Damage quantification of beam structures using deflection influence lines

Chen, Z.W.; Cai, Qinlin; Zhu, Songye

doi:10.1002/stc.2242

Cited by 50 publications

(18 citation statements)

References 33 publications

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“…More recently, damage quantification methods have been proposed by using deflection influence lines (DILs). For example, Chen et al (2018) revealed the relationship between change in DIL and structural damage in an explicit form, and then developed a novel damage detection and quantification method. One disadvantage of this method is its dependence on an accurate finite element model (FEM), which brings extra difficulties and errors to practical applications.…”

Section: Introductionmentioning

confidence: 99%

Damage quantification of beam structures using deflection influence line changes and sparse regularization

Chen

Zhao

Zhang

et al. 2021

Advances in Structural Engineering

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Influence line (IL) has emerged as very promising damage indices for bridge damage detection. This study proposed a method to localize and quantify damage in beam structures by estimating section flexibility change from deflection IL (DIL) change. To this end, the relationship between second derivative of DIL change and flexibility change was established. To remove noise interference in measurement, piecewise quadratic functions were used to fit and replace noisy DIL change curves, wherein the coefficients of quadratic function were determined via a sparse regularization method, considering the sparsity nature of damage that typically takes place in only a limited number of elements. The feasibility and accuracy of the proposed method are verified through numerical examples and laboratory experiments. Through four hypothetical damage scenarios of a simply supported beam with one or two damaged locations, its ability to quantify minor damage and its anti-noise robustness were well verified. Finally, a laboratory experiment on a simply supported aluminum beam illustrated that the location and extent of damage could be successfully identified in the single-damage and double-damage cases. The numerical and experimental results indicate that the proposed method is promising for future damage localization and quantification of bridge structures.

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Section: Introductionmentioning

confidence: 99%

Damage quantification of beam structures using deflection influence line changes and sparse regularization

Chen

Zhao

Zhang

et al. 2021

Advances in Structural Engineering

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“…Compared with dynamic parameters‐based damage detection methods, influence coefficients‐based methods are insensitive to environmental parameters change and can be applied to local damage detection. From influence line to influence surface, traditional bridge influence line can only reflect the stiffness information of a certain section of the bridge 14,15 and can be employed for one‐dimensional bridge damage detection 16,17 . On the other hand, the bridge influence surface contains the bridge stiffness information of any point of the bridge.…”

Section: Introductionmentioning

confidence: 99%

“…Zheng et al 20 used the empirical mode decomposition method to extract bridge influence line from dynamic response induced by high speed vehicle. Chen et al 16,21 then introduced the regularization penalty function to the least square method to reduce the unreasonable fluctuation in the identified result. Froseth et al 22 extracted bridge influence lines from the frequency domain and increased the computational efficiency by several orders of magnitude compared with the computational efficiency of a traditional time domain model.…”

Section: Introductionmentioning

confidence: 99%

Bridge influence surface identification method considering the spatial effect of vehicle load

Yang

et al. 2021

Struct Control Health Monit

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Summary Bridge influence surface is an important tool to study the bridge responses under the moving loads, which contains tremendous structural information. The structural deterioration during the service life would induce the variation of the bridge influence surface, which makes it essential to identify the influence surface exactly from the field measured data under moving vehicle loads. This paper firstly summarizes current development of bridge influence surface identification methods and classifies the methods in which the vehicle is respectively equivalent to line loads and concentrated loads. After that, the actual spatial distribution of the vehicle load is considered, based on which a new identification method is presented to solve the boundary problem of current influence surface identification methods. Then a numerical slab model with two fixed ends is illustrated to prove the validity of the method, and the accuracy and identifiable region of different methods in this condition are compared with the other methods. Influence factors of identification accuracy including noise level, axle number of vehicle and loading point are analyzed. Finally, laboratory verification using the same slab model is prepared to verify the effectiveness of the proposed identification method. Results of this study provide an effective identification method of bridge influence surface with very high identification accuracy, which can be used to full bridge influence surface test.

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“…At the same time, it is worth noting that in recent years, a damage identification method based on influence line changes has emerged . The definition of the influence line is shown as follows: When the unit concentrated load moves through the bridge in a perpendicular direction, the response curve for a certain point in a certain section is called influence line.…”

Section: Introductionmentioning

confidence: 99%

Bridge influence line identification from structural dynamic responses induced by a high‐speed vehicle

Yang

et al. 2020

Struct Control Health Monit

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Summary The bridge influence line can reflect the structural behavior under moving vehicle loads, which is becoming a proposing tool to study the bridge behavior during service life. A high‐speed vehicle will induce dynamic effect on the bridge, which will significantly change the shape of response curve. It is essential to consider the dynamic response for the accurate identification of the bridge influence line. This paper firstly summarizes current research activities for bridge influence line identification and components of the bridge dynamic responses. A dynamic fluctuation part elimination method based on empirical mode decomposition is proposed, based on which the bridge static influence line is identified by static bridge influence line identification method. Finally, a vehicle–bridge coupling model of a simply supported beam excited by passing vehicles with three different speeds is introduced to illustrate the effectiveness of the proposed identification method. The result of this study provides an effective identification method of the bridge static influence line, which can lead to a satisfactory identification results based on the dynamic responses induced by high‐speed vehicle loads.

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Damage quantification of beam structures using deflection influence lines

Cited by 50 publications

References 33 publications

Damage quantification of beam structures using deflection influence line changes and sparse regularization

Damage quantification of beam structures using deflection influence line changes and sparse regularization

Bridge influence surface identification method considering the spatial effect of vehicle load

Bridge influence line identification from structural dynamic responses induced by a high‐speed vehicle

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