| { |
| "id": "single-software-execution--cli--openfast--task-17--ubuntu", |
| "snapshot": "openfast5", |
| "instruction": "Work from `/home/user/Desktop/drivetrain.fst`, `/home/user/Desktop/elasto_drivetrain_base.dat`, a controller template, and the supplied 12 m/s TurbSim full-field wind record. Additional initialization dependencies are pre-uploaded under `/home/user/Desktop` with relative structure preserved. Only initialization inputs are included; no answer/result artifacts are preloaded.\n\nComplete a drivetrain torque fatigue analysis from the command line. 1. Write `/home/user/Desktop/build_case.py`. Create normalized `/home/user/Desktop/elasto_drivetrain.dat`, `/home/user/Desktop/aero_drivetrain.dat`, and `/home/user/Desktop/servo_drivetrain.dat`; retain native ElastoDyn outputs `RotTorq` and `RotSpeed`. Create `/home/user/Desktop/drivetrain_case.fst` with `TMax=60`, `DT_Out=0.1`, `OutFileFmt=1`, the supplied `5MW_Baseline/NRELOffshrBsline5MW_InflowWind_12mps.dat`, and the generated module files. 2. Run `/home/user/miniconda3/bin/openfast drivetrain_case.fst`, retain `/home/user/Desktop/drivetrain_case.out`, and save the console output as `/home/user/Desktop/drivetrain_case.log`; require normal termination. 3. Write `/home/user/Desktop/postprocess.py`. Discard `t < 10 s`, convert `RotTorq` from kN-m to MN-m, and compute its mean and population standard deviation. Extract turning points after removing consecutive duplicates. Perform ASTM-style four-point rainflow counting using full peak-to-peak ranges: count closed cycles as 1.0 and residual ranges as 0.5. With Woehler exponent `m=4` and `N_eq=50` equivalent cycles (1 Hz over the analyzed 50 s), calculate `DEL=(sum(n_i*range_i^m)/N_eq)^(1/m)`. 4. Save `/home/user/Desktop/summary.txt` as `mean_tq_mnm,std_tq_mnm,del_tq_mnm`. Do not use GUI tools.", |
| "source": "https://github.com/openFAST/r-test", |
| "config": [ |
| { |
| "type": "upload_file", |
| "parameters": { |
| "files": [ |
| { |
| "local_path": "task-17/init_file/init_file.tar", |
| "path": "/home/user/Desktop/init_file.tar" |
| } |
| ] |
| } |
| }, |
| { |
| "type": "launch", |
| "parameters": { |
| "command": "bash -c \"mkdir -p '/home/user/Desktop/' && tar -xf '/home/user/Desktop/init_file.tar' -C '/home/user/Desktop/' && rm -f '/home/user/Desktop/init_file.tar'\"", |
| "shell": true |
| } |
| } |
| ], |
| "trajectory": "trajectories/", |
| "related_apps": [ |
| "openfast" |
| ], |
| "artifact_paths": [ |
| "/home/user/Desktop/build_case.py", |
| "/home/user/Desktop/elasto_drivetrain.dat", |
| "/home/user/Desktop/aero_drivetrain.dat", |
| "/home/user/Desktop/servo_drivetrain.dat", |
| "/home/user/Desktop/drivetrain_case.fst", |
| "/home/user/Desktop/drivetrain_case.out", |
| "/home/user/Desktop/drivetrain_case.log", |
| "/home/user/Desktop/postprocess.py", |
| "/home/user/Desktop/summary.txt" |
| ], |
| "evaluator": { |
| "postconfig": [ |
| { |
| "type": "upload_file", |
| "parameters": { |
| "files": [ |
| { |
| "local_path": "task-17/eval.py", |
| "path": "/home/user/Desktop/eval.py" |
| } |
| ] |
| } |
| } |
| ], |
| "func": "exact_match", |
| "result": { |
| "type": "vm_command_line", |
| "command": "python3 /home/user/Desktop/eval.py", |
| "shell": "true" |
| }, |
| "expected": { |
| "type": "rule", |
| "rules": { |
| "expected": "True\n" |
| } |
| } |
| }, |
| "proxy": false, |
| "fixed_ip": false, |
| "possibility_of_env_change": "low" |
| } |
|
|
