This is the first book to revisit geotechnical site characterization from a probabilistic point of view and provide rational tools to probabilistically characterize geotechnical properties and underground stratigraphy using limited information obtained from a specific site. This book not only provides new probabilistic approaches for geotechnical site characterization and slope stability analysis, but also tackles the difficulties in practical implementation of these approaches. In addition, this book also develops efficient Monte Carlo simulation approaches for slope stability analysis and implements these approaches in a commonly available spreadsheet environment. These approaches and the software package are readily available to geotechnical practitioners and alleviate them from reliability computational algorithms. The readers will find useful information for a non-specialist to determine project-specific statistics of geotechnical properties and to perform probabilistic analysis of slope stability.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
1st Author (Prof. Zijun Cao)
Dr. Cao is currently an Associate Professor in School of Water Resources and Hydropower Engineering in Wuhan University, China. He obtained his Ph.D from City University of Hong Kong in 2012 and has published 15 journal papers, most of which in the top international journals in Geotechnical Engineering and Reliability Engineering. He is also co-author of 20 conference papers. His major research interests focus on probabilistic geotechnical site characterization, probabilistic analysis and reliability-based design of geotechnical structures (e.g., slopes, foundations), and Bayesian analysis in geotechnical risk and reliability. He is an invited reviewer of several leading international journals, e.g., Journal of Geotechnical and Geo-environmental Engineering (ASCE), Canadian Geotechnical Journal, Engineering Geology, Structural Safety, Structural and Multidisciplinary Optimization, Georisk, etc.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
Vendeur : Michael Knight, Bookseller, Forest Grove, OR, Etats-Unis
hardcover. Etat : Very Good. Hardcover issued without dust-jacket. Clean and solid. Ships from a smoke-free home. N° de réf. du vendeur mon0000006651
Quantité disponible : 1 disponible(s)
Vendeur : Brook Bookstore On Demand, Napoli, NA, Italie
Etat : new. Questo è un articolo print on demand. N° de réf. du vendeur 273e9e752df9df808a74d81dab2db78a
Quantité disponible : Plus de 20 disponibles
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
Etat : New. In. N° de réf. du vendeur ria9783662529126_new
Quantité disponible : Plus de 20 disponibles
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This is the first book to revisit geotechnical site characterization from a probabilistic point of view and provide rational tools to probabilistically characterize geotechnical properties and underground stratigraphy using limited information obtained from a specific site. This book not only provides new probabilistic approaches for geotechnical site characterization and slope stability analysis, but also tackles the difficulties in practical implementation of these approaches. In addition, this book also develops efficient Monte Carlo simulation approaches for slope stability analysis and implements these approaches in a commonly available spreadsheet environment. These approaches and the software package are readily available to geotechnical practitioners and alleviate them from reliability computational algorithms. The readers will find useful information for a non-specialist to determine project-specific statistics of geotechnical properties and to perform probabilistic analysis of slope stability. 208 pp. Englisch. N° de réf. du vendeur 9783662529126
Quantité disponible : 2 disponible(s)
Vendeur : moluna, Greven, Allemagne
Gebunden. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The first monograph that develops probabilistic approaches for probabilistic characterization of geotechnical properties and underground stratigraphy using limited information obtained from geotechnical site characterization at a specific siteAllo. N° de réf. du vendeur 122125810
Quantité disponible : Plus de 20 disponibles
Vendeur : Books Puddle, New York, NY, Etats-Unis
Etat : New. N° de réf. du vendeur 26375623975
Quantité disponible : 4 disponible(s)
Vendeur : Majestic Books, Hounslow, Royaume-Uni
Etat : New. Print on Demand. N° de réf. du vendeur 370421496
Quantité disponible : 4 disponible(s)
Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne
Etat : New. PRINT ON DEMAND. N° de réf. du vendeur 18375623981
Quantité disponible : 4 disponible(s)
Vendeur : Revaluation Books, Exeter, Royaume-Uni
Hardcover. Etat : Brand New. 208 pages. 9.50x6.50x0.75 inches. In Stock. N° de réf. du vendeur x-3662529122
Quantité disponible : 2 disponible(s)
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Buch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -This is the first book to revisit geotechnical site characterization from a probabilistic point of view and provide rational tools to probabilistically characterize geotechnical properties and underground stratigraphy using limited information obtained from a specific site. This book not only provides new probabilistic approaches for geotechnical site characterization and slope stability analysis, but also tackles the difficulties in practical implementation of these approaches. In addition, this book also develops efficient Monte Carlo simulation approaches for slope stability analysis and implements these approaches in a commonly available spreadsheet environment. These approaches and the software package are readily available to geotechnical practitioners and alleviate them from reliability computational algorithms. The readers will find useful information for a non-specialist to determine project-specific statistics of geotechnical properties and to perform probabilistic analysis of slope stability.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 208 pp. Englisch. N° de réf. du vendeur 9783662529126
Quantité disponible : 1 disponible(s)