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018-Airbag Impact Testing and CAE Correlation
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《PAB Passenger Airbag Impact Test and CAE Correlation》
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PAB Passenger Airbag Impact Test and CAE Correlation
30 Chapters
View Course Samples Online
01
PAB system fundamentals
passenger airbag architecture, deployment physics, and occupant protection mechanisms in frontal impact.
PAB
passenger
02
Regulatory and consumer rating requirements
FMVSS 208, ECE R94/R95, C-NCAP, Euro NCAP, and IIHS protocols for PAB validation.
Regulatory
consumer
03
Impact test facility setup
sled test, full vehicle crash test, and static deployment rig configurations for PAB evaluation.
facility
deployment
04
Instrumentation for PAB impact testing
accelerometers, load cells, pressure sensors, high-speed cameras, and data acquisition systems.
Instrumentation
PAB
05
Occupant restraint system modeling
Hybrid III 5th percentile female, 50th percentile male, and THOR dummy positioning for PAB tests.
Occupant
restraint
06
PAB module design parameters
inflator output, cushion geometry, venting, tethering, and seam orientation effects on deployment.
PAB
parameters
07
CAE model development for PAB
airbag folding techniques, mesh generation, and initialization methods in LS-DYNA and PAM-CRASH.
CAE
development
08
Inflator modeling approaches
tank test characterization, mass flow rate curves, and gas temperature effects in CAE.
Inflator
modeling
09
Airbag fabric material modeling
orthotropic behavior, permeability, strain rate effects, and constitutive laws for cushion simulation.
material
modeling
10
Contact and coupling definitions
airbag-to-occupant, airbag-to-interior, and self-contact algorithms in explicit solvers.
coupling
definitions
11
Out-of-position (OOP) occupant simulation
static and dynamic OOP scenarios, injury criteria, and CAE challenges.
Out-of-position
OOP
12
PAB deployment kinematics
cushion unfolding, trajectory, and interaction with windshield and instrument panel.
PAB
deployment
13
Occupant injury criteria
HIC, chest deflection, neck injury, and femur loads in PAB impact assessment.
Occupant
criteria
14
Test-CAE correlation metrics
peak values, time histories, pulse shapes, and statistical correlation methods.
Test-CAE
correlation
15
Model validation and verification
mesh convergence, energy balance, and sensitivity analysis for PAB CAE models.
validation
verification
16
Inflator variability and aging effects
temperature extremes, inflator output scatter, and their impact on correlation.
Inflator
variability
17
Seat belt and PAB interaction
pretensioner, load limiter, and their combined effect on occupant kinematics.
PAB
interaction
18
PAB for different occupant sizes
small female, large male, and child occupants in various seating positions.
PAB
different
19
Advanced PAB concepts
dual-stage inflators, adaptive venting, and active vent control for optimized restraint.
Advanced
PAB
20
CAE correlation for OOP
comparing simulation and test results for head, neck, and chest injury metrics.
CAE
correlation
21
Full vehicle crash simulation with PAB
integration with body structure, steering column, and seat models.
simulation
PAB
22
Sled test correlation
deceleration pulse matching, boundary conditions, and occupant response comparison.
correlation
deceleration
23
PAB cushion pressure analysis
internal pressure measurement, CAE prediction, and correlation challenges.
PAB
pressure
24
Failure modes and robustness
seam rupture, fabric tearing, inflator malfunction, and their CAE representation.
robustness
inflator
25
Optimization of PAB performance
DOE, surrogate modeling, and multi-objective optimization for injury reduction.
Optimization
PAB
26
Regulatory compliance simulation
virtual testing for FMVSS 208 and Euro NCAP with correlated PAB models.
Regulatory
compliance
27
Case study
PAB correlation for a midsize sedan frontal impact – test setup, CAE model, and correlation results.
PAB
correlation
28
Case study
OOP correlation for a compact SUV – challenges in dummy positioning and airbag deployment.
OOP
correlation
29
Case study
PAB adaptive venting correlation – test vs. simulation for different occupant sizes.
PAB
adaptive
30
Future trends
machine learning for CAE correlation, real-time simulation, and integration with autonomous vehicle interiors.
CAE
correlation
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