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Python Seatbelt Force and Restraint Performance Analysis

30 Chapters
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01
Course overview
scope, concepts, and technical context of seatbelt force and restraint performance analysis using Python.
technicalseatbelt
02
Fundamentals of occupant kinematics and restraint system mechanics
belt geometry, load paths, and force-time histories.
occupantkinematics
03
Regulatory and consumer test protocols
FMVSS 208, ECE R94/R16, Euro NCAP, and their data requirements.
Regulatoryconsumer
04
Sensor and measurement systems for seatbelt force
load cells, belt tension sensors, accelerometers, and data acquisition.
measurementseatbelt
05
Python environment setup for automotive safety analysis
NumPy, SciPy, pandas, Matplotlib, and Jupyter notebooks.
environmentautomotive
06
Ingesting and cleaning seatbelt force and occupant response data from test files (CSV, TDMS, MDF4).
Ingesting and cleaning seatbelt force and occupant response data from test files (CSV, TDMS, MDF4).
Ingestingcleaning
07
Time-series preprocessing
filtering, resampling, synchronization, and offset correction for belt force signals.
Time-seriespreprocessing
08
Exploratory data analysis of belt force profiles
peak force, rise time, duration, and impulse metrics.
Exploratoryanalysis
09
Visualizing restraint performance
force-displacement curves, belt pay-out, and occupant trajectory plots.
Visualizingrestraint
10
Calculating injury criteria (HIC, chest deflection, Nij) from accelerometer and load cell data in Python.
Calculating injury criteria (HIC, chest deflection, Nij) from accelerometer and load cell data in Python.
Calculatingcriteria
11
Modeling seatbelt force as a function of occupant mass, crash pulse, and belt stiffness using regression.
Modeling seatbelt force as a function of occupant mass, crash pulse, and belt stiffness using regression.
Modelingseatbelt
12
Signal processing for belt force limiting and pretensioner activation
event detection and timing analysis.
processinglimiting
13
Comparative analysis of belt force across different restraint configurations (pretensioner, load limiter, airbag).
Comparative analysis of belt force across different restraint configurations (pretensioner, load limiter, airbag).
Comparativeanalysis
14
Statistical methods for restraint performance
hypothesis testing, ANOVA, and confidence intervals on force metrics.
Statisticalrestraint
15
Building a Python pipeline for batch processing multiple crash test datasets.
Building a Python pipeline for batch processing multiple crash test datasets.
Buildingpipeline
16
Automating report generation with Python
tables, figures, and summary statistics for restraint performance.
Automatinggeneration
17
Case study
analyzing a frontal rigid barrier test with driver-side seatbelt force data.
analyzingdriver-side
18
Case study
evaluating passenger-side restraint performance in a 40% offset deformable barrier test.
evaluatingpassenger-side
19
Case study
rear-seat occupant restraint and belt force analysis in a pole impact scenario.
rear-seatoccupant
20
Case study
belt force limiting and its effect on chest deflection in a small overlap crash.
limitingdeflection
21
Case study
pretensioner and load limiter interaction from sled test data.
pretensionerinteraction
22
Case study
child restraint system (CRS) belt force analysis and comparison with adult restraint.
restraintCRS
23
Case study
out-of-position occupant and belt force variability using Python simulation.
out-of-positionoccupant
24
Case study
belt force analysis for a side impact with seat-mounted restraints.
analysisseat-mounted
25
Case study
rollover restraint performance and belt force time history interpretation.
rolloverrestraint
26
Case study
electric vehicle battery mass effects on seatbelt force and restraint tuning.
electricseatbelt
27
Case study
autonomous driving seat configurations and alternative belt geometries.
autonomousconfigurations
28
Case study
fleet data analysis of real-world crash events using event data recorders (EDR).
analysisreal-world
29
Case study
sensitivity analysis of belt force to occupant size, posture, and belt anchorage locations.
sensitivityanalysis
30
Capstone project
end-to-end Python analysis of a multi-test restraint performance dataset with engineering recommendations.
Capstoneend-to-end