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Linux Shell Scripting for Crash CAE Automation

30 Chapters

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Crash CAE automation landscape

solver workflows, LS-DYNA and Radioss job patterns, Linux HPC environments, and the role of shell scripting in reducing manual intervention.

Shell scripting foundations for CAE engineers

Bash vs. POSIX sh, script execution, exit codes, quoting rules, and safe handling of file paths containing spaces or solver keywords.

scriptingfoundations

Core text-processing toolkit for crash simulation data

grep, sed, awk, cut, sort, uniq, and tr applied to keyword files, boundary condition decks, and solver log parsing.

text-processingsimulation

File and directory operations for CAE job management

find, xargs, rsync, tar, and structured directory layouts for model versions, include files, and simulation runs.

directoryoperations

Environment and variable management

PATH, LD_LIBRARY_PATH, solver-specific environment variables, module systems, and reproducible runtime configuration across compute nodes.

Environmentvariable

Command-line argument parsing and user interaction

getopts, positional parameters, usage messages, and interactive prompts for selecting solver versions, run directories, and simulation cases.

Command-lineargument

Conditional logic and branching for simulation decisions

if/then/elif, case statements, test operators, and file existence checks to control solver execution and post-processing paths.

Conditionalbranching

Loops and iteration over CAE job arrays

for, while, until, and nested loops for batch execution of multiple load cases, material variations, and impact velocities.

Functions and modular script design

defining reusable functions, local variables, return codes, and building a personal CAE automation library for common solver tasks.

Functionsdefining

Input deck parameterization and templating

here-documents, sed-based substitution, and shell-driven generation of LS-DYNA keyword files for parametric crash studies.

parameterizationtemplating

Job submission and scheduling integration

writing scripts for Slurm, PBS, and LSF, managing job arrays, dependencies, and resource requests for crash simulations.

submissionscheduling

Solver execution monitoring and error handling

trapping signals, checking solver exit status, detecting negative volume or time-step errors, and automated job restart logic.

executionmonitoring

Log file parsing and extraction of crash metrics

awk and grep pipelines to extract energy balance, hourglass energy, interface forces, and termination time from d3plot and messag files.

extractionpipelines

Automated post-processing with shell scripts

invoking LS-PrePost, Meta, or Python-based post-processors, managing output directories, and generating summary reports.

Automatedpost-processing

Data validation and quality checks for CAE models

shell scripts to verify include file paths, check unit consistency, detect duplicate node IDs, and validate boundary condition references.

Batch parametric studies and design of experiments

scripting nested loops for thickness, material, and geometry variations, and organizing results for sensitivity analysis.

parametricexperiments

File synchronization and data management for crash CAE

rsync-based model deployment to HPC clusters, checksum verification, and cleanup policies for large d3plot and binout files.

synchronizationmanagement

Parallel and distributed execution strategies

GNU parallel, xargs -P, and job array coordination for running multiple crash simulations concurrently on Linux clusters.

Paralleldistributed

Error recovery and restart automation

detecting incomplete runs, modifying restart keywords, resubmitting jobs, and logging failure reasons for crash simulation campaigns.

recoveryautomation

Performance profiling and resource monitoring

shell scripts using top, ps, free, and sacct to track memory, CPU, and wall-clock usage of crash solver jobs.

Performanceprofiling

Version control and reproducibility for CAE scripts

Git integration, script versioning, environment capture, and ensuring repeatable crash simulation workflows.

reproducibilityCAE

Automated report generation from simulation results

combining shell text processing with gnuplot, matplotlib, or HTML templates to produce crashworthiness summary reports.

Automatedgeneration

Integration with CAE pre-processors

shell-driven batch meshing, model assembly, and keyword export from HyperMesh, ANSA, or SimLab command-line interfaces.

Cross-solver automation

adapting shell scripts for LS-DYNA, Radioss, Abaqus/Explicit, and PAM-CRASH, handling solver-specific input formats and execution flags.

Cross-solverautomation

Security and access control in shared CAE environments

file permissions, umask, SSH key management, and safe scripting practices for multi-user HPC clusters.

Debugging and testing shell scripts for CAE automation

set -x, shellcheck, unit testing with bats, and dry-run modes for validating solver command sequences.

Workflow orchestration for full crash CAE pipelines

chaining pre-processing, solver execution, post-processing, and reporting into a single automated shell workflow.

Workfloworchestration

automated frontal impact simulation campaign: scripting model variants, submitting jobs, extracting intrusion and acceleration metrics, and generating comparison tables.

automatedsimulation

side impact and pole crash automation: managing multiple load cases, barrier positions, and occupant restraint parameters through shell-driven parametric runs.

automationmanaging

Best practices and maintainability for production CAE automation

coding standards, documentation, logging, error handling patterns, and scaling shell scripts across large crash simulation projects.

practicesmaintainability