Jia, Yonghao; Chen, Xiulong; Zhang, Lianzhen; Ning, Chengsi Dynamic characteristics and reliability analysis of parallel mechanism with clearance joints and parameter uncertainties. (English) Zbl 1526.70006 Meccanica 58, No. 4, 813-842 (2023). MSC: 70E55 68T05 PDFBibTeX XMLCite \textit{Y. Jia} et al., Meccanica 58, No. 4, 813--842 (2023; Zbl 1526.70006) Full Text: DOI
Dang, Chao; Valdebenito, Marcos A.; Song, Jingwen; Wei, Pengfei; Beer, Michael Estimation of small failure probabilities by partially Bayesian active learning line sampling: theory and algorithm. (English) Zbl 07692976 Comput. Methods Appl. Mech. Eng. 412, Article ID 116068, 20 p. (2023). MSC: 62-XX 68-XX PDFBibTeX XMLCite \textit{C. Dang} et al., Comput. Methods Appl. Mech. Eng. 412, Article ID 116068, 20 p. (2023; Zbl 07692976) Full Text: DOI
Hong, Linxiong; Shang, Bin; Li, Shizheng; Li, Huacong; Cheng, Jiaming Portfolio allocation strategy for active learning kriging-based structural reliability analysis. (English) Zbl 07692974 Comput. Methods Appl. Mech. Eng. 412, Article ID 116066, 21 p. (2023). MSC: 68-XX 91-XX PDFBibTeX XMLCite \textit{L. Hong} et al., Comput. Methods Appl. Mech. Eng. 412, Article ID 116066, 21 p. (2023; Zbl 07692974) Full Text: DOI
Jia, Da-Wei; Wu, Zi-Yan A Laplace asymptotic integral-based reliability analysis method combined with artificial neural network. (English) Zbl 1505.90048 Appl. Math. Modelling 105, 406-422 (2022). MSC: 90B25 62N05 60E10 68T07 PDFBibTeX XMLCite \textit{D.-W. Jia} and \textit{Z.-Y. Wu}, Appl. Math. Modelling 105, 406--422 (2022; Zbl 1505.90048) Full Text: DOI
Zhou, Yanxun; Zhang, Yimin; Yao, Guo Probabilistic analysis of dynamic stability for a rotating BDFG tapered beam with time-varying velocity and stochastic parameters. (English) Zbl 1480.74146 Acta Mech. 232, No. 4, 1709-1728 (2021). MSC: 74H55 74K10 74S60 74E05 74H15 68T05 PDFBibTeX XMLCite \textit{Y. Zhou} et al., Acta Mech. 232, No. 4, 1709--1728 (2021; Zbl 1480.74146) Full Text: DOI
Li, T. Z.; Pan, Q.; Dias, D. Active learning relevant vector machine for reliability analysis. (English) Zbl 1476.62214 Appl. Math. Modelling 89, Part 1, 381-399 (2021). MSC: 62N05 68T05 90B25 PDFBibTeX XMLCite \textit{T. Z. Li} et al., Appl. Math. Modelling 89, Part 1, 381--399 (2021; Zbl 1476.62214) Full Text: DOI
Guo, Qing; Liu, Yongshou; Liu, Xiaohan; Chen, Bingqian; Yao, Qin Fatigue dynamic reliability and global sensitivity analysis of double random vibration system based on Kriging model. (English) Zbl 1466.74012 Inverse Probl. Sci. Eng. 28, No. 11, 1648-1667 (2020). MSC: 74H45 74R99 74S60 62N05 68T05 PDFBibTeX XMLCite \textit{Q. Guo} et al., Inverse Probl. Sci. Eng. 28, No. 11, 1648--1667 (2020; Zbl 1466.74012) Full Text: DOI
Ling, Chunyan; Lu, Zhenzhou; Sun, Bo; Wang, Minjie An efficient method combining active learning kriging and Monte Carlo simulation for profust failure probability. (English) Zbl 1452.62732 Fuzzy Sets Syst. 387, 89-107 (2020). MSC: 62N05 62N86 65C05 68T05 PDFBibTeX XMLCite \textit{C. Ling} et al., Fuzzy Sets Syst. 387, 89--107 (2020; Zbl 1452.62732) Full Text: DOI
Lv, Zhaoyan; Lu, Zhenzhou; Wang, Pan A new learning function for kriging and its applications to solve reliability problems in engineering. (English) Zbl 1443.62321 Comput. Math. Appl. 70, No. 5, 1182-1197 (2015). MSC: 62N05 62M30 62-08 68T05 PDFBibTeX XMLCite \textit{Z. Lv} et al., Comput. Math. Appl. 70, No. 5, 1182--1197 (2015; Zbl 1443.62321) Full Text: DOI