Damage detection method based on operating deflection shape curvature extracted from dynamic response of a passing vehicle

Zhang, Yao; Lie, S.T.; Xiang, Zuoshuang

doi:10.1016/j.ymssp.2012.10.002

Cited by 138 publications

(62 citation statements)

References 26 publications

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“…It operates by defining a damage index in terms of expected, or reference, deformed shapes calculated from Frequency Response Functions (FRFs) to monitor bridge condition. By using deformed shapes as a damage indicator, one can take advantage of concentrated vibration amplitude irregularities to detect and locate damage, as other authors have successfully achieved [152,153], while others focused on the variation of deformed shape curvatures to detect damage [154][155][156], the latter using a cubic polynomial to represent curvatures. Dilena et al [157] extended this concept through the incorporation of a cubic polynomial spline interpolation function, applied to the deformed shapes to extenuate deformations.…”

Section: Vibration Based Damage Sensitive Featuresmentioning

confidence: 99%

A State of the Art Review of Modal-Based Damage Detection in Bridges: Development, Challenges, and Solutions

2017

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Abstract:Traditionally, damage identification techniques in bridges have focused on monitoring changes to modal-based Damage Sensitive Features (DSFs) due to their direct relationship with structural stiffness and their spatial information content. However, their progression to real-world applications has not been without its challenges and shortcomings, mainly stemming from: (1) environmental and operational variations; (2) inefficient utilization of machine learning algorithms for damage detection; and (3) a general over-reliance on modal-based DSFs alone. The present paper provides an in-depth review of the development of modal-based DSFs and a synopsis of the challenges they face. The paper then sets out to addresses the highlighted challenges in terms of published advancements and alternatives from recent literature.

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Section: Vibration Based Damage Sensitive Featuresmentioning

confidence: 99%

A State of the Art Review of Modal-Based Damage Detection in Bridges: Development, Challenges, and Solutions

2017

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“…Zhang et al (2012) used only one sensor mounted on a moving robot with a tapping device as exciter to obtain the damage information of the bridge deck. The operating deflection shape was extracted using a moving device (Zhang et al 2013c) and its curvature for damage detection can be obtained via a pre-filtering based on wavelet decomposition. Generalized pattern search algorithm was also used to identify the bridge stiffness and the fundamental natural frequency from the vehicle responses .…”

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

134

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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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“…The vehicle is fitted with sensors, such as accelerometers, on its axles to monitor vibration thus aiming to reduce the need for (a) on-site SHM installations on the bridge which can be expensive and (b) expensive laser-based technology and sensors currently used in inertial road profilometers. Methods have been proposed and developed which target identification of bridge dynamic properties such as frequency [9,10], damping [11], mode shapes [12] and modal curvatures [13] based on post-processing of on-vehicle sensor measurements, showing some promise. However, these types of methods, summarised by Malekjafarian et al [7], lack comprehensive experimental verification, with very few field trials reported in the literature.…”

Section: Introductionmentioning

confidence: 99%

Implementation of a drive-by monitoring system for transport infrastructure utilising smartphone technology and GNSS

McGetrick

Hester

Taylor

2017

J Civil Struct Health Monit

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Ageing and deterioration of infrastructure are a challenge facing transport authorities. In particular, there is a need for increased bridge monitoring in order to provide adequate maintenance, prioritise allocation of funds and guarantee acceptable levels of transport safety. Existing bridge structural health monitoring (SHM) techniques typically involve direct instrumentation of the bridge with sensors and equipment for the measurement of properties such as frequencies of vibration. These techniques are important as they can indicate the deterioration of the bridge condition. However, they can be labour intensive and expensive due to the requirement for on-site installations. In recent years, alternative low-cost indirect vibration-based SHM approaches have been proposed which utilise the dynamic response of a vehicle to carry out 'drive-by' pavement and/or bridge monitoring. The vehicle is fitted with sensors on its axles thus reducing the need for on-site installations. This paper investigates the use of lowcost sensors incorporating global navigation satellite systems (GNSS) for implementation of the drive-by system in practice, via field trials with an instrumented vehicle. The potential of smartphone technology to be harnessed for drive-by monitoring is established, while smartphone GNSS tracking applications are found to compare favourably in terms of accuracy, cost and ease of use to professional GNSS devices.

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Damage detection method based on operating deflection shape curvature extracted from dynamic response of a passing vehicle

Cited by 138 publications

References 26 publications

A State of the Art Review of Modal-Based Damage Detection in Bridges: Development, Challenges, and Solutions

A State of the Art Review of Modal-Based Damage Detection in Bridges: Development, Challenges, and Solutions

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

Implementation of a drive-by monitoring system for transport infrastructure utilising smartphone technology and GNSS

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