HUMAN BODY MODEL AND PASSIVE SAFETY OF AUTONOMOUS VEHICLES: ANALYSIS OF BIOMECHANICAL RESULTS AND STUDY OF INJURIES

This thesis work is aimed at studying the passive safety of the autonomous vehicle, investigating the performance of the new methodologies developed by Jsol Corporation for studying human body injury and injury risk. In this aim, series simulations that are set in a FE environment are reproduced, in which the offset impact crash tests are being performed by using a middle size sedan model, and a moving deformable barrier as the impactor. In particular, the finite element HBM (human body model) being used in this thesis is the total human model for safety (THUMS) developed by Toyota Motor Corporation, and the simulations are carried out by using Computational resources provided by hpc@polito, which is a project of Academic Computing within the Department of Control and Computer Engineering at the Politecnico di Torino (http://www.hpc.polito.it). Once the simulations are accomplished, the biomechanical data is obtained, in the next step, the result will be analysed by using the THUMS injury risk visualization tool from Jsol corporation, which consists of two programs, CLI (command-line interface and web application). CLI program is used for extracting some data from LS-DYNA simulation results (d3plot) and generating the CSV files that can be read by the web application. The web application is used for visualizing the injury risk of HBM