Investigation into the Damage State and Safety Assessment of Concrete Bridge Deck Slabs

Author:

Ding Sheng-Xuan1,Li Ji-Ren1,Yang Jia1,Liu Peng-Lin1,Wei Jia-Liang1,Zhang Chuan-Jun1

Affiliation:

1. University of Science and Technology Liaoning

Abstract

Abstract

The present study introduces an analytical approach grounded in fuzzy hierarchical analysis, aimed at detecting and analyzing bridge deck deterioration, with the overarching objective of enhancing the efficiency and safety of bridge maintenance operations.This methodology assesses the structural integrity of bridge deck slabs by scrutinizing variables including traffic volume, service life, traffic duration, temperature, and other pertinent factors, followed by meticulous weight calculation.Employing finite element modeling and computational techniques, this study delves into the analysis of principal stress and displacement distribution across the bridge deck, both pre- and post-reinforcement measures.This analysis serves as a pivotal reference point for maintenance endeavors, ensuring the structural integrity and safety of the bridge infrastructure.Moreover, this approach enables prompt implementation of repair and reinforcement measures, mitigating the risk of accidents and concurrently augmenting the efficacy and safety standards of bridge maintenance protocols.Given the pivotal role of transportation infrastructure in societal development, the efficacy of such measures bears significant ramifications for overall transport advancement.

Publisher

Research Square Platform LLC

Reference28 articles.

1. Jiang C, Xiong W, Wang Z, et al. Transverse Connectivity and Durability Evaluation of Hollow Slab Bridges Using Surface Damage and Neural Networks: Field Test Investigation[J]. Applied Sciences,13(8): 4851 (2023) 2. Gordan M. Data mining for structural damage identification using hybrid artificial neural network based algorithm for beam and slab girder[D]. University of Malaya (Malaysia), (2020).

2. Application of analytical hierarchy process for structural health monitoring and prioritizing concrete bridges in iran[J];Darban S;Applied Sciences,2021

3. Review of bridge structural health monitoring aided by big data and artificial intelligence: From condition assessment to damage detection[J];Sun L;Journal of Structural Engineering,2020

4. Meisam G. Data mining for structural damage identification using hybrid artificial neural network based algorithm for beam and slab girder/Meisam Gordan[D]. Universiti Malaya, (2020).

5. Performance of NDT techniques in appraising condition of reinforced concrete bridge decks[J];Omar T;Journal of performance of constructed facilities,2017

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