Journal ArticleDOI
A deep learning platform for evaluating energy loss parameter in engineering structures
TLDR
This study improves the model of Hooke’s traditional linear mechanical change using a nonlinear model to truly express the nature of structures in reality and adds to the current framework regarding changes in the mechanical properties of a material according to the Kelvin-Voigt model.About:
This article is published in Structures.The article was published on 2021-12-01. It has received 4 citations till now. The article focuses on the topics: Structural health monitoring.read more
Citations
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Journal ArticleDOI
State-of-the-art and annual progress of bridge engineering in 2021
Renda Zhao,Kaifeng Zheng,Xing Wei,Hongyu Jia,Xiaozhen Li,Qinghua Zhang,Guoji Xu,Yulin Zhan,Ruili Shen,Fang Zhang,Qianhui Pu,Hongye Gou,Chuanjin Yu +12 more
TL;DR: Wang et al. as discussed by the authors introduced the main research progress in China and abroad in 2021 from 12 aspects, including bridge structure and analysis theories, including concrete bridge and high-performance materials, steel bridges, composite girders and cable-supported bridge analysis theories.
Journal ArticleDOI
Using viscous resistance system based on machine learning in engineering concrete structures
TL;DR: In this article , the authors proposed a nonlinear model to evaluate structural change in concrete structures by combining a structural model and an unstructured model, based on the Hooke's Law principle.
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PSD characteristics for the random vibration signals used in bridge structural health monitoring in Vietnam based on a multi-sensor system
TL;DR: In this paper , two parameters, including the appearance frequency of harmonics (AFH) and the change in shape of the power spectral density (PSD), are examined to assess the decline in stiffness of a bridge span.
References
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Journal ArticleDOI
Detection of structural damage through changes in frequency: a review
TL;DR: The use of natural frequency as a diagnostic parameter in structural assessment procedures using vibration monitoring is discussed in this paper, based on the fact that natural frequencies are sensitive indicators of structural integrity.
Journal ArticleDOI
Ecologically sustainable water management: managing river flows for ecological integrity
TL;DR: In this article, the authors propose a framework for developing an ecologically sustainable water management program, in which human needs for water are met by storing and diverting water in a manner that can sustain or restore the ecological integrity of affected river ecosystems.
Journal ArticleDOI
Artificial neural network methods for the solution of second order boundary value problems
TL;DR: A method for solving partial differential equations using artificial neural networks and an adaptive collocation strategy that increases the robustness of the neural network approximation and can result in significant computational savings, particularly when the solution is non-smooth.
Journal ArticleDOI
Emerging artificial intelligence methods in structural engineering
Hadi Salehi,Rigoberto Burgueño +1 more
TL;DR: Techniques concerning applications of the noted AI methods in structural engineering developed over the last decade are summarized.
Journal ArticleDOI
Review of Bridge Structural Health Monitoring Aided by Big Data and Artificial Intelligence: From Condition Assessment to Damage Detection
TL;DR: This work has shown that structural health monitoring techniques have been widely used in long-span bridges but, due to limitations of computational ability and data analysis methods, the knowledge in these techniques is limited.
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