Cited by Optimizing Bridge Scour Maintenance in Flood-Prone Areas: A Deep Reinforcement Learning Approach for Aging Infrastructure and Equity Enhancement

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

Paolo Borlenghi, Carmelo Gentile, Manuel D’Angelo

et al.

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

Citations

Extrapolating time development curves of clear-water scour around piles: From empirical fitting to physics-based approach DOI

S.Y. Wang,

Wen‐Gang Qi,

Biao Li

et al.

Ocean Engineering, Journal Year: 2024, Volume and Issue: 306, P. 117963 - 117963

Published: May 8, 2024

Language: Английский

Citations

Strategic assessment of bridge susceptibility to scour DOI

Moustafa Naiem Abdel-Mooty, Manu Sasidharan, Manuel Herrera

et al.

Reliability Engineering & System Safety, Journal Year: 2024, Volume and Issue: 251, P. 110334 - 110334

Published: July 11, 2024

Scour-induced failures of bridges pose a global challenge, leading to significant economic and service losses. Compounded by infrequent inspections inadequate consideration hydro-geological factors in current scour risk assessments, this issue is particularly pressing the context climate change associated hazards. Addressing imperative for enhanced infrastructure resilience, study introduces framework management. Utilizing Geographic Information Systems (GIS) datasets applying Analytic Hierarchy Process (AHP) assess various weighted affecting risk, we have systematically mapped information layers encompassing structural, riverine, geological, flood conduct strategic susceptibility assessment. The proposed approach applied railway network southeast England, identifying scour-susceptible that can be prioritized detailed inspections. Compared existing scores, scores approximately 30 region were adjusted, with 22 transitioning from medium high priority. Our methodology, exemplified case study, offers asset managers deeper insights into determinants facilitates informed decision-making prioritizing scour-mitigation measures across network.

Language: Английский

Citations

Modeling and Predicting Scour Hole Dimensions in Siphon Spillways: A Comparative Analysis of Finite-Element Method and Metaheuristic Approaches for Optimal Prediction DOI

Mehrdad Daghighi Masoule,

Hasan Ahmadi,

K. Nekofar

et al.

Journal of structural design and construction practice., Journal Year: 2025, Volume and Issue: 30(2)

Published: Jan. 7, 2025

Language: Английский

Citations

Optimizing Bridge Scour Maintenance in Flood-Prone Areas: A Deep Reinforcement Learning Approach for Aging Infrastructure and Equity Enhancement DOI

Amir Hosein Taherkhani, Weiwei Mo, Erin Santini‐Bell

et al.

Geotechnical Frontiers 2017, Journal Year: 2025, Volume and Issue: unknown, P. 41 - 48

Published: Feb. 27, 2025

Language: Английский

Citations