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Ergänzung zu Multiskalenverfahren und reale Ingenieursanwendungen

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Zusammenfassung

Im folgenden Kapitel wird eine Erweiterung von den Multiskalenverfahren gegeben, wie sie in der Praxis und bei realen Anforderungen modifiziert und eingesetzt werden. Dabei hat man oft ganz andere Ansprüche in der Praxis und die Multiskalenverfahren müssen entsprechend modifiziert werden. Sie dienen dann oft als Kopplungsverfahren, mit denen man die Ergebnisse der unterschiedlichen skalenabhängigen Modellen ergänzt. So werden Daten zwischen dem mikroskopischen oder dem makroskopischen Modell austauscht und und das Verständnis des Gesamtmodells verbessert. Dabei müssen die Multiskalenverfahren den praktischen Anforderungen angepasst werden. Sie müssen schnell programmierbar sein und sich schnell in eine vorhandene Programmstruktur einfügen lassen. Dabei ist es wichtig, die Wiederverwendung von Softwarecode anzustreben und die vorhandenen Softwarepakete entsprechend um die neuen Multiskalenlöser zu erweitern. Eine Möglichkeit ist der modulare Aufbau eines Softwarepakete, hier werden die schon vorhandenen Softwarecodes, z. B. ein Softwareprogramm für ein mikroskopisches Modell und ein Softwareprogramm für ein makroskopisches Modell mit einem Kopplungsalgorithmus zusammengefügt und zu einem Multiskalenmodell ergänzt. Wir besprechen nun die mehr praktische Umsetzung und die Modifikation der Multiskalenmethoden für die Ingenieurspraxis an realen Ingenieursanwendungen.

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Notes

  1. 1.

    MATLAB, MATLAB and Simulink for simulation and Model − Based Design, http://de.mathworks.com/, 2014.

  2. 2.

    SBML, System Biology Markup Language, http://sbml.org/Main_Page/, 2017.

  3. 3.

    SBtab, Standardised Data Tables for Biological Systems, https://sbtab.net/, 2017.

  4. 4.

    NIST, National Instiute of Standards and Technology, https://www.nist.gov/data, 2017.

  5. 5.

    Python, Python Opensourse Project : High − level programming language for general− purpose programming, https://www.python.org/, 2017.

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  1. Ruhr-Universität Bochum, Bochum, Deutschland

    Jürgen Geiser

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Geiser, J. (2018). Ergänzung zu Multiskalenverfahren und reale Ingenieursanwendungen. In: Computational Engineering. Springer Vieweg, Wiesbaden. https://doi.org/10.1007/978-3-658-18708-8_6

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