Direct probability-based design methods

  • Yu Wang
  • , Timo Schweckendiek
  • , Wenping Gong
  • , Tengyuan Zhao
  • , Kok Kwang Phoon

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

13 Scopus citations

Abstract

This chapter focuses on recent development of direct probability-based design methods, including the expanded reliability-based design (expanded RBD) method, reliability-based robust geotechnical design (RGD) method, and the new safety standards for flood defenses in the Netherlands which is the first ever national standard that adopts direct (or full) probability-based design methods. One major criticism to the simplified semi-probabilistic RBD format is displacement of sound engineering judgment and lack of flexibility for practitioners. Because the simplified semi-probabilistic RBD format adopts the same trial-and-error approach as traditional allowable stress design (ASD) methods and it is developed to circumvent the need for practitioners to perform probabilistic analysis, these compromises seem unavoidable. An alternative solution to this dilemma is to maintain the engineering judgment and flexibility similar to ASD methods, but at the expense of performing probabilistic analysis using direct probability-based design methods. It is shown that, with the aid of commonly available computers and widely used computer software such as Microsoft Excel, performing Monte Carlo Simulation (MCS)-based probabilistic analysis and design are becoming more and more straightforward and convenient. MCS is already available in some commercial geotechnical software programs. MCS can be comprehended easily as a repetitive computer execution of traditional ASD design calculation, and the reliability analysis background required for performing MCS is substantially reduced. A gravity retaining wall design example is used in this chapter to illustrate the MCS-based design method in Excel.

Original languageEnglish
Title of host publicationReliability of Geotechnical Structures in ISO2394
PublisherCRC Press
Pages193-226
Number of pages34
ISBN (Electronic)9781351783408
ISBN (Print)9781138029118
DOIs
StatePublished - 25 Nov 2016
Externally publishedYes

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