Dynamic Analysis of High-Speed Railway Alignment: Theory and Practice elaborates on the dynamic analysis theory and method on spatial alignment parameters of high-speed railways, revealing the interaction mechanism between vehicle-track dynamic performance and track parameters of high-speed railways. It ascertains the influence rules of track structure and track geometry on vehicle-track dynamic performance, establishes the relationship models between vehicle-track dynamic performance and curve dynamic characteristic parameters, and defines the calculation relationship between lateral acceleration of car body on curves and track parameters. This book can be used as a reference book for scientific researchers, engineering technicians and management engaged in railway engineering, and will be very helpful for railway technicians who want to learn more about route planning, design, and construction and maintenance technologies of high-speed railways. Presents the dynamic effects between the running speed of high-speed trains on curves and spatial curve technical parameters Provides dynamic analysis, theory and methods on curve parameters of high-speed railways and improves the calculation theory on spatial alignment of high-speed railways Covers minimum curve radius, transition curve length, minimum radius of vertical curve, steepest slope, minimum slope length and length of intermediate straight line

This book systematically summarizes the latest research findings on high-speed railway track dynamics, made by the author and his research team over the past decade. It explores cutting-edge issues concerning the basic theory of high-speed railways, covering the dynamic theories, models, algorithms and engineering applications of the high-speed train and track coupling system. Presenting original concepts, systematic theories and advanced algorithms, the book places great emphasis on the precision and completeness of its content. The chapters are interrelated yet largely self-contained, allowing readers to either read through the book as a whole or focus on specific topics. It also combines theories with practice to effectively introduce readers to the latest research findings and developments in high-speed railway track dynamics. It offers a valuable resource for researchers, postgraduates and engineers in the fields of civil engineering, transportation, highway & railway engineering.

Wind Forecasting in Railway Engineering presents core and leading-edge technologies in wind forecasting for railway engineering. The title brings together wind speed forecasting and railway wind engineering, offering solutions from both fields. Key technologies are presented, along with theories, modeling steps and comparative analyses of forecasting technologies. Each chapter presents case studies and applications, including typical applications and key issues, analysis of wind field characteristics, optimization methods for the placement of a wind anemometer, single-point time series along railways, deep learning algorithms on single-point wind forecasting, reinforcement learning algorithms, ensemble single-point wind forecasting methods, spatial wind, and data-driven spatial-temporal wind forecasting algorithms. This important book offers practical solutions for railway safety, by bringing together the latest technologies in wind speed forecasting and railway wind engineering into a single volume. Presents the core technologies and most advanced developments in wind forecasting for railway engineering Gives case studies and experimental designs, demonstrating real-world applications Introduces cutting-edge deep learning and reinforcement learning methods Combines the latest thinking from wind engineering and railway engineering Offers a complete solution to wind forecasting in railway engineering for the safety of running trains

This book presents the findings of scientific studies on the successful operation of complex transport infrastructures in regions with extreme climatic and geographical conditions. It features the proceedings of the VIII International Scientific Siberian Transport Forum, TransSiberia 2019, which was held in Novosibirsk, Russia, on May 22–27, 2019. The book discusses improving energy efficiency in the transportation sector and the use of artificial intelligence in transport, highlighting a range of topics, such as freight and logistics, freeway traffic modelling and control, intelligent transport systems and smart mobility, transport data and transport models, highway and railway construction and trucking on the Siberian ice roads. Consisting of 214 high-quality papers on a wide range of issues, these proceedings appeal to scientists, engineers, managers in the transport sector, and anyone involved in the construction and operation of transport infrastructure facilities.

This book presents both the fundamental theory and numerical calculations and field experiments used in a range of practical engineering projects. It not only provides theoretical formulations and various solutions, but also offers concrete methods to extend the life of existing bridge structures and presents a guide to the rational design of new bridges, such as high-speed railway bridges and long-span bridges. Further, it offers a reference resource for solving vehicle–structure dynamic interaction problems in the research on and design of all types of highways, railways and other transport structures.