A novel retrofitting strategy for restoring railway masonry arch bridge undergoing failure by settlement due to scouring

B, Arun Sundaram; M, Aravindan; Voggu, Srinivas; A, Kanchana Devi; S, Parivallal; Padmanaban, Prathebha

doi:10.1016/j.engfailanal.2023.107694

Engineering Failure Analysis

2023

DOI: 10.1016/j.engfailanal.2023.107694

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A novel retrofitting strategy for restoring railway masonry arch bridge undergoing failure by settlement due to scouring

Arun Sundaram B,

Aravindan M,

Srinivas Voggu

et al.

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2024

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Cited by 2 publications

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Failure analysis of existing structures and infrastructures under extreme events and long-term actions

Bento,

Milani,

Mosoarca

et al. 2024

Engineering Failure Analysis

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Failure analysis of existing structures and infrastructures under extreme events and long-term actions

Bento,

Milani,

Mosoarca

et al. 2024

Engineering Failure Analysis

View full text Add to dashboard Cite

A neural network‐based automated methodology to identify the crack causes in masonry structures

Iannuzzo,

Musone,

Ruocco

2024

Computer aided Civil Eng

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Most masonry constructions exhibit significant crack patterns caused by differential foundation settlements. While modern numerical methods effectively address forward displacement‐based problems, identifying the settlement causing a specific crack pattern remains an unsolved yet crucial challenge. For the first time, this research solves this highly non‐linear back‐engineering problem by proposing a robust and automated methodology synergizing artificial neural networks (ANNs) and the piecewise rigid displacement (PRD) method. The PRD's fast computational solving allows the generation of large datasets used to train specific ANNs through Levenberg–Marquardt and conjugate gradient algorithms. Using the location and widths of the main structural cracks as input, the proposed approach offers an instantaneous and accurate ANN‐based identification of foundation settlements that cause the detected damage scenario. The method is first validated on semicircular arches, and after that, its potential and effectiveness are demonstrated in a real engineering scenario, represented by the Deba bridge in Spain.

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A novel retrofitting strategy for restoring railway masonry arch bridge undergoing failure by settlement due to scouring

Cited by 2 publications

References 24 publications

Failure analysis of existing structures and infrastructures under extreme events and long-term actions

Failure analysis of existing structures and infrastructures under extreme events and long-term actions

A neural network‐based automated methodology to identify the crack causes in masonry structures

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