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CAE Injury Time-History Analysis and Curve Overlay 30 Cases

30 Chapters

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Import and Standardize Injury Time-History Data

Load head acceleration and chest deflection time histories from multiple CAE solvers into a unified data structure, normalize units and time bases, and verify sampling consistency before overlay.

StandardizeTime-History

Compute HIC15 from Acceleration Time History

Implement the Head Injury Criterion (HIC15) calculation directly from a resultant acceleration curve, including the sliding window search and peak identification, and validate against a reference value.

HIC15Acceleration

Compute 3 ms Chest Acceleration Criterion

Calculate the 3 ms chest acceleration clip criterion from a filtered acceleration time history, applying the correct CFC filter and identifying the maximum interval exceeding the threshold.

AccelerationCriterion

Apply CFC Filtering to Injury Curves

Implement SAE J211 CFC 180 and CFC 600 digital filters on acceleration and force time histories, compare filtered versus unfiltered peaks, and document the effect on injury metric values.

Overlay Multiple Head Acceleration Curves

Create a multi-curve overlay of head resultant acceleration from different impact simulations, align time zero, and annotate peak values and pulse durations for visual comparison.

MultipleAcceleration

Align and Overlay Curves with Time Shifting

Develop a time-alignment routine that shifts curves based on cross-correlation or event onset detection, then overlay aligned curves to compare pulse shapes independent of trigger timing.

Shiftingtime-alignment

Normalize and Overlay Curves by Impact Severity

Normalize injury time histories by a severity parameter (e.g., delta-v or peak acceleration) and overlay normalized curves to assess shape consistency across different impact levels.

NormalizeSeverity

Compute NIC and NIJ from Neck Force/Moment Histories

Calculate Neck Injury Criterion (NIC) and Neck Injury Index (NIJ) from neck force and moment time histories, including interpolation to the required time step and identification of critical time windows.

Compute Chest Deflection and Viscous Criterion

Derive chest deflection rate from deflection time history and compute the viscous criterion (VC) using the product of deflection and velocity, then overlay VC curves for multiple load cases.

DeflectionCriterion

Overlay Injury Curves with Different Sampling Rates

Resample time histories from different CAE outputs to a common time step using interpolation, then overlay the resampled curves and quantify interpolation error at peaks.

DifferentSampling

Batch Process and Overlay Curves from Multiple Simulations

Automate the extraction of injury time histories from a directory of simulation result files, compute key metrics, and generate overlay plots for all cases in a batch.

MultipleSimulations

Identify Injury Metric Peaks and Time of Occurrence

Implement a robust peak detection algorithm for injury time histories that handles noise and multiple local maxima, and report peak value and time for each curve in an overlay set.

IdentifyOccurrence

Compare Injury Curves Using Statistical Envelopes

Compute mean and standard deviation envelopes for a set of injury time histories and overlay individual curves with the envelope to assess variability across simulations.

StatisticalEnvelopes

Overlay Curves from Different Body Regions

Extract and overlay injury time histories from head, chest, and pelvis outputs in the same plot with appropriate scaling and legends, ensuring clear comparison without distortion.

Differenthistories

Create a GUI for Interactive Curve Overlay

Build a simple graphical interface that allows users to load injury time-history files, select curves for overlay, and adjust plot settings such as axis limits and line styles.

Export Overlay Plots for Reporting

Generate publication-quality overlay plots with consistent formatting, export them to image and vector formats, and include metadata such as case name and metric values in the figure.

ReportingGenerate

Validate Overlay Results Against Reference Data

Compare overlaid curves from a new simulation set against a reference dataset, compute correlation and peak differences, and flag discrepancies that exceed tolerance.

ValidateReference

Handle Missing and Noisy Data in Injury Curves

Detect and repair gaps or spikes in injury time histories using interpolation and outlier removal, then overlay cleaned curves with original data to verify correction effectiveness.

historiesinterpolation

Compute and Overlay Cumulative Strain Damage Measure (CSDM)

Calculate CSDM from brain strain time histories using a threshold-based accumulation method, and overlay CSDM curves for multiple impact scenarios to compare injury risk progression.

Overlay Curves with Different Initial Conditions

Overlay injury time histories from simulations with varying initial velocities or boundary conditions, and analyze how the curve shape and peak timing shift with initial conditions.

DifferentConditions

Generate a Dashboard for Injury Metric Comparison

Create a dashboard that displays overlaid injury curves alongside a table of computed metrics (HIC, 3 ms, NIC, etc.) for a set of simulations, enabling quick visual and numerical comparison.

GenerateDashboard

Overlay Curves from Physical Tests and Simulations

Load experimental sled test data and corresponding CAE simulation outputs, overlay the injury time histories, and compute correlation metrics to assess model fidelity.

PhysicalSimulations

Automate Overlay Generation for Design of Experiments

Process a matrix of simulation runs from a DOE study, automatically generate overlay plots grouped by factor levels, and save the plots with systematic naming for later review.

AutomateGeneration

Compute and Overlay Head Rotation Injury Metrics

Calculate rotational injury metrics such as BrIC or DAMAGE from angular velocity time histories, and overlay the resulting metric curves for different impact directions.

RotationCalculate

Overlay Curves with Confidence Intervals

Compute bootstrap confidence intervals for injury time histories from repeated simulations, and overlay the mean curve with shaded confidence bands to communicate uncertainty.

ConfidenceIntervals

Detect and Annotate Events in Overlaid Curves

Implement event detection logic to identify key events (e.g., peak, rebound, contact) in injury time histories, and annotate these events on an overlay plot for multiple curves.

AnnotateOverlaid

Overlay Curves Using Different Filtering Standards

Apply multiple filtering standards (e.g., CFC 180, CFC 600, Butterworth) to the same raw acceleration data, overlay the filtered results, and compare the effect on injury metric values.

DifferentFiltering

Create a Reusable Overlay Function for Injury Analysis

Develop a modular function that takes a list of time-history datasets and plot specifications, generates an overlay plot, and returns the figure handle for further customization.

ReusableFunction

Overlay Curves from Different Impact Locations

Extract injury time histories from simulations with impacts at various locations (e.g., frontal, side, rear), overlay them, and analyze differences in pulse shape and injury metric values.

DifferentLocations

Integrate Overlay Analysis into a CAE Post-Processing Workflow

Build a script that automatically extracts injury time histories from solver output files, computes key metrics, generates overlay plots, and exports a summary report, demonstrating end-to-end automation.

IntegrateAnalysis