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Computational co-design framework

Computational co-design framework for fibre composite building systems

Research project

(Research project 12-2 of research network 2 of the cluster of excellence IntCDC)

Overview

Background
State of the art
Project goals

Project description

Background

Architecture is of central ecological, economic, social and cultural relevance. Over the next 35 years, urban buildings for an additional 2.6 billion people need to be constructed. One of the key objectives of the Cluster of Excellence is to develop a methodology of “Co-Design” based on interdisciplinary research in architecture, structural engineering, systems engineering, robotics, building physics, computer science and social science. The Cluster will make a significant contribution to providing the prerequisites for a high-quality, liveable and sustainable built environment and a digital building culture.

Wissenschaftlicher Ansatz des "Co-Design"

State of the art

Based on the work of the first subproject with respect to alternative performance indicators of structures, such as imperfection sensitivity and buildability, the developed methods are further refined. With the help of an interactive agent-based modeling and simulation method (ABMS), it is possible to represent structural mechanical properties based on the redundancy matrix within the framework of structural design and to make them available to designers. This allows mechanical properties to be considered in addition to geometric constraints during design.

Project goals

Part of the work within the research project is concerned with the visualization of mechanical properties in early design phases, which are intended to support structural assessment and thus accelerate and improve the design process. A central aspect here is the visualization of results of three-dimensional beam structures.

Optimization based on alternative performance indicators

In addition, a better prediction of the actual structure as well as its properties should be made possible, whereby relevant parameters of the structural response can be identified. The overall objective is to reduce the required partial safety factors in the design and the associated material costs of fiber composite structures.

Project data

Project title:
Computational Co-Design Framework for Fibre Composite Building Systems
(Research project 12-2 of research network 2)
Funding:
German Research Foundation (DFG), Cluster of Excellence EXC 2120 "Integrative Computational Design and Construction for Architecture (IntCDC)", GEPRIS project number 390831618
Project partner:
Institute for Building Structures and Structural Design (ITKE), University of Stuttgart
Institute for Computational Design and Construction (ICD), University of Stuttgart
Visualization Research Center (VISUS), University of Stuttgart
Institute for Textile and Fiber Technologies (ITFT), University of Stuttgart

Publications

Forster, D., von Scheven, M., & Bischoff, M. (2024). Alternative Beurteilung von Tragwerken mit Hilfe der Redundanzmatrix. In B. Oesterle, A. Bögle, W. Weber, & L. Striefler (Eds.), Berichte der Fachtagung Baustatik – Baupraxis 15, 04. und 05. März 2024, Hamburg (pp. 67--74). https://doi.org/10.15480/882.9247
- Abstract
- BibTeX
Abstract
Zur Analyse von Tragwerken ist es in frühen Entwurfsphasen häufig ausreichend, Schnitt- und Verschiebungsgrößen, sowie Spannungen im Rahmen der linearen Elastizitätstheorie zu bestimmen. Eine weitere fundamentale Eigenschaft von Tragwerken ist der Grad der statischen Unbestimmtheit und deren Verteilung innerhalb des Tragwerks. Die Redundanzmatrix liefert diese Information und stellt damit ein lastfallunabhängiges Maß zur Beurteilung von Tragwerken hinsichtlich Robustheit, Assemblierbarkeit und Adaptierbarkeit zur Verfügung.
BibTeX
@inproceedings{forster2024alternative, abstract = {Zur Analyse von Tragwerken ist es in frühen Entwurfsphasen häufig ausreichend, Schnitt- und Verschiebungsgrößen, sowie Spannungen im Rahmen der linearen Elastizitätstheorie zu bestimmen. Eine weitere fundamentale Eigenschaft von Tragwerken ist der Grad der statischen Unbestimmtheit und deren Verteilung innerhalb des Tragwerks. Die Redundanzmatrix liefert diese Information und stellt damit ein lastfallunabhängiges Maß zur Beurteilung von Tragwerken hinsichtlich Robustheit, Assemblierbarkeit und Adaptierbarkeit zur Verfügung.}, author = {Forster, David and von Scheven, Malte and Bischoff, Manfred}, booktitle = {Berichte der Fachtagung Baustatik – Baupraxis 15, 04. und 05. März 2024, Hamburg}, doi = {10.15480/882.9247}, editor = {Oesterle, Bastian and Bögle, Annette and Weber, Wolfgang and Striefler, Lukas}, pages = {67--74}, title = {Alternative Beurteilung von Tragwerken mit Hilfe der Redundanzmatrix}, year = 2024 }
Forster, D., Kannenberg, F., von Scheven, M., Menges, A., & Bischoff, M. (2023). Design and Optimization of Beam and Truss Structures Using Alternative Performance Indicators Based on the Redundancy Matrix. In K. Dörfler, J. Knippers, A. Menges, S. Parascho, H. Pottmann, & T. Wortmann (Eds.), Advances in Architectural Geometry 2023 (pp. 455--466). De Gruyter. https://doi.org/10.1515/9783111162683-034
- Abstract
- BibTeX
Abstract
In structural optimization processes, a common goal is to limit deflectionsor stresses through topological changes, shape adaption or cross-sectional adjust-ments. Beyond these well-established performance indicators, alternative measuresfor the assessment of structures based on the redundancy matrix can be used in thedesign and optimization process. This contribution shows the extension of the redun-dancy calculation to three-dimensional beam structures in detail. Using the conceptof redundancy for the design of structures, one goal is to homogeneously distributeredundancy within a structure in order to make an overall collapse due to failure ofindividual elements less likely. Furthermore, the sensitivity towards imperfections isquantified by the redundancy matrix, offering the opportunity to design connectionsof substructures, such that no constraint forces are introduced during the assemblyprocess. Those two concepts are showcased exemplarily within this contribution. Themethod is embedded into a computational co-design framework, which allows forquick, interactive feedback on design changes to strengthen the interplay between thedesign and engineering process.
BibTeX
@inproceedings{forster2023design, abstract = {In structural optimization processes, a common goal is to limit deflectionsor stresses through topological changes, shape adaption or cross-sectional adjust-ments. Beyond these well-established performance indicators, alternative measuresfor the assessment of structures based on the redundancy matrix can be used in thedesign and optimization process. This contribution shows the extension of the redun-dancy calculation to three-dimensional beam structures in detail. Using the conceptof redundancy for the design of structures, one goal is to homogeneously distributeredundancy within a structure in order to make an overall collapse due to failure ofindividual elements less likely. Furthermore, the sensitivity towards imperfections isquantified by the redundancy matrix, offering the opportunity to design connectionsof substructures, such that no constraint forces are introduced during the assemblyprocess. Those two concepts are showcased exemplarily within this contribution. Themethod is embedded into a computational co-design framework, which allows forquick, interactive feedback on design changes to strengthen the interplay between thedesign and engineering process.}, address = {Berlin, Boston}, author = {Forster, David and Kannenberg, Fabian and von Scheven, Malte and Menges, Achim and Bischoff, Manfred}, booktitle = {Advances in Architectural Geometry 2023}, doi = {10.1515/9783111162683-034}, editor = {Dörfler, Kathrin and Knippers, Jan and Menges, Achim and Parascho, Stefana and Pottmann, Helmut and Wortmann, Thomas}, pages = {455--466}, publisher = {De Gruyter}, title = {Design and Optimization of Beam and Truss Structures Using Alternative Performance Indicators Based on the Redundancy Matrix}, year = 2023 }
Gil Pérez, M., Mindermann, P., Zechmeister, C., Forster, D., Guo, Y., Hügle, S., Kannenberg, F., Balangé, L., Schwieger, V., Middendorf, P., Bischoff, M., Menges, A., Gresser, G. T., & Knippers, J. (2023). Data processing, analysis, and evaluation methods for co-design of coreless filament-wound building systems. Journal of Computational Design and Engineering, 10(4), 1460–1478. https://doi.org/10.1093/jcde/qwad064
- Abstract
- BibTeX
Abstract
The linear design workflow for structural systems, involving a multitude of iterative loops and specialists, obstructs disruptive innovations. During design iterations, vast amounts of data in different reference systems, origins, and significance are generated. This data is often not directly comparable or is not collected at all, which implies a great unused potential for advancements in the process. In this paper, a novel workflow to process and analyze the data sets in a unified reference frame is proposed. From this, differently sophisticated iteration loops can be derived. The developed methods are presented within a case study using coreless filament winding as an exemplary fabrication process within an architectural context. This additive manufacturing process, using fiber-reinforced plastics, exhibits great potential for efficient structures when its intrinsic parameter variations can be minimized. The presented method aims to make data sets comparable by identifying the steps each data set needs to undergo (acquisition, pre-processing, mapping, post-processing, analysis, and evaluation). These processes are imperative to provide the means to find domain interrelations, which in the future can provide quantitative results that will help to inform the design process, making it more reliable, and allowing for the reduction of safety factors. The results of the case study demonstrate the data set processes, proving the necessity of these methods for the comprehensive inter-domain data comparison.
BibTeX
@article{gilperez2023processing, abstract = {The linear design workflow for structural systems, involving a multitude of iterative loops and specialists, obstructs disruptive innovations. During design iterations, vast amounts of data in different reference systems, origins, and significance are generated. This data is often not directly comparable or is not collected at all, which implies a great unused potential for advancements in the process. In this paper, a novel workflow to process and analyze the data sets in a unified reference frame is proposed. From this, differently sophisticated iteration loops can be derived. The developed methods are presented within a case study using coreless filament winding as an exemplary fabrication process within an architectural context. This additive manufacturing process, using fiber-reinforced plastics, exhibits great potential for efficient structures when its intrinsic parameter variations can be minimized. The presented method aims to make data sets comparable by identifying the steps each data set needs to undergo (acquisition, pre-processing, mapping, post-processing, analysis, and evaluation). These processes are imperative to provide the means to find domain interrelations, which in the future can provide quantitative results that will help to inform the design process, making it more reliable, and allowing for the reduction of safety factors. The results of the case study demonstrate the data set processes, proving the necessity of these methods for the comprehensive inter-domain data comparison.}, author = {Gil Pérez, Marta and Mindermann, Pascal and Zechmeister, Christoph and Forster, David and Guo, Yanan and Hügle, Sebastian and Kannenberg, Fabian and Balangé, Laura and Schwieger, Volker and Middendorf, Peter and Bischoff, Manfred and Menges, Achim and Gresser, Götz T and Knippers, Jan}, doi = {10.1093/jcde/qwad064}, journal = {Journal of Computational Design and Engineering}, number = 4, pages = {1460–1478}, title = {Data processing, analysis, and evaluation methods for co-design of coreless filament-wound building systems}, volume = 10, year = 2023 }
Gil Pérez, M., Zechmeister, C., Kannenberg, F., Mindermann, P., Balangé, L., Guo, Y., Hügle, S., Gienger, A., Forster, D., Bischoff, M., Tarín, C., Middendorf, P., Schwieger, V., Gresser, G. T., Menges, A., & Knippers, J. (2022). Computational co-design framework for coreless wound fibre–polymer composite structures. Journal of Computational Design and Engineering, 9(2), 310--329. https://doi.org/10.1093/jcde/qwab081
- Abstract
- BibTeX
Abstract
In coreless filament winding, resin-impregnated fibre filaments are wound around anchor points without an additional mould. The final geometry of the produced part results from the interaction of fibres in space and is initially undetermined. Therefore, the success of large-scale coreless wound fibre composite structures for architectural applications relies on the reciprocal collaboration of simulation, fabrication, quality evaluation, and data integration domains. The correlation of data from those domains enables the optimization of the design towards ideal performance and material efficiency. This paper elaborates on a computational co-design framework to enable new modes of collaboration for coreless wound fibre–polymer composite structures. It introduces the use of a shared object model acting as a central data repository that facilitates interdisciplinary data exchange and the investigation of correlations between domains. The application of the developed computational co-design framework is demonstrated in a case study in which the data are successfully mapped, linked, and analysed across the different fields of expertise. The results showcase the framework’s potential to gain a deeper understanding of large-scale coreless wound filament structures and their fabrication and geometrical implications for design optimization.
BibTeX
@article{gilperez2022computational, abstract = {In coreless filament winding, resin-impregnated fibre filaments are wound around anchor points without an additional mould. The final geometry of the produced part results from the interaction of fibres in space and is initially undetermined. Therefore, the success of large-scale coreless wound fibre composite structures for architectural applications relies on the reciprocal collaboration of simulation, fabrication, quality evaluation, and data integration domains. The correlation of data from those domains enables the optimization of the design towards ideal performance and material efficiency. This paper elaborates on a computational co-design framework to enable new modes of collaboration for coreless wound fibre–polymer composite structures. It introduces the use of a shared object model acting as a central data repository that facilitates interdisciplinary data exchange and the investigation of correlations between domains. The application of the developed computational co-design framework is demonstrated in a case study in which the data are successfully mapped, linked, and analysed across the different fields of expertise. The results showcase the framework’s potential to gain a deeper understanding of large-scale coreless wound filament structures and their fabrication and geometrical implications for design optimization.}, author = {Gil Pérez, Marta and Zechmeister, Christoph and Kannenberg, Fabian and Mindermann, P. and Balangé, L. and Guo, Yanan and Hügle, S. and Gienger, Andreas and Forster, David and Bischoff, Manfred and Tarín, C. and Middendorf, Peter and Schwieger, Volker and Gresser, Götz T. and Menges, Achim and Knippers, Jan}, doi = {10.1093/jcde/qwab081}, journal = {Journal of Computational Design and Engineering}, language = {eng}, month = {04}, number = 2, pages = {310--329}, title = {Computational co-design framework for coreless wound fibre–polymer composite structures}, volume = 9, year = 2022 }
Oesterle, B., Geiger, F., Forster, D., Fröhlich, M., & Bischoff, M. (2022). A study on the approximation power of NURBS and the significance of exact geometry in isogeometric pre-buckling analyses of shells. Computer Methods in Applied Mechanics and Engineering, 397(115144), Article 115144. https://doi.org/10.1016/j.cma.2022.115144
- Abstract
- BibTeX
Abstract
We present a comprehensive study on the approximation power of NURBS and the significance of exact geometry in stability analyses of shells. Pre-buckling analyses are carried out to estimate the critical load levels and the initial buckling patterns. Various finite element solutions obtained with the commercial code ANSYS are compared with solutions from the isogeometric version of the finite element method, using our in-house code NumPro. In some problem setups, the isogeometric shell elements provide superior accuracy compared to standard (as opposed to isogeometric) shell finite elements, requiring only a fractional amount of degrees of freedom for the same level of accuracy. The present study systematically investigates the sources of this superior accuracy of the isogeometric approach. In particular, hypotheses are tested concerning the influence of exact geometry and smoothness of splines.
BibTeX
@article{oesterle2022study, abstract = {We present a comprehensive study on the approximation power of NURBS and the significance of exact geometry in stability analyses of shells. Pre-buckling analyses are carried out to estimate the critical load levels and the initial buckling patterns. Various finite element solutions obtained with the commercial code ANSYS are compared with solutions from the isogeometric version of the finite element method, using our in-house code NumPro. In some problem setups, the isogeometric shell elements provide superior accuracy compared to standard (as opposed to isogeometric) shell finite elements, requiring only a fractional amount of degrees of freedom for the same level of accuracy. The present study systematically investigates the sources of this superior accuracy of the isogeometric approach. In particular, hypotheses are tested concerning the influence of exact geometry and smoothness of splines.}, author = {Oesterle, Bastian and Geiger, Florian and Forster, David and Fröhlich, Manuel and Bischoff, Manfred}, doi = {10.1016/j.cma.2022.115144}, journal = {Computer Methods in Applied Mechanics and Engineering}, number = 115144, title = {A study on the approximation power of NURBS and the significance of exact geometry in isogeometric pre-buckling analyses of shells}, volume = 397, year = 2022 }

Researcher

Computational co-design framework for fibre composite building systems

Overview

Project description

Background

State of the art

Project goals

Project data

Publications

Abstract

BibTeX

Abstract

BibTeX

Abstract

BibTeX

Abstract

BibTeX

Abstract

BibTeX

Researcher

David Forster

Nicolai Grünvogel

Malte von Scheven

Audience

Formalities

Services

Organization

Computational co-design framework for fibre composite building systems

Overview

Project description

Background

State of the art

Project goals

Project data

Publications

Abstract

BibTeX

Abstract

BibTeX

Abstract

BibTeX

Abstract

BibTeX

Abstract

BibTeX

Researcher

David Forster

Nicolai Grünvogel

Malte von Scheven

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Audience

Formalities

Services

Organization