Virtual Human Body Models
The virtual human body model is a Finite Element (FE) computational model of the human body designed to replicate its biomechanics and kinematics in a variety of scenarios. Elemance offers a variety of models including occupant, pedestrian, detailed and simplified versions.
Model Types
Elemance provides virtual human body models in varying detail options.
Detailed Models
Detailed injury prediction
Designed for crash-induced injury metrics and criteria
Robust models
Highly complex bones and internal organs
Variety of uses
Optimal for crash, sports, and military related studies


Simplified Models
Fewer elements for faster run time
Up to 50x faster run time versus detailed models
Designed for kinematics and kinetics
Optimized for robustness, ease of positioning, and modularity
Easier to configure
Fewer elements and contacts, kinematic joints, and simple materials

Detailed Model Layers

Male and female models of varying size
Both occupant and pedestrian postures Designed from a robust medical imaging dataset Comprehensive validation from tissue level up to full body More than 100 publications in the literature

Detailed musculoskeletal system for enhanced kinematics
Options for passive and active musculature
Explicitly represented organs for localized tissue injury risk prediction
Capabilities to extract both deterministic and probabilistic injury risk Continuous development to enhance injury prediction capabilities
All major biomechanical components of human skeletal system are modeled
Detailed modeling for hard tissue injury predictionSimplified Model Layers

Same body shape and size as corresponding detailed models
Developed for enhanced computational efficiency Ideal for parametric studies Designed to accurately capture kinetics and kinematic Validated at full body level
Implemented simplified material models
Reduced element density Decreased number of contacts
Thoracic and abdominal organs modeled as homogenized volumes
Volume shapes designed to allow direct implementation of detailed organs on a regional level Approach allows user to maintain computational efficiency and still predict specific injury in their area of interest