TY  - GEN
N2  - This book introduces systematically the application of Bayesian probabilistic approach in soil mechanics and geotechnical engineering. Four typical problems are analyzed by using Bayesian probabilistic approach, i.e., to model the effect of initial void ratio on the soil-water characteristic curve (SWCC) of unsaturated soil, to select the optimal model for the prediction of the creep behavior of soft soil under one-dimensional straining, to identify model parameters of soils and to select constitutive model of soils considering critical state concept. This book selects the simple and easy-to-understand Bayesian probabilistic algorithm, so that readers can master the Bayesian method to analyze and solve the problem in a short time. In addition, this book provides MATLAB codes for various algorithms and source codes for constitutive models so that readers can directly analyze and practice. This book is useful as a postgraduate textbook for civil engineering, hydraulic engineering, transportation, railway, engineering geology and other majors in colleges and universities, and as an elective course for senior undergraduates. It is also useful as a reference for relevant professional scientific researchers and engineers.
DO  - 10.1007/978-981-15-9105-1
DO  - doi
AB  - This book introduces systematically the application of Bayesian probabilistic approach in soil mechanics and geotechnical engineering. Four typical problems are analyzed by using Bayesian probabilistic approach, i.e., to model the effect of initial void ratio on the soil-water characteristic curve (SWCC) of unsaturated soil, to select the optimal model for the prediction of the creep behavior of soft soil under one-dimensional straining, to identify model parameters of soils and to select constitutive model of soils considering critical state concept. This book selects the simple and easy-to-understand Bayesian probabilistic algorithm, so that readers can master the Bayesian method to analyze and solve the problem in a short time. In addition, this book provides MATLAB codes for various algorithms and source codes for constitutive models so that readers can directly analyze and practice. This book is useful as a postgraduate textbook for civil engineering, hydraulic engineering, transportation, railway, engineering geology and other majors in colleges and universities, and as an elective course for senior undergraduates. It is also useful as a reference for relevant professional scientific researchers and engineers.
T1  - Practice of Bayesian probability theory in geotechnical engineering /
AU  - Zhou, Wan-Huan,
AU  - Yin, Zhen-Yu,
AU  - Yuen, Ka-Veng,
CN  - TA705
N1  - "Jointly published with Tongji University Press."
ID  - 1432843
KW  - Geotechnical engineering
KW  - Probabilities.
KW  - Bayesian statistical decision theory.
KW  - Engineering geology.
KW  - Foundations.
KW  - Hydraulics.
KW  - Artificial intelligence.
KW  - Computer simulation.
KW  - Géologie appliquée
KW  - Probabilités.
KW  - Théorie de la décision bayésienne.
KW  - Géologie appliquée.
KW  - Fondations (Construction)
KW  - Hydraulique.
KW  - Intelligence artificielle.
KW  - Simulation par ordinateur.
SN  - 9789811591051
SN  - 9811591059
TI  - Practice of Bayesian probability theory in geotechnical engineering /
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-15-9105-1
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-15-9105-1
ER  -