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Dummy-to-HBM Injury Metric Interpretation and Tissue Risk Assessment

30 Chapters
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01
Course overview
scope, objectives, and the dummy-to-HBM injury metric interpretation workflow.
objectivesdummy-to-HBM
02
Anthropomorphic test devices (ATDs) and human body models (HBMs)
roles, capabilities, and limitations in injury assessment.
AnthropomorphicATDs
03
Injury metrics and criteria
definitions, units, and thresholds for head, neck, chest, abdomen, and extremities.
criteriadefinitions
04
Mapping dummy measurements to HBM responses
coordinate systems, instrumentation, and data acquisition.
measurementsHBM
05
Signal processing for injury metrics
filtering, differentiation, integration, and standardization (SAE J211/ISO 6487).
processingfiltering
06
Head injury metrics
HIC, HIP, BrIC, and their interpretation from dummy and HBM outputs.
HICHIP
07
Neck injury metrics
Nij, Nkm, neck tension/compression, and flexion/extension moments.
tension/compressionflexion/extension
08
Chest injury metrics
chest deflection, VC, TT I, and rib fracture risk from dummy and HBM data.
deflectionfracture
09
Abdomen and pelvis injury metrics
compression, force, and pressure-based criteria.
compressionpressure-based
10
Extremity injury metrics
femur force, tibia index, and joint kinematics.
Extremitykinematics
11
Tissue-level injury predictors
strain, strain rate, stress, and their extraction from HBM simulations.
Tissue-levelpredictors
12
Correlating dummy-based metrics with HBM tissue responses
statistical and biomechanical approaches.
Correlatingdummy-based
13
Uncertainty and sensitivity analysis in injury metric interpretation.
Uncertainty and sensitivity analysis in injury metric interpretation.
Uncertaintysensitivity
14
Case study
frontal impact—comparing dummy injury metrics with HBM-predicted tissue strains.
comparingHBM-predicted
15
Case study
side impact—chest deflection and rib fracture risk assessment.
deflectionfracture
16
Case study
rear impact—neck injury metrics and whiplash-associated disorders.
whiplash-associateddisorders
17
Case study
pedestrian protection—head and leg injury metrics from dummy and HBM.
pedestrianprotection
18
Interpreting injury metrics for regulatory compliance
FMVSS, Euro NCAP, and other standards.
Interpretingregulatory
19
Advanced HBM tissue risk assessment
probabilistic methods and injury risk curves.
AdvancedHBM
20
Validation and verification of HBM tissue injury predictions against experimental data.
Validation and verification of HBM tissue injury predictions against experimental data.
Validationverification
21
Practical exercise
processing dummy accelerometer data to compute HIC and BrIC.
exerciseprocessing
22
Practical exercise
extracting strain from HBM simulation and correlating with dummy chest deflection.
exerciseextracting
23
Practical exercise
sensitivity study on mesh density and material properties for tissue risk.
exercisesensitivity
24
Visualization and reporting of injury metrics and tissue risk maps.
Visualization and reporting of injury metrics and tissue risk maps.
Visualizationreporting
25
Integrating dummy and HBM data for holistic injury assessment in vehicle design.
Integrating dummy and HBM data for holistic injury assessment in vehicle design.
IntegratingHBM
26
Limitations and challenges
dummy biofidelity, HBM variability, and metric transferability.
Limitationschallenges
27
Emerging trends
advanced ATDs, subject-specific HBMs, and machine learning for injury prediction.
Emergingadvanced
28
Ethical and regulatory considerations in using HBMs for injury assessment.
Ethical and regulatory considerations in using HBMs for injury assessment.
regulatoryconsiderations
29
Project
develop an injury metric interpretation report for a given crash scenario using dummy and HBM data.
interpretationscenario
30
Course summary
key takeaways, best practices, and future directions in dummy-to-HBM injury metric interpretation.
takeawayspractices