Bayesian methods for characterizing geotechnical model uncertainty =
- 出版日期：2011.
- 出版者：Tongji University Press,
- 页数：4, 161 p. :
- 出版地：[上海] :
- 第一责任说明：Zhang Jie.
- 尺寸：26cm.
- 分类号：a478 ; a116
- ISBN：978-7-5608-4697-2(pbk.) :
MARC全文
02h0028965 20130106150112.0 120731s2011 cc a frb |000|||eng | 978-7-5608-4697-2(pbk.) : CNY40.00 NGL NGL NGL a478 ; a116 aO212.8 ; aTU4 Zhang, Jie. Bayesian methods for characterizing geotechnical model uncertainty = 描述岩土工程模型不确定性特征的贝叶斯方法 / Zhang Jie. 描述岩土工程模型不确定性特征的贝叶斯方法 [上海] : Tongji University Press, 2011. 4, 161 p. : ill. ; 26cm. "上海市科技专著出版基金资助"--tp. Includes bibliographic reference. As any model is only an abstraction of the real world, model uncertainty always exists. Ingeotechnical engineering, the model uncertainty could be large. Lack of knowledge about modeluncertainty may lead to unrealistic predictions. When back analysis from observed performances,model uncertainty is often mixed with parameter uncertainty and observational uncertainty. Hence itis generally difficult to isolate and characterize model uncertainty. This book introduces the state-of-the-art theories and methodologies for geotechnical model uncertainty characterization based on theBayesian theory, including both rigorous solution and approximate but practical solutions, where theeffects of parameter uncertainty and observational uncertainty on model uncertainty characterizationare appropriately addressed. The theories and methodologies are illustrated in detail with variousgeotechnical problems. The book will be of general interest to readers in the profession andparticularly useful for those specializing in geotechnical inverse analysis and geotechnical reliability. Bayesian statistical decision theory. ; Geotechnical engineering. aCN b010001 NGL 478 Z6b gljx1203 h1 ; rCNY40.00