Calibration of resistance factor for design of pile foundations considering feasibility robustness

Dian Qing Li, Xing Peng, Sara Khoshnevisan, C. Hsein Juang

研究成果: 雜誌貢獻期刊論文同行評審

8 引文 斯高帕斯(Scopus)


The resistance factor for pile foundations in load and resistance factor design (LRFD) is traditionally calibrated considering target reliability index (βT) and statistics of load and resistance bias factors. However, the resistance bias factor is hard to quantify statistically. Consequently, the design obtained using the calibrated resistance factor can still miss βT if the variation in resistance bias factor has been underestimated. In this paper, we propose a new resistance factor calibration approach to address this dilemma by considering “feasibility robustness” of design in the calibration process. Herein, the feasibility robustness is defined as a probability that the βT requirement can still be satisfied even in the presence of uncertainty or variation in the computed bearing capacity. For illustration, LRFD approach for pile foundations commonly used in Shanghai, China is examined. Emphasis is placed on re-calibration of resistance factors at various feasibility robustness levels, with due consideration of the variation in the resistance bias factor. A case study is presented to illustrate the use of the re-calibrated resistance factors. The results show that the feasibility robustness is gained at the expense of cost efficiency; in other words, the two objectives are conflicting. To aid in the design decision-making, an optimal feasibility robustness level and corresponding resistance factors are suggested in the absence of a designer's preference.

頁(從 - 到)229-238
期刊Computers and Geotechnics
出版狀態已出版 - 1 1月 2017


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