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019-CAE Automation with Python and Linux
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《Cross-Platform Command-Line Tools for CAE Automation》
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Cross-Platform Command-Line Tools for CAE Automation
30 Chapters
View Course Samples Online
01
Course overview
scope, concepts, and technical context of cross-platform command-line tools for CAE automation.
technical
cross-platform
02
CAE automation landscape
typical workflows, pain points, and where CLI tools fit in the simulation lifecycle.
CAE
automation
03
Cross-platform fundamentals
POSIX vs Windows shells, path handling, environment variables, and process execution differences.
Cross-platform
POSIX
04
Choosing a scripting language for CAE automation
Python, Bash, PowerShell, and compiled alternatives with trade-offs.
Choosing
scripting
05
Command-line argument parsing
designing robust CLIs with argparse, click, docopt, and PowerShell parameter binding.
Command-line
argument
06
File system operations for CAE
traversing case directories, globbing, symlinks, and cross-platform path libraries.
operations
CAE
07
Process management
launching solvers, monitoring exit codes, timeouts, and parallel job control.
management
launching
08
Environment isolation
virtual environments, conda, containers, and module systems for reproducible CAE runs.
Environment
isolation
09
Configuration management
YAML, JSON, TOML, and INI files for parameterizing simulation campaigns.
Configuration
management
10
Logging and diagnostics
structured logging, log rotation, and capturing solver output across platforms.
diagnostics
structured
11
Input deck generation
templating with Jinja2, Mako, and native string manipulation for solver input files.
generation
templating
12
Output parsing
extracting results from solver logs, CSV, HDF5, and binary files using CLI tools.
extracting
CSV
13
Data validation and quality checks
schema validation, unit consistency, and automated sanity checks.
validation
consistency
14
Workflow orchestration
chaining tools with make, snakemake, and custom DAG runners.
Workflow
orchestration
15
Job submission and scheduling
interacting with Slurm, PBS, LSF, and cloud batch services via CLI.
submission
scheduling
16
Remote execution
SSH, SCP, rsync, and cross-platform remote command invocation for CAE clusters.
execution
SSH
17
Containerized CAE automation
Docker and Singularity/Apptainer CLI workflows for portable simulations.
Containerized
CAE
18
Parameter sweeps and design of experiments
generating, launching, and tracking large job arrays.
Parameter
experiments
19
Optimization loops
coupling CLI tools with optimizers like Dakota, Optuna, and scipy.optimize.
Optimization
coupling
20
Post-processing automation
batch extraction of field data, plots, and reports using CLI-driven tools.
Post-processing
automation
21
Mesh generation automation
scripting Gmsh, ANSYS Meshing, and OpenFOAM blockMesh from the command line.
generation
automation
22
Solver-specific CLI integration
OpenFOAM, SU2, CalculiX, Code_Aster, and commercial solver batch modes.
Solver-specific
CLI
23
Error handling and recovery
retry logic, checkpointing, and graceful failure in automated CAE pipelines.
handling
recovery
24
Performance profiling
timing, memory tracking, and I/O bottleneck identification in CLI workflows.
Performance
profiling
25
Security and access control
credential management, secure file transfer, and audit trails for CAE automation.
Security
credential
26
Packaging and distribution
creating cross-platform executables, wheels, and installers for CAE CLI tools.
Packaging
distribution
27
Testing CLI tools
unit tests, integration tests, and mocking solver calls for reliable automation.
CLI
integration
28
Documentation and usability
man pages, --help design, and examples for CAE engineers.
Documentation
usability
29
Case study
end-to-end automation of a parametric CFD study using cross-platform CLI tools.
end-to-end
automation
30
Case study
automated structural optimization workflow with cross-platform CLI orchestration.
automated
structural
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