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Research article

First published 2009-12

Water Absorbance Pattern of Physically-Damaged Mushrooms Stored at Ambient Conditions

Carlos Esquerre, Aoife A. Gowen, Colm P. O'Donnell [...]

Journal of Near Infrared Spectroscopy

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Research article

First published 2015-8

Prediction of damage in the hole-flanging process using a physically based approach

Ahmed Kacem, Abdelkader Krichen, Pierre-Yves Manach

International Journal of Damage Mechanics

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Research article

First published 2023-2

Physical model test and numerical simulation study of cumulative damage to deep tunnel surrounding rock under cyclic blasting load

Jiang Huang, Shi-Hai Chen, Min-Long Liu [...]

International Journal of Damage Mechanics

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Research article

First published 2025

Structural damage identification based on physics-guided deep learning: applications to large-scale structures

Yongzhi Lei, Jun Li, Hong Hao

Structural Health Monitoring

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Research article

First published 2026

Physics-guided spatiotemporal learning with invariant graph for cross-domain structural damage identification

Jianhui Yang, Pulin Pu, Qingxuan Zhao

Structural Health Monitoring

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Research article

First published 2025

Accelerating Bayesian inference of structural damage detection based on physics-guided CNN and zero-shot transfer learning

Rongrong Hou, Linwang Che, Yuequan Bao

Structural Health Monitoring

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Research article

First published 2021-7

Structural damage identification via physics-guided machine learning: a methodology integrating pattern recognition with finite element model updating

Zhiming Zhang, Chao Sun

Structural Health Monitoring

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Research article

First published 2018-8

A physically motivated model for fatigue damage of concrete

Ding Zhaodong, Li Jie

International Journal of Damage Mechanics

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Research article

First published 2024-2

City-scale buildings damage estimation based on broadband physics-based ground motion simulation of 2021 M s 6.4 Yangbi,China,earthquake

Fangbo Wang, Yaowen Zhang, Xuchuan Lin [...]

Earthquake Spectra

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Research article

First published 2025-11

Predicting the fatigue life of additively manufactured AlSi10Mg alloy using a physics-informed neural network incorporating continuous damage mechanics

Qimin Wu, Haijie Wang, Bo Li

Proceedings of the Institution of Mechanical Engineers,Part B: Journal of Engineering Manufacture

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