Applications of artificial intelligence for disaster management
Natural hazards have the potential to cause catastrophic damage and significant
socioeconomic loss. The actual damage and loss observed in the recent decades has …
socioeconomic loss. The actual damage and loss observed in the recent decades has …
[HTML][HTML] Unsupervised learning methods for data-driven vibration-based structural health monitoring: a review
Structural damage detection using unsupervised learning methods has been a trending
topic in the structural health monitoring (SHM) research community during the past decades …
topic in the structural health monitoring (SHM) research community during the past decades …
Review of bridge structural health monitoring aided by big data and artificial intelligence: From condition assessment to damage detection
Structural health monitoring (SHM) techniques have been widely used in long-span bridges.
However, due to limitations of computational ability and data analysis methods, the …
However, due to limitations of computational ability and data analysis methods, the …
A novel double-hybrid learning method for modal frequency-based damage assessment of bridge structures under different environmental variation patterns
Monitoring of modal frequencies under an unsupervised learning framework is a practical
strategy for damage assessment of civil structures, especially bridges. However, the key …
strategy for damage assessment of civil structures, especially bridges. However, the key …
Unsupervised deep learning approach using a deep auto-encoder with a one-class support vector machine to detect damage
This article proposes an unsupervised deep learning–based approach to detect structural
damage. Supervised deep learning methods have been proposed in recent years, but they …
damage. Supervised deep learning methods have been proposed in recent years, but they …
Convolutional neural network‐based data anomaly detection method using multiple information for structural health monitoring
Structural health monitoring (SHM) is used worldwide for managing and maintaining civil
infrastructures. SHM systems have produced huge amounts of data, but the effective …
infrastructures. SHM systems have produced huge amounts of data, but the effective …
Transmissibility-based system identification for structural health Monitoring: Fundamentals, approaches, and applications
The difficulty of achieving controlled input has led to the development of new output-only
structural health monitoring (SHM) approaches. Without measuring the input or assuming a …
structural health monitoring (SHM) approaches. Without measuring the input or assuming a …
Fast simulations for solving fracture mechanics inverse problems using POD-RBF XIGA and Jaya algorithm
An inverse algorithm based on Proper Orthogonal Decomposition (POD) and Radial Basis
Functions (RBF) for single and multiple cracks identification in plate structures is presented …
Functions (RBF) for single and multiple cracks identification in plate structures is presented …
Crack identification method in beam-like structures using changes in experimentally measured frequencies and Particle Swarm Optimization
S Khatir, K Dekemele… - Comptes …, 2018 - comptes-rendus.academie-sciences …
In this paper, a technique is presented for the detection and localization of an open crack in
beam-like structures using experimentally measured natural frequencies and the Particle …
beam-like structures using experimentally measured natural frequencies and the Particle …
Damage assessment in structures using combination of a modified Cornwell indicator and genetic algorithm
This paper presents a new methodology for damage identification and quantification in two-
and three-dimensional structures. The application of the proposed methodology is …
and three-dimensional structures. The application of the proposed methodology is …