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Journal of ZheJiang University (Engineering Science)  2020, Vol. 54 Issue (5): 879-888    DOI: 10.3785/j.issn.1008-973X.2020.05.005
Civil Engineering, Traffic Engineering     
Beam structure damage detection based on rotational-angle-influence-lines of elastic-constrained-support beam
Yu ZHOU1(),Sheng-kui DI2,Chang-sheng XIANG2,Wan-run LI2
1. College of Civil Engineering, Anhui Jianzhu University, Hefei 230601, China
2. School of Civil Engineering, Lanzhou University of Technology, Lanzhou 730050, China
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Abstract  

The consideration of non-ideal supporting boundary and uncertainty of section parameters in actual bridge structure are insufficient in the research of beam bridge structure damage identification. Thus a beam structural model considering elastic rotation and vertical restraint was proposed, and the uncertainty coefficient of section parameters and local damage were introduced to simulate the existing beam structure. The analytical expression of the rotational-angle-influence-lines of elastic-constrained-support beam and the damage identification indicator based on that were derived, and the loading implementation scheme was proposed. The influence of measuring point, damage degree and measuring noise on the damage identification was investigated combined with the simulation cases. The experiment of the boundary equivalent substructure model was carried out to verify the proposed method. Research show that the curvature of rotational-angle-influence-lines difference can be used to accurately locate the local damage and effectively calculate the degree of existing beam structural damage, and the maximum relative errors of the damage degree solution are 25%. Simulation cases show that the proposed method can locate the damage positions under the condition of 5% test noise. The susceptibility of damage diagnosis is high when the rotation constraint is weak.



Key wordsbeam structure      elastic-constrained-support      rotational-angle-influence-line      damage identification      substructure experiment     
Received: 17 August 2019      Published: 05 May 2020
CLC:  U 466  
  TU 317  
Cite this article:

Yu ZHOU,Sheng-kui DI,Chang-sheng XIANG,Wan-run LI. Beam structure damage detection based on rotational-angle-influence-lines of elastic-constrained-support beam. Journal of ZheJiang University (Engineering Science), 2020, 54(5): 879-888.

URL:

http://www.zjujournals.com/eng/10.3785/j.issn.1008-973X.2020.05.005     OR     http://www.zjujournals.com/eng/Y2020/V54/I5/879


基于弹性约束支承梁转角影响线的梁结构损伤诊断

针对现有桥梁结构损伤诊断研究中,对实际主梁结构的边界支承条件不理想与截面参数不确定性考虑不充分的问题,提出考虑弹性转动与竖向约束的梁结构模型,引入截面不确定系数与局部损伤来模拟既有桥梁主梁. 推导得到主梁模型转角影响线解析式,提出基于弹性约束支承梁与转角影响线指标的损伤诊断方法与加载实施方案. 结合算例,研究测点位置、损伤程度、测试噪声对损伤诊断结果的影响,提出边界等效子结构模型试验验证所提方法. 研究表明,转角影响线差值曲率能精确定位、定量弹性约束支承梁的局部损伤,在损伤程度定量试验各工况中,最大相对误差为25%. 算例表明,在5%测试噪声时,仍可以定位梁结构局部损伤,且在梁端转动约束较弱时,损伤诊断敏感性较高.


关键词: 梁结构,  弹性约束支承,  转角影响线,  损伤诊断,  子结构试验 
Fig.1 Technical route of beam structure damage detection based on rotational-angle-influence-lines of elastic-constrained-support beam
Fig.2 Elastic-constrained-support beam model with local damage
Fig.3 Deformation analyze model of elastic-constrained-support beam
Fig.4 Rigid body rotational of main beam
Fig.5 Bending curve of main beam
Fig.6 Simplification of beam bending
Fig.7 Section size of continuous beam bridge
损伤工况 损伤位置 DE 测点位置 分析结果
G 5%、10%、20%、30% α 图9(a)
E 5%、10%、20%、30% α 图9(b)
F 5%、10%、20%、30% α 图9(c)
EF 5%、10%、20%、30% α 图9(d)
E 30% αα'α'' 图10(a)
E 30% αβγ 图10(b)
E 30%(噪声强度水平1%、3%、5%) α 图11(a)
E 5%、10%、20%(噪声强度水平5%) α 图11(b)
Tab.1 Damage case and layout of measuring points of example
Fig.8 Damage and measuring positions of example
Fig.9 Damage detection result of Case Ⅰ to Case Ⅳ
Fig.10 Detection results of different measurement locations
Fig.11 Damage detection results of noise cases
RILDC $EI$/(kN·m?2) $P$/kN $l$/m $x'$/m DE
计算值/% 模拟值/% 相对误差/%
2.441 4×10?8 2. 392 3×1010 2 942 40 20 28.42 30.00 5.27
Tab.2 Calculated result of DE at G-Point
Fig.12 Implementation approach and modeling principle of substructure test model
Fig.13 Vertical-elastic bearing design and sensor installation
Fig.14 Model of test beam and installation of counter weight
Fig.15 Influence line of counterweight
Fig.16 Cases of damage detection experiment
Fig.17 Loading process of roller and local damage of model
Fig.18 RAIL baseline of undamaged model
Fig.19 Experiment results of damage detection based on RILDC
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