| Titre : |
Reliability and statistics in geotechnical engineering |
| Type de document : |
texte imprimé |
| Auteurs : |
Baecher, Gregory B, Auteur ; Christian, John T, Auteur |
| Editeur : |
New York : John Wiley & Sons |
| Année de publication : |
2003 |
| Importance : |
XII-605 p. |
| Présentation : |
ill. |
| Format : |
25 cm |
| ISBN/ISSN/EAN : |
978-0-471-49833-9 |
| Note générale : |
Bibliogr. p. 569-591. Index |
| Langues : |
Anglais (eng) |
| Mots-clés : |
Engineering geology -- Statistical methods
Géologie appliquée -- Méthodes statistiques
Fiabilité -- Méthodes statistiques |
| Index. décimale : |
624.131.1 Origine des sols. Géologie de l'ingénieur. Facteurs de classification minéralogiques, géologiques et biologiques des sols. |
| Résumé : |
Risk and reliability analysis is an area of growing importance in geotechnical engineering, where many variables have to be considered. Statistics, reliability modeling and engineering judgement are employed together to develop risk and decision analyses for civil engineering systems. The resulting engineering models are used to make probabilistic predictions, which are applied to geotechnical problems.
Reliability & Statistics in Geotechnical Engineering comprehensively covers the subject of risk and reliability in both practical and research terms
* Includes extensive use of case studies
* Presents topics not covered elsewhere--spatial variability and stochastic properties of geological materials
* No comparable texts available
Practicing engineers will find this an essential resource as will graduates in geotechnical engineering programmes. |
| Note de contenu : |
Sommaire:
1 Introduction – uncertainty and risk in geotechnical engineering.
2 Uncertainty.
3 Probability.
4 Inference.
5 Risk, decisions and judgment.
Part II.
6 Site characterization.
7 Classification and mapping.
8 Soil variability.
9 Spatial variability within homogeneous deposits.
10 Random field theory.
11 Spatial sampling.
12 Search theory.
Part III.
13 Reliability analysis and error propagation.
14 First order second moment (FOSM) methods.
15 Point estimate methods.
16 The Hasofer–Lind approach (FORM).
17 Monte Carlo simulation methods.
18 Load and resistance factor design.
19 Stochastic finite elements.
Part IV.
20 Event tree analysis.
21 Expert opinion.
22 System reliability assessment. |
Reliability and statistics in geotechnical engineering [texte imprimé] / Baecher, Gregory B, Auteur ; Christian, John T, Auteur . - New York : John Wiley & Sons, 2003 . - XII-605 p. : ill. ; 25 cm. ISBN : 978-0-471-49833-9 Bibliogr. p. 569-591. Index Langues : Anglais ( eng)
| Mots-clés : |
Engineering geology -- Statistical methods
Géologie appliquée -- Méthodes statistiques
Fiabilité -- Méthodes statistiques |
| Index. décimale : |
624.131.1 Origine des sols. Géologie de l'ingénieur. Facteurs de classification minéralogiques, géologiques et biologiques des sols. |
| Résumé : |
Risk and reliability analysis is an area of growing importance in geotechnical engineering, where many variables have to be considered. Statistics, reliability modeling and engineering judgement are employed together to develop risk and decision analyses for civil engineering systems. The resulting engineering models are used to make probabilistic predictions, which are applied to geotechnical problems.
Reliability & Statistics in Geotechnical Engineering comprehensively covers the subject of risk and reliability in both practical and research terms
* Includes extensive use of case studies
* Presents topics not covered elsewhere--spatial variability and stochastic properties of geological materials
* No comparable texts available
Practicing engineers will find this an essential resource as will graduates in geotechnical engineering programmes. |
| Note de contenu : |
Sommaire:
1 Introduction – uncertainty and risk in geotechnical engineering.
2 Uncertainty.
3 Probability.
4 Inference.
5 Risk, decisions and judgment.
Part II.
6 Site characterization.
7 Classification and mapping.
8 Soil variability.
9 Spatial variability within homogeneous deposits.
10 Random field theory.
11 Spatial sampling.
12 Search theory.
Part III.
13 Reliability analysis and error propagation.
14 First order second moment (FOSM) methods.
15 Point estimate methods.
16 The Hasofer–Lind approach (FORM).
17 Monte Carlo simulation methods.
18 Load and resistance factor design.
19 Stochastic finite elements.
Part IV.
20 Event tree analysis.
21 Expert opinion.
22 System reliability assessment. |
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Reliability and statistics in geotechnical engineering (2003)
