Author: Liu Handong
Publisher:
Publish Date: 2006-08-01
Features: This book focuses on introducing the theory of rock mass mechanical parameter optimization, conducting detailed research on new methods based on nonlinear theory, and conducting in-depth studies on targeted methods for the reasonable selection of rock mass mechanical parameters, parameter optimization theory, and the application of research results. It particularly establishes random-fuzzy methods based on nonlinear theory, reliability-based probability theory methods, and recently applied new methods such as fractal theory, partial least squares method, neural network methods, and least squares neural network correlation analysis methods. The obtained rock mass mechanical parameter theory and methods are applied to the design of large-scale pilot projects such as Baquan Pumped Storage Power Station, Xiluodu Hydropower Station, and Xiaolangdi Hydropower Station. This book can serve as a reference for undergraduate and graduate students in geotechnical engineering, as well as for researchers and engineering technicians in related fields.
This book focuses on introducing the theory of rock mass mechanical parameter optimization, conducting detailed research on new methods based on nonlinear theory, and conducting in-depth studies on targeted methods for the reasonable selection of rock mass mechanical parameters, parameter optimization theory, and the application of research results. It particularly establishes random-fuzzy methods based on nonlinear theory, reliability-based probability theory methods, and recently applied new methods such as fractal theory, partial least squares method, neural network methods, and least squares neural network correlation analysis methods. The obtained rock mass mechanical parameter theory and methods are applied to the design of large-scale pilot projects such as Baquan Pumped Storage Power Station, Xiluodu Hydropower Station, and Xiaolangdi Hydropower Station. This book can serve as a reference for undergraduate and graduate students in geotechnical engineering, as well as for researchers and engineering technicians in related fields.
Rock mechanics parameter optimization theory and application
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