Machine learning aided static structural reliability analysis for functionally graded frame structures

Applied Mathematical Modelling ◽

10.1016/j.apm.2019.10.007 ◽

2020 ◽

Vol 78 ◽

pp. 792-815 ◽

Author(s):

Qihan Wang ◽

Qingya Li ◽

Di Wu ◽

Yuguo Yu ◽

Francis Tin-Loi ◽

...

Keyword(s):

Machine Learning ◽

Reliability Analysis ◽

Structural Reliability ◽

Functionally Graded ◽

Frame Structures ◽

Structural Reliability Analysis

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Gaussian Process Machine-Learning Method for Structural Reliability Analysis

Advances in Structural Engineering ◽

10.1260/1369-4332.17.9.1257 ◽

2014 ◽

Vol 17 (9) ◽

pp. 1257-1270 ◽

Author(s):

Guoshao Su ◽

Bo Yu ◽

Yilong Xiao ◽

Liubin Yan

Keyword(s):

Machine Learning ◽

Gaussian Process ◽

Reliability Analysis ◽

Structural Reliability ◽

Machine Learning Method ◽

Learning Method ◽

Structural Reliability Analysis

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Machine Learning-Based Methods in Structural Reliability Analysis: A Review

Reliability Engineering & System Safety ◽

10.1016/j.ress.2021.108223 ◽

2021 ◽

pp. 108223

Author(s):

Sajad Saraygord Afshari ◽

Fatemeh Enayatollahi ◽

Xiangyang Xu ◽

Xihui Liang

Keyword(s):

Machine Learning ◽

Reliability Analysis ◽

Structural Reliability ◽

Structural Reliability Analysis

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Hybrid enhanced Monte Carlo simulation coupled with advanced machine learning approach for accurate and efficient structural reliability analysis

Computer Methods in Applied Mechanics and Engineering ◽

10.1016/j.cma.2021.114218 ◽

2022 ◽

Vol 388 ◽

pp. 114218

Author(s):

Changqi Luo ◽

Behrooz Keshtegar ◽

Shun Peng Zhu ◽

Osman Taylan ◽

Xiao-Peng Niu

Keyword(s):

Machine Learning ◽

Monte Carlo Simulation ◽

Monte Carlo ◽

Reliability Analysis ◽

Structural Reliability ◽

Learning Approach ◽

Structural Reliability Analysis ◽

Machine Learning Approach

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Structural reliability analysis considering pitting corrosion failures

Recent Developments on Reliability, Maintenance and Safety ◽

10.2495/qr2mse140771 ◽

2015 ◽

Author(s):

C. Y. Xie

Keyword(s):

Reliability Analysis ◽

Pitting Corrosion ◽

Structural Reliability ◽

Structural Reliability Analysis

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A new response surface approach for structural reliability analysis

10.2514/6.1992-2408 ◽

1992 ◽

Author(s):

B. THACKER ◽

X.-T. WU

Keyword(s):

Reliability Analysis ◽

Response Surface ◽

Structural Reliability ◽

Surface Approach ◽

Structural Reliability Analysis

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Structural Reliability Analysis of Corroded Pipeline made in X60 Steel Based on M5 Model Tree Algorithm and Monte Carlo Simulation

Procedia Structural Integrity ◽

10.1016/j.prostr.2018.12.349 ◽

2018 ◽

Vol 13 ◽

pp. 1670-1675 ◽

Author(s):

Mohamed Seghier ◽

Behrooz Keshtegar ◽

José Correia ◽

Abílio De Jesus ◽

G. Lesiuk

Keyword(s):

Monte Carlo Simulation ◽

Monte Carlo ◽

Reliability Analysis ◽

Structural Reliability ◽

M5 Model Tree ◽

Tree Algorithm ◽

Structural Reliability Analysis ◽

M5 Model ◽

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A novel hybrid PIPSO–WSVR method for structural reliability analysis

Journal of the Brazilian Society of Mechanical Sciences and Engineering ◽

10.1007/s40430-020-02716-5 ◽

2021 ◽

Vol 43 (1) ◽

Author(s):

Chunrong Wang ◽

Erdong Xia

Keyword(s):

Reliability Analysis ◽

Structural Reliability ◽

Structural Reliability Analysis

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Adaptive subset searching-based deep neural network method for structural reliability analysis

Reliability Engineering & System Safety ◽

10.1016/j.ress.2021.107778 ◽

2021 ◽

pp. 107778

Author(s):

Yuequan Bao ◽

Zhengliang Xiang ◽

Hui Li

Keyword(s):

Neural Network ◽

Reliability Analysis ◽

Deep Neural Network ◽

Structural Reliability ◽

Neural Network Method ◽

Structural Reliability Analysis ◽

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Approximate Importance Sampling Approach Based on DSmT in Structural Reliability Analysis

Design, Construction, Rehabilitation, and Maintenance of Bridges ◽

10.1061/47630(409)6 ◽

2011 ◽

Author(s):

Donghua Chen ◽

Bohai Ji

Keyword(s):

Reliability Analysis ◽

Importance Sampling ◽

Structural Reliability ◽

Structural Reliability Analysis ◽

Sampling Approach

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Least square support vector machine for structural reliability analysis

International Journal of Computer Applications in Technology ◽

10.1504/ijcat.2016.073610 ◽

2016 ◽

Vol 53 (1) ◽

pp. 51 ◽

Author(s):

Changxing Zhu ◽

Hongbo Zhao

Keyword(s):

Support Vector Machine ◽

Reliability Analysis ◽

Structural Reliability ◽

Least Square ◽

Support Vector ◽

Structural Reliability Analysis

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