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Automated Crash CAE Model Checking and Quality Control

30 Chapters
View Course Samples Online
01
Course overview
scope, objectives, and the role of automated model checking in crash CAE quality control.
objectivesautomated
02
Crash CAE model anatomy
key components, data structures, and common file formats (e.g., LS-DYNA, PAM-CRASH, Radioss).
CAEcomponents
03
Quality control challenges in crash simulation
sources of errors, model inconsistencies, and their impact on results.
challengessimulation
04
Introduction to automated checking
rule-based vs. data-driven approaches, and integration into CAE workflows.
automatedchecking
05
Model setup verification
units, coordinate systems, and material property consistency checks.
verificationcoordinate
06
Mesh quality metrics and automated thresholds for crashworthiness models.
Mesh quality metrics and automated thresholds for crashworthiness models.
automatedthresholds
07
Connectivity and assembly checks
spot welds, adhesives, bolts, and contact definitions.
Connectivityassembly
08
Contact interface validation
penetration, thickness, friction, and stability checks.
interfacevalidation
09
Material model validation
strain rate, failure criteria, and curve consistency.
Materialvalidation
10
Boundary condition and initial velocity verification for crash load cases.
Boundary condition and initial velocity verification for crash load cases.
Boundarycondition
11
Rigid wall and barrier definitions
geometry, orientation, and friction checks.
definitionsgeometry
12
Airbag and seatbelt model checks
folding, sensor, and pretensioner definitions.
seatbeltpretensioner
13
Dummy and occupant model positioning
H-point, belt routing, and contact checks.
occupantpositioning
14
Output request validation
energy, acceleration, intrusion, and injury criteria.
validationacceleration
15
Time step and mass scaling checks
stability and accuracy trade-offs.
stabilityaccuracy
16
Initial penetration and interference detection in assembled models.
Initial penetration and interference detection in assembled models.
penetrationinterference
17
Automated detection of duplicate and orphan entities (nodes, elements, parts).
Automated detection of duplicate and orphan entities (nodes, elements, parts).
Automateddetection
18
Cross-checking model against design data
CAD vs. CAE geometry and mass.
Cross-checkingCAD
19
Version control and change tracking for crash CAE models.
Version control and change tracking for crash CAE models.
trackingCAE
20
Scripting and automation frameworks
Python, Tcl, and CAE APIs for batch checking.
Scriptingautomation
21
Building a rule library
encoding best practices and OEM requirements.
Buildingencoding
22
Reporting and visualization of check results
dashboards, heatmaps, and logs.
Reportingvisualization
23
Integration with simulation data management (SDM) and PLM systems.
Integration with simulation data management (SDM) and PLM systems.
Integrationsimulation
24
Case study
automated pre-processing check for a full vehicle frontal impact model.
automatedpre-processing
25
Case study
side impact model quality control and occupant restraint checks.
occupantrestraint
26
Case study
pedestrian protection model validation and automated reporting.
pedestrianprotection
27
Machine learning for anomaly detection in crash CAE models.
Machine learning for anomaly detection in crash CAE models.
detectionCAE
28
Performance optimization
parallel checking, incremental validation, and cloud execution.
Performanceoptimization
29
Best practices for deploying automated checking in production CAE teams.
Best practices for deploying automated checking in production CAE teams.
practicesdeploying
30
Future trends
real-time checking, digital twins, and AI-assisted model correction.
real-timechecking