Results 131 to 140 of about 7,408,303 (251)

From Pixels to Predictions: Integrating Machine Learning and Digital Image Correlation for Damage Identification in Engineering Materials. [PDF]

Materials (Basel)
Sadeghian M, Palevicius A, Sablinskas J, Griskevicius P.   +3 more
europepmc   +1 more source

Exploration of Damage Identification Method for a Large-Span Timber Lattice Shell Structure in Taiyuan Botanical Garden based on Structural Health Monitoring. [PDF]

Sensors (Basel), 2023
Wang G, Xu C, Zhang S, Zhou Z, Zhang L, Qiu B, Wan J, Lei H.   +7 more
europepmc   +1 more source

Spectral feature extraction and ensemble learning for multiclass aircraft damage identification. [PDF]

MethodsX
Zade N, Gupte A, Gupta P, Detalle N, Mannion A, Voyle R.   +5 more
europepmc   +1 more source

Solution to the problem of bridge structure damage identification by a response surface method and an imperialist competitive algorithm. [PDF]

Sci Rep, 2022
Ye D, Xu Z, Liu Y.
europepmc   +1 more source

Research on damage identification in T-beam bridges based on strain influence lines. [PDF]

Sci Rep
Deng N, Xue W, Han Z, Hao T, Hu X, Ou J.
europepmc   +1 more source

Damage Identification of Semi-Rigid Joints in Frame Structures Based on Additional Virtual Mass Method. [PDF]

Sensors (Basel), 2022
An X, Zhang Q, Li C, Hou J, Shi Y.
europepmc   +1 more source

Damage Identification in Composite Wind Turbine Blades Using Relative Natural Frequency Changes and Bayesian Probability. [PDF]

Materials (Basel)
Kaewniam P, Wei Q, Gu H, Alkayem NF, Cao M.   +4 more
europepmc   +1 more source

Visible Particle Series Search Algorithm and Its Application in Structural Damage Identification. [PDF]

Sensors (Basel), 2022
Mohebian P, Aval SBB, Noori M, Lu N, Altabey WA.   +4 more
europepmc   +1 more source

SDFormer: A Novel Transformer Neural Network for Structural Damage Identification by Segmenting the Strain Field Map. [PDF]

Sensors (Basel), 2022
Li Z, Xu P, Xing J, Yang C.
europepmc   +1 more source

Drive-By Bridge Damage Identification Using Successive Variational Modal Decomposition and Vehicle Acceleration Response. [PDF]

Sensors (Basel)
Jiang X, Ma K, Wu J, Li Z.
europepmc   +1 more source