压舱物
磁道(磁盘驱动器)
结构工程
开裂
刚度
工程类
还原(数学)
压力(语言学)
岩土工程
材料科学
复合材料
机械工程
几何学
电气工程
语言学
数学
哲学
作者
Renga Rao Krishnamoorthy,Zobaer Saleheen
出处
期刊:International journal of engineering and advanced technology
[Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP]
日期:2019-10-30
卷期号:9 (1): 5741-5745
被引量:1
标识
DOI:10.35940/ijeat.a3056.109119
摘要
Ballast is the weakest among all of the railway track components due to its latent dynamic shifting and variation of stiffness along and across the track. Sharp Angular shape of the ballast components hinders evenly distribution of loads from sleeper to ballast, which in turn causes the sleepers to deteriorate over time resulting in higher frequency of railway track maintenance. Previous studies have shown that having an under-sleeper pad (USP) in between sleeper and ballast increases the contact area between them significantly. This by itself reduces the long-term damage on sleepers by a substantial amount. However, concrete sleeper is subjected to cracking due to excessive dynamic load from rail wheels. This paper intends to numerically evaluate whether the cracking of concrete sleepers gets reduced due to installing of USPs in the railway track system. The foremost reason behind cracking of concrete sleepers is the induced dynamic loads due to track irregularities and imperfect wheel rail contact. The most affected portion is at the bottom of the rail seat location of sleeper. Thus, two finite element models (one without USP and one with a 20mm thick USP attached at sleeper bottom) were analyzed while incorporating the concrete damage plasticity in the sleepers’ material. Results have shown better performance of concrete sleepers with USPs. Sleeper pads have shown a tendency to minimize excessive stress developed within naked concrete sleepers. Substantial advantage of using USPs in terms of damage reduction among sleepers were also perceived during conducting this analysis. Consequential reduction of crack formation was observed after installation of USPs.
科研通智能强力驱动
Strongly Powered by AbleSci AI