VIP20
本课程属于：027-CAE Data Analytics AI ML and Crash Safety Engineering English Technical Courses · 共 20 门相关课程，组合学习更完整。
查看所属VIP全部课程 →
← 返回所属目录 咨询 / 购买

Multi-Iteration CAE Result Comparison and Design Ranking

30 Chapters
View Course Samples Online
01
Multi-iteration CAE comparison and ranking
course scope, engineering motivation, and key terminology.
Multi-iterationCAE
02
Data model for iteration sets
organizing CAE results, metadata, design variables, and run identifiers.
iterationorganizing
03
Result extraction and normalization
field data, scalar metrics, units, and coordinate systems across iterations.
extractionnormalization
04
Baseline selection and reference configuration
defining the comparison anchor for multi-iteration studies.
Baselineselection
05
Difference metrics for scalar and vector fields
absolute, relative, normalized, and weighted deltas.
Differenceabsolute
06
Spatial field comparison
pointwise differences, contour overlays, and region-based aggregation.
comparisonpointwise
07
Mesh and discretization variability
handling non-matching grids and interpolation effects in comparisons.
discretizationvariability
08
Time-history and transient result comparison
alignment, phase shifts, and envelope metrics.
Time-historytransient
09
Modal and frequency response comparison
mode pairing, MAC values, and FRF differences.
frequencyresponse
10
Statistical summarization across iterations
distributions, trends, and outlier detection for CAE metrics.
Statisticalsummarization
11
Design ranking fundamentals
criteria definition, weighting schemes, and normalization for multi-metric ranking.
criteriadefinition
12
Multi-criteria decision analysis for CAE designs
Pareto fronts, TOPSIS, and weighted scoring.
Multi-criteriadecision
13
Constraint handling in ranking
feasibility filters, penalty methods, and trade-off visualization.
Constrainthandling
14
Sensitivity and robustness ranking
incorporating variation and uncertainty into design scores.
Sensitivityrobustness
15
Automated comparison pipeline
scripting extraction, metric computation, and report generation.
Automatedcomparison
16
Visualization dashboard for iteration comparison
parallel coordinates, heatmaps, and difference plots.
Visualizationdashboard
17
Case study
structural design iterations—comparing stress, stiffness, and mass across variants.
structuraliterations
18
Case study
crashworthiness iterations—ranking designs by intrusion, acceleration, and energy metrics.
crashworthinessiterations
19
Case study
thermal management iterations—comparing temperature fields and heat flux across designs.
managementiterations
20
Case study
CFD design iterations—ranking pressure drop, flow uniformity, and drag metrics.
CFDiterations
21
Case study
modal and NVH iterations—comparing frequency shifts and mode shapes for ranking.
NVHiterations
22
Handling large iteration sets
data management, storage, and efficient comparison workflows.
Handlingiteration
23
Result versioning and traceability
linking CAE results to design revisions and simulation setups.
versioningtraceability
24
Automated ranking report generation
templates, tables, and export to engineering decision documents.
Automatedgeneration
25
Integration with optimization loops
ranking feedback for design space exploration and convergence.
Integrationoptimization
26
Quality checks for comparison validity
consistency, convergence, and error estimation.
comparisonvalidity
27
Communicating ranking results to stakeholders
visual summaries and decision-ready metrics.
Communicatingstakeholders
28
Practical workshop
building a multi-iteration comparison and ranking workflow from scratch.
workshopbuilding
29
Advanced topics
machine learning for surrogate-based ranking and comparison acceleration.
Advancedsurrogate-based
30
Capstone project
end-to-end multi-iteration CAE comparison and design ranking for a real engineering case.
Capstoneend-to-end