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RELIABILITY-BASED DESIGN AND QUALITY CONTROL OF DRIVEN PILES

Abstract Details

2006, Doctor of Philosophy, University of Akron, Civil Engineering.
Driven piles are widely used as foundations for buildings, bridges, and other structures. Since 1994, AASHTO (American Association of State Highway and Transportation Officials) has been in process to change from ASD (Allowable Stress Design) method to LRFD (Load and Resistance Factor Design) method for foundation design. The adoption of LRFD approach makes possible the application of reliability analysis to quantify uncertainties associated with various load and resistance components, respectively. Although there exist some recommendations for incorporation of set-up into ASD and quality control methods for driven piles, most of these recommendations were developed purely based on the engineering experience with no attendant database and reliability analysis. A successful application of probability approach will definitely result in significant improvements on the design and quality control of driven piles. Therefore, there is a need to develop the quality control criterion and to improve the LRFD of driven piles in the framework of reliability-based analysis. In this study, the new reliability-based quality control criteria on driven piles are developed based on acceptance-sampling analysis for various pile test methods with lognormal statistical characteristics. An optimum approach is recommended for the selection of the number of load tests and the required measured capacities for quality control of various load test methods of driven piles. The databases containing a large number of pile testing data are compiled for piles driven into clay and into sand, respectively. Based on the compiled databases, a new methodology is developed to incorporate set-up into the LRFD of drive piles using FORM (First Order Reliability Method) where the separate resistance factors for measured reference capacity and predicted set-up capacity are derived to account for different degrees of uncertainties associated with these two capacity components. Based on Bayesian theory, a new methodology is developed to optimize the LRFD of driven piles by combining the results from static calculation and dynamic pile testing. Specifically, the results from dynamic pile tests are incorporated to reduce the uncertainties associated with static analysis methods by updating the resistance factors in LRFD. Finally, a new one-dimensional wave equation based algorithm to interpret High Strain Testing data for estimation of resistances of driven piles is proposed.
Robert Liang (Advisor)
174 p.

Recommended Citations

Citations

  • Yang, L. (2006). RELIABILITY-BASED DESIGN AND QUALITY CONTROL OF DRIVEN PILES [Doctoral dissertation, University of Akron]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=akron1153755606

    APA Style (7th edition)

  • Yang, Luo. RELIABILITY-BASED DESIGN AND QUALITY CONTROL OF DRIVEN PILES. 2006. University of Akron, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=akron1153755606.

    MLA Style (8th edition)

  • Yang, Luo. "RELIABILITY-BASED DESIGN AND QUALITY CONTROL OF DRIVEN PILES." Doctoral dissertation, University of Akron, 2006. http://rave.ohiolink.edu/etdc/view?acc_num=akron1153755606

    Chicago Manual of Style (17th edition)