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MADYMO Human Body Modeling and Injury Prediction

30 Chapters
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01
Introduction to MADYMO for human body modeling
overview of the software suite, multibody and finite element solvers, and their roles in injury biomechanics.
MADYMOmodeling
02
Human body representation in MADYMO
ellipsoid multibody models, facet models, and finite element human models, including model families and selection criteria.
representationMADYMO
03
Anthropometry and scaling
scaling laws, GEBOD database, and generation of subject-specific human models for different occupant sizes and postures.
AnthropometryGEBOD
04
MADYMO model setup fundamentals
input deck structure, XML syntax, include files, units, coordinate systems, and model initialization.
MADYMOstructure
05
Joint modeling and kinematics
joint types, degrees of freedom, stiffness and damping characteristics, and validation against cadaveric or volunteer data.
modelingkinematics
06
Contact and restraint interaction
contact definitions, force-penetration functions, seatbelt and airbag modeling, and occupant restraint system coupling.
restraintinteraction
07
Material models for biological tissues
elastic, viscoelastic, hyperelastic, and failure criteria for skin, fat, muscle, bone, ligaments, and internal organs.
Materialbiological
08
Finite element human body models in MADYMO
THUMS, GHBMC, and MADYMO-native FE models, mesh quality, and solver compatibility.
MADYMOTHUMS
09
Injury criteria and thresholds
HIC, BrIC, DAMAGE, chest deflection, VC, tibia index, and their implementation in MADYMO output requests.
criteriathresholds
10
Load case definition for injury prediction
frontal, lateral, rear, and pedestrian impact setups, boundary conditions, and initial velocities.
definitionprediction
11
Running MADYMO simulations
solver selection, time step control, output control, restart options, and troubleshooting common convergence issues.
MADYMOsimulations
12
Post-processing and result extraction
MADYMO Viewer, XMADgic, and Python scripting for extracting kinematics, forces, moments, and injury metrics.
Post-processingextraction
13
Validation and verification of human body models
component, subsystem, and full-body validation, CORA rating, and model confidence assessment.
Validationverification
14
Frontal crash occupant modeling
driver and passenger positioning, belt routing, airbag deployment, and injury risk assessment for head, chest, and lower extremities.
occupantmodeling
15
Side impact occupant modeling
door trim interaction, side airbag, pole impact, and injury prediction for thorax, abdomen, and pelvis.
occupantmodeling
16
Pedestrian and cyclist protection
full-scale pedestrian models, leg impactors, head impact on hood, and wrap-around distance analysis in MADYMO.
Pedestrianprotection
17
Rear impact and whiplash
seat design, head restraint interaction, neck injury criteria, and low-speed rear-end collision simulation.
whiplashrestraint
18
Blast and ballistic loading
high-rate material behavior, blast wave loading, fragment impact, and injury prediction for military and protective equipment applications.
ballistichigh-rate
19
Child occupant modeling
child human body models, CRS interaction, scaling from adult models, and injury patterns specific to pediatric occupants.
occupantmodeling
20
Vulnerable road users and elderly occupants
age-related material changes, osteoporosis, and modified injury thresholds in MADYMO human models.
Vulnerableoccupants
21
Active human body models
muscle activation, pre-crash bracing, and coupling with active safety systems for integrated safety simulation.
activationpre-crash
22
Coupling MADYMO with other solvers
co-simulation with LS-DYNA, Adams, and MATLAB/Simulink for vehicle dynamics and control system integration.
CouplingMADYMO
23
Optimization and DOE in injury prediction
parameter identification, sensitivity analysis, surrogate modeling, and robust design using MADYMO and modeFRONTIER.
OptimizationDOE
24
Uncertainty quantification in human body modeling
variability in material properties, geometry, and boundary conditions, and probabilistic injury risk curves.
Uncertaintyquantification
25
Regulatory and consumer testing applications
Euro NCAP, NHTSA, and C-NCAP protocols, virtual testing, and model certification requirements.
Regulatoryconsumer
26
Model calibration against experimental data
inverse methods, optimization algorithms, and practical workflows for tuning MADYMO human models.
calibrationexperimental
27
Case study
frontal occupant injury prediction with a detailed FE human model, including model setup, simulation, and correlation with test data.
occupantprediction
28
Case study
pedestrian head injury assessment using MADYMO multibody and FE models, including parametric study and design recommendations.
pedestrianassessment
29
Case study
side impact thorax injury prediction and restraint optimization using MADYMO and DOE.
predictionrestraint
30
Emerging trends and future directions
real-time human models, digital twins, AI-assisted injury prediction, and integration with autonomous vehicle safety.
Emergingdirections