Human Body Model

Realistic articulation, positioning and simulation of Human Body Models using Oasys LS-DYNA tools

The application of human body models (HBMs) in numerical simulation offers exciting opportunities in automotive development in areas such as comfort, ergonomics, and safety. These models are used to simulate human body kinematics and injury responses and risks in a variety of simulated impact scenarios. The industry leading THUMS and GHBMC family of models are usually provided in two standard postures – occupant and pedestrian. The occupant posture is typically a driving posture in an up-right position, whereas the pedestrian is a walking posture with fixed arm and leg angles. These standard postures are limiting and do not reflect the diversity of postures which an occupant or pedestrian can assume at the point of a collision. Furthermore, current trends in vehicle automation are also expected to give rise to new seating postures such as forward or backward facing reclined seats. A major challenge for users, however, is that these models are not provided with pre-configured information to aid positioning making it a very difficult and time-consuming effort.

Comparative Study of Positioning HBM to Cycling Postures Based on Experimental Data

The objective of Crash Analysis is to ensure the safety of a diverse spectrum of road users through the utilization of several finite element (FE) crash simulations. While a considerable number of studies have focused on evaluating the motion and the potential injuries of occupants and pedestrians, the investigation of two-wheel vehicle users remains underrepresented, even though they are considered vulnerable road users and two-wheelers are common personal transportation. Therefore, studying their kinematic behavior in multiple collisions is crucial to ensure safe and convenient travel.

Assessment of Abdominal and Skeletal loadings and Kinematics during Frontal Impacts through a Novel Tool for HBM Variants Generation Based on the Occupant’s BMI

HBM variant generation tools are solely based on morphing techniques to adjust the shape of the external surface to a target depending on the BMI of interest. Even though this approach can quickly produce HBM variants, downgrades the model’s mesh by stretching the elements and compromising their quality. Furthermore, the dependence of the abdominal organs morphology on the occupant’s BMI is rarely, taken into account. This paper presents a novel tool for automatic HBM variant generation, that respects elements’ quality taking also into account the volume of the abdominal organs.