Bridge fatigue damage evaluation and updating using non-destructive inspections

Zhao, Zhengwei; Haldar, Achintya

doi:10.1016/0013-7944(95)00136-0

Cited by 76 publications

(39 citation statements)

References 10 publications

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“…Fatigue cracks in their initial phase are usually small in size and hence difficult to detect. Moreover, depending on loading conditions and structural layouts, these cracks may develop rapidly and weaken structural integrity [1,2] .…”

Section: Introductionmentioning

confidence: 99%

Numerical simulation and experimental validation of a large-area capacitive strain sensor for fatigue crack monitoring

Kong

Bennett

et al. 2016

Meas. Sci. Technol.

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A large area electronics in the form of a soft elastomeric capacitor (SEC) has shown great promise as a strain sensor for fatigue crack monitoring in steel structures. The SEC sensors are inexpensive, easy to fabricate, highly stretchable, and mechanically robust. It is a highly scalable technology, capable of monitoring deformations on mesoscale systems. Preliminary experiments verified the SEC sensor's capability in detecting, localizing, and monitoring crack growth in a compact tension specimen. Here, a numerical simulation method is proposed to simulate accurately the sensor's performance under fatigue cracks. Such method would provide a direct link between the SEC's signal and a fatigue crack geometry, extending the SEC's capability to dense network applications on mesoscale structural components. The proposed numerical procedure consists of two parts: 1) a finite element analysis for the target structure to simulate crack growth based on an element deletion method; 2) an algorithm to compute the sensor's capacitance response using the FE analysis results. The proposed simulation method is validated based on test data from a compact tension specimen. Results from the numerical simulation shows good agreement with SEC's response from the laboratory tests as a function of the crack size. Using these findings, a parametric study is performed to investigate how the SEC would perform under different geometries. Results from the parametric study can be used to optimize the design of a dense sensor network of SECs for fatigue crack detection and localization.

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Section: Introductionmentioning

confidence: 99%

Numerical simulation and experimental validation of a large-area capacitive strain sensor for fatigue crack monitoring

Kong

Bennett

et al. 2016

Meas. Sci. Technol.

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“…The residual service life of a steel bridge with existing fatigue damages can be calculated as a function of the fatigue crack growth [9]. These methods have the great advantage that the analysis of the elapsed stress history of a member is no precondition for a prediction of the remaining fatigue life.…”

Section: Discussionmentioning

confidence: 99%

Experimental Investigations on the Fatigue Behavior of Concrete Bridges

Fehlmann¹,

Vogel²

2009

IABSE Symposium, Bangkok 2009: Sustainable Infrastructure - Environment Friendly, Safe and Resource Efficient

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<p>Due to the rising demands existing bridges have to meet, periodical inspections are necessary. Decisions on the necessity of costly maintenance to guarantee structural safety and serviceability have to be made. Increasing traffic loads and frequencies may cause a strength reduction of structural materials which is also known as fatigue. In reinforced concrete structures the reinforcement is particularly subject to fatigue.</p><p>To shed light on the load bearing behavior under service conditions, large-scale tests with frames under cyclic loading are performed. Emphasis is placed on the recording of crack patterns and the detection of single rebar breaks by non-destructive methods. The specimens on a scale of 1:2 are designed to match dimensions and detailing of frame bridges of the 1960ies and 70ies, which are very common on Swiss motorways. The tests shall show whether fatigue has to be taken into account when inspecting these bridges and how fatigue damages can be detected at an early stage.</p>

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“…The material parameter C is in general random, typically assumed to be described by the lognormal distribution [5][6][7][8][10][11][12]. The parameters assumed here for this distribution are λ c = −29.13, ζ c = 0.47 [12].…”

Section: Examplementioning

confidence: 99%

A comparative study of fatigue inspection methods

Righiniotis

2006

Journal of Constructional Steel Research

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Bridge fatigue damage evaluation and updating using non-destructive inspections

Cited by 76 publications

References 10 publications

Numerical simulation and experimental validation of a large-area capacitive strain sensor for fatigue crack monitoring

Numerical simulation and experimental validation of a large-area capacitive strain sensor for fatigue crack monitoring

Experimental Investigations on the Fatigue Behavior of Concrete Bridges

A comparative study of fatigue inspection methods

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