- Title
- Bayesian updating on resistance factors of H-Piles with axial load tests
- Creator
- Zhang, Yuting; Huang, Jinsong; Giacomini, Anna
- Relation
- Computers and Geotechnics Vol. 159, Issue July 2023, no. 105421
- Publisher Link
- http://dx.doi.org/10.1016/j.compgeo.2023.105421
- Publisher
- Elsevier
- Resource Type
- journal article
- Date
- 2023
- Description
- In the Load and Resistance Factor Design (LRFD) of piles, several design codes recommend higher resistance factors if load tests are conducted. However, no information is provided on how these resistance factors are determined. In this paper, a probabilistic approach based on Bayes' theorem and the First Order Reliability Method (FORM) is proposed to calibrate resistance factors for different numbers of load tests and the corresponding test results. In addition, within-site variability, design methods, types of piles, and ground conditions can also be considered. The proposed approach applied to H-piles under axial load tests shows consistent results with current design codes. Results show that resistance factors are significantly increased even if only one positive test is observed among all the tests. For low variability sites, the differences of resistance factors between various design methods are significantly reduced if one or more tests are positive, while for high variability sites, the differences of resistance factors are only slightly decreased, indicating that design methods should be considered in the latter case. Most of the increase in resistance factors is achieved with a small number of tests. For β-Method used in clay sites, 80% of the increase in resistance factors is achieved with two, four and five consecutive positive tests are observed for low, medium and high variability sites, respectively.
- Subject
- resistance factor; bayesian updating; load test; h-pile
- Identifier
- http://hdl.handle.net/1959.13/1482187
- Identifier
- uon:50881
- Identifier
- ISSN:0266-352X
- Rights
- © 2023 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
- Language
- eng
- Full Text
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