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001-LS-DYNA Automotive Crash Simulation Engineering
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《LS-DYNA Vehicle Body-in-White Crashworthiness Optimization》
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LS-DYNA Vehicle Body-in-White Crashworthiness Optimization
30 Chapters
View Course Samples Online
01
Vehicle body-in-white crashworthiness optimization
course scope, engineering objectives, and LS-DYNA workflow overview.
body-in-white
crashworthiness
02
BIW structural architecture and crash energy management
load paths, crumple zones, occupant safety requirements, and design constraints.
BIW
structural
03
LS-DYNA explicit dynamics fundamentals for crash simulation
time integration, contact algorithms, hourglass control, and stability.
LS-DYNA
explicit
04
Material modeling for BIW crashworthiness
elastic-plastic metals, strain rate effects, failure criteria, and spot weld modeling.
Material
modeling
05
Building a full-vehicle frontal impact model
geometry preparation, meshing strategies, connections, and boundary conditions.
Building
full-vehicle
06
Side impact and pole crash model setup
barrier positioning, initial velocity, and BIW-specific contact definitions.
positioning
velocity
07
Rear impact and roof crush simulation
load cases, regulatory requirements, and LS-DYNA keyword setup.
simulation
regulatory
08
Model validation against physical crash tests
correlation metrics, sensor placement, and iterative model updating.
validation
physical
09
Intrusion and occupant injury criteria
BIW deformation metrics, intrusion measurements, and safety target definition.
Intrusion
occupant
10
Design of experiments for BIW crashworthiness
parameter selection, DOE methods, and LS-DYNA batch run automation.
experiments
BIW
11
Sensitivity analysis of BIW parameters
gauge thickness, material grade, bead geometry, and joint stiffness effects.
Sensitivity
analysis
12
Metamodeling techniques for crash simulation
response surface, Kriging, and neural network surrogate construction.
Metamodeling
techniques
13
Single-objective optimization of BIW crash performance
mass minimization with intrusion constraints using LS-OPT.
Single-objective
optimization
14
Multi-objective optimization for crashworthiness and weight
Pareto front generation and trade-off analysis.
Multi-objective
optimization
15
Topology and topography optimization for BIW load paths
SIMP method and LS-DYNA-based structural synthesis.
Topology
topography
16
Shape and size optimization of BIW components
bead design, rib placement, and thickness distribution.
optimization
BIW
17
Multi-disciplinary optimization integrating crash, NVH, and stiffness
coupled LS-DYNA and optimization workflows.
Multi-disciplinary
optimization
18
Robust design and reliability-based optimization under crash uncertainties
material scatter, manufacturing tolerances.
reliability-based
optimization
19
Advanced high-strength steel and aluminum BIW optimization
material selection, forming effects, and joining methods.
Advanced
high-strength
20
Composite and hybrid material BIW crashworthiness
LS-DYNA material models, failure prediction, and optimization.
Composite
material
21
Spot weld and adhesive joint optimization for crash integrity
failure modeling and joint layout design.
adhesive
optimization
22
Battery electric vehicle BIW crashworthiness
battery pack protection, floor structure, and side pole impact.
electric
BIW
23
Pedestrian protection and low-speed damageability
BIW front-end design and LS-DYNA simulation for regulation.
Pedestrian
protection
24
Occupant restraint system interaction with BIW
sled tests, airbag timing, and structural coupling effects.
Occupant
restraint
25
High-performance computing for LS-DYNA crash optimization
parallelization, MPP, and cloud-based DOE runs.
High-performance
computing
26
Automated post-processing and data extraction for optimization
LS-DYNA d3plot, binout, and Python scripting.
Automated
post-processing
27
Machine learning accelerated crashworthiness optimization
surrogate-assisted evolutionary algorithms and active learning.
accelerated
crashworthiness
28
Case study
full frontal impact BIW optimization for mass reduction and intrusion control.
BIW
optimization
29
Case study
side impact BIW optimization with multi-objective Pareto and robust design.
BIW
optimization
30
Future trends in BIW crashworthiness optimization
digital twin, real-time simulation, and generative design.
BIW
crashworthiness
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