Practical Reliability-Based Design of Deep Foundations Using Subset Simulation

Z. Cao, Y. Wang

    Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

    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 languageEnglish
    Title of host publicationVulnerability, 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
    PublisherAmerican Society of Civil Engineers
    Pages2032-2042
    ISBN (Print)9780784413609
    DOIs
    Publication statusPublished - 2014
    Event2nd 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 201416 Jul 2014

    Conference

    Conference2nd International Conference on Vulnerability and Risk Analysis and Management (ICVRAM 2014) and 6th International Symposium on Uncertainty Modeling and Analysis (ISUMA 2014)
    PlaceUnited Kingdom
    CityLiverpool
    Period13/07/1416/07/14

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