Emerging artificial intelligence methods in structural engineering
H Salehi, R Burgueño - Engineering structures, 2018 - Elsevier
Artificial intelligence (AI) is proving to be an efficient alternative approach to classical
modeling techniques. AI refers to the branch of computer science that develops machines …
modeling techniques. AI refers to the branch of computer science that develops machines …
Review of machine-learning techniques applied to structural health monitoring systems for building and bridge structures
A Gomez-Cabrera, PJ Escamilla-Ambrosio - Applied Sciences, 2022 - mdpi.com
This review identifies current machine-learning algorithms implemented in building
structural health monitoring systems and their success in determining the level of damage in …
structural health monitoring systems and their success in determining the level of damage in …
A temperature-driven MPCA method for structural anomaly detection
An important issue in structural health monitoring (SHM) is to develop appropriate
algorithms that can explicitly extract meaningful changes in measurements due to structural …
algorithms that can explicitly extract meaningful changes in measurements due to structural …
Thermal strain extraction methodologies for bridge structural condition assessment
This paper presents a feature extraction method to uncover the temperature effects on
bridge responses, which combines mode decomposition, data reduction, and blind …
bridge responses, which combines mode decomposition, data reduction, and blind …
Emerging applications of artificial intelligence in structural engineering and construction industry
With the beaming concept of Construction 4.0, the disciplines of structural engineering and
construction industry needs an advancement for the data collection, interpretation and …
construction industry needs an advancement for the data collection, interpretation and …
A Machine learning-based approach to determining stress in rails
M Belding, A Enshaeian… - Structural Health …, 2023 - journals.sagepub.com
Recent advancements in both software and hardware have sparked the use of machine
learning (ML) in structural health monitoring (SHM) applications. This paper delves into the …
learning (ML) in structural health monitoring (SHM) applications. This paper delves into the …
An algorithmic framework for reconstruction of time-delayed and incomplete binary signals from an energy-lean structural health monitoring system
Recent advances in energy harvesting technologies have led to the development of self-
powered structural health monitoring (SHM) techniques that are power-efficient. Energy …
powered structural health monitoring (SHM) techniques that are power-efficient. Energy …
An Integrated PCA-ICA Approach for Early-Stage Damage Detection
The combination of a model-free approach with Blind Source Separation (BSS) has
emerged as a robust strategy to detect structural damage in the field of Structural Health …
emerged as a robust strategy to detect structural damage in the field of Structural Health …
Machine Learning in stress corrosion crack characterisation from full matrix capture ultrasonic signal
X Zou - 2022 - repository.lboro.ac.uk
How can we monitor the growth of stress corrosion cracks (SCC) in an automated way
through ultrasonic inspection? With breakthroughs in machine learning society and …
through ultrasonic inspection? With breakthroughs in machine learning society and …
An Integrated PCA-ICA Approach for Early-Stage Damage Detection
The combination of a model-free approach with Blind Source Separation (BSS) has
emerged as a robust strategy to detect structural damage in the field of Structural Health …
emerged as a robust strategy to detect structural damage in the field of Structural Health …