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LS-DYNA Pedestrian Head and Leg Impact Simulation

30 Chapters
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01
Pedestrian protection simulation in LS-DYNA
regulatory landscape, injury criteria, and role of explicit FE analysis.
Pedestrianprotection
02
Head impact simulation workflow
from vehicle geometry to headform model setup and impact point definition.
simulationworkflow
03
Leg impact simulation workflow
lower legform and upper legform models, impact conditions, and output metrics.
simulationworkflow
04
LS-DYNA keyword structure for pedestrian impact
*CONTROL, *DATABASE, and *CONSTRAINED keywords relevant to head and leg models.
LS-DYNAstructure
05
Material modeling for head impact
skull, scalp, and brain surrogates; elastic, viscoelastic, and failure models.
Materialmodeling
06
Material modeling for leg impact
long bones, knee ligaments, and flesh; plastic, elastic, and damage models.
Materialmodeling
07
Headform model validation
calibration against drop tests and correlation with experimental acceleration and HIC.
Headformvalidation
08
Legform model validation
static and dynamic bending tests, ligament response, and correlation with shear and bending moments.
validationligament
09
Vehicle front-end modeling for pedestrian impact
geometry preparation, mesh quality, and connection strategies.
front-endmodeling
10
Contact definition for head-to-hood and leg-to-bumper impacts
*CONTACT_AUTOMATIC_SURFACE_TO_SURFACE and *CONTACT_FORCE_TRANSDUCER.
definitionhead-to-hood
11
Impact velocity and orientation setup
wrap-around distance, impact angles, and initial conditions for head and leg models.
velocityorientation
12
Boundary conditions and constraints
rigid walls, prescribed motion, and initial velocity application in LS-DYNA.
Boundaryconditions
13
Hourglass control and energy balance in pedestrian impact simulations
*HOURGLASS and *ENERGY.
Hourglasspedestrian
14
Time step control and mass scaling for efficient explicit simulations of head and leg impacts.
Time step control and mass scaling for efficient explicit simulations of head and leg impacts.
efficientexplicit
15
Output request strategies
*DATABASE_BINARY_D3PLOT, *DATABASE_HISTORY_NODE, and *DATABASE_ASCII for injury metrics.
strategiesDATABASE
16
Head injury criteria computation in LS-DYNA
HIC, HIC15, HIC36, and rotational injury metrics from simulation results.
criteriacomputation
17
Leg injury criteria computation
tibia index, knee shear displacement, and bending moment extraction from LS-DYNA output.
criteriacomputation
18
Post-processing head impact results
contour plots, acceleration-time histories, and HIC calculation using LS-PrePost.
Post-processingacceleration-time
19
Post-processing leg impact results
force-displacement curves, ligament elongation, and injury risk assessment.
Post-processingforce-displacement
20
Parametric study of head impact location
hood stiffness, inner panel design, and effect on HIC.
Parametriclocation
21
Parametric study of leg impact location
bumper stiffness, energy absorber design, and effect on leg injury metrics.
Parametriclocation
22
Design optimization for pedestrian protection
using LS-DYNA DOE and optimization tools to reduce injury risk.
optimizationpedestrian
23
Modeling active hood systems and deployable pedestrian protection devices in LS-DYNA.
Modeling active hood systems and deployable pedestrian protection devices in LS-DYNA.
Modelingdeployable
24
Simulation of head impact on windshield and A-pillar
material models, failure, and injury prediction.
Simulationwindshield
25
Simulation of leg impact with bumper and spoiler
contact interactions and energy absorption mechanisms.
Simulationinteractions
26
Verification and validation of pedestrian impact models
grid convergence, experimental correlation, and uncertainty quantification.
Verificationvalidation
27
Advanced material models for pedestrian impact
strain-rate effects, failure criteria, and composite materials.
Advancedmaterial
28
Coupling LS-DYNA with other solvers for pedestrian impact
co-simulation with multibody and CFD for wind effects.
CouplingLS-DYNA
29
Automation and scripting for pedestrian impact simulations
Python scripting, batch runs, and result extraction.
Automationscripting
30
Case study
full vehicle pedestrian head and leg impact simulation, result interpretation, and design recommendations.
pedestriansimulation