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

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• 作者：Dian-Qing Li^a ; ^{dianqing@whu.edu.cn" class="auth_mail" title="E-mail the corresponding author} ; Xing Peng^a ; ^{px09@whu.edu.cn" class="auth_mail" title="E-mail the corresponding author} ; Sara Khoshnevisan^b ; ^{skhoshn@g.clemson.edu" class="auth_mail" title="E-mail the corresponding author} ; C. Hsein Juang^c ; ^b ; ^{hsein@clemson.edu" class="auth_mail" title="E-mail the corresponding author}
• 关键词：Pile foundations ; Load and resistance factor design ; Uncertainty ; Target reliability index ; Feasibility robustness ; Calibration
• 刊名：Computers and Geotechnics
• 出版年：2017
• 出版时间：January 2017
• 年：2017
• 卷：81
• 期：Complete
• 页码：229-238
• 全文大小：1229 K

文摘

The resistance factor for pile foundations in load and resistance factor design (LRFD) is traditionally calibrated considering target reliability index (β_T) 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 β_T 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 β_T 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.