Probabilistic Analysis of Shallow Foundations Resting on Spatially Varying Soils PDF Download
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Author: Tamara Al-Bittar
Publisher:
ISBN:
Category :
Languages : en
Pages : 209
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Author: Tamara Al-Bittar
Publisher:
ISBN:
Category :
Languages : en
Pages : 209
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Author: Jorge Diaz Padilla
Publisher:
ISBN:
Category : Foundations
Languages : en
Pages : 167
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Author: Ashraf Ahmed
Publisher: LAP Lambert Academic Publishing
ISBN: 9783659323638
Category :
Languages : en
Pages : 224
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Book Description
This book presents simplified and advanced probabilistic analyses of shallow foundations. In the simplified probabilistic analysis the uncertain parameters are modelled by random variables defined by their probability density functions. In other words, the soil is considered homogeneous. However, in the advanced probabilistic analysis, the uncertain parameters are modelled by random fields characterized not only by their probability density functions, but also by their autocorrelation functions. This allows studying the effect of the soil spatial variability on the behaviour of shallow foundations.
Author: Chijioke Ekeleme Akamiro
Publisher:
ISBN:
Category : Foundations
Languages : en
Pages : 520
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Author: Ashraf Ahmed
Publisher:
ISBN:
Category :
Languages : en
Pages : 193
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Cette thèse présente des approches simplifiées et avancées pour l’analyse probabiliste des fondations superficielles. Dans l'analyse probabiliste simplifiée, les paramètres incertains sont modélisés par des variables aléatoires. Pour une fondation soumise à un chargement incliné, les résultats numériques basés sur la méthode des surfaces de réponse (RSM) et la méthode des surfaces de réponse stochastiques (CSRSM) ont permis d'identifier les zones de prédominance des modes de rupture à l’état limite ultime et à l’état limite de service. D'autre part, une procédure efficace a été proposée pour augmenter le nombre des sorties probabilistes de l’approche Subset Simulation (SS) sans appels supplémentaires au modèle déterministe. Dans cette procédure, l'approche SS a été combinée avec la méthode CSRSM. Dans l'analyse probabiliste avancée, les paramètres incertains du sol sont modélisés par des champs aléatoires pour prendre en compte la variabilité spatiale des propriétés du sol. Dans ce cas, la méthode de simulation de Monte Carlo (MCS) est généralement utilisée et seuls les moments statistiques de la réponse sont étudiés en raison du grand nombre d'appels au modèle déterministe. Dans cette thèse, l'approche SS a d’abord été utilisée comme une méthode alternative à la méthode MCS pour calculer la probabilité de ruine. Ceci a conduit à une réduction significative du nombre d'appels au modèle déterministe. Ensuite, une approche plus efficace nommée improved Subset Simulation (iSS) a été développée pour réduire encore une fois le nombre d'appels au modèle déterministe. L'utilisation de l’iSS a réduit le nombre d'appels au modèle déterministe d'environ 50% par rapport à l'approche SS.
Author: Kok-Kwang Phoon
Publisher: CRC Press
ISBN: 1482227223
Category : Technology & Engineering
Languages : en
Pages : 624
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Book Description
Establishes Geotechnical Reliability as Fundamentally Distinct from Structural Reliability Reliability-based design is relatively well established in structural design. Its use is less mature in geotechnical design, but there is a steady progression towards reliability-based design as seen in the inclusion of a new Annex D on "Reliability of Geotechnical Structures" in the third edition of ISO 2394. Reliability-based design can be viewed as a simplified form of risk-based design where different consequences of failure are implicitly covered by the adoption of different target reliability indices. Explicit risk management methodologies are required for large geotechnical systems where soil and loading conditions are too varied to be conveniently slotted into a few reliability classes (typically three) and an associated simple discrete tier of target reliability indices. Provides Realistic Practical Guidance Risk and Reliability in Geotechnical Engineering makes these reliability and risk methodologies more accessible to practitioners and researchers by presenting soil statistics which are necessary inputs, by explaining how calculations can be carried out using simple tools, and by presenting illustrative or actual examples showcasing the benefits and limitations of these methodologies. With contributions from a broad international group of authors, this text: Presents probabilistic models suited for soil parameters Provides easy-to-use Excel-based methods for reliability analysis Connects reliability analysis to design codes (including LRFD and Eurocode 7) Maximizes value of information using Bayesian updating Contains efficient reliability analysis methods Accessible To a Wide Audience Risk and Reliability in Geotechnical Engineering presents all the "need-to-know" information for a non-specialist to calculate and interpret the reliability index and risk of geotechnical structures in a realistic and robust way. It suits engineers, researchers, and students who are interested in the practical outcomes of reliability and risk analyses without going into the intricacies of the underlying mathematical theories.
Author:
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ISBN:
Category :
Languages : pt-BR
Pages :
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Author: Chen Song
Publisher:
ISBN:
Category :
Languages : en
Pages : 71
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Book Description
The objective of this research is to develop resistance factors for use in the load and resistance factor design (LRFD) method for consolidation settlements of shallow foundations and embankments on cohesive soil. Probabilistic analysis of settlements is used to represent the uncertainty of the compression index, Cc, the recompression index, Cr and the uncertainty of the maximum past pressure, P'c. The probabilistic analysis is based on the Monte Carlo simulation for five different probabilities of failure: 1/25, 1/50, 1/75, 1/100, 1/150 for foundation soils and 1/150, 1/2000 for embankment fill.
Author: D. V. Griffiths
Publisher: Springer Science & Business Media
ISBN: 3211733663
Category : Science
Languages : en
Pages : 346
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Book Description
Learn to use probabilistic techniques to solve problems in geotechnical engineering. The book reviews the statistical theories needed to develop the methodologies and interpret the results. Next, the authors explore probabilistic methods of analysis, such as the first order second moment method, the point estimate method, and random set theory. Examples and case histories guide you step by step in applying the techniques to particular problems.
Author: Sami Oguzhan Akbas
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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Book Description
Reliability-based design equations for shallow foundations in cohesionless soils were developed for a consistent evaluation of foundation behavior. Probability-based design equations were developed for the axial compression and lateral loading modes. The axial compression mode was subdivided further according to limit state (ultimate and serviceability), while only the ultimate limit state was considered for the lateral loading mode.
