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《LS-DYNA AI Dataset Preparation and Feature Engineering 100 Cases》
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LS-DYNA AI Dataset Preparation and Feature Engineering 100 Cases
100 Lessons
01
Audit LS-DYNA Keyword Deck for Dataset Readiness
02
Parse LS-DYNA Keyword Blocks into Structured Records
03
Extract Part and Material Metadata from a Crash Model
04
Normalize LS-DYNA Units Across Heterogeneous Decks
05
Build a Material Card Feature Table for ML Input
06
Encode Contact Definitions as Categorical Features
07
Extract Initial Velocity and Boundary Condition Features
08
Handle Include Files and Path Resolution in Deck Parsing
09
Deduplicate Repeated Keyword Entities Across Include Trees
10
Compute Mesh Quality Features from Nodal Coordinates
11
Derive Part Mass and Inertia Features from Geometry and Material
12
Extract Section Properties for Shell and Solid Parts
13
Build a Time-Step and Mass-Scaling Feature Set
14
Parse Curve Definitions into Sampled Feature Vectors
15
Link Material Curves to Material Cards by ID
16
Extract Element Connectivity Statistics per Part
17
Detect and Encode Rigid Body and Constrained Part Relations
18
Build a Part Adjacency Graph from Contact Definitions
19
Extract Coordinate System and Local Frame Features
20
Normalize Part Names and Identifiers for Dataset Keys
21
Build a Schema for LS-DYNA-Derived Tabular Datasets
22
Impute Missing Numeric Features with Domain-Aware Defaults
23
Encode Categorical Keyword Options with Stable Vocabularies
24
Scale and Clip Numeric Features for Model Training
25
Generate Physics-Informed Interaction Features
26
Aggregate Part-Level Features to Assembly-Level Rows
27
Build a Train/Validation/Test Split by Model Family
28
Detect Data Leakage from Shared Include Files
29
Profile Feature Distributions Across Model Sources
30
Validate Extracted Features Against LS-DYNA Runtime Output
31
Reconcile Part Mass Between Keyword Data and Output Files
32
Extract Energy and Time-Step Histories from glstat
33
Parse nodout and elout for Nodal and Element Histories
34
Build a Simulation Outcome Label Table from Output Files
35
Align Multiple LS-DYNA Runs into a Single Dataset
36
Extract Parameter Sweep Metadata from Run Directories
37
Build a Feature Store for Repeated LS-DYNA Model Families
38
Version Control Extracted Datasets with Content Hashing
39
Automate Dataset Regeneration on Deck Changes
40
Build a Data Quality Report for Extracted Features
41
Implement Schema Evolution for New Keyword Cards
42
Handle Optional and Conditional Keyword Cards Gracefully
43
Extract Spot Weld and Joint Features from Constrained Cards
44
Encode Airbag and Fluid Cavity Definitions as Features
45
Build Features from Initial Stress and Temperature Cards
46
Extract Load Curve and Time-History Function Features
47
Detect Unit Inconsistency Between Geometry and Material Cards
48
Build a Part-Level Feature Vector for Similarity Search
49
Cluster Parts by Engineering Function Using Extracted Features
50
Train a Baseline Classifier for Part Function Prediction
51
Evaluate Feature Importance for Material Model Selection
52
Build a Regression Target for Peak Acceleration from Output
53
Detect Anomalous Decks Using Feature Outlier Scores
54
Build a Rule-Based Validator for Common Deck Errors
55
Extract and Encode Hourglass Control Settings
56
Build Features from Damping and Viscosity Cards
57
Parse Adaptive and Remeshing Controls as Features
58
Extract Contact Thickness and Offset Features
59
Build a Feature for Element Formulation and Integration Order
60
Handle Node and Segment Set References in Feature Extraction
61
Compute Spatial Bounding Box Features per Part
62
Derive Part Location Features Relative to Vehicle Coordinate Frame
63
Build a Symmetry Feature from Part Geometry and Naming
64
Extract Material Strain-Rate Sensitivity Flags
65
Build Features from Failure and Damage Cards
66
Extract Thermal and Multiphysics Material Parameters
67
Build a Composite Layup Feature Representation
68
Encode Spot Weld Failure Parameters as Features
69
Build a Feature for Part Connectivity Through Shared Nodes
70
Extract Rigid Wall Definitions and Encode Geometry Features
71
Build Features from Gravity and Body Load Cards
72
Extract Output Request Settings as Dataset Features
73
Build a Label Availability Matrix from Output Requests
74
Handle Large Decks with Streaming Extraction
75
Parallelize Feature Extraction Across Model Batches
76
Build a Reproducible Extraction Environment
77
Implement Extraction Logging and Provenance Tracking
78
Build a Unit Test Suite for Keyword Parsers
79
Create Synthetic LS-DYNA Decks for Edge-Case Testing
80
Validate Feature Engineering with Property-Based Tests
81
Build a Regression Test for Dataset Schema Stability
82
Profile and Optimize the Extraction Hot Path
83
Handle Non-ASCII and Localized Part Titles
84
Extract and Encode Coordinate System References in Contacts
85
Build a Feature for Contact Penetration Risk from Thickness and Mesh
86
Extract Initial Penetration Checks from Output
87
Build a Model-Level Feature Summary for Similarity Search
88
Detect Duplicate or Near-Duplicate Models in a Corpus
89
Build a Feature Dictionary with Units and Descriptions
90
Implement a Data Card for Dataset Documentation
91
Audit Dataset for Bias from Model Source Overrepresentation
92
Build a Feature Selection Pipeline for High-Dimensional Extractions
93
Handle Multicollinearity in Physics-Derived Features
94
Build a Time-Step Stability Feature from Material and Mesh
95
Extract Mass Scaling Information and Encode as Features
96
Build a Feature for Element Distortion Risk from Initial Geometry
97
Extract and Encode Contact Friction Parameters
98
Build a Feature for Tied Contact Interface Strength
99
Implement Cross-Validation by Include-File Group
100
Build a Feature Drift Monitor Across Dataset Versions
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