Vladimir Makarov – författare

Modeling in Geotechnical Engineering is a one stop reference for a range of computational models, the theory explaining how they work, and case studies describing how to apply them. Drawing on the expertise of contributors from a range of disciplines including geomechanics, optimization, and computational engineering, this book provides an interdisciplinary guide to this subject which is suitable for readers from a range of backgrounds.

Before tackling the computational approaches, a theoretical understanding of the physical systems is provided that helps readers to fully grasp the significance of the numerical methods. The various models are presented in detail, and advice is provided on how to select the correct model for your application.

Provides detailed descriptions of different computational modelling methods for geotechnical applications, including the finite element method, the finite difference method, and the boundary element method Gives readers the latest advice on the use of big data analytics and artificial intelligence in geotechnical engineering Includes case studies to help readers apply the methods described in their own work

Modeling in Geotechnical Engineering is a one stop reference for a range of computational models, the theory explaining how they work, and case studies describing how to apply them. Drawing on the expertise of contributors from a range of disciplines including geomechanics, optimization, and computational engineering, this book provides an interdisciplinary guide to this subject which is suitable for readers from a range of backgrounds.Before tackling the computational approaches, a theoretical understanding of the physical systems is provided that helps readers to fully grasp the significance of the numerical methods. The various models are presented in detail, and advice is provided on how to select the correct model for your application.- Provides detailed descriptions of different computational modelling methods for geotechnical applications, including the finite element method, the finite difference method, and the boundary element method- Gives readers the latest advice on the use of big data analytics and artificial intelligence in geotechnical engineering- Includes case studies to help readers apply the methods described in their own work

This second volume of “Progress in Photon Science – Recent Advances” presents the latest achievements made by world-leading researchers in Russia and Japan. Thanks to recent advances in light source technologies; detection techniques for photons, electrons, and charged particles; and imaging technologies, the frontiers of photon science are now being expanding rapidly. Readers will be introduced to the latest research efforts in this rapidly growing research field through topics covering bioimaging and biological photochemistry, atomic and molecular phenomena in laser fields, laser–plasma interaction, advanced spectroscopy, electron scattering in laser fields, photochemistry on novel materials, solid-state spectroscopy, photoexcitation dynamics of nanostructures and clusters, and light propagation.