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Crash Injury Risk Modeling with Simulation and Test Data

30 Chapters
View Course Samples Online
01
Course overview
scope, key concepts, and the role of simulation and test data in crash injury risk modeling.
simulationmodeling
02
Injury biomechanics fundamentals
injury mechanisms, tolerance criteria, and risk functions for head, thorax, abdomen, and extremities.
biomechanicsmechanisms
03
Crash test data sources
FMVSS, Euro NCAP, IIHS, and real-world crash databases such as NASS-CDS and CISS.
FMVSSNCAP
04
Simulation platforms for crash injury modeling
LS-DYNA, PAM-CRASH, Radioss, and Abaqus explicit solvers.
Simulationplatforms
05
Finite element human body models
THUMS, GHBMC, and SAFER HBM for occupant injury prediction.
THUMSGHBMC
06
Multibody and lumped-parameter models for rapid injury risk assessment and parameter sweeps.
Multibody and lumped-parameter models for rapid injury risk assessment and parameter sweeps.
Multibodylumped-parameter
07
Test data preprocessing
filtering, alignment, and signal processing for acceleration, force, and deflection channels.
preprocessingfiltering
08
Injury risk curve development
logistic regression, survival analysis, and Weibull fits to test and field data.
developmentlogistic
09
Correlation and validation metrics
CORA, ISO/TS 18571, and objective rating for simulation versus test.
Correlationvalidation
10
Occupant packaging and restraint system modeling
airbags, seat belts, pretensioners, and load limiters.
Occupantpackaging
11
Pedestrian and cyclist injury risk modeling
head impact, leg impact, and vulnerable road user protection.
Pedestrianmodeling
12
Side impact and far-side occupant injury risk
door trim, side airbags, and pole test scenarios.
far-sideoccupant
13
Rear impact and whiplash injury risk
seat design, head restraint geometry, and neck injury criteria.
whiplashrestraint
14
Rollover and roof crush injury risk
structural integrity, ejection mitigation, and occupant kinematics.
Rolloverstructural
15
Child occupant injury risk
CRS modeling, age-specific material properties, and Q-series ATDs.
occupantCRS
16
ATD versus HBM for injury risk prediction
strengths, limitations, and hybrid approaches.
ATDHBM
17
Material modeling for biological tissues
strain-rate dependence, failure, and validation against cadaver tests.
Materialmodeling
18
Uncertainty quantification in injury risk modeling
Monte Carlo, polynomial chaos, and sensitivity analysis.
Uncertaintyquantification
19
Machine learning for injury risk prediction
feature engineering from simulation and test data.
predictionsimulation
20
Real-world crash reconstruction and injury outcome linkage
EDR, event data, and hospital records.
Real-worldreconstruction
21
Design of experiments for crash simulation
DOE, surrogate models, and optimization for injury reduction.
experimentssimulation
22
Regulatory and consumer rating applications
FMVSS 208, Euro NCAP, and IIHS injury risk thresholds.
Regulatoryconsumer
23
Case study
frontal offset deformable barrier test simulation and injury risk correlation.
deformablesimulation
24
Case study
side impact MDB test simulation and thoracic injury risk assessment.
MDBsimulation
25
Case study
pedestrian head impact simulation and HIC-based risk mapping.
pedestriansimulation
26
Case study
whiplash rear impact simulation and NIC/ Nkm risk evaluation.
whiplashsimulation
27
Case study
child restraint system simulation and CRS performance rating.
restraintsimulation
28
Case study
real-world crash reconstruction using simulation and test data fusion.
real-worldreconstruction
29
Model validation and verification
test matrix design, instrumentation, and acceptance criteria.
validationverification
30
Capstone project
end-to-end injury risk model development, validation, and reporting for a selected crash scenario.
Capstoneend-to-end