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English
Elsevier - Health Sciences Division
20 August 2025
Resilient, Sustainable and Smart Ballasted Railway Track explores the optimization of railway ballast tracks to achieve resilience, sustainability, and intelligence in railway infrastructure. It summarizes and examines new technologies and developments that address unresolved rapid defects in track components, such as rail damage, track stability, ballast flight, and ballast fouling. This book discusses the application of innovative materials derived from waste and recycled railway components, including derived aggregates, recycled ballast, Neoballast, and polyurethane (often referred to as ballast glue). This book examines state-of-the-art structural health monitoring techniques, such as smart sleepers, interferometric synthetic aperture radar, ground-penetrating radar, and inspection robots.
Edited by:   , ,
Imprint:   Elsevier - Health Sciences Division
Country of Publication:   United States [Currently unable to ship to USA: see Shipping Info]
Dimensions:   Height: 229mm,  Width: 152mm, 
Weight:   1.000kg
ISBN:   9780443333682
ISBN 10:   0443333688
Pages:   860
Publication Date:  
Audience:   Professional and scholarly ,  Undergraduate
Format:   Paperback
Publisher's Status:   Active

Dr. Yunlong Guo is a Marie Skłodowska-Curie Research Fellow at the University of Birmingham, United Kingdom. He earned his PhD in Civil Engineering from Delft University of Technology. His research specializes in railway geotechnics and railway structure monitoring, employing advanced methodologies such as digital twins and machine learning. Dr. Guoqing Jing is a Professor at the Highway and Railway Engineering Department at Beijing Jiaotong University, China. He received his PhD in Civil Engineering from INSA de Rennes, France. Previously, he served as the Vice Director of the State Key Laboratory of Waterproof Materials in China and as a Guest Professor at UMP, Malaysia. Professor Jing’s current research focuses on ballasted track engineering, with an emphasis on recycled and composite materials. His work extensively utilizes numerical methods such as the discrete element method.

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