scholarly journals One-Class Support Vector Machine Based Schemes for Structural Reliability Assessment Under Imbalanced Sample Conditions

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 184350-184359 ◽  
Author(s):  
Li Zhan ◽  
Jie Liu ◽  
Mian Zhang ◽  
Chengning Zhou ◽  
Lin Zhang ◽  
...  
Keyword(s):  
Support Vector Machine ◽  
Structural Reliability ◽  
Reliability Assessment ◽  
Support Vector

scholarly journals Structural Reliability Assessment by Integrating Sensitivity Analysis and Support Vector Machine

2014 ◽  
Vol 2014 ◽  
pp. 1-6 ◽  
Author(s):  
Shao-Fei Jiang ◽  
Da-Bao Fu ◽  
Si-Yao Wu
Keyword(s):  
Sensitivity Analysis ◽  
Support Vector Machine ◽  
Structural Reliability ◽  
Reliability Assessment ◽  
Assessment Method ◽  
Reliability Theory ◽  
Performance Comparison ◽  
Support Vector ◽  
Performance Function ◽  
Small Influence

To reduce the runtime and ensure enough computation accuracy, this paper proposes a structural reliability assessment method by the use of sensitivity analysis (SA) and support vector machine (SVM). The sensitivity analysis is firstly applied to assess the effect of random variables on the values of performance function, while the small-influence variables are rejected as input vectors of SVM. Then, the trained SVM is used to classify the input vectors, which are produced by sampling the residual variables based on their distributions. Finally, the reliability assessment is implemented with the aid of reliability theory. A 10-bar planar truss is used to validate the feasibility and efficiency of the proposed method, and a performance comparison is made with other existing methods. The results show that the proposed method can largely save the runtime with less reduction of the accuracy; furthermore, the accuracy using the proposed method is the highest among the methods employed.

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