Machine learning and structural health monitoring overview with emerging technology and high-dimensional data source highlights
Conventional damage detection techniques are gradually being replaced by state-of-the-art
smart monitoring and decision-making solutions. Near real-time and online damage …
smart monitoring and decision-making solutions. Near real-time and online damage …
Towards next generation design of sustainable, durable, multi-hazard resistant, resilient, and smart civil engineering structures
The design philosophy and methodology of civil engineering structures have been
constantly evolving, from the early strength-based to more recent performance-based design …
constantly evolving, from the early strength-based to more recent performance-based design …
Data-driven structural health monitoring and damage detection through deep learning: State-of-the-art review
Data-driven methods in structural health monitoring (SHM) is gaining popularity due to
recent technological advancements in sensors, as well as high-speed internet and cloud …
recent technological advancements in sensors, as well as high-speed internet and cloud …
[PDF][PDF] A review on deep learning-based structural health monitoring of civil infrastructures
XW Ye, T Jin, CB Yun - Smart Struct. Syst, 2019 - researchgate.net
In the past two decades, structural health monitoring (SHM) systems have been widely
installed on various civil infrastructures for the tracking of the state of their structural health …
installed on various civil infrastructures for the tracking of the state of their structural health …
Methodological-technological framework for construction 4.0
F Muñoz-La Rivera, J Mora-Serrano, I Valero… - … methods in engineering, 2021 - Springer
The construction industry has traditionally been characterised by the high diversity of its
agents and processes, high resistance to change and low incorporation of technology …
agents and processes, high resistance to change and low incorporation of technology …
[HTML][HTML] Automated damage diagnosis of concrete jack arch beam using optimized deep stacked autoencoders and multi-sensor fusion
A novel hybrid framework of optimized deep learning models combined with multi-sensor
fusion is developed for condition diagnosis of concrete arch beam. The vibration responses …
fusion is developed for condition diagnosis of concrete arch beam. The vibration responses …
The current development of structural health monitoring for bridges: a review
Z Deng, M Huang, N Wan, J Zhang - Buildings, 2023 - mdpi.com
The health monitoring system of a bridge is an important guarantee for the safe operation of
the bridge and has always been a research hotspot in the field of civil engineering. This …
the bridge and has always been a research hotspot in the field of civil engineering. This …
Lost data reconstruction for structural health monitoring using deep convolutional generative adversarial networks
In the application of structural health monitoring, the measured data might be temporarily or
permanently lost due to sensor fault or transmission failure. The measured data with a high …
permanently lost due to sensor fault or transmission failure. The measured data with a high …
Data driven structural dynamic response reconstruction using segment based generative adversarial networks
Reconstruction of lost responses under external loads, eg ambient and seismic loading
conditions, is important for structural health monitoring to evaluate the safety of structures …
conditions, is important for structural health monitoring to evaluate the safety of structures …
Vibration signal denoising for structural health monitoring by residual convolutional neural networks
In vibration based structural health monitoring (SHM), measurement noise inevitably exists
in the vibration data, which significantly influences the usability and quality of measured …
in the vibration data, which significantly influences the usability and quality of measured …