Machine learning-based methods in structural reliability analysis: A review

By Sajad Saraygord Afshari, F. Enayatollahi, X. Xu, Xihui Liang. Reliability Engineering & System Safety, 2021

353 citations recorded by the source corpus.

Subfields: Civil and Structural Engineering, Mechanics of Materials, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/8fa5bff6673bc866927d0e126341fcabdad69e50

Citations in the corpus

• Support vector machine in structural reliability analysis: A review (2023, neutral): “In this regard, two excellent review articles [48,49] on machine learning-based methods for reliability analysis, which partly discussed the development of SVM for SRA applications along with other different machine learning-80 based metamodels like ANN, Kriging etc., are notable [48,49].”