(2023) j-a-charles/StiffnessCurveNNApp: Shear Stiffness Cure Generator. Zenodo doi:10.5281/zenodo.5879027 [Software]
Abstract
This app uses a neural network to generate a shear stiffness degradation curve (representing how soil reduces in stiffness as a function of strain) with an arbitrary number and combination of input parameters. Traditional empirical methods required set inputs with the engineer being unable to utilise these methods if the required parameters are not available. This app allows the user to select and input between zero and eight of the following parameters: Mean Effective Stress (p) Mean Effective Stress/Reference Atmospheric Stress (p/pa) Overconsolidation Ratio (OCR) Void Ratio (e) Relative Density (Dr) Average Grain Size (D50) Uniformity Coefficient (Cu) Initial Elastic Shear Modulus (G0) After inputting the available data, a neural network will be trained based on the dataset assembled in Oztoprak and Bolton (2013) and an output curve of a specified resolution will be generated. The output curve can be copied to the clipboard for pasting into e.g., Excel.
Version 2.0.1 adds the ability for users to load their own neural network training dataset. The bundled dataset from v1.0 is still included. A new preprocessing module allows for automatic filtering of the dataset to include every datapoint that has the required user specified input parameters and discarding of those datpoints that don't. Further filtering allows for user specified upper and lower bounds for input parameters, filtering datapoints outside these bounds.
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