Analytical study on damage detection method using displacement influence lines of road bridge slab

Ono, Ryohei; Ha, Taejin; Fukada, Saiji

doi:10.1007/s13349-019-00352-9

Cited by 23 publications

(8 citation statements)

References 18 publications

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“…Ono et al (67) used influence lines of the road to detect damage on a full-scale finite element bridge slab. Different parameters, such as damaged positions and boundary conditions, were examined to investigate their impacts on the performance of the presented methodology.…”

Section: Anomaly Detection Methodsmentioning

confidence: 99%

A Critical Review on Structural Health Monitoring: Definitions, Methods, and Perspectives

Gharehbaghi

Farsangi

Noori

et al. 2021

Arch Computat Methods Eng

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The benefits of tracking, identifying, measuring features of interest from structure responses have endless applications for saving cost, time and improving safety. To date, structural health monitoring (SHM) has been extensively applied in several fields, such as aerospace, automotive, and mechanical engineering. However, the focus of this paper is to provide a comprehensive upto-date review of civil engineering structures such as buildings, bridges, and other infrastructures. For this reason, this article commences with a concise introduction to the fundamental definitions of SHM. The next section presents the general concepts and factors that determine the best strategy to be employed for SHM. Afterward, a thorough review of the most prevalent anomaly detection approaches, from classic techniques to advanced methods, is presented. Subsequently, some popular benchmarks, including laboratory specimens and real structures for validating the proposed methodologies, are demonstrated and discussed. Finally, the advantages and disadvantages of each method are summarized, which can be helpful in future studies.

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Section: Anomaly Detection Methodsmentioning

confidence: 99%

A Critical Review on Structural Health Monitoring: Definitions, Methods, and Perspectives

Gharehbaghi

Farsangi

Noori

et al. 2021

Arch Computat Methods Eng

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“…Detailed analytical and numerical evaluation of the post-elastic response of beams is not trivial [1][2][3]. In case of bridges, influence lines can be used to detect damage [4]. Thus, examining the post-elastic state of the structure undergoing deformations is crucial.…”

Section: Introductionmentioning

confidence: 99%

A Diagnostic Method Based on Deflection Analysis for Monitoring Post-elastic Response of Beams

Sciegaj

2023

Int J Civ Eng

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A non-destructive diagnostic method based on deflection analysis for monitoring the post-elastic response of beams was developed, and a diagnostic indicator was proposed. The indicator was defined as the second moment of the normalised curvature function about the mid-span, where the curvature was computed from the normalised deflection function. Elastic reference values of the indicator were computed for simply supported beams under uniformly distributed load, three-point, and four-point bending. Development of the indicator under progressive loading was examined with the help of finite element analyses. The indicator value monotonically decreased with increasing deformation provided that maximum bending moment was located between 0.41L and 0.59L, where L is the span of the beam. In this interval, the value of the indicator was unique and enabled the direct monitoring of the post-elastic stress level in the cross-section. The method was validated with the help of available experiments on simply supported beams. For beams working in the elastic range, a mean error of $${2.1}{\%}$$ 2.1 % was obtained between the measured and theoretical indicator values. For quasi-brittle material in the post-elastic stage, the decreasing value of the indicator signified the development of damage in accordance with experimental results.

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“…Among the different monitoring approaches available in the literature, displacement monitoring, also known as shape sensing, is receiving more attention especially for usage monitoring [2], although some extensions to damage isolation are present in the literature [3]. Many sensor technologies can be exploited to measure the displacement field, leveraging both on direct and inverse procedures.…”

Section: Introductionmentioning

confidence: 99%

Shape Sensing of a Complex Aeronautical Structure with Inverse Finite Element Method

Oboe

Colombo

Sbarufatti

et al. 2021

Sensors

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The inverse Finite Element Method (iFEM) is receiving more attention for shape sensing due to its independence from the material properties and the external load. However, a proper definition of the model geometry with its boundary conditions is required, together with the acquisition of the structure’s strain field with optimized sensor networks. The iFEM model definition is not trivial in the case of complex structures, in particular, if sensors are not applied on the whole structure allowing just a partial definition of the input strain field. To overcome this issue, this research proposes a simplified iFEM model in which the geometrical complexity is reduced and boundary conditions are tuned with the superimposition of the effects to behave as the real structure. The procedure is assessed for a complex aeronautical structure, where the reference displacement field is first computed in a numerical framework with input strains coming from a direct finite element analysis, confirming the effectiveness of the iFEM based on a simplified geometry. Finally, the model is fed with experimentally acquired strain measurements and the performance of the method is assessed in presence of a high level of uncertainty.

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Analytical study on damage detection method using displacement influence lines of road bridge slab

Cited by 23 publications

References 18 publications

A Critical Review on Structural Health Monitoring: Definitions, Methods, and Perspectives

A Critical Review on Structural Health Monitoring: Definitions, Methods, and Perspectives

A Diagnostic Method Based on Deflection Analysis for Monitoring Post-elastic Response of Beams

Shape Sensing of a Complex Aeronautical Structure with Inverse Finite Element Method

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