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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 (nodal, elemental, time-history), and challenges in post-processing with Excel.

Preparing CAE results for pivot analysis

importing data, cleaning headers, handling missing values, and structuring raw data into a flat table suitable for PivotTables.

Excel Table fundamentals for CAE data

converting ranges to Tables, using structured references, and ensuring dynamic ranges for pivot cache refresh.

Creating your first PivotTable from CAE results

selecting fields, understanding row/column/value areas, and basic layout for summarizing nodal stresses.

CreatingPivotTable

Grouping and binning CAE data

grouping by load case, time step, or spatial region; creating numeric bins for stress ranges and frequency intervals.

Aggregation methods for CAE metrics

sum, average, min, max, count, and standard deviation applied to displacement, stress, and strain results.

Calculated fields and calculated items

deriving von Mises stress from components, safety factors, and other engineering metrics within PivotTables.

Calculatedderiving

Filtering and slicing CAE results

using report filters, slicers, and timeline controls to isolate load cases, subsystems, or time windows.

PivotCharts for CAE result visualization

creating bar, line, and scatter charts from pivot data to communicate trends and outliers.

Conditional formatting in PivotTables

highlighting critical stress regions, exceedances, and statistical outliers using color scales and rules.

Conditionalformatting

Descriptive statistics for CAE results

computing mean, median, standard deviation, skewness, and kurtosis using PivotTable aggregation and analysis tools.

Descriptivestatistics

Distribution analysis of CAE outputs

building histograms and frequency distributions with PivotTables to assess stress or displacement variability.

Distributionanalysis

Correlation analysis between CAE result variables

using PivotTables to prepare data for correlation matrices and scatter plot analysis.

Correlationanalysis

Comparing multiple load cases and design variants

using PivotTables to summarize and contrast results across configurations.

Comparingmultiple

Time-history and transient result analysis

pivoting time-step data to extract peaks, trends, and statistical summaries over simulation time.

Time-historytransient

Spatial result aggregation

grouping results by part, region, or coordinate bins to analyze spatial patterns and hot spots.

aggregationgrouping

Statistical process control concepts for CAE

using PivotTables to compute control limits and identify out-of-limit results.

Sensitivity and tolerance analysis with PivotTables

summarizing results from DOE or Monte Carlo simulations to assess parameter influence.

Sensitivitytolerance

Data validation and quality checks

using PivotTables to count missing results, detect duplicates, and verify consistency across load cases.

validationPivotTables

Automating pivot refresh and reporting

using VBA or Power Query to refresh PivotTables and update reports when new CAE results arrive.

Automatingreporting

Integrating Power Query for CAE data ingestion

combining multiple result files, unpivoting columns, and loading clean data for PivotTables.

Advanced PivotTable techniques

using GETPIVOTDATA, custom calculations, and show values as (percent of total, running total) for CAE metrics.

AdvancedPivotTable

Building interactive dashboards for CAE results

combining PivotTables, PivotCharts, slicers, and timelines into a single reporting sheet.

Buildinginteractive

Statistical hypothesis testing with PivotTable summaries

preparing data for t-tests and ANOVA to compare design alternatives.

Statisticalhypothesis

Regression analysis for CAE results

using PivotTables to aggregate data for trendline fitting and regression modeling in Excel.

Regressionanalysis

Outlier detection in CAE results

applying statistical rules (e.g., 3-sigma, IQR) using PivotTable calculations and filters.

fatigue life post-processing: pivoting damage and life results to identify critical locations and statistical distribution.

post-processingpivoting

modal analysis results: summarizing natural frequencies and mode shapes participation using PivotTables and statistical measures.

analysissummarizing

thermal analysis results: analyzing temperature distributions and heat flux statistics across components and load steps.

analysisanalyzing

Best practices and template design

structuring reusable Excel workbooks with PivotTables for repeatable CAE post-processing and reporting.

practicestemplate