Regression Model for Light Weight and Crashworthiness Enhancement Design of Automotive Parts in Frontal Car Crash

Abstract

This paper deals with a regression model for light weight and crashworthiness enhancement design of automotive parts in frontal car crash. The ULSAB-AVC model is employed for the crash analysis and effective parts are selected based on the amount of energy absorption during the crash behavior. Finite element analyses are carried out for designated design cases in order to investigate the crashworthiness and weight according to the material and thickness of main energy absorption parts. Based on simulations results, a regression analysis is performed to construct a regression model utilized for light weight and crashworthiness enhancement design of automotive parts. An example for weight reduction of main energy absorption parts demonstrates the validity of a regression model constructed.

Nonlinear pushover analysis of concrete column reinforced by multi-layered, high strength steel UL700 plates

“…9-11, and steel kinds (SS400, STK500, UL700) [24,25] of Table 3 are taken as variables are shown in Figs. 12-14, respectively.…”

“…Kind of steel [24,25] Yield strength (MPa) Tensile strength (MPa) SS400 235 400 STK500 325 500 UL700 590 700 At this time, the size of the reinforcing cover plate is the same for every analytical model, as shown in Fig. 8.…”