Abstract
This paper integrates a Monte Carlo Simulation (MCS)-based reliability based design (RBD) approach (namely the expanded RBD approach) for foundations with an efficient MCS method called Subset Simulation to improve efficiency and resolution at small probability levels. Equations are derived and implemented in a commonly-Available spreadsheet environment to effectively remove the hurdle of reliability computational algorithm and make the proposed approach available to geotechnical practitioners. The proposed approach is illustrated through a drilled shaft design example. It is shown that the proposed approach provides results that are consistent with those from previous studies and significantly improves the efficiency and resolution at small probability levels. Subset Simulation enhances the expanded RBD approach in the design situations with a small target failure probability.
| Original language | English |
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| Title of host publication | Vulnerability, Uncertainty, and Risk: Quantification, Mitigation, and Management - Proceedings of the 2nd International Conference on Vulnerability and Risk Analysis and Management, ICVRAM 2014 and the 6th International Symposium on Uncertainty Modeling and Analysis, ISUMA 2014 |
| Publisher | American Society of Civil Engineers |
| Pages | 2032-2042 |
| ISBN (Print) | 9780784413609 |
| DOIs | |
| Publication status | Published - 2014 |
| Event | 2nd International Conference on Vulnerability and Risk Analysis and Management (ICVRAM 2014) and 6th International Symposium on Uncertainty Modeling and Analysis (ISUMA 2014) - Liverpool, United Kingdom Duration: 13 Jul 2014 → 16 Jul 2014 |
Conference
| Conference | 2nd International Conference on Vulnerability and Risk Analysis and Management (ICVRAM 2014) and 6th International Symposium on Uncertainty Modeling and Analysis (ISUMA 2014) |
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| Place | United Kingdom |
| City | Liverpool |
| Period | 13/07/14 → 16/07/14 |