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H. Geisler, F. Klempt, M. Soleimani, P. Junker, "Surrogate Modeling for a Multi-Species Biofilm Model", in P. Iványi, J. Kruis, B.H.V. Topping, (Editors), "Proceedings of the Sixteenth International Conference on Computational Structures Technology", Civil-Comp Press, Edinburgh, UK, Online volume: CCC 14, Paper 5.1, 2026, doi:10.4203/ccc.14.5.1

Keywords: biofilm modeling, mult-species interaction, Time-separated Stochastic Mechanics, surrogate model, Hamilton principle, biomechanics.

Abstract

The study of biomechanics not only helps in understanding the fundamental principles governing biological systems but also plays a crucial role in the development of medical treatments, rehabilitation strategies, and the design of biomimetic materials. Unfortunately, the complexity of biological systems often leads to computationally expensive nonlinear models, which can be a significant barrier to their practical application. In this contribution, we assess the Time-separated Stochastic Mechanics (TSM) as a surrogate modeling approach aimed at mitigating the computational demands of a recently developed multi-species biofilm model. The model is able to capture the complex interactions between different bacterial species within a biofilm, including competition for resources and the effects of antibiotics.

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Front Page Browse CCC CCP CSETS CTR IJRT Other Authors Search Purchase Guide FAQ Contact us	Civil-Comp Conferences ISSN 2753-3239 CCC: 14 PROCEEDINGS OF THE SIXTEENTH INTERNATIONAL CONFERENCE ON COMPUTATIONAL STRUCTURES TECHNOLOGY Edited by: P. Iványi, J. Kruis and B.H.V. Topping Paper 5.1 Surrogate Modeling for a Multi-Species Biofilm Model H. Geisler, F. Klempt, M. Soleimani and P. Junker Institute of Continuum Mechanics, Leibniz University Hannover, Germany doi:10.4203/ccc.14.5.1 Full Bibliographic Reference for this paper H. Geisler, F. Klempt, M. Soleimani, P. Junker, "Surrogate Modeling for a Multi-Species Biofilm Model", in P. Iványi, J. Kruis, B.H.V. Topping, (Editors), "Proceedings of the Sixteenth International Conference on Computational Structures Technology", Civil-Comp Press, Edinburgh, UK, Online volume: CCC 14, Paper 5.1, 2026, doi:10.4203/ccc.14.5.1 Keywords: biofilm modeling, mult-species interaction, Time-separated Stochastic Mechanics, surrogate model, Hamilton principle, biomechanics. Abstract The study of biomechanics not only helps in understanding the fundamental principles governing biological systems but also plays a crucial role in the development of medical treatments, rehabilitation strategies, and the design of biomimetic materials. Unfortunately, the complexity of biological systems often leads to computationally expensive nonlinear models, which can be a significant barrier to their practical application. In this contribution, we assess the Time-separated Stochastic Mechanics (TSM) as a surrogate modeling approach aimed at mitigating the computational demands of a recently developed multi-species biofilm model. The model is able to capture the complex interactions between different bacterial species within a biofilm, including competition for resources and the effects of antibiotics. download the full-text of this paper (PDF, 11 pages, 773 Kb) go to the previous paper go to the next paper return to the table of contents return to the volume description
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