4.7 Article

R-LRFD: Load and resistance factor design considering robustness

Journal

COMPUTERS AND GEOTECHNICS
Volume 74, Issue -, Pages 74-87

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.compgeo.2015.12.017

Keywords

LRFD; Robust design; Sensitivity; Pareto front; Knee point; Drilled shaft

Funding

  1. National Science Foundation [CMMI-1200117]
  2. Glenn Department of Civil Engineering, Clemson University through the Aniket Shrikhande Graduate Fellowship
  3. Project 111 of China at Tongji University [B14017]
  4. Div Of Civil, Mechanical, & Manufact Inn
  5. Directorate For Engineering [1200117] Funding Source: National Science Foundation

Ask authors/readers for more resources

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). (C) 2016 Elsevier Ltd. All rights reserved.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available