Machine learning and structural health monitoring overview with emerging technology and high-dimensional data source highlights

A Malekloo, E Ozer, M AlHamaydeh… - Structural Health …, 2022 - journals.sagepub.com
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 …

Towards next generation design of sustainable, durable, multi-hazard resistant, resilient, and smart civil engineering structures

H Hao, K Bi, W Chen, TM Pham, J Li - Engineering Structures, 2023 - Elsevier
The design philosophy and methodology of civil engineering structures have been
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

M Azimi, AD Eslamlou, G Pekcan - Sensors, 2020 - mdpi.com
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 …

[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 …

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 …

[HTML][HTML] Automated damage diagnosis of concrete jack arch beam using optimized deep stacked autoencoders and multi-sensor fusion

Y Yu, J Li, J Li, Y Xia, Z Ding, B Samali - Developments in the Built …, 2023 - Elsevier
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 …

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 …

Lost data reconstruction for structural health monitoring using deep convolutional generative adversarial networks

X Lei, L Sun, Y Xia - Structural Health Monitoring, 2021 - journals.sagepub.com
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 …

Data driven structural dynamic response reconstruction using segment based generative adversarial networks

G Fan, J Li, H Hao, Y Xin - Engineering Structures, 2021 - Elsevier
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 …

Vibration signal denoising for structural health monitoring by residual convolutional neural networks

G Fan, J Li, H Hao - Measurement, 2020 - Elsevier
In vibration based structural health monitoring (SHM), measurement noise inevitably exists
in the vibration data, which significantly influences the usability and quality of measured …