Incorporating stochastic evaluation in the estimation of soil resilient modulus

Daniel C. Rosenbalm, Claudia Zapata

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The deterministic solutions available to estimate the resilient modulus of unbound materials within the EICM are difficult to interpret because they do not incorporate the variability associated with the inherent soil heterogeneity or the environmental conditions. A framework of a stochastic evaluation of a model used to estimate the soil long-term equilibrium resilient modulus is presented in this paper. The stochastic evaluation presented is performed for only one of the three different hierarchical levels of design. This is accomplished by converting deterministic solution sets into a stochastic solution by using the First Order Taylor Series expansion. This information is extremely useful in decision-making stages of the project.

Original languageEnglish (US)
Title of host publicationGeoCongress 2012
Subtitle of host publicationState of the Art and Practice in Geotechnical Engineering
Pages1458-1467
Number of pages10
Edition225 GSP
DOIs
StatePublished - Dec 1 2012
EventGeoCongress 2012: State of the Art and Practice in Geotechnical Engineering - Oakland, CA, United States
Duration: Mar 25 2012Mar 29 2012

Publication series

NameGeotechnical Special Publication
Number225 GSP
ISSN (Print)0895-0563

Other

OtherGeoCongress 2012: State of the Art and Practice in Geotechnical Engineering
CountryUnited States
CityOakland, CA
Period3/25/123/29/12

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Architecture
  • Building and Construction
  • Geotechnical Engineering and Engineering Geology

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  • Cite this

    Rosenbalm, D. C., & Zapata, C. (2012). Incorporating stochastic evaluation in the estimation of soil resilient modulus. In GeoCongress 2012: State of the Art and Practice in Geotechnical Engineering (225 GSP ed., pp. 1458-1467). (Geotechnical Special Publication; No. 225 GSP). https://doi.org/10.1061/9780784412121.150