Study on the Prediction Method of Track Maintenance Cycle Based on Track Quality State

Autor: Xiao Pei Cai, Zi Ling Zhang, Ji Deng
Rok vydání: 2013
Předmět:
Zdroj: Advanced Materials Research. :1259-1262
ISSN: 1662-8985
DOI: 10.4028/www.scientific.net/amr.671-674.1259
Popis: Due to the impact of train load, temperature force and foundation deformation, high-speed railway track disease becomes more and more serious. The existing track maintenance mode can’t meet the requirement of the modern tack structure. Track quality state and its evaluation ways was analyzed, and a method to predict track maintenance cycle based on the track quality deterioration rule was put forward. The track maintenance cycle could be forecasted scientifically by TQI deterioration rule, which is of great significance to high-speed railway maintenance in the future.
Databáze: OpenAIRE