Structural health monitoring for flexible bridge structures using correlation and sensitivity of modal data

Koh, Bong-Hwan; Dyke, Shirley J.

doi:10.1016/j.compstruc.2006.09.005

Cited by 136 publications

(63 citation statements)

References 25 publications

(34 reference statements)

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“…MDLAC is a powerful tool to identify the location and extent of damage existing in structures, which is performed by considering the correlation between the modal parameters monitored in practical structures and parameters calculated by Finite Element Analysis (FEA) [34][35][36] .…”

Section: Damage Index Based On Natural Frequencymentioning

confidence: 99%

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Multi-stage method to identify structural damage using multiple damage location assurance criterion and an improved differential evolution algorithm

Wu¹,

Liu²,

Qin³

et al. 2017

IJCIS

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For the damage identification technique of civil structures, the reduction of the computational cost for methods based on the optimization algorithms is the most crucial step. In this study, a fast multi-stage method is developed that uses the multiple damage location assurance criterion and an improved differential evolution algorithm. In the new method, the suitable damage range is selected in different stages to reduce the computational cost of structural analysis. Five mutation operators are analysized not only in the basic differential evolution algorithm but also in the improved one. A new adaptive scaling factor with a segmented function is proposed which can operate the decay rate to avoid the premature phenomenon. The results of the study show that the precise locations and extents of structural damage are successfully realized. It is also shown that the multi-stage method using the improved differential evolution algorithm is substantially faster as compared to the basic one and can be used as an efficient and powerful measure of structural damage identification.

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Section: Damage Index Based On Natural Frequencymentioning

confidence: 99%

“…DΦ and ) ( X Φ δ can be expressed as is proposed based on both frequencies and mode shapes, which can address well both symmetrical and asymmetrical structures 35,36 . This combined index is defined by…”

Section: Damage Index Based On Mode Shapementioning

confidence: 99%

Multi-stage method to identify structural damage using multiple damage location assurance criterion and an improved differential evolution algorithm

Wu¹,

Liu²,

Qin³

et al. 2017

IJCIS

View full text Add to dashboard Cite

show abstract

“…This is an especially attractive feature for wireless sensor networks, where wireless bandwidth is often limited and sensors typically have a low energy budget. However, we note that DLAC is designed to detect damage at only one location; other techniques are needed to detect multiple damage locations [19], which we plan to explore as future work.…”

Section: Damage Localization Algorithmmentioning

confidence: 99%

A holistic approach to decentralized structural damage localization using wireless sensor networks

Hackmann

Sun

Castaneda

et al. 2012

Computer Communications

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Wireless sensor networks (WSNs) have become an increasingly compelling platform for Structural Health Monitoring (SHM) applications, since they can be installed relatively inexpensively onto existing infrastructure. Existing approaches to SHM in WSNs typically address computing system issues or structural engineering techniques, but not both in conjunction. In this paper, we propose a holistic approach to SHM that integrates a decentralized computing architecture with the Damage Localization Assurance Criterion algorithm. In contrast to centralized approaches that require transporting large amounts of sensor data to a base station, our system pushes the execution of portions of the damage localization algorithm onto the sensor nodes, reducing communication costs by two orders of magnitude in exchange for moderate additional processing on each sensor. We present a prototype implementation of this system built using the TinyOS operating system running on the Intel Imote2 sensor network platform. Experiments conducted using two different physical structures demonstrate our system's ability to accurately localize structural damage. We also demonstrate that our decentralized approach reduces latency by 65.5% and energy consumption by 64.0% compared to a typical centralized solution.

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“…In other study, it was determined the place and severity of multiple damage by iteratively searching for a combination of structural responses that maximizes a correlation coefficient named the multiple damage location assurance criterion (MDLAC) by the use of a genetic algorithm (GA) [23]. A Hybrid technique was used for damage detection by including of a real-parameter genetic algorithm and grey relation analysis [24].…”

Section: Introductionmentioning

confidence: 99%

A New Damage Detection Method: Big Bang-Big Crunch (BB-BC) Algorithm

Tabrizian

Afshari

Amiri

et al. 2013

Shock and Vibration

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Abstract. The present paper aims to explore damage assessment methodology based on the changes in dynamic parameters properties of vibration of a structural system. The finite-element model is used to apply at an element level. Reduction of the element stiffness is considered for structural damage. A procedure for locating and quantifying damaged areas of the structure based on the innovative Big Bang-Big Crunch (BB-BC) optimization method is developed for continuous variable optimization. For verifying the method a number of damage scenarios for simulated structures have been considered. For the purpose of damage location and severity assessment the approach is applied in three examples by using complete and incomplete modal data. The effect of noise on the accuracy of the results is investigated in some cases.A great unbraced frame with a lot of damaged element is considered to prove the ability of proposed method. More over BB-BC optimization method in damage detection is compared with particle swarm optimizer with passive congregation (PSOPC) algorithm.This work shows that BB-BC optimization method is a feasible methodology to detect damage location and severity while introducing numerous advantages compared to referred method.

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Structural health monitoring for flexible bridge structures using correlation and sensitivity of modal data

Cited by 136 publications

References 25 publications

Multi-stage method to identify structural damage using multiple damage location assurance criterion and an improved differential evolution algorithm

Multi-stage method to identify structural damage using multiple damage location assurance criterion and an improved differential evolution algorithm

A holistic approach to decentralized structural damage localization using wireless sensor networks

A New Damage Detection Method: Big Bang-Big Crunch (BB-BC) Algorithm

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