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https://ir.lib.ncu.edu.tw/handle/987654321/100480
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| Title: | R-LRFD: Load and resistance factor design considering robustness |
| Authors: | 莊長賢;Gong, Wenping;Juang, C. Hsein;Khoshnevisan, Sara;Phoon, Kok-Kwang |
| Contributors: | 工學院土木工程學系 |
| Keywords: | Design engineering;Design factors;Design modifications;Design optimization;Drilled shaft;Geotechnics;Knee point;Knees;LRFD;Pareto front;Robust design;Robustness;Sand;Sensitivity |
| Date: | 2016-04-01 |
| Issue Date: | 2026-04-21 14:04:06 (UTC+8) |
| Publisher: | Elsevier BV;Elsevier Ltd |
| Abstract: | 摘要： LRFD (Load and Resistance Factor Design) is becoming a design method of choice in geotechnical practice, in lieu of the factor of safety (FS)-based design approach. However, even with LRFD, the need to reduce the variation in the predicted performance of a geotechnical system (or a geotechnical structure), referred to herein as the system response under applied loads, is still apparent. This paper presents a novel approach for applying existing LRFD codes, with explicit consideration of design robustness, safety, and cost efficiency. The recently developed reliability-based robust geotechnical design (RGD) approach is modified such that it can be integrated with the standard LRFD approach. This modified RGD approach is termed R-LRFD, which stands for Robust Load and Resistance Factor Design. In R-LRFD, the robustness of the system response against the variation in uncertain parameters is explicitly considered. Unlike the reliability-based design (RBD), the user is not required to conduct a full statistical characterization of uncertain parameters. With R-LRFD, the gain in the robustness, as reflected by the reduction in the sensitivity of the system response to the recognized but unquantified uncertainty of input parameters, is accompanied by an increase in cost. Thus, the concepts of Pareto front and knee point are introduced to aid in making an informed design decision. Further, a simplified procedure is developed to identify the most preferred design (knee point) in the design space, which is generally solved with multi-objective optimization algorithms. The effectiveness and significance of the proposed R-LRFD approach are demonstrated with two examples: one is the design of drilled shaft in sand (illustrated with a discrete design space) and the other is the design of drilled shaft in clay (illustrated with a continuous design space).
出版者： Elsevier Ltd
出版日期： 2016-04
出處： Computers and Geotechnics, 2016-04, Vol.74, p.74-87
資源來源： Elsevier ScienceDirect Journals Complete
版權： 2016 Elsevier Ltd
識別號： ISSN: 0266-352X
識別號： EISSN: 1873-7633
識別號： DOI: 10.1016/j.compgeo.2015.12.017 |
| Appears in Collections: | [Department of Civil Engineering] journal & Dissertation
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