State-of-the-art review on advancements of data mining in structural health monitoring
To date, data mining (DM) techniques, ie artificial intelligence, machine learning, and
statistical methods have been utilized in a remarkable number of structural health monitoring …
statistical methods have been utilized in a remarkable number of structural health monitoring …
A new hybrid PSO-YUKI for double cracks identification in CFRP cantilever beam
The durability and simplicity of the programming of meta-heuristic algorithms make them
important in the optimization field. This paper presents a novel application for double cracks …
important in the optimization field. This paper presents a novel application for double cracks …
Damage assessment in laminated composite plates using modal Strain Energy and YUKI-ANN algorithm
In this paper, a new hybrid YUKI-ANN is implemented for Structural Health Monitoring (SHM)
of laminated composite plates. A finite element model is constructed and used to identify …
of laminated composite plates. A finite element model is constructed and used to identify …
YUKI Algorithm and POD-RBF for Elastostatic and dynamic crack identification
This paper proposes a new metaheuristic algorithm with a search space reduction capability
guided by simple formalism. The search population focuses partially on the inside the local …
guided by simple formalism. The search population focuses partially on the inside the local …
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 …
Vibration-based crack prediction on a beam model using hybrid butterfly optimization algorithm with artificial neural network
Vibration-based damage detection methods have become widely used because of their
advantages over traditional methods. This paper presents a new approach to identify the …
advantages over traditional methods. This paper presents a new approach to identify the …
Optimization techniques for damage detection of composite structure: A review
NP Raut, AB Kolekar, SL Gombi - Materials Today: Proceedings, 2021 - Elsevier
Majority of the aerospace components are made up of composite materials. The composite
materials are prone to damage especially low velocity impacts which lead to loss of …
materials are prone to damage especially low velocity impacts which lead to loss of …
The application of PSO in structural damage detection: An analysis of the previously released publications (2005–2020)
The structural health monitoring (SHM) approach plays a key role not only in structural
engineering but also in other various engineering disciplines by evaluating the safety and …
engineering but also in other various engineering disciplines by evaluating the safety and …
A damage identification technique for beam-like and truss structures based on FRF and Bat Algorithm
In this paper, a Structural Health Monitoring (SHM) technique for damage identification in
beam-like and truss structures using Frequency Response Function (FRF) data coupled with …
beam-like and truss structures using Frequency Response Function (FRF) data coupled with …
Deep neural network and YUKI algorithm for inner damage characterization based on elastic boundary displacement
The efficiency of deep neural networks has been proven in several research fields. In this
study, we suggest using this method of inverse crack identification based on the structural …
study, we suggest using this method of inverse crack identification based on the structural …