Estimation of parameters in geotechnical backanalysis — I. Maximum likelihood approach

Ledesma, Alberto; Gens, Antonio; Alonso, Eduardo E.

doi:10.1016/0266-352x(95)00021-2

Cited by 102 publications

(57 citation statements)

References 11 publications

(5 reference statements)

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“…The computational values are obtained through FEM analyses or other computational methods where the sought material parameters are employed as model variables. Back analysis can be carried out as deterministic analysis or it can be related to probabilistic methods [11].…”

Section: Computational Analyses Of Pile Wall Structurementioning

confidence: 99%

Analysis of displacement of excavation based on inclinometer measurements

Gorska¹,

Wyjadłowski²

2012

Studia Geotechnica Et Mechanica

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Abstract:The article presents back analysis to estimate geotechnical parameters of fill layer. The agreement between field measurements and theoretical calculations was examined. Displacements of a cantilever CFA bored pile wall were monitored. The inclinometric measurements were taken directly after pile construction and according to excavation process. Over 200 calculation series were performed, with changing fill parameters. The calculations employed the actual geometric and material parameters of the pile wall, as well as geotechnical parameters of layered soil. The parameters estimated through back analysis were the angle of internal friction and Young's modulus of fill layer. In the case discussed, pile wall cap displacement was the response of the system, and soil medium parameters were the input data. The agreement between theoretical calculations and inclinometer measurements was assessed in accordance with two functions. The measured horizontal displacements of excavation support structure assumed different values at the two inclinometer sites analysed. Back analysis results for these sites are approximately convergent for a final excavation depth.

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Section: Computational Analyses Of Pile Wall Structurementioning

confidence: 99%

Analysis of displacement of excavation based on inclinometer measurements

Gorska¹,

Wyjadłowski²

2012

Studia Geotechnica Et Mechanica

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“…In this case, due to the non homogeneous stress paths, a more sophisticated inverse analysis is required. Many studies have been conducted on pressuremeter tests in order to characterize soil parameters (Mehta, 1989;Cambou and Bahar, 1993;Ledesma et al, 1996;Schnaid and Mantaras, 1998;Zentar et al, 2001;Dano et al, 2007;Rechea et al, 2007). Inverse analysis consists in minimizing the difference between experimental data collected in situ and the predictions of analytical or numerical calculations (Figure 1).…”

Section: Inverse Analysis Of Field Tests In the Geotechnical Areamentioning

confidence: 99%

Identifying Soil Parameters by Inverse Analysis of Field Testing

Papon

Riou

Hicher

et al. 2008

Earth &Amp;amp; Space 2008

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“…Dentre as principais técnicas aplicadas em geotecnia destaca-se o algoritmo genético (AG) proposto por Holland (1992), um mecanismo de busca adaptativa que se baseia no princípio Darwiniano de seleção natural e reprodução genética. Jin et al (2016) destacam que devido a sua robustez, eficiência e capacidade de fornecer um conjunto de soluções próximas da solução ideal ao invés de uma única resposta, o que o torna mais prático do ponto de vista geotécnico, faz do AG uma das técnicas mais aplicadas para solução dos problemas em geotecnia (SAMARAJIVA; MACARI; WATHUGALA, 2005;LEVASSEUR et al, 2008;BAROTH;MALECOT, 2010;ROKONUZZAMAN;SAKAI, 2010;HELENO, 2011;PAPON, 2012;JIN et al, 2016;YIN et al, 2017) Dentro desse contexto, utilizar os resultados de medições diretas possíveis de serem feitas no campo para, por meio de análises inversas, estimar parâmetros de modelos constitutivos de comportamento do solo é um caminho que tem se mostrado promissor (LEDESMA; GENS; ALONSO, 1996;ZENTAR;MOULIN, 2001;FINNO, 2004;CALVELLO, 2005;LEVASSEUR et al, 2008;HICHER, 2008;BAROTH;MALECOT, 2010;HELENO, 2011;PAPON, 2012;ZHAO et al, 2015;YIN et al, 2017).…”

Section: -Introduçãounclassified

Análise inversa da curva do ensaio pressiométrico utilizando o modelo hiperbólico

Cândido¹,

Azevedo²,

Azevedo³

et al. 2018

cieng

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RESUMOEste artigo apresenta a determinação dos parâmetros de um modelo elástico não linear a partir da análise dos resultados de ensaios pressiométricos. Para identificar o melhor conjunto de parâmetros do modelo foi necessário simular o ensaio com o método dos elementos finitos, definir uma função objetivo correspondente à diferença entre os resultados medidos no campo e obtidos numericamente e, por último, usar um algoritmo genético de otimização. Para a estimativa das populações iniciais do algoritmo, foi proposta a delimitação de um espaço de busca que utiliza parâmetros do modelo obtidos com ensaios triaxiais. Concluiu-se que o algoritmo genético se mostrou eficiente na retroanálise das curvas pressiométricas estudadas. Palavras-Chave: Retroanálise, Modelos constitutivos, Ensaios de campo, Algoritmo genético. ABSTRACTThis paper presents the determination of the parameters of a nonlinear elastic model from the analysis of the results of a pressuremeter tests. In order to identify the best set of parameters of the model was necessary to simulate the finite element method, define an objective function corresponding to the difference between the results measured in the field and obtained numerically and finally, to use a genetic optimization algorithm. For the estimation of the initial populations of the algorithm, it was proposed the delimitation of a search space that uses model parameters obtained with triaxial tests. It was concluded that the genetic algorithm was efficient in the back analysis of the studied pressuremeter curves.

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Estimation of parameters in geotechnical backanalysis — I. Maximum likelihood approach

Abstract: ABSTRACT

Cited by 102 publications

References 11 publications

Analysis of displacement of excavation based on inclinometer measurements

Analysis of displacement of excavation based on inclinometer measurements

Identifying Soil Parameters by Inverse Analysis of Field Testing

Análise inversa da curva do ensaio pressiométrico utilizando o modelo hiperbólico

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