Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Analysis of the Infiltration Complex System Using a Novel GSA-Hybrid for Automatic Calibration Focused at Civil Construction

Version 1 : Received: 24 May 2022 / Approved: 25 May 2022 / Online: 25 May 2022 (10:16:59 CEST)
Version 2 : Received: 22 June 2022 / Approved: 27 June 2022 / Online: 27 June 2022 (11:18:05 CEST)

How to cite: Aguero_Martinez, D.; Murari, T.; Moret, M. Analysis of the Infiltration Complex System Using a Novel GSA-Hybrid for Automatic Calibration Focused at Civil Construction. Preprints 2022, 2022050351. https://doi.org/10.20944/preprints202205.0351.v1 Aguero_Martinez, D.; Murari, T.; Moret, M. Analysis of the Infiltration Complex System Using a Novel GSA-Hybrid for Automatic Calibration Focused at Civil Construction. Preprints 2022, 2022050351. https://doi.org/10.20944/preprints202205.0351.v1

Abstract

Among the various complex systems that we experience each day, there is the physical phenomenon of infiltration. Infiltration is considered as the dynamics of water flow in the subsurface soil that in this work is framed for the context of civil construction. This issue is approached with the use of mathematical models and stochastic techniques, however, there are hardships in collecting the samples in the field, the adoption of a scale type, the influence in soil layers interfaces, the effects of soil anisotropic characteristics and so on. In this study, methodology is proposed to deal with the soil sampling input such as the retro model, constitutive model and optimization algorithms. Additionally, an automatic calibration is set forth to fix parameters from the mathematical model submitted. Especially among the existing Optimization Algorithms there are Genetic Algorithms and the Generalized Simulated Annealing Algorithm (GSA). This work presents an overview of these optimization methods and a proposal for a more efficient and faster algorithm called GSA-HYBRID based on convergence gradient technique. The applied strategy depends on the type of case study considering its physical properties and constraints. In this sense, it is found that while Genetic Algorithms are able to replicate the optimization surface, Generalized Simulated Annealing is much more adequate in characterizing the system at an extremely low computational cost. Nevertheless, the hybrid technique GSA-HYBRID performed the fastest. Further research is necessary to implement the novel GSA-HYBRID algorithm due to its flexibility and higher speed, also, studying its application at different case studies.

Keywords

Infiltration; GSA-HYBRID Algorithm; GSA Algorithm; Genetic Algorithm; Calibration; Characteristic Curve

Subject

Environmental and Earth Sciences, Soil Science

Comments (0)

We encourage comments and feedback from a broad range of readers. See criteria for comments and our Diversity statement.

Leave a public comment
Send a private comment to the author(s)
* All users must log in before leaving a comment
Views 0
Downloads 0
Comments 0
Metrics 0


×
Alerts
Notify me about updates to this article or when a peer-reviewed version is published.
We use cookies on our website to ensure you get the best experience.
Read more about our cookies here.