Results 71 to 80 of about 550,441 (188)
Efficient quantifying track structure cracks using deep learning
Abstract High‐speed railway ballastless track structure crack detection usually has a high demand for the efficiency of crack detection technology. To overcome the limitation that current crack quantification methods usually require multiple steps, this paper proposes an efficient quantification method for track structure cracks using deep learning ...
Hongshuo Sun, Li Song, Zhiwu Yu
wiley +1 more source
Field Tests on Eco-Friendly Railway Precast Concrete Slab
This study focuses on evaluating the field performance of a newly developed eco-friendly precast concrete slab track structure for railway/subway systems in Seoul, South Korea.
Taehoon Koh, Moochul Shin
doaj +1 more source
Parallel computing aided analyses of dynamic buckling for railway track infrastructure
Abstract This paper presents a scalable parallel computing framework for simulating track buckling under dynamic train loads, enabling large‐scale railway track stability analysis. A three‐dimensional (3D) track model is developed using finite element‐based Euler–Bernoulli beam formulations for rails, dynamic force inputs, and nonlinear interactions at
Dan Agustin +4 more
wiley +1 more source
Due to the fact that ballastless tracks in high-speed railways are not only subjected to repeated train–track dynamic interaction loads, but also suffer from complex environmental loads, the fundamental understanding of mechanical performance of ...
Shengyang Zhu +3 more
doaj +1 more source
Numerical and Experimental Research on Identifying a Delamination in Ballastless Slab Track [PDF]
This paper aims to adopt the total focusing method (TFM) and wavenumber method for characterizing a delamination in ballastless slab track. Twelve dry point contact (DPC) transducers located at the upper surface of the slab track compose a linear array.
Guopeng Fan +4 more
openaire +2 more sources
Weak Supervision: A Survey on Predictive Maintenance
The authors conduct a comprehensive examination of Weakly Supervised Learning for Predictive Maintenance, the survey discusses the challenges and identifies open research lines. ABSTRACT The maintenance advancements achieved in Industry 4.0 generate large amounts of data, necessitating complete, accurate, and precise labels for training datasets to ...
Antonio M. Martínez‐Heredia +1 more
wiley +1 more source
This study aims to explore the dynamic response of ballastless tracks under various temperatures of the cement-emulsified asphalt (CA) mortar layer and other environmental factors.
Yunqing Chen +3 more
doaj +1 more source
The ballastless track is nowadays the most popular railway system due to the required low number of maintenance operations and costs, despite the high investment.
Ana Ramos +2 more
doaj +1 more source
Diagnosis of high‐speed railway ballastless track arching based on unsupervised learning framework
Abstract Vehicle‐mounted detection methods have been widely applied in the maintenance of high‐speed railways (HSRs), providing feasibility for diagnosing ballastless track arching. However, applying detection data faces several key limitations: (1) The threshold mostly requires manual setting, making recognition accuracy highly subjective; (2) the ...
Xueyang Tang +4 more
wiley +1 more source
FERROVIAS EM LAJE: o estado da arte [PDF]
TCC (graduação) - Universidade Federal de Santa Catarina. Centro Tecnológico. Engenharia Civil.Existe uma demanda crescente no transporte ferroviário no mundo.
Olinger, Marcelo Salles
core

