https://repositorio.ufba.br/handle/ri/18088
Tipo: | Artigo de Periódico |
Título: | Approximate up-scaling of geo-spatial variables applied to deep foundation design |
Título(s) alternativo(s): | Georisk |
Autor(es): | Luz, Joana Angélica Guimarães da Klammler, Harald Hatfield, Kirk McVay, Michael |
Autor(es): | Luz, Joana Angélica Guimarães da Klammler, Harald Hatfield, Kirk McVay, Michael |
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. |
Palavras-chave: | Probability of failure Reliability Change of support Geostatistics Edgeworth Gamma expansion Bootstrap Inverse Gaussian |
País: | Brasil |
Tipo de Acesso: | Acesso Aberto |
URI: | http://repositorio.ufba.br/ri/handle/ri/18088 |
Data do documento: | 2011 |
Aparece nas coleções: | Artigo Publicado em Periódico (ICADS) |
Arquivo | Descrição | Tamanho | Formato | |
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Joana Angélica Guimarães da Luz.pdf | 193,44 kB | Adobe PDF | Visualizar/Abrir |
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