Invited perspectives: Challenges and future directions in improving bridge flood resilience

Natural hazards and earth system sciences, Journal Year: 2022, Volume and Issue: 22(3), P. 795 - 812

Published: March 10, 2022

Abstract. Bridges are critical-infrastructure components of road and rail transport networks. A large number these critical assets cross or adjacent to waterways floodplains therefore exposed flood actions such as scour, hydrodynamic loading, inundation, all which exacerbated by debris accumulations. These stressors widely recognized responsible for the vast majority bridge failures around world, they expected be due climate change. While efforts have been made increase robustness bridges hazard, many scientific technical gaps remain. were explored during an expert workshop that took place in April 2021 with participation academics, consultants, decision makers operating mainly United Kingdom specializing fields risk assessment management resilience. The objective was identify prioritize most urgent significant impediments In particular, following issues, established at different levels scales resilience, identified analysed depth: (i) characterization effects floods on typologies, (ii) uncertainties formulae scour depth assessment, (iii) evaluation consequences damage, (iv) recovery process after (v) decision-making under uncertainty flood-critical bridges, (vi) use event forecasting monitoring data increasing reliability estimations. issues discussed this paper inform other researchers stakeholders worldwide, guide directions future research field, influence policies mitigation rapid response warnings, ultimately

Language: Английский

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Advancing bridge resilience: a review of monitoring technologies for flood-prone infrastructure

Open Research Europe, Journal Year: 2025, Volume and Issue: 5, P. 26 - 26

Published: Jan. 27, 2025

Floods pose a critical threat to bridge infrastructure, which plays an essential role in transportation networks and economic resilience. This review examines state-of-the-art Structural Health Monitoring (SHM) technologies tailored mitigate flood risks, focusing on their real-world applications flood-prone bridges. A central feature of this is the extensive use case studies, illustrating diverse SHM methods applied globally monitor challenges such as debris accumulation, hydrodynamic forces, scour—primary causes failures. These examples provide detailed insights into like sonar-based devices, scour probes, photographic monitoring, rotation- vibration-based techniques. By showcasing specific studies—such bridges monitored using smart magnetic rocks, Interferometric Synthetic Aperture Radar (InSAR), fibre optic sensors—the highlights practical outcomes, demonstrating how systems enhance resilience through early detection predictive maintenance. It also explores implementing these systems, including environmental sensitivity, cost, data complexity, while identifying gaps integrating hydraulic structural for holistic risk assessments. advocates multidisciplinary collaboration advanced data-driven solutions, AI-based maintenance, address climate change impacts increasing risks. bridging cutting-edge research with applications, article provides actionable scalable, adaptive inspiring engineers researchers develop more resilient infrastructure changing world.

Language: Английский

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Advancing bridge resilience: a review of monitoring technologies for flood-prone infrastructure

Open Research Europe, Journal Year: 2025, Volume and Issue: 5, P. 26 - 26

Published: March 17, 2025

Floods pose a critical threat to bridge infrastructure, which plays an essential role in transportation networks and economic resilience. This review examines state-of-the-art Structural Health Monitoring (SHM) technologies tailored mitigate flood risks, focusing on their real-world applications flood-prone bridges. A central feature of this is the extensive use case studies, illustrating diverse SHM methods applied globally monitor challenges such as debris accumulation, hydrodynamic forces, scour-primary causes failures. These examples provide detailed insights into like sonar-based devices, scour probes, photographic monitoring, rotation- vibration-based techniques. By showcasing specific studies-such bridges monitored using smart magnetic rocks, Interferometric Synthetic Aperture Radar (InSAR), fibre optic sensors-the highlights practical outcomes, demonstrating how systems enhance resilience through early detection predictive maintenance. It also explores implementing these systems, including environmental sensitivity, cost, data complexity, while identifying gaps integrating hydraulic structural for holistic risk assessments. advocates multidisciplinary collaboration advanced data-driven solutions, AI-based maintenance, address climate change impacts increasing risks. bridging cutting-edge research with applications, article provides actionable scalable, adaptive inspiring engineers researchers develop more resilient infrastructure changing world.

Language: Английский

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Damage metrics for masonry bridges under scour scenarios

Engineering Structures, Journal Year: 2023, Volume and Issue: 296, P. 116914 - 116914

Published: Sept. 26, 2023

Language: Английский

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Technical and organizational challenges in the risk management of road infrastructures

Journal of Risk Research, Journal Year: 2022, Volume and Issue: 25(6), P. 791 - 806

Published: Jan. 20, 2022

This paper outlines a theoretical framework for the risk management of road infrastructures from perspective organizational studies and engineering science. The moves beyond traditional approach analysing each infrastructure in isolation, adopts emerging systemic aimed at optimizing interrelation between infrastructures, while same time extending this by considering actors as well infrastructures. initial focus is on interaction parts (infrastructure related actors) within system administrative boundaries) with two modes: coordination fragmentation. choice fragmentation depends span safety level risk. Furthermore, offer useful insights decision-makers addressing specific modes governance avoiding lack cooperation ineffective responses. then examines satellite data obtained differential interferometric synthetic aperture radar (DInSAR) geographical information (GIS) platform. aim to identify system, concerning actors, assess levels intended most appropriate mode. potential was tested sample area Rome (Italy), results reveal significant common negligible risk, subspan moderate In first case, desirable. As result, long-term fully shared solutions can be adopted, including joint planning operations standard operating rules. second indicated, more flexible characterized sharing local autonomy.

Language: Английский

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Scour Detection with Monitoring Methods and Machine Learning Algorithms—A Critical Review

Applied Sciences, Journal Year: 2023, Volume and Issue: 13(3), P. 1661 - 1661

Published: Jan. 28, 2023

Foundation scour is a widespread reason for the collapse of bridges worldwide. However, assessing complex task, which requires comprehensive understanding phenomenon. This literature review first presents recent detection techniques and approaches. Direct indirect monitoring machine learning algorithm-based studies are investigated in detail following sections. The approaches, models, characteristics data, other input properties outlined. outcomes given with their advantages limitations. Finally, assessments provided at synthesis research.

Language: Английский

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Low-Cost Microcontroller-Based Multiparametric Probe for Coastal Area Monitoring

Sensors, Journal Year: 2023, Volume and Issue: 23(4), P. 1871 - 1871

Published: Feb. 7, 2023

The monitoring of the coastal environment is a crucial factor in ensuring its proper management. Nevertheless, existing technologies are limited due to their cost, temporal resolution, and maintenance needs. Therefore, data available for environments. In this paper, we present low-cost multiparametric probe that can be deployed areas integrated into wireless sensor network send database. composed physical sensors capable measuring water temperature, salinity, total suspended solids (TSS). node store an SD card or them. A real-time clock used tag ensure gathering every hour, putting deep sleep mode meantime. salinity TSS created calibrated. calibration results indicate no effect temperature found both interference vice versa. obtained model characterised by correlation coefficient 0.9 Mean Absolute Error (MAE) 0.74 g/L. Meanwhile, different models were based on using light wavelengths. best case was simple regression with blue light. 0.99 MAE 12 mg/L. When infrared prevent particle sizes, determination 0.98 57 mg/L multiple model.

Language: Английский

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Long-term monitoring of a masonry arch bridge to evaluate scour effects

Construction and Building Materials, Journal Year: 2023, Volume and Issue: 411, P. 134580 - 134580

Published: Dec. 19, 2023

Evaluating the scour effects on masonry arch bridges is of utmost importance to ensure continued operational safety those infrastructures. Even if numerical and laboratory studies have demonstrated possibility detecting scour-induced by measuring structural response bridges, there a lack long-term monitoring applications real structures. Within this context, paper presents selected results obtained during two years continuous historical bridge evaluate effects. Firstly, on-site inspections revealed severe foundation erosion extensive documentary research was carried out identify depth level. Subsequently, system installed in bridge, including several MEMS-based tiltmeters, 1 echosounder, hydrometer weather station. The correlation between measured rotations environmental parameters investigated linear regression model used minimize/remove temperature-induced residual errors predicted highlighted occurrence various anomalies.

Language: Английский

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Condition Monitoring of Railway Bridges Using Vehicle Pitch to Detect Scour

Sensors, Journal Year: 2024, Volume and Issue: 24(5), P. 1684 - 1684

Published: March 5, 2024

This study proposes the new condition monitoring concept of using features in measured rotation, or ‘pitch’ signal, a crossing vehicle as an indicator presence foundation scour bridge. The is explored through two-dimensional vehicle–bridge interaction modelling, with reduction stiffness under pier used to represent effects scour. A train consisting three 10-degree-of-freedom carriages cross model on profiled track, each varying slightly terms mass and velocity. An analysis pitch can clearly identify when present. further tested scaled laboratory experiment tractor–trailer four-span simply supported bridge piers. support represented by four springs pier, which be replaced reduced mimic effect also consistently shows divergence between healthy scoured states.

Language: Английский

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Using Bayesian networks for the assessment of underwater scour for road and railway bridges

Structural Health Monitoring, Journal Year: 2020, Volume and Issue: 20(5), P. 2446 - 2460

Published: Oct. 6, 2020

Flood-induced scour is among the most common external causes of bridge failures worldwide. In United States, cause 22 bridges fails every year, whereas in UK, it contributed significantly to 138 collapses last century. Scour assessments are currently based on visual inspections, which time-consuming and expensive. Nowadays, sensor communication technologies offer possibility assess real time depth at critical locations; yet, monitoring an entire infrastructure network not economically feasible. A way overcome this limitation instal systems locations, then extend piece information gained other assets exploiting correlations present system. article, we propose a hazard model for road railway management that utilises from limited number achieve more confined estimate risk network. Bayesian used describe conditional dependencies involved random variables update distribution using data river flow characteristics. This study constitutes first application networks assessment. The proposed probabilistic framework applied case consisting several Scotland. cross same river, only one them instrumented with It demonstrated how approach allows reduce uncertainty unmonitored bridges.

Language: Английский

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