DATASET CREEP COEFFICIENTS OPTIMIZER

Fits the three-parameter creep law ε = A · σⁿ · tᵐ to experimental creep data by optimizing coefficients A, n, and m via Nelder–Mead minimization on the sum-of-squared errors. Use this worker to calibrate creep material parameters from coupon test data for downstream material card authoring.

When to use

Tagged: creep, creep_coefficients, creep_law, curve_fitting, material_calibration, nelder_mead, optimization, parameter_fitting.

Inputs

Label	ID	Type	Default	Required	Description
Dataset	dataset	dataset	—	✓	Tabular dataset containing at least one column of test stress values (scalar per row) and one column of creep strain curves (time–strain curve objects); each row represents a separate creep test.
stress_column_name	stress_column_name	text	—		Name of the dataset column holding the applied stress values (e.g. ‘stress_MPa’); leave blank only if the column can be auto-detected, otherwise required.
strain_column_name	strain_column_name	text	—		Name of the dataset column holding the time–strain creep curves (curve type); must reference a column containing (time, strain) pairs for each stress level.
Time Unit	time_unit	text	—		Time unit of the creep curves: ‘hour’, ‘second’, or ‘msec’; defaults to ‘second’ — set explicitly to match your test data to ensure correct internal time-axis scaling.
Initial Value for Parameter A	initial_A	text	—		Initial guess for the pre-exponential creep coefficient A (must be > 0); defaults to 0.1 — adjust if convergence is poor for your material system.
Initial Value for Parameter n	initial_n	text	—		Initial guess for the stress exponent n (must be > 0); defaults to 2 — typical range 1–10 for polymers and metals.
Initial Value for Parameter m	initial_m	text	—		Initial guess for the time exponent m (must be < 0 for primary creep); defaults to −1 — adjust toward 0 for near-steady-state creep data.

Outputs

Label	ID	Type	Description
Output Dataset	dataset	dataset	Augmented input dataset with additional columns: ‘log_slopes’ (log-space derivative curve), ‘log_sr’ (log strain-rate curve), and scalar columns for the optimal A, n, m values applied per row.

Disciplines

• ai_ml.supervised.regression
• design_exploration.optimization
• engineering.material.calibration
• engineering.material.characterization

Runnable example

A runnable example is registered for this worker. Open the example workflow on the d3VIEW canvas: /api/workflow/example?id=dataset_creep_coefficients_optimizer

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