Determination of vehicle loads on bridges by acoustic emission and an improved ensemble artificial neural network

KC Laxman, A Ross, L Ai, A Henderson… - … and Building Materials, 2023 - Elsevier
Bridges are significant hubs in the US national economy, facilitating the movement of goods
and vehicles. The condition of bridges in the state of South Carolina is currently under …

[图书][B] Acoustic emission monitoring and quantitative evaluation of damage in reinforced concrete members and bridges

A Nair - 2006 - search.proquest.com
A considerable proportion of highway bridges in the US, are made of reinforced concrete.
The vulnerability of these structures during their long service life is a cause of major concern …

Structural health evaluation of the prestressed concrete using advanced acoustic emission (AE) parameters

G Ma, Q Du - Construction and Building Materials, 2020 - Elsevier
Acoustic emission (AE) is a promising technology for structural health monitoring to reduce
costs and improve performance but hard to interpret. This paper puts forward an advanced …

Interpreting impact echo data to predict condition rating of concrete bridge decks: A machine-learning approach

A Sengupta, S Ilgin Guler, P Shokouhi - Journal of Bridge …, 2021 - ascelibrary.org
Maintaining the structural reliability of highway bridges under a budget constraint
necessitates the development of accurate prediction models of bridge deck deterioration to …

Acoustic emission monitoring of bridges: Review and case studies

A Nair, CS Cai - Engineering structures, 2010 - Elsevier
This paper gives a brief review of the acoustic emission technique and its applications to
bridge health monitoring. Emphasis is given to the discussion of available techniques of AE …

Structural health monitoring of bridges using acoustic emission technology

ACC Tan, M Kaphle… - 2009 8th International …, 2009 - ieeexplore.ieee.org
Bridges are important part of society's infrastructure and reliable methods are necessary to
monitor them and ensure their safety and efficiency. Bridges deteriorate with age and early …

Baseline models for bridge performance monitoring

MQ Feng, DK Kim, JH Yi, Y Chen - Journal of Engineering …, 2004 - ascelibrary.org
A baseline model is essential for long-term structural performance monitoring and
evaluation. This study represents the first effort in applying a neural network-based system …

Bridge damage identification using artificial neural networks

JC Weinstein, M Sanayei, BR Brenner - Journal of Bridge …, 2018 - ascelibrary.org
An objective, data-driven approach to evaluate the performance of bridges for developing a
structural health monitoring system is introduced as bridge behavior. A method of identifying …

Identification of structural damage in a vehicular bridge using artificial neural networks

C Gonzalez-Perez… - Structural Health …, 2011 - journals.sagepub.com
This article presents the application of artificial neural networks (ANNs) for the structural
damage detection to bending in the girders of a vehicular bridge. An analytical model of the …

Fracture acoustic emission signals identification of stay cables in bridge engineering application using deep transfer learning and wavelet analysis

H Xin, L Cheng, R Diender, M Veljkovic - Advances in Bridge Engineering, 2020 - Springer
Stay cables are typically exposed to the environment and traffic loading leading to
degradations due to corrosion and cyclic loading after years' in service. A non-destructive …