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Excel Pivot Tables and Statistical Analysis for CAE Results

30 Chapters

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CAE results data landscape

common output formats (CSV, XLSX, DAT), result types (stress, displacement, frequency, temperature), and challenges in post-processing with Excel.

Preparing CAE results for pivot tables

importing and cleaning data, handling headers, units, missing values, and normalizing load case and iteration identifiers.

Pivot table fundamentals for CAE

creating a pivot table from a results dataset, understanding rows, columns, values, and filters in the context of simulation data.

Structuring CAE results for pivot analysis

best practices for tabular data layout, using Excel Tables, and ensuring data integrity for repeated runs.

Aggregating CAE results with pivot tables

sum, average, min, max, count, and product for metrics like stress, displacement, and safety factor.

Grouping and binning CAE results

creating bins for stress ranges, displacement intervals, and frequency bands to analyze distributions.

Filtering and slicing CAE results

using report filters, slicers, and timelines to isolate load cases, materials, or geometry variants.

Pivot charts for CAE data visualization

column, bar, line, and scatter charts to display trends and comparisons of simulation outputs.

CAEvisualization

Statistical analysis of CAE results

descriptive statistics (mean, median, standard deviation, percentiles) using pivot tables and formulas.

Statisticalanalysis

Comparing load cases and design variants

pivot tables for side-by-side comparison of stress, displacement, and factor of safety across configurations.

Comparingvariants

Time-dependent CAE results

analyzing transient and modal results with pivot tables, including time steps and frequency extraction.

Time-dependentCAE

Handling large CAE datasets

performance optimization techniques, using Data Model, Power Pivot, and efficient data retrieval.

Advanced pivot table features for CAE

calculated fields, calculated items, and custom groupings for derived metrics like yield margin.

Advancedfeatures

Statistical process control for CAE

using pivot tables to compute control limits and identify outliers in simulation results.

Correlation and regression analysis

pivot table-based exploration of relationships between input parameters and CAE outputs.

Correlationregression

Sensitivity and parametric analysis

pivot tables to summarize results from design of experiments (DOE) and parameter sweeps.

Sensitivityparametric

Reliability analysis with pivot tables

calculating probabilities, failure rates, and confidence intervals from CAE result sets.

Reliabilityanalysis

Fatigue and durability results

pivot tables for cycle counts, damage accumulation, and life prediction summaries.

durabilityaccumulation

Thermal and CFD results analysis

pivot tables for temperature distributions, heat flux, and flow metrics.

Modal analysis results

pivot tables for natural frequencies, mode shapes, and participation factors.

analysisfrequencies

Automation and refresh

using VBA, Power Query, and macros to update pivot tables from new CAE runs automatically.

Dashboard creation for CAE results

combining pivot tables, pivot charts, and slicers into interactive engineering dashboards.

Dashboardcreation

Data validation and quality checks

pivot tables for detecting anomalies, missing data, and inconsistent units in CAE outputs.

validationdetecting

Reporting and documentation

exporting pivot tables and charts to reports, and integrating with Word and PowerPoint.

Reportingdocumentation

structural analysis results: end-to-end pivot table analysis of stress and displacement from a finite element model.

structuralanalysis

thermal analysis results: analyzing temperature distribution and heat transfer using pivot tables and statistical summaries.

analysisanalyzing

fatigue life results: summarizing fatigue damage and life predictions across multiple load cases.

summarizingpredictions

design optimization: using pivot tables to compare design alternatives and identify optimal parameters.

optimizationalternatives

Best practices and pitfalls

common mistakes in pivot table analysis of CAE data, and tips for reliable results.

practicespitfalls

Capstone project

integrate pivot tables and statistical analysis to solve a real-world CAE post-processing problem, from data preparation to reporting.

Capstoneintegrate