Bio-information based parametric modeling methodology research to support biomimetic design for high-speed trains

Abstract

This research suggests a morphological approach in biomimetic design with biological knowledge. esearch toward understanding the interrelationship between vehicle features with environmental fluid flows is proceeding with difficulty die to the complexity. However by mimicking a proper bio-model, many engineering design problems including reducing aerodynamic noise can be solved. Biomimetic design in highspeed vehicles is also preceded with this critical mindset. However, particularly in vehicle design, the fluid dynamic benefits that occur due to superiority of biomodels were not identified specifically even though the engineering accomplishments had been reached by applying morphological features of a bio-model. From this perspective, this research identifies approaches for developing superior model to apply in a target context. Top-down approach was adapted on bio-model parameterization and bottom-up approach was applied on parametric modification and generation. In this research, the improvements in probability were expected to enhance the developed morphological solution that was modified by controlling aerodynamic shape parameters. By controlling the morphological parameters - nose length, lean angle, and eye-ridge - the alternative models were developed, and the interrelationship between morphological features with fluid dynamics was identified by CFD simulation.