Damage assessment of a bridge based on mode shapes estimated by responses of passing vehicles

Oshima, Yoshifumi; Yamamoto, Kyosuke; Sugiura, Kunitomo

doi:10.12989/sss.2014.13.5.731

Cited by 102 publications

(69 citation statements)

References 17 publications

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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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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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“…Estimation of the bridge mode shapes using indirect measurements has been investigated in a few studies [11][12][13][14][15][16][17]. Oshima et al [13] propose a convoy truck-trailer system for estimating the bridge mode shapes.…”

Section: Introductionmentioning

confidence: 99%

“…Oshima et al [13] propose a convoy truck-trailer system for estimating the bridge mode shapes. The estimated mode shapes are then used for bridge damage detection.…”

Section: Introductionmentioning

confidence: 99%

On the Estimation of Bridge Mode Shapes From Drive-by Measurements

Malekjafarian¹,

O’Brien²

2017

Proceedings of the 6th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering (COM

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“…A potentially more cost effective approach to monitor the health of bridges, roads, or tracks in a railway is through the vibrations recorded by a passing vehicle [4][5][6][7] . This has numerous benefits: installing sensors on a vehicle is much easier than on an entire bridge, the maintenance costs are lower as the sensors are readily accessible and not exposed to the harsh bridge environment, and a single vehicle can monitor multiple structures.…”

Section: Introductionmentioning

confidence: 99%

Mitigating the effects of variable speed on drive-by infrastructure monitoring

et al. 2015

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Vehicle-based monitoring has the potential to become an accurate and cost-efficient way to monitor infrastructure assets, but a number of challenges must be addressed for such a technique to be implemented widely. The majority of vehiclebased infrastructure sensing has assumed that the vehicle's speed profile is identical every time it passes over the asset of interest. Ultimately, however this technology will be most practical if damage detection schemes can be applied regardless of the speed of the vehicle. Thus methods must be designed to handle speed variability to make this method more practical. In this paper we investigate the effects of variable speed when monitoring infrastructure from the dynamic response of a passing vehicle, which we measure by placing accelerometers on the vehicle of interest. We have conducted a series of laboratory tests to study this phenomenon, in which a vehicle crosses over a scaled model bridge structure with a varying speed profile. We quantify the ability of several features to detect changes in the infrastructure, independent of the variable speed. We show that aligning signals to normalize for speed variability improves the classification results. This work brings us closer to the ultimate goal of using vehicle-based monitoring to ensure more efficient and more reliable infrastructure in the future.

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Damage assessment of a bridge based on mode shapes estimated by responses of passing vehicles

Cited by 102 publications

References 17 publications

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

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

On the Estimation of Bridge Mode Shapes From Drive-by Measurements

Mitigating the effects of variable speed on drive-by infrastructure monitoring

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