Hybrid Genetic Algorithm for Elimination of Severe Stress Concentration in Railhead Ends

作者：Zong Nannan; Dhanasekar Manicka^*

来源：Journal of Computing in Civil Engineering, 2015, 29(5): 04014075.

DOI：10.1061/(ASCE)CP.1943-5487.0000374

• Hybridized genetic algorithm
• Shape optimization
• Wheel-railhead contact
• Rail edge stress

This paper presents a computational method for eliminating severe-stress concentration at the unsupported railhead ends in rail joints through innovative shape optimization of the contact zone, which is complex due to near field nonlinear contact. With a view to minimizing the computational efforts, a hybrid genetic algorithm (GA) method coupled with parametric finite element has been developed and compared with the traditional GA. The shape of railhead top surface where the wheel contacts nonlinearly was optimized using the hybridized GA method. Comparative study of the optimal result and the search efficiency between the traditional and hybrid GA methods has shown that the hybridized GA provides the optimal shape in fewer computational cycles without losing accuracy. The method will be beneficial to solving complex engineering problems involving contact nonlinearity.

• 出版日期2015-9