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Surrogate Modeling and Uncertainty Quantification for Occupant CAE

30 Chapters
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01
Occupant CAE workflow and surrogate modeling context
crashworthiness simulation, occupant safety metrics, and the role of surrogates in design loops.
OccupantCAE
02
Uncertainty sources in occupant CAE
material variability, geometry tolerances, loading conditions, and model form uncertainty.
Uncertaintyoccupant
03
Design of experiments for occupant safety simulations
space-filling designs, Latin hypercube sampling, and constraint-aware sampling.
experimentsoccupant
04
Simulation data management for surrogate training
run matrices, metadata, and quality checks for occupant CAE outputs.
Simulationmanagement
05
Response surface methodology for occupant injury criteria
polynomial regression, stepwise selection, and validation metrics.
Responsemethodology
06
Gaussian process regression for crash surrogate modeling
kernels, hyperparameter estimation, and predictive uncertainty.
Gaussianregression
07
Support vector regression and relevance vector machines for occupant response prediction
formulation and tuning.
regressionrelevance
08
Neural network surrogates for occupant CAE
multilayer perceptrons, training strategies, and overfitting control.
surrogatesoccupant
09
Advanced surrogate architectures
radial basis functions, multivariate adaptive regression splines, and ensemble methods.
Advancedsurrogate
10
Feature engineering and dimensionality reduction for occupant CAE inputs
PCA, active subspaces, and sensitivity screening.
dimensionalityreduction
11
Surrogate model validation and verification
cross-validation, holdout testing, and error metrics for injury criteria.
Surrogatevalidation
12
Uncertainty propagation through occupant CAE surrogates
Monte Carlo, Latin hypercube, and quasi-Monte Carlo sampling.
Uncertaintypropagation
13
Polynomial chaos expansion for occupant response uncertainty
basis selection, coefficient estimation, and spectral convergence.
Polynomialexpansion
14
Global sensitivity analysis for occupant safety
Sobol indices, variance-based methods, and surrogate-enabled computation.
sensitivityanalysis
15
Reliability analysis of occupant protection systems
first-order and second-order reliability methods with surrogates.
Reliabilityanalysis
16
Surrogate-based optimization for occupant restraint systems
constrained optimization, multi-objective trade-offs, and Pareto fronts.
Surrogate-basedoptimization
17
Robust design and reliability-based design optimization for occupant safety
accounting for uncertainty in design decisions.
reliability-basedoptimization
18
Bayesian calibration of occupant CAE models
prior elicitation, likelihood construction, and posterior inference.
Bayesiancalibration
19
Model discrepancy and bias correction in occupant simulations
Gaussian process model calibration and prediction.
discrepancycorrection
20
Multi-fidelity surrogate modeling for occupant CAE
combining low- and high-fidelity crash simulations.
Multi-fidelitysurrogate
21
Surrogate modeling for time-dependent occupant responses
time-series surrogates and functional data approaches.
Surrogatemodeling
22
Surrogate modeling for field outputs in occupant CAE
proper orthogonal decomposition and reduced-order models.
Surrogatemodeling
23
Active learning and adaptive sampling for efficient surrogate construction in occupant safety.
Active learning and adaptive sampling for efficient surrogate construction in occupant safety.
adaptivesampling
24
Surrogate model uncertainty quantification
confidence intervals, prediction intervals, and Bayesian model averaging.
Surrogateuncertainty
25
Case study
surrogate-assisted uncertainty quantification for frontal impact occupant injury risk.
surrogate-assisteduncertainty
26
Case study
reliability-based design of side impact countermeasures using surrogate models.
reliability-basedcountermeasures
27
Case study
robust optimization of restraint system parameters under material and loading uncertainty.
optimizationrestraint
28
Case study
Bayesian calibration of a occupant CAE model using test data and surrogate acceleration.
Bayesiancalibration
29
Integration of surrogate models into occupant CAE workflows
automation, version control, and deployment.
Integrationsurrogate
30
Emerging trends and future directions
machine learning surrogates, digital twins, and real-time occupant safety assessment.
Emergingdirections