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An Introduction to Some Methods for Soft Computing in Fluid Dynamics

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14th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2019) (SOCO 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 950))

Abstract

In recent years the terms big data, soft computing and machine learning have been widely extended in several research fields, where the analysis of data (mainly time series) provides useful information to solve different types of engineering problems. Turbulent flows and reduced order models (ROMs) are two terms related to the field of fluid dynamics that can be compared to the previous expressions, which are generally used in data science. This paper presents a short introduction to some of the methodologies generally used in fluid dynamics for the analysis of complex flows to extract spatio-temporal features. These methods are also used to construct ROMs to predict spatio-temporal events using a small number of variables. The paper intends to connect the field of computer and data science with the classical terms and methodologies used in fluid dynamics for soft computing and machine learning, known as ROMs.

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Acknowledgements

The author is grateful to Prof. J. M. Vega for many interesting discussions and his continuous support. This work was supported by ‘Programa Propio UPM’.

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Authors and Affiliations

  1. School of Aerospace Engineering, Universidad Politécnica de Madrid, 28040, Madrid, Spain

    Soledad Le Clainche

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  1. Soledad Le Clainche
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Correspondence to Soledad Le Clainche .

Editor information

Editors and Affiliations

  1. Data Science and Big Data Lab, Pablo de Olavide University, Seville, Spain

    Francisco Martínez Álvarez

  2. Data Science and Big Data Lab, Pablo de Olavide University, Seville, Spain

    Alicia Troncoso Lora

  3. University of Salamanca, Salamanca, Spain

    José António Sáez Muñoz

  4. Department of Industrial Engineering, University of A Coruña, A Coruña, Spain

    Héctor Quintián

  5. University of Salamanca, Salamanca, Spain

    Emilio Corchado

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Le Clainche, S. (2020). An Introduction to Some Methods for Soft Computing in Fluid Dynamics. In: Martínez Álvarez, F., Troncoso Lora, A., Sáez Muñoz, J., Quintián, H., Corchado, E. (eds) 14th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2019). SOCO 2019. Advances in Intelligent Systems and Computing, vol 950. Springer, Cham. https://doi.org/10.1007/978-3-030-20055-8_53

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