This book focuses on the latest scientific and technological advancements in the field of railway turnout engineering. It offers a holistic approach to the scientific investigation of the factors and mechanisms determining performance degradation of railway switches and crossings (S&Cs), and the consequent development of condition monitoring systems that will enable infrastructure managers to transition towards the implementation of predictive maintenance. The book is divided into three distinct parts. Part I discusses the modelling of railway infrastructure, including switch and crossing systems, while Part II focuses on metallurgical characterization. This includes the microstructure of in-field loaded railway steel and an analysis of rail screw failures. In turn, the third and final part discusses condition monitoring and asset management.

Given its scope, the book is of interest to both academics and industrial practitioners, helping them learn about the various challenges characterizing this engineering domain and the latest solutions to properly address them.

Autorentext

Roberto Galeazzi is an Associate Professor of Control Theory and Technology. His main areas of research are fault diagnosis and failure prognosis for safety-critical systems. He researches methods and tools for the design of condition monitoring systems that can operate in real industrial contexts. His research displays a high level of multidisciplinarity, drawing from the scientific areas of system dynamics, estimation theory, signal processing, system identification, probabilistic learning, and change detection theory. The validity of his scientific approach has already been demonstrated for the operational safety of merchant and offshore vessels, as well as high-speed rotating machines.

Hilmar K. Danielsen is a Senior Researcher with 15 years of experience in metallurgical research and the development of steels, working in close cooperation with international research groups as well as industry on an international level. His main research area is metallic components and structures for wind turbines and combines metallurgical characterization and mechanical testing, primarily for rolling contact fatigue in wind turbine bearing steels and rails. He has also been active in other fields, e.g. alloy development, high-temperature creep-resistant steels, and thermodynamic and kinetic modelling.

Bjarne K. Ersbøll is a Professor of Statistics and Data Analysis. He has considerable experience in the application of these disciplines in industrial and medical projects. His research is largely inspired by finding solutions to real-world problems in industry and often in collaboration with industry. In addition to his educational duties, he provides research-based consultancy on applied statistics and data analysis.

Dorte Juul Jensen is a Professor of Materials Science and Advanced Characterization. Her main areas of research include plastic deformation and annealing of metallic materials; X-ray diffraction, electron microscopy, and neutron scattering characterization of materials; development of new characterization techniques, e.g. 4-dimensional microstructural mapping; and advanced manufacturing of metallic materials. Further, her work ranges from applied research (e.g. faults in rails, advanced steels for automotive, and aluminium for packaging) to basic science (presently financed via an ERC Advanced Grant on metal microstructures in 4 dimensions).

Ilmar F. Santos is a Professor of Mechanical Engineering at the Technical University of Denmark. His main areas of research include dynamics and control of machines and structures, high-fidelity mathematical modelling based on multiphysics (virtual twins), contact mechanics, and tribology. His work ranges from applied research focusing on the degradation of rail components due to the dynamic interaction with passing trains and aided by high-fidelity simulation models to basic science on multibody dynamics, vibration monitoring and analysis, and contact mechanics.

Inhalt
Design and Modelling.- Dynamic analysis of Train-Track-Substructure Interaction for Detection of Acceleration Sensitive Areas of a Rail.- Next Generation Switch and Crossing Systems.- Statistical Model of Railway's Turnout Based on Train Induced Vibrations.-Metallurgical Characterization.- Damage and Microstructure of In-Field Loaded Railway Steel.- Metallurgical Investigation of Switches and Crossings.- Analysis of Rail Screw Failures.- Condition Monitoring and Asset Management.- Data Based Condition Monitoring and Prediction Analytics for Turnouts.- Monitoring of Switches and Crossings Using Smart Sensors.- Detecting Faults in Turnouts with the Track Recording Car.- Automatic Detection of Railway Failures from Images.- Fault Detection, Diagnosis and Prognosis of Point Operating Equipment.- Data Sources and Research Models for Turnouts.- The Effect of Tamping on Railway Track Geometry in Turnouts.- The Principles, Organization and Instrumentation of an Asset Management System.- Ways to Improve the Performance and Costs of Turnouts.