Remaining useful life prediction of pipelines considering the crack coupling effect using genetic algorithm-back propagation neural network

Cracking particles: a simplified meshfree method for arbitrary evolving cracks

Timon Rabczuk, Ted Belytschko · International Journal for Numerical Methods in Engineering · 2004 · 1.7K citations

Engineering, Computational Engineering, Mechanical Engineering +17

A simple and robust three-dimensional cracking-particle method without enrichment

Timon Rabczuk, Goangseup Zi, Stéphane Bordas et al. · Computer Methods in Applied Mechanics and Engineering · 2010 · 943 citations

Engineering, Computational Engineering, Mechanical Engineering +11

Use of neural networks in detection of structural damage

Xiaomin Wu, J. Ghaboussi, James H. Garrett · Computers & Structures · 1992 · 528 citations

Engineering, Civil Engineering, Computer Science +14

Phase field modeling of quasi-static and dynamic crack propagation: COMSOL implementation and case studies

Shuwei Zhou, Timon Rabczuk, Xiaoying Zhuang · Advances in Engineering Software · 2018 · 436 citations · Full text

Engineering, Materials Engineering, Materials Science +16

Review of artificial intelligence applications in engineering design perspective

Nurullah Yüksel, Hüseyin Rıza Börklü, Hüseyin Kürşad Sezer et al. · Engineering Applications of Artificial Intelligence · 2022 · 224 citations

Architecture, Computational Engineering, Systems Engineering +14