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Material and Joint Data Pedigree for Crash Model Credibility

30 Chapters
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01
Course overview
scope, concepts, and technical context of material and joint data pedigree for crash model credibility.
technicalmaterial
02
Data pedigree fundamentals
definitions, metadata, provenance, and lineage in the context of crashworthiness simulation.
pedigreedefinitions
03
Material characterization for crash models
test methods, data acquisition, and pedigree requirements for metals and composites.
Materialcharacterization
04
Joint characterization for crash models
spot welds, adhesive bonds, bolted joints, and their data pedigree needs.
characterizationadhesive
05
Metadata schema design
capturing test conditions, specimen geometry, calibration parameters, and uncertainty for material and joint data.
Metadatacapturing
06
Provenance tracking in material testing
from raw sensor data to calibrated material cards, including version control and audit trails.
Provenancetracking
07
Data quality and uncertainty quantification
statistical treatment of material and joint test data for model credibility.
uncertaintyquantification
08
Pedigree for material models
linking constitutive parameters to experimental evidence and calibration history.
Pedigreematerial
09
Pedigree for joint models
connecting failure criteria and cohesive parameters to test data and manufacturing records.
Pedigreeconnecting
10
Database and repository design
structuring material and joint data with pedigree for collaborative crash simulation.
Databaserepository
11
Workflow integration
embedding pedigree capture into CAE pipelines for material and joint model development.
Workflowintegration
12
Case study
building a pedigree for a steel material card used in full vehicle crash simulation.
buildingpedigree
13
Case study
pedigree for a structural adhesive joint in a battery enclosure crash model.
pedigreestructural
14
Verification and validation (V&V) with pedigree
using data lineage to support credibility assessment per ASME V&V 10 and 40.
Verificationvalidation
15
Regulatory and standards context
material and joint data pedigree requirements in automotive crash safety (FMVSS, Euro NCAP, etc.).
Regulatorystandards
16
Pedigree for manufacturing variability
linking process parameters to material and joint properties in crash models.
Pedigreemanufacturing
17
Data pedigree for strain-rate-dependent materials
capturing high-speed test data and rate-dependent calibration.
pedigreestrain-rate-dependent
18
Pedigree for failure and fracture models
linking failure strain data and fracture locus calibration to test evidence.
Pedigreefracture
19
Machine learning and data-driven material models
pedigree challenges for AI-based constitutive and joint models.
data-drivenmaterial
20
Pedigree visualization and reporting
tools and techniques for communicating data lineage to decision-makers.
Pedigreevisualization
21
Practical exercise
designing a pedigree template for a material test campaign (e.g., tensile, shear, crush).
exercisedesigning
22
Practical exercise
implementing a provenance capture tool for joint test data using open-source tools.
exerciseimplementing
23
Practical exercise
auditing an existing material card for pedigree completeness and identifying gaps.
exerciseauditing
24
Practical exercise
creating a pedigree-linked validation matrix for a crash model subsystem.
exercisecreating
25
Data governance and access control
ensuring integrity and traceability of material and joint data across organizations.
governanceensuring
26
Long-term preservation and reuse
archiving material and joint data pedigrees for future vehicle programs.
Long-termpreservation
27
Integration with systems engineering
linking material and joint pedigree to requirements and model-based systems engineering (MBSE).
Integrationmaterial
28
Pedigree for multi-scale material modeling
from micro-mechanics to crash simulation, capturing scale-bridging data.
Pedigreemulti-scale
29
Emerging trends
digital twins, blockchain for data provenance, and standardized pedigree formats in automotive crashworthiness.
Emergingblockchain
30
Capstone project
develop a complete data pedigree for a selected material and joint set, and demonstrate its use in a credibility assessment of a crash model.
Capstonecomplete