Continuum Mechanics and Structures Division » ANN surrogate model for the static stiffness of pile foundations in non-homogeneous soils

Continuum Mechanics and Structures Division

ANN surrogate model for the static stiffness of pile foundations in non-homogeneous soils

This repository contains a surrogate model based on Artificial Neural Networks (ANN) for estimating the horizontal, rocking, cross-swaying and vertical static stiffness of a pile embedded in half space whose properties vary with depth following a general power law expression. The model is presented in:

R. Quevedo-Reina, G.M. Álamo, J.J. Aznárez Estimation of pile stiffness in non-homogeneous soils through Artificial Neural Networks, Engineering Structures, 308, 117999, 2024.

The model can be used as an application or through Matlab code. An user manual for the code-version of the model can be found in the compressed file.

Download source code

The app installing files and the Matlab code for running the model can be downloaded from this link.

Financing

This work has been developed with the support of research projects:

PID2020-120102RB-I00, funded by the Agencial Estatal de Investigación of Spain, MCIN/AEI/10.13039/501100011033.

Copyright and disclaimers:

This software is distributed following a CC BY-NC-ND 4.0 licence. It can not be used for any commercial applications and distributions without prior written permissions of the original authors. Proper acknowledgment should be given in publications resulting from the use of these software. There is no warranty, expressed or implied, for the use of these software. The authors are not responsible for any possible damages in using these software and no technical support is available to users of these software.


	Continuum Mechanics and Structures Division
Home Members Publications Research Projects Structural Dynamics Lab Software	ANN surrogate model for the static stiffness of pile foundations in non-homogeneous soils This repository contains a surrogate model based on Artificial Neural Networks (ANN) for estimating the horizontal, rocking, cross-swaying and vertical static stiffness of a pile embedded in half space whose properties vary with depth following a general power law expression. The model is presented in: R. Quevedo-Reina, G.M. Álamo, J.J. Aznárez Estimation of pile stiffness in non-homogeneous soils through Artificial Neural Networks, Engineering Structures, 308, 117999, 2024. The model can be used as an application or through Matlab code. An user manual for the code-version of the model can be found in the compressed file. Download source code The app installing files and the Matlab code for running the model can be downloaded from this link. Financing This work has been developed with the support of research projects: PID2020-120102RB-I00, funded by the Agencial Estatal de Investigación of Spain, MCIN/AEI/10.13039/501100011033. Copyright and disclaimers: This software is distributed following a CC BY-NC-ND 4.0 licence. It can not be used for any commercial applications and distributions without prior written permissions of the original authors. Proper acknowledgment should be given in publications resulting from the use of these software. There is no warranty, expressed or implied, for the use of these software. The authors are not responsible for any possible damages in using these software and no technical support is available to users of these software.
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