The study of buckling load of long welded rail to temperature effect by Particle Swarm Optimization

• Main Authors: Shih-Jie Liao, 廖世傑
• Other Authors: 張明添
• Format: Others
• Language: zh-TW
• Published: 2014
• Online Access: http://ndltd.ncl.edu.tw/handle/62822716845003895062

碩士 === 國立中興大學 === 土木工程學系所 === 102 === The purpose of this study is to utilize particle swarm optimization approach to investigate the axial load of long welded rail to temperature effects. When the temperature of bounded long welded rail rises, due to local weather condition or car braking, the axial load of long welded rail is induced. The mean rising temperature of 40℃ of the rail is assumed, and the coefficients of variation are 0.05,0.1 and 0.25, respectively. The coefficients of variation of sectional area, linear expansion and Young’s modulus of the rail are 0.01,0.02 and 0.05, respectively. Assume the mean buckling load of the rail is 75300 kgf and car braking force is 25000 kgf. It is shown that the statistical mean axial load to temperature effects is 61500 kgf. If the phenomenon of local temperature rising and emergency car braking occurs simultaneously, the rail do have the risk to buckle.