Evaluation of reliabilities of drilled shafts using bi-directional pile load test results

J. H. Park, D. Kim, K. Kwak, Jun Hwan Lee, M. Chung

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

As part of Load and Resistance Factor Design (LRFD) implementation effort in Korea, reliability levels for side resistance of drilled shafts socketed in weak rock were evaluated by using bi-directional pile load test results. Because the loading direction of bi-directional pile load tests for shaft resistance is opposite to that of conventional downward static load tests, it is needed to assess the uncertainty and to evaluate the reliability of bidirectional pile load tests. A database of 24 bidirectional load test data sets and soil property tests was compiled from case histories collected from all around South Korea. The resistance bias factors for the three static design methods were evaluated by comparing the representative measured bearing capacities with the design values. Reliability analysis was conducted by two types of First-Order Reliability Method (FORM): Mean Value First-Order Second Moment (MVFOSM) and Advanced First-Order Second Moment (AFOSM).

Original languageEnglish
Title of host publicationApplications of Statistics and Probability in Civil Engineering -Proceedings of the 11th International Conference on Applications of Statistics and Probability in Civil Engineering
Pages1683-1688
Number of pages6
Publication statusPublished - 2011 Dec 1
Event11th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP - Zurich, Switzerland
Duration: 2011 Aug 12011 Aug 4

Publication series

NameApplications of Statistics and Probability in Civil Engineering -Proceedings of the 11th International Conference on Applications of Statistics and Probability in Civil Engineering

Other

Other11th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP
CountrySwitzerland
CityZurich
Period11/8/111/8/4

Fingerprint

Piles
Evaluation
Reliability analysis
Bearing capacity
First-order
Rocks
Moment
Soils
Reliability Analysis
Mean Value
Design Method
Soil
Uncertainty
Resistance
Evaluate
Design

All Science Journal Classification (ASJC) codes

  • Civil and Structural Engineering
  • Statistics and Probability

Cite this

Park, J. H., Kim, D., Kwak, K., Lee, J. H., & Chung, M. (2011). Evaluation of reliabilities of drilled shafts using bi-directional pile load test results. In Applications of Statistics and Probability in Civil Engineering -Proceedings of the 11th International Conference on Applications of Statistics and Probability in Civil Engineering (pp. 1683-1688). (Applications of Statistics and Probability in Civil Engineering -Proceedings of the 11th International Conference on Applications of Statistics and Probability in Civil Engineering).
Park, J. H. ; Kim, D. ; Kwak, K. ; Lee, Jun Hwan ; Chung, M. / Evaluation of reliabilities of drilled shafts using bi-directional pile load test results. Applications of Statistics and Probability in Civil Engineering -Proceedings of the 11th International Conference on Applications of Statistics and Probability in Civil Engineering. 2011. pp. 1683-1688 (Applications of Statistics and Probability in Civil Engineering -Proceedings of the 11th International Conference on Applications of Statistics and Probability in Civil Engineering).
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title = "Evaluation of reliabilities of drilled shafts using bi-directional pile load test results",
abstract = "As part of Load and Resistance Factor Design (LRFD) implementation effort in Korea, reliability levels for side resistance of drilled shafts socketed in weak rock were evaluated by using bi-directional pile load test results. Because the loading direction of bi-directional pile load tests for shaft resistance is opposite to that of conventional downward static load tests, it is needed to assess the uncertainty and to evaluate the reliability of bidirectional pile load tests. A database of 24 bidirectional load test data sets and soil property tests was compiled from case histories collected from all around South Korea. The resistance bias factors for the three static design methods were evaluated by comparing the representative measured bearing capacities with the design values. Reliability analysis was conducted by two types of First-Order Reliability Method (FORM): Mean Value First-Order Second Moment (MVFOSM) and Advanced First-Order Second Moment (AFOSM).",
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Park, JH, Kim, D, Kwak, K, Lee, JH & Chung, M 2011, Evaluation of reliabilities of drilled shafts using bi-directional pile load test results. in Applications of Statistics and Probability in Civil Engineering -Proceedings of the 11th International Conference on Applications of Statistics and Probability in Civil Engineering. Applications of Statistics and Probability in Civil Engineering -Proceedings of the 11th International Conference on Applications of Statistics and Probability in Civil Engineering, pp. 1683-1688, 11th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP, Zurich, Switzerland, 11/8/1.

Evaluation of reliabilities of drilled shafts using bi-directional pile load test results. / Park, J. H.; Kim, D.; Kwak, K.; Lee, Jun Hwan; Chung, M.

Applications of Statistics and Probability in Civil Engineering -Proceedings of the 11th International Conference on Applications of Statistics and Probability in Civil Engineering. 2011. p. 1683-1688 (Applications of Statistics and Probability in Civil Engineering -Proceedings of the 11th International Conference on Applications of Statistics and Probability in Civil Engineering).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Park JH, Kim D, Kwak K, Lee JH, Chung M. Evaluation of reliabilities of drilled shafts using bi-directional pile load test results. In Applications of Statistics and Probability in Civil Engineering -Proceedings of the 11th International Conference on Applications of Statistics and Probability in Civil Engineering. 2011. p. 1683-1688. (Applications of Statistics and Probability in Civil Engineering -Proceedings of the 11th International Conference on Applications of Statistics and Probability in Civil Engineering).