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Test vs CAE Correlation and CORA Scorecard 30 Cases

30 Chapters

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Test-CAE Correlation Workflow Setup and Data Ingestion

Establish a reproducible correlation workflow by ingesting physical test time-history signals and CAE simulation results into a common time base, verifying channel mapping, units, and sampling consistency before any CORA scoring.

Test-CAECorrelation

Signal Preprocessing for Correlation: Filtering, Resampling, and Alignment

Apply and compare filtering, resampling, and time-alignment strategies to test and CAE signals, quantifying how preprocessing choices affect subsequent CORA metric values and correlation conclusions.

PreprocessingCorrelation

CORA Scorecard Configuration for a Single Load Case

Configure a CORA scorecard for one load case by selecting appropriate evaluation channels, corridor definitions, and weighting, then compute and interpret the overall score against a defined acceptance threshold.

Corridor-Based Magnitude and Phase Evaluation in CORA

Construct magnitude and phase corridors for a transient response and evaluate test-CAE agreement using CORA's corridor metrics, distinguishing systematic phase lag from amplitude scaling errors.

Corridor-BasedMagnitude

Cross-Correlation and Time-Lag Metric Implementation

Implement cross-correlation-based time-lag and shape similarity metrics for a pair of test and CAE signals, and compare the resulting lag estimates with CORA's built-in time-domain measures.

Cross-CorrelationTime-Lag

Frequency-Domain Correlation Using Spectral Metrics

Compute frequency-domain correlation metrics (e.g., spectral magnitude and phase agreement) for test and CAE responses, and integrate these metrics into a CORA-compatible scorecard for a vibration load case.

Frequency-DomainCorrelation

Multi-Channel Scorecard Aggregation and Weighting Study

Build a multi-channel CORA scorecard with channel-specific weights and aggregation rules, then perform a sensitivity study to show how weighting choices change the overall correlation rating.

Multi-ChannelScorecard

Objective Rating of Nonlinear CAE Responses Against Test

Evaluate a nonlinear CAE response (e.g., contact or large-deformation event) against test data using CORA metrics, focusing on metric robustness when signal features are non-stationary and non-Gaussian.

ObjectiveNonlinear

Correlation of Acceleration Signals with Varying Noise Levels

Assess how measurement noise and sensor artifacts in test acceleration signals influence CORA scores, and define noise-robust preprocessing and metric selection guidelines for correlation reporting.

CorrelationAcceleration

Test-CAE Correlation for a Crash Pulse

Correlate a crash pulse (acceleration-time history) from test and CAE, applying CORA's pulse-specific metrics and interpreting scorecard results in the context of occupant safety assessment.

Test-CAECorrelation

Correlation of Modal Parameters from Test and CAE

Extract modal frequencies and damping from test and CAE data, then correlate them using CORA's modal metrics and document the scorecard for a structural dynamics load case.

CorrelationParameters

Scorecard Automation with a Scripted CORA Pipeline

Automate the CORA scoring process for a batch of load cases using a scripted pipeline, including data discovery, scorecard generation, and result aggregation into a summary report.

ScorecardAutomation

Uncertainty Quantification in CORA Scores Due to Test Variability

Quantify the variability of CORA scores by propagating test repeatability data through the scorecard, and establish confidence intervals for correlation acceptance decisions.

UncertaintyQuantification

Correlation of Strain Gauge Data with CAE Strain Results

Correlate test strain gauge measurements with CAE strain predictions using CORA, addressing strain-specific preprocessing (e.g., rosette transformation) and evaluating local vs. global strain agreement.

Scorecard Design for Multi-Axis Vibration Test vs CAE

Design a CORA scorecard for multi-axis vibration test data and CAE simulation, including axis-specific channels and cross-axis coherence metrics, and validate the scorecard against a known-good correlation case.

ScorecardMulti-Axis

Correlation of Force-Displacement Curves from Component Tests

Apply CORA to force-displacement curves from component tests and CAE, focusing on curve-shape metrics and energy-based comparison, and interpret the scorecard for component validation.

CorrelationForce-Displacement

Time-Frequency Correlation Using Wavelet-Based Metrics

Implement a time-frequency correlation metric using wavelet transforms for test and CAE signals, and compare its sensitivity to transient events with CORA's standard time-domain metrics.

Time-FrequencyCorrelation

Correlation of Acoustic Pressure Signals

Correlate acoustic pressure time histories from test and CAE using CORA, addressing frequency weighting and octave-band analysis, and produce a scorecard suitable for NVH correlation.

CorrelationAcoustic

Scorecard Calibration Against Expert Judgment

Calibrate CORA scorecard thresholds and weights using expert correlation judgments on a set of load cases, and evaluate the agreement between scorecard rankings and expert rankings.

ScorecardCalibration

Correlation of Temperature-Dependent Material Response

Correlate test and CAE responses for a temperature-dependent material test, incorporating temperature as a channel and evaluating CORA scores across multiple temperature levels to assess model fidelity.

CorrelationTemperature-Dependent

Handling Missing or Sparse Test Data in CORA

Develop a strategy for CORA scoring when test data are missing or sparsely sampled, including interpolation, channel exclusion, and scorecard adjustment, and quantify the impact on overall correlation rating.

Correlation of Rotational Signals from Test and CAE

Correlate rotational velocity and acceleration signals from test and CAE using CORA, addressing integration/differentiation preprocessing and evaluating phase and magnitude agreement for rotating components.

CorrelationRotational

Scorecard for Durability Load Cases: Time-at-Level and Damage Metrics

Extend CORA scorecard to durability load cases by incorporating time-at-level and damage-equivalent metrics, and compare the resulting correlation rating with standard time-history metrics.

ScorecardDurability

Correlation of Contact Force Histories in Impact Simulations

Correlate contact force histories from impact test and CAE using CORA, focusing on peak force, impulse, and pulse duration metrics, and interpret the scorecard for impact model validation.

CorrelationHistories

Automated Outlier Detection in Correlation Scorecards

Implement an automated outlier detection method for CORA scorecards across a fleet of load cases, flagging anomalous correlation results and supporting root-cause investigation.

AutomatedDetection

Correlation of Multi-Body Dynamics Simulation with Test

Correlate multi-body dynamics simulation results with test data using CORA, addressing rigid-body vs. flexible-body contributions and evaluating scorecard sensitivity to model parameter variations.

CorrelationMulti-Body

Scorecard Reporting and Visualization for Stakeholders

Create a stakeholder-ready correlation report that summarizes CORA scorecards with appropriate visualizations (e.g., corridor plots, bar charts, heatmaps) and highlights critical mismatches for decision-making.

ScorecardReporting

Cross-Validation of CORA Metrics Against Alternative Correlation Measures

Compare CORA metrics with alternative correlation measures (e.g., MAC, FRAC, RMS error) on a set of load cases, and analyze cases where the metrics disagree to understand their respective strengths and limitations.

Cross-ValidationCORA

Correlation of Vehicle-Level Road Load Data

Apply CORA to vehicle-level road load data (e.g., wheel force transducers, accelerometers) from test and full-vehicle CAE, designing a scorecard that accounts for road profile variability and channel correlation.

CorrelationVehicle-Level

Continuous Integration of CORA Scorecards in CAE Verification

Integrate CORA scorecard computation into a continuous integration pipeline for CAE verification, including automated pass/fail gates, trend tracking, and regression detection across simulation builds.

ContinuousIntegration