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Please use this identifier to cite or link to this item: http://repositorio.ufba.br/ri/handle/ri/18088

Title: Approximate up-scaling of geo-spatial variables applied to deep foundation design
Other Titles: Georisk
Authors: Luz, Joana Angélica Guimarães da
Klammler, Harald
Hatfield, Kirk
McVay, Michael
Keywords: Probability of failure;Reliability;Change of support;Geostatistics;Edgeworth;Gamma expansion;Bootstrap;Inverse Gaussian
Issue Date: 2011
Abstract: We present a series of simple approximate methods for up-scaling the cumulative distribution function of spatially correlated variables by using an effective number n e of independent variables. Methods are based on the property of distribution permanence of the gamma and inverse Gaussian distributions under averaging, bootstrap sampling and expansions about the normal and gamma distributions. A stochastic simulation study is used to validate each method, and simple parameters are defined to identify respective ranges of applicability. A practical example is presented where core sample rock strength data are up-scaled to shaft size for probabilistic (risk-based) deep foundation design. Supplemental material is available online.
Description: Texto completo: acesso restrito. p. 163-172
URI: http://repositorio.ufba.br/ri/handle/ri/18088
ISSN: 1749-9518
Appears in Collections:Artigos Publicados em Periódicos (ICADS)

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