Abstract
This paper presents an approach for estimating second-order statistics of the buckling load of structural systems subject to randomness. The proposed approach is based on sampling and it exploits the correlation existing between buckling loads calculated by means of linearized and nonlinear buckling analysis under the framework provided by control variates. Such strategy allows producing estimates of second-order statistics with improved precision. A numerical example illustrates the advantages of the proposed framework.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 8th International Symposium on Reliability Engineering and Risk Management, ISRERM 2022 |
| Editors | Michael Beer, Enrico Zio, Kok-Kwang Phoon, Bilal M. Ayyub |
| Publisher | Research Publishing Services, Singapore |
| Pages | 502-506 |
| Number of pages | 5 |
| ISBN (Print) | 9789811851841 |
| DOIs | |
| Publication status | Published - 2024 |
| Event | 8th International Symposium on Reliability Engineering and Risk Management, ISRERM 2022 - Hannover, Germany Duration: 4 Sept 2022 → 7 Sept 2022 |
Conference
| Conference | 8th International Symposium on Reliability Engineering and Risk Management, ISRERM 2022 |
|---|---|
| Country/Territory | Germany |
| City | Hannover |
| Period | 4 Sept 2022 → 7 Sept 2022 |
Keywords
- buckling load
- control variates
- linearized analysis
- nonlinear analysis
- second-order statistics
ASJC Scopus subject areas
- Management Science and Operations Research
- Safety, Risk, Reliability and Quality
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