OOFELIE::ADX

The OOFELIE::ADX software is used to explore the design space defined by the parameters of your model in an automated way.

“ADX” stands for Automated Design space eXploration.

Three modes are available in the current version:

  • Explorer: Parametric models are used with different analyses which in turns update the model, run simulations and presents collected results in a global spreadsheet.
  • Response Surface Generation: Permits the creation of a Super Element Mode (SEM) from datasets with Input/Output information.
  • Quantify: Designed to extract statistical characteristics of a given datasets. Provides general statistics, correlations, and distribution identification tools.

Explorer

In the Explorer mode, OOFELIE::ADX gives the opportunity to navigate the design space defined by the parameters of your model. The following analyses can be considered:

  • Design of Experiment (DoE)
    • Parameter Sweeps
    • Quasi Random Sampling (QRS)
    • Latin Hypercube Sampling (LHS)
  • Optimization
    • Constrained Optimization BY Linear Approximations (COBYLA)
    • Method of Moving Asymptotes (MMA)
  • Sensitivity
  • Model Updating

The interface guides the user through a typical workflow composed of four steps:

1. Configuration: selection and configuration of the method (exploration, optimization, etc.)
2. Results definition: specification of the data to retrieve from the model
3. Execution: the different configurations of the models are executed locally or at remote machine(s).
4. Results analysis: results collected from the executions

For Design of Experiments, OOFELIE::ADX permits to characterize each parameter with one of the following statistical distribution

The Remote execution (based on HTCondor) of simulations is an important feature that enables the user to take advantages of a cluster or another machine more powerful than the one of the user in charge of the definition of the analysis.

Response Surface Generation

This working mode of OOFELIE::ADX helps creating Response Surfaces for a given dataset. 

A dataset contains Input & Output values that are coming indifferently from real experiment measurements or that are results from numerical simulations (for e.g. from a DoE performed with OOFELIE::ADX itself).

The user defines in the interface the equation of a function to fit the data.

This mode makes then use of the OOFELIE::Multiphysics Solver to determine the best coefficients of the fitting function.

Quantify

The Quantify working mode of OOFELIE::ADX helps identifying the distributions and relations between parameters of a model. A dataset could come from a real experiment measurements or results from numerical simulations.

OOFELIE::ADX helps here computing general statistics and correlations from the dataset.

OOFELIE::ADX is here used to express the values of the dataset as a selected distribution. In addition to the “Goodness of Fit” methods, the graphical tool QQ-plot is also provided:
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