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Preface
Strong wind along the railways greatly affects the lateral stability of railway trains, even causes serious accidents such as derailment, overturning, etc. China, the United States, Japan and other countries have experienced severe wind-induced train overturning accidents , causing serious loss of life and property. To ensure the safe operation of trains, it is urgently needed to enhance wind-proof performance of railway trains.
In the existing railway wind engineering research, wind forecasting along the railways is recognized to be able to effectively improve the wind-proof performance of trains. The system based on wind forecasting can prevent the trains from being exposed to future strong wind to improve safety, and it can also avoid the redundant speed limitation of the trains to improve efficiency. Researchers have proposed several effective railway strong wind prediction systems.
Due to the non-linearity and non-stationarity of the wind, it is still a difficult problem to realize high-precision spatio-temporal wind speed prediction. The author refines researches contents of the past 10 years, and completes this book. This book focuses on three key technologies, including anemometer layout, single-point wind prediction and spatial wind prediction. The characteristics of wind flow field, single-point wind, and spatial wind are analyzed. The advanced physical models and data-driven models are introduced with real data demonstration.
