A new methodology for the efficient design of modular carbon-reinforced concrete structures | Funding Period 2
The central challenge of this project is the further development of the modular structure generator for the generation of practice-relevant designs of carbon-reinforced concrete structures. On the one hand, the model reduction technique for modular structures developed in the first funding period will be improved. On the other hand, various constructional requirements for modular concrete structures and functionality groups of modules will be developed and investigated. Furthermore, the construction kit will be extended by modules from other projects. To increase the efficiency and quality of structure generation, novel assembling strategies and machine learning will be used. Damage and plasticity will be taken into account to improve the design evaluation of the structures.
Scientists
![[Translate to English:]](/fileadmin/_processed_/8/a/csm_2024_A01_Holthusen_ceef03baa8.jpg "Dr.-Ing. Hagen Holthusen")
D-52074 Aachen (Germany)
D-52074 Aachen (Germany)
D-52074 Aachen (Germany)
Cooperations
Ehemalige | Former involved
Prof. Dr.-Ing. habil. Stefanie Reese (Project Manager, RWTH Aachen, 07/2020 – 06/2024)
Stephan Ritzert (research associate RWTH Aachen, 10/2021 – 06/2024)
A New Methodology to Transfer Efficient Mechanisms of Load Transmission from Nature to Structures Made of Carbon-Reinforced Concrete | Funding Period 1
The goal of this project is to develop a so-called modular-structure-generator that provides a variety of bioinspired carbon-reinforced concrete structures, which can be implemented into practice.
Initially, the challenge is to identify essential bionic construction elements, e.g. stems as supporting elements and leaf lamina as shell-like ceiling elements. The aim is to generate a modular construction kit that enables as many construction relevant combinations of bionic elements as possible. To perform efficient and robust simulations, special finite elements with reduced integration and the model order reduction method are applied. The focus is on taking into account both the material anisotropy, due to changing fiber orientations, and coupling conditions between individual modules.
Finally, a screening algorithm is developed that automatically creates various structures consisting of modules available in the construction kit. Such structures are going to be evaluated with regard to their applicability in structural engineering problems.
Within the framework of A01, the seed fund project "Virtual experiments on plant components" (1st round 2022) is carried out.
Publikationen | Publications
Curosu, V.; Kikis, G.; Krüger, C.; Liebold, F.; Macek, D.; Mester, L.; Platen, J.; Ritzert, S.; Stüttgen, S.; Kaliske, M.; Klinkel, S.; Loehnert, S.; Maas, H.-G.; Reese, S.; Robertz, D. (2023) Ansätze für numerische Methoden zur Inspiration, Analyse und Bewertung neuartiger Carbonbetonstrukturen in: Bauingenieur 98, issue 11, p. 368–377 – DOI: 10.37544/0005-6650-2023-11-56
Macek, D.; Holthusen, H.; Rjosk, A.; Ritzert, S.; Lautenschläger, T.; Neinhuis, C.; Simon, J. W.; Reese, S. (2022) Mechanical investigations of the peltate leaf of Stephania japonica (Menispermaceae): Experiments and a continuum mechanical material model in: Frontiers in Plant Science 13 – DOI: 10.3389/fpls.2022.994320
Macek, D.; Holthusen, H.; Rjosk, A.; Ritzert, S.; Lautenschläger, T.; Neinhuis, C.; Simon, J.-W.; Reese, S. (2023) A constitutive model for modeling the mechanical behavior of the peltate leaf of Stephania japonica (Menispermaceae) in: Proceedings in Applied Mathematics and Mechanics 23, issue 3, Special Issue: 93rd Annual Meeting of the International Association of Applied Mathematics and Mechanics (GAMM), e202200288 – DOI: https://doi.org/10.1002/pamm.202200288
Macek, D.; Rjosk, A.; Ritzert, S.; Lautenschläger, T.; Neinhuis, C.; Reese, S. (2023) Numerical Simulations of the Mechanical Behavior of Plant Tissues as an Inspiration for Carbon Reinforced Concrete Structures in: Ilki, A.; Çavunt, D.; Çavunt, Y. S. [eds.] Building for the Future: Durable, Sustainable, Resilient – Proc. of fib Symposium 2023, 05.–07.06.2023 in Istanbul (Turkey), publ. in: Lecture Notes in Civil Engineering 350, Cham: Springer, p. 1408–1417 – DOI: 10.1007/978-3-031-32511-3_144
Macek, D.; Rjosk, A.; Ritzert; S.; Lautenschläger, T.; Neinhuis, C.; Reese, S. (2023) Pflanzengewebe als Inspiration für Carbonbeton-Strukturen: Morphologie und mechanisches Verhalten in: Bauingenieur 98, issue 07–08, p. 227–233 – DOI:10.37544/0005-6650-2023-07-08-49
Ritzert, S.; Macek, D.; Simon, J. W.; Reese, S. (2022) Reduced Order Modeling for modular anisotropic Structures based on Proper Orthogonal Decomposition and Mesh Tying in: Koshizuka, S. [ed.] Proc. of 15th World Congress on Computational Mechanics (WCCM-XV) and 8th Asian Pacific Congress on Computational Mechanics (APCOM-VIII), 31.07.–05.08.2022 in Yokohama (Japan, virtual congress), 12 p. – DOI: https://doi.org/10.23967/wccm-apcom.2022.097
Ritzert, S.; Macek, D.; Simon, J.-W.; Reese, S. (2023) An adaptive model order reduction technique for parameter–dependent modular structures in: Computational Mechanics 73, p. 1147–1163 – DOI: https://doi.org/10. 1007/s00466-023-02404-w
Ritzert, S.; Macek, D.; Simon, J.W.; Reese, S. (2023) Reduced order modeling of modular parameter dependent structures based on proper orthogonal decomposition and mesh tying in: Proceedings in Applied Mathematics and Mechanics 22, issue 1, Special Issue: 92nd Annual Meeting of the International Association of Applied Mathematics and Mechanics (GAMM), 15.–19.08.2022 in Aachen, e202200189 – DOI:
https://doi.org/10.1002/pamm.202200189
Ritzert, S.; Rjosk, A.; Holthusen, H.; Lautenschläger, T.; Neinhuis, C.; Reese, S. (2024) Mechanical modeling of the petiole-lamina transition zone of peltate leaves in: Acta Biomaterialia, Vol. 187, 278–290 – DOI: https://doi.org/10.1016/j.actbio.2024.08.019
Vorträge und Poster | Oral presentations and posters
Macek, D.; Brepols, T.; Holthusen, H. (2024) Discovering Tension-Compression Asymmetry in Plant Tissues Using inelastic Constitutive Artificial Neural Networks oral presentation at: 19th European Mechanics of Materials Conference, 29.–31.05.2024 in Madrid (Spain)
Macek, D.; Holthusen, H.; Rjosk, A.; Ritzert, S.; Lautenschläger, T.; Neinhuis, C.; Simon, J. W.; Reese, S. (2022) A constitutive model for modeling the mechanical behavior of the peltate leaf of Stephania japonica (Menispermaceae) oral presentation at: 92nd Annual Meeting of the International Association of Applied Mathematics and Mechanics, 15.–19.08.2022 in Aachen
Macek, D.; Ritzert, S.; Reese, S.; Brepols, T.; Holthusen, H. (2024) A POD-Based Methodology for the Design of Modular Carbon-Reinforced Concrete Structures oral presentation at: 16th World Congress on Computational Mechanics and 4th Pan American Congress on Computational Mechanics (WCCM-PANACM) 2024, 21.–26.07.2024 in Vancouver (Canada)
Macek, D.; Ritzert, S.; Simon, J. W.; Reese, S. (2022) Proper Orthogonal Decomposition-Based Model Reduction For Modular Structural Systems oral presentation at: 9. GACM Coll. on Computational Mechanics, 21.–23.09.2022 in Essen
Ritzert, S.; Holthusen, H.; Macek, D.; Rjosk, A.; Lautenschläger, T.; Neinhuis, C.; Reese, S. (2023) Modeling technique for petiole-lamina connections of peltate leaves in: ECCOMAS 7th Young Investigators Conference YIC, 19.–21.06.2023 in Porto (Portugal, proceedings in preparation)
Rjosk, A.; Ritzert, S.; Macek, D.; Friese, D.; Neef, T.; Mechtcherine, V.; Cherif, C.; Reese, S.; Neinhuis, C.; Lautenschläger, T. (2023) A new approach to construction: using peltate leaves as inspiration in the design of novel carbon fibre reinforced concrete building components oral presentation at: 10. Bionik-Kongress, 12./13.05.2023 in Bremen (proceedings in preparation)
Studentische Arbeiten | Student's works
Ji, C. (2022) Numerical simulation of the anisotropic viscoelastic behavior of plant tissues at finite deformation [Bachelorarbeit | Bachelor's thesis]
Al Saidawi, M. (2023) Optimierung von parametrischen Strukturen basierend auf einem adaptiven Modellreduktionsverfahren mit Substrukturierung [Bachelorarbeit | Bachelor's thesis]
Kaya, D. (2024) Influence of a Sampling Approach on the Performance of the POD-Based Model Reduction Technique for Modular Systems [Bachelorarbeit | Bachelor's thesis]