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An adaptive method based on PC-Kriging for system reliability analysis of truss structures
He Yao 1
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Shijiazhuang Tiedao University, China
Submission date: 2023-03-17
Final revision date: 2023-05-16
Acceptance date: 2023-07-11
Online publication date: 2023-07-13
Publication date: 2023-07-13
Corresponding author
Cunbao Zhao   

Shijiazhuang Tiedao University, China
Eksploatacja i Niezawodność – Maintenance and Reliability 2023;25(3):169497
  • Global metamodel quickly estimates the failure probability of the truss with sufficient accuracy.
  • Representative failure modes are obtained to deal with redundant failure members.
  • Local metamodels are constructed to calculate the system reliability index of the truss.
  • An adaptive method performs reliability analysis for truss structures with high accuracy and efficiency.
In practice, a truss consists of a large number of members which makes it a complex system. This leads to difficulties to estimate the system reliability due to computational costs. An adaptive method is thereby proposed to deal with this issue. It constructs a global metamodel to quickly estimate the rough reliability index of a truss. According to the estimated reliability index, the differential evolution algorithm is performed to generate more samples located in an expanded domain so that more representative failure modes can be identified. Combined with AK-SYSi, local metamodels of representative failure mods are built, and updated through active learning. When the convergence criterion is satisfied, the results of system reliability analysis can be obtained. Eventually, two examples of truss structures are studied to illustrate the superiority of the proposed method in balancing accuracy and efficiency. The results indicate that the proposed method makes a good balance between accuracy and efficiency when it is applied to analyze the system reliability of the truss.
The support of the Local science and technology development fund projects guided by the central government (No. 206Z1901G), the National Key R&D Program of China (Nos. 2021YFB2600605 and 2021YFB2600600), the Overseas Scholar Program in the Hebei Province (No. C20190514), and the State Key Laboratory of Mechanical Behavior and System Safety of Traffic Engineering Structures Project (No. ZZ2021-05) is greatly appreciated.
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