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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 data and CAE simulation results into a common time base, verifying channel alignment, units, and sampling consistency before any CORA evaluation.

Test-CAECorrelation

Signal Preprocessing for Correlation: Filtering and Resampling

Apply appropriate low-pass filtering and resampling to both test and CAE signals to remove noise and align sampling rates, then quantify the effect of preprocessing choices on subsequent CORA metrics.

PreprocessingCorrelation

Time Synchronization and Lag Correction Between Test and CAE

Detect and correct time lags between test and simulation responses using cross-correlation, and evaluate how residual synchronization errors influence CORA scorecard outcomes.

SynchronizationCorrection

Amplitude Scaling and Offset Correction for Correlation

Identify and correct amplitude scaling and DC offset mismatches between test and CAE signals, documenting the correction rationale and its impact on correlation metrics.

AmplitudeCorrection

CORA Scorecard Configuration for a Single Channel

Configure a CORA scorecard for a single response channel by selecting appropriate evaluation intervals, weighting factors, and metric parameters, then compute and interpret the resulting score.

Multi-Channel CORA Scorecard Aggregation

Extend the CORA scorecard to multiple channels by defining channel-specific weights and aggregation rules, and analyze how aggregation choices affect the overall correlation rating.

Multi-ChannelCORA

Corridor Metric Evaluation and Sensitivity Study

Implement the CORA corridor metric for a given signal pair and perform a sensitivity study on corridor width and tolerance parameters to understand their influence on pass/fail decisions.

CorridorEvaluation

Cross-Correlation Metric Implementation and Interpretation

Compute the CORA cross-correlation metric for phase-shifted signals and interpret the resulting score in the context of physical event timing differences between test and CAE.

Cross-CorrelationImplementation

Magnitude and Phase Metric Combination in CORA

Combine magnitude and phase metrics within the CORA framework for frequency-domain responses, and evaluate how weighting between these metrics affects the overall correlation assessment.

MagnitudeCombination

Handling Missing or Invalid Data in CORA Evaluation

Develop a strategy for handling missing, clipped, or invalid data segments in test and CAE signals, ensuring CORA scores are computed only on valid intervals and documenting data quality impacts.

CORA Scorecard for Acceleration Response in Crash Simulation

Apply the CORA scorecard to acceleration time histories from a crash simulation, focusing on pulse duration and peak amplitude correlation, and interpret the score in the context of occupant safety assessment.

CORA Evaluation of Force-Displacement Curves

Evaluate force-displacement curves from a component test and CAE simulation using CORA metrics, with emphasis on energy absorption and initial stiffness correlation.

Correlation of Strain Gauge Measurements with CAE Strain Results

Correlate strain gauge time histories with CAE-predicted strains at corresponding locations, addressing gauge factor calibration and local coordinate alignment before CORA scoring.

CorrelationMeasurements

Modal Correlation: Frequency and Damping Comparison

Compare modal frequencies and damping ratios extracted from test and CAE modal analysis, and incorporate these scalar quantities into a CORA scorecard for overall modal correlation.

CorrelationFrequency

Frequency Response Function (FRF) Correlation Using CORA

Compute FRF-based correlation between test and CAE results, applying CORA metrics in the frequency domain and analyzing resonance peak alignment and amplitude differences.

FrequencyResponse

Time-Frequency Correlation for Transient Events

Apply time-frequency analysis (e.g., wavelet or spectrogram) to transient test and CAE signals, and develop a CORA-compatible metric to assess correlation in both time and frequency domains.

Time-FrequencyCorrelation

CORA Scorecard for Multi-Axis Vibration Test

Build a CORA scorecard for multi-axis vibration test data, defining channel groups and weighting to reflect directional importance, and evaluate overall correlation across axes.

Correlation of Nonlinear Simulation with Test Data

Assess correlation for a nonlinear CAE simulation (e.g., contact or material nonlinearity) by applying CORA metrics to key response signals, and identify regions where linear assumptions fail.

CorrelationNonlinear

Uncertainty Quantification in CORA Scoring

Propagate measurement and simulation uncertainties through the CORA scoring process using Monte Carlo sampling, and quantify confidence intervals for the overall correlation score.

UncertaintyQuantification

Robustness of CORA Score to Signal Noise

Evaluate how additive noise in test signals affects CORA scores by systematically varying noise levels, and determine noise thresholds beyond which correlation conclusions become unreliable.

CORA Scorecard for Thermal Response Correlation

Apply CORA metrics to temperature-time histories from thermal tests and CAE simulations, addressing slow transient behavior and sensor lag compensation.

Correlation of Acoustic Pressure Signals

Correlate acoustic pressure measurements with CAE-predicted sound pressure levels using CORA metrics, focusing on frequency weighting and octave band aggregation.

CorrelationAcoustic

CORA Evaluation of Fatigue Life Predictions

Compare fatigue life predictions from CAE with test-derived fatigue lives using CORA-inspired scalar metrics, and discuss the adaptation of CORA for scalar life values.

Automated CORA Scorecard Generation from Batch Simulations

Script the generation of CORA scorecards for a batch of simulation runs, automating data pairing, metric computation, and report generation to streamline correlation studies.

Visualization Dashboard for CORA Scorecard Results

Create an interactive dashboard to visualize CORA scores across channels and load cases, enabling quick identification of poorly correlated areas for further investigation.

VisualizationDashboard

Sensitivity Analysis of CORA Parameters on Score Outcomes

Perform a design-of-experiments study on CORA metric parameters (e.g., corridor width, weighting factors) to quantify their influence on final scores and identify robust parameter settings.

SensitivityAnalysis

Cross-Validation of CORA Scorecard Against Expert Judgment

Compare CORA scorecard results with expert engineer ratings for a set of test-CAE pairs, and analyze agreement to validate the scorecard's effectiveness as a correlation indicator.

Cross-ValidationCORA

CORA Scorecard for Multi-Domain Physical Systems

Apply CORA correlation across coupled physical domains (e.g., mechanical-electrical) by defining cross-domain metrics, and assess the challenges of unifying heterogeneous signal types.

Reporting and Documentation of CORA Correlation Studies

Produce a structured correlation report that documents test-CAE pairing, preprocessing steps, CORA parameter choices, and score interpretation, ensuring traceability and reproducibility.

ReportingDocumentation

Case Study: End-to-End Correlation of a Full System Model

Execute a complete correlation study for a full-system CAE model against system-level test data, from data ingestion through CORA scoring and reporting, highlighting key decisions and lessons learned.

End-to-EndCorrelation