Damage Detection of a Continuous Bridge from Response of a Moving Vehicle

Li, Z. H.; Au, Ftk

doi:10.1155/2014/146802

Cited by 31 publications

(26 citation statements)

References 18 publications

(22 reference statements)

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“…Li and Au [60] suggest a multistage damage detection method based on modal strain energy and the genetic algorithm (GA). The modal strain energy based method estimates the damage location by calculating a damage indicator from the frequencies of the vehicle response for both the intact and damaged states of the bridge.…”

Section: Miscellaneous Methodsmentioning

confidence: 99%

A Review of Indirect Bridge Monitoring Using Passing Vehicles

Malekjafarian

McGetrick

O’Brien

2015

Shock and Vibration

174

133

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Indirect bridge monitoring methods, using the responses measured from vehicles passing over bridges, are under development for about a decade. A major advantage of these methods is that they use sensors mounted on the vehicle, no sensors or data acquisition system needs to be installed on the bridge. Most of the proposed methods are based on the identification of dynamic characteristics of the bridge from responses measured on the vehicle, such as natural frequency, mode shapes, and damping. In addition, some of the methods seek to directly detect bridge damage based on the interaction between the vehicle and bridge. This paper presents a critical review of indirect methods for bridge monitoring and provides discussion and recommendations on the challenges to be overcome for successful implementation in practice.

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Section: Miscellaneous Methodsmentioning

confidence: 99%

A Review of Indirect Bridge Monitoring Using Passing Vehicles

Malekjafarian

McGetrick

O’Brien

2015

Shock and Vibration

174

133

View full text Add to dashboard Cite

show abstract

“…Generalized pattern search algorithm was also used to identify the bridge stiffness and the fundamental natural frequency from the vehicle responses . Li and Au (2014) presented a multistage damage detection method based on the modal strain energy and the genetic algorithm. The former was used to determine the damage location and the latter is for the solution of the identification equation.…”

Section: Bridge Condition Assessment From Vehiclementioning

confidence: 99%

Structural Health Monitoring Based on Vehicle-Bridge Interaction: Accomplishments and Challenges

Zhu

Law

2015

Advances in Structural Engineering

133

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The use of the vehicle-bridge interaction (VBI) data for structural health monitoring has received considerable interest in the last decade. Compared with the traditional bridge health monitoring, the VBI based approach allows the target bridges to be monitored or assessed under operating conditions. The VBI system has time-variant features and the vehicle can serve as a moving exciter and a mobile sensor in the system. Many bridge damage identification techniques based on VBI have been developed, and they could be divided into three categories, namely, technique based on the bridge responses, technique based on the vehicle responses and technique based on both the vehicle and bridge responses. This paper presents a review on the structural health monitoring based on VBI and the challenges for its general implementation in practice.

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“…Several optimization methods have been used to solve the inverse problem for crack identification, for example, classical optimization technique of minimizing a least square criterion [8,42], the minimization of the mean-square and min-max formulations [43], or evolutionary algorithms [44]. Among them, genetic algorithm (GA) optimization techniques have been successfully included in fault detection methods applied to mechanical systems, for instance, in [45][46][47][48][49][50].…”

Section: Introductionmentioning

confidence: 99%

Elliptical Crack Identification in a Nonrotating Shaft

Muñoz-Abella

Rubio

et al. 2018

Shock and Vibration

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It is known that fatigue cracks are one of the most important problems of the mechanical components, since their propagation can cause severe loss, both personal and economic. So, it is essential to know deeply the behavior of the cracked element to have tools that allow predicting the breakage before it happens. The shafts are elements that are specially affected by the described problem, because they are subjected to alternative compression and tension stresses. This work presents, firstly, an analytical expression that allows determining the first four natural frequencies of bending vibration of a nonrotating cracked shaft, assumed as an Euler–Bernoulli beam, with circular cross section under pinned-pinned conditions, taking into account the elliptical shape of the crack. Second, once the direct problem is known, the inverse problem is approached. Genetic Algorithm technique has been used to estimate the crack parameters assuming known the natural frequencies of the cracked shaft.

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Damage Detection of a Continuous Bridge from Response of a Moving Vehicle

Cited by 31 publications

References 18 publications

A Review of Indirect Bridge Monitoring Using Passing Vehicles

A Review of Indirect Bridge Monitoring Using Passing Vehicles

Structural Health Monitoring Based on Vehicle-Bridge Interaction: Accomplishments and Challenges

Elliptical Crack Identification in a Nonrotating Shaft

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