Kategoria BISAC: Science >> Earth Sciences - General

This book gathers the latest advances, innovations and applications in the field of sustainable construction materials and structures, as presented by leading international researchers and engineers at the 14th International scientific conference “Modern Building Materials, Structures and Techniques” (MBMST 2023), held in Vilnius, Lithuania, on 5–6 October 2023. It covers topics such as modern building materials and their production technologies; investigation and design of reinforced concrete, steel, glass, timber and composite structures; innovative calculation techniques for...

This book presents dynamic response, vibration characteristics, and nonlinear behavior of complex oil and gas well string by using a combination of theoretical methods, numerical simulation, and experimental analysis. It lays both theoretical and experimental foundation for the design of oil and gas well string parameters. The theoretical methods involved mainly include Hamilton's principle, finite element method, and energy method, while experimental methods involved include similarity principle, vibration testing method, and modal analysis method. It is a valuable reference for both...

The book is on latest investigations of natural hazards like earthquakes, landslides, and glacial hazards carried out in last few years. Review papers are on the crustal structure of Himalaya based on latest studies through tomography and receiver transfer function. The seismotectonic models inferred from detailed modelling are also presented. Papers are on shallow soil/sediment structures inferred from passive seismic data, and also on estimation of strong ground motion. Several papers are on landslides and slope stability and two papers on glacial Hazards. A paper suggests...

This book provides a new data augmentation method based on the local stochastic distribution patterns in natural time series data of global and regional seismicity rates and their correlated seismicity rates. The augmentation procedure is called the diffusion - denoising augmentation method from the local Gaussian distribution of segmented data of long time series. This method makes it possible to apply the deep machine learning necessary to neural network prediction of rare large earthquakes in the global and regional earth system.

The book presents the physical background of the...