Experimental Evaluation of Unmanned Aerial System for Measuring Bridge Movement

Jalinoos, Frank; Amjadian, Mohsen; Agrawal, Anil K.; Brooks, Colin; Banach, David M.

doi:10.1061/(asce)be.1943-5592.0001508

Cited by 18 publications

(10 citation statements)

References 38 publications

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“…xii. Remote sensing systems: Drones (Jalinoos, Amjadian, Agrawal, Brooks, & Banach, 2020) and satellites (Selvakumaran, Plank, Geiß, Rossi, & Middleton, 2018) are recently gathering attention for their capability to collect and measure real-time spatial data over a large area, including information on the bridge and the riverbank. Such systems can also be used to measure bridge movements (directly or indirectly related to scour) including rotation and settlement and used to inform analytical models.…”

Section: Monitoring Bridge Scourmentioning

confidence: 99%

Risk-informed asset management to tackle scouring on bridges across transport networks

Sasidharan

Parlikad

Schooling

2021

Structure and Infrastructure Engineering

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Scour is one of the main causes of bridge failures resulting in significant macroeconomic impacts, often beyond the direct costs of infrastructure damage. Given the pressure to increase the resilience of transport networks, ageing bridge infrastructure, constrained budgets, variable knowledge of asset conditions and limited data, mixed ownership and operation of bridges, and concerns about the risks of climate change, there is a need to implement cost-effective monitoring and maintenance strategies. To this end, this study aims to set the scene for a risk-informed approach for tackling bridge scour, while considering the socioeconomic impacts of disruptions due to bridge failures or closures. This study reviews the current practices in predicting, monitoring and managing bridge scour. It discusses the development of a risk-informed approach to aid the whole-life appraisal of bridges while considering the direct and indirect costs associated with bridge failure or closures. The approach provides a rational means to enable asset managers to evaluate the factors that affect bridge failure risk, select and prioritise appropriate mitigation measures, thereby improving the allocation of scarce monitoring and maintenance resources.

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Section: Monitoring Bridge Scourmentioning

confidence: 99%

Risk-informed asset management to tackle scouring on bridges across transport networks

Sasidharan

Parlikad

Schooling

2021

Structure and Infrastructure Engineering

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“…damage. Recent studies have developed various rotation-based damage detection techniques for bridge monitoring systems, including visionbased methods and measurement data from inertial sensors [20][21][22][23]. Damage detection techniques are still relatively unproven for monitoring of bridges during scour events and also require an undamaged model of the bridge.…”

Section: Rotation-based Structural Health Monitoringmentioning

confidence: 99%

Tracking bridge tilt behaviour using sensor fusion techniques

Faulkner

Wang

Huseynov

2020

J Civil Struct Health Monit

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The resilience of the built environment to extreme weather events is fundamental for the day-today operation of our transport network, with scour representing one of the biggest threats to bridges built over flowing water. Condition monitoring of the bridge using a structural health monitoring system enhances resilience by reducing the time needed to return the bridge to normal use by providing timely information on structural condition and safety. The work presented in this report discusses use of rotational measurements in structural health monitoring. Traditionally tiltmeters (which can be a form of DC accelerometer) are used to measure rotation but are known to be affected by dynamic movements, while gyroscopes react quickly to dynamic motion but drift over time. This review will introduce gyroscopes as a complementary sensor for accelerometer rotational measurements and use sensor fusion techniques to combine the measurements from both sensors to get an optimised rotational result. This method was trialled on a laboratory scaled model, before the system was installed on an in-service single-span skewed railway bridge. The rotational measurements were compared against rotation measurements obtained using a vision-based measurement system to confirm the validity of the results. An introduction to gyroscopes, field test measurement results with the sensors and their correlation with the vision-based measurement results are presented in this article.

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“…There have been a few ongoing research on DIC deformation evaluation and comparison studies on structures using UAV, but they are limited to laboratory conditions. The practical applicability of drone DIC in structural health monitoring applications is still a critical topic of research [20,21].…”

Section: Introductionmentioning

confidence: 99%

RCC Structural Deformation and Damage Quantification Using Unmanned Aerial Vehicle Image Correlation Technique

et al. 2022

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Reinforced cement concrete (RCC) is universally acknowledged as a low-cost, rigid, and high-strength construction material. Major structures like buildings, bridges, dams, etc., are made of RCC and subjected to repetitive loading during their service life for which structural performance deteriorates with time. Bridges and high-rise structures, being above ground level, are hard to equip with the contact mechanical methods to inspect strains and displacements for structural health monitoring (SHM). A non-contact, optical and computer vision based full field measuring technique called digital image correlation (DIC) technique was developed in the recent past to specifically evaluate bridge decks. Generally, optical images of structure in field conditions are not acquired precisely perpendicular to the object, which instinctively affects the deformation results obtained during loading conditions. An unmanned aerial vehicle (UAV) equipped with DIC vision-based technique acts as a rapid and cost-effective tool to quantify the serviceability of bridges by measuring strains and displacements at inaccessible locations. In this study, a non-contact unmanned aerial vehicle image correlation (UAVIC) technique is used on a scaled bridge girder and a contact method of measuring deformations with a dial gauge. Both investigations are correlated for accuracy assessment, and it is understood that results in laboratory conditions are 90% accurate. Similarly, the UAVIC technique is also performed on a rail over the bridge in the field conditions to understand the feasibility of the proposed method and evaluate damage quantification of it.

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Experimental Evaluation of Unmanned Aerial System for Measuring Bridge Movement

Cited by 18 publications

References 38 publications

Risk-informed asset management to tackle scouring on bridges across transport networks

Risk-informed asset management to tackle scouring on bridges across transport networks

Tracking bridge tilt behaviour using sensor fusion techniques

RCC Structural Deformation and Damage Quantification Using Unmanned Aerial Vehicle Image Correlation Technique

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