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Please use this identifier to cite or link to this item: http://repositorio.ufba.br/ri/handle/ri/15865

Title: Reliability based design of driven pile groups using combination of pile driving equations and high strain dynamic pile monitoring
Other Titles: Structural Safety
Authors: Klammler, Harald
McVay, Michael
Herrera, Rodrigo
Lai, Peter
Keywords: Deep foundation;LRFD;Probability of failure;Axial resistance;Best linear unbiased estimation
Issue Date: 2013
Abstract: Reliability based design (e.g., load and resistance factor design – LRFD) aims at meeting a maximum permissible probability of failure (target reliability) for engineered systems or major elements thereof. For deep foundations, such as driven pile groups, statistical parameters of the random load and target reliabilities are naturally defined for entire pile groups, while pile driving criteria for stopping pile advance are required for individual piles. We present an approach using dynamic equations (e.g., Gates) and dynamic monitoring (e.g., PDA/CAPWAP) for estimating axial pile resistances. Dynamic equations are site-specifically calibrated to dynamic monitoring results from test pile programs, for example, and resistance estimates of production piles from equations (available at all piles) and monitoring (only available at monitored piles) are combined by best linear unbiased estimation (BLUE). Resulting resistance estimates and uncertainties of all piles in a group are further combined to obtain LRFD resistance factors Φ for pile groups as well as explicit pile driving criteria for individual piles. An iteration procedure is presented to account for the possible presence of previously driven piles in a group. A practical example and charts of Φ as a function of the degree of monitoring (percentage of piles monitored in a group) are used to demonstrate and discuss results.
Description: Texto completo: acesso restrito. p. 10–17
URI: http://repositorio.ufba.br/ri/handle/ri/15865
ISSN: 0167-4730
Appears in Collections:Artigos Publicados em Periódicos (ICADS)

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