during high-speed train passages by enhanced variational mode decomposition [J]. International Journal of Structural Stability and Dynamics,2020,20(13):2041002. [23] LI Jin-xin, YI Ting-hua, QU Chun-xu, et al. Adaptive identification of time-varying cable tension based on improved variational mode decomposition[J]. Journal of Bridge Engineering,2022,27(8):04022064. [24] 陈志为,杨维彪,程棋锋,等.基于正则化与B样条曲线的桥梁影响线识别方法[J].中国公路学报,2019,32(3):101-108. CHEN Zhi-wei, YANG Wei-biao, CHENG Qi-feng, et al. Bridge influence line identification method based on regularization and B-spline curves[J]. China Journal of Highway and Transport,2019,32(3):101-108. [25] Park Y, Reichel L, Rodriguez G, et al. Parameter determination for Tikhonov regularization problems in general form[J]. Journal of Computational and Applied Mathematics,2018,343:12-25. [26] Hansen P C. Analysis of discrete Ill-posed problems by means of the L-curve[J].SIAM Review,1992,34(4):561-580. [27] 周宇,尚稳齐,吴德义等.基于经验模态分解与Tikhonov正则化的梁桥影响线识别方法[J/OL].振动工程学报:1-10[2023-07-26]. http://kns.cnki.net/kcms/detail/32.1349.tb.20230420.1152.002.html ZHOU Yu, SAHNG Wen-qi, WU De-yi et al. Influence line identification method of beam bridge based on empirical mode decomposition and Tikhonov regularization[J/OL].Journal of Vibration Engineering:1-10[2023-07-26].http://kns.cnki.net/kcms/detail/32.1349.tb.20230420.1152.002.html [28] 邢兵,强士中,唐堂.关于桥梁承载能力评定若干问题的思考[J].中外公路,2015,35(6):152-155. XING Bing, QIANG Shi-zhong, TANG Tang. Consideration on some problems of bridge Bearing capacity Evaluation[J].Journal of China & Foreign Highway,2015,35(6):152-155. [29] ZHENG Xu, YI Ting-hua, ZHONG Ji-wei, et al. Rapid evaluation of load-carrying capacity of long-span bridges using limited testing vehicles[J]. Journal of Bridge Engineering,2022,27(4):04022008. [30] JTG/T J21-2011, 公路桥梁承载能力检测评定规程[S]. JTG/T J21-2011, Specification for inspection and evaluation of load-bearing capacity of highway bridges[S].