Record link: 
http://hdl.handle.net/20.500.12708/231325
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Title: 
Unravelling Microstructural Stiffness Relationship in Softwood via AI-Assisted Hybrid Analytical-Numerical Multiscale Homogenization
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Citation: 
Thirion, A., Königsberger, M., Pech, S., & Füssl, J. (2026, July). Unravelling Microstructural Stiffness Relationship in Softwood via AI-Assisted Hybrid Analytical-Numerical Multiscale Homogenization [Conference Presentation]. 17th World Congress on Computational Mechanics & 10th European Congress on Computational Methods in Applied Sciences and Engineering (WCCM-ECCOMAS 2026), Munich, Germany.
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Publication Type: 
Presentation - Conference Presentation
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Language: 
English
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Authors: 
Thirion, Arthur 
Königsberger, Markus 
Pech, Sebastian 
Füssl, Josef 
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Organisational Unit: 
E202-02 - Forschungsbereich Struktursimulation und Ingenieurholzbau 
E056-02 - Fachbereich Computational Design (DC:CD) 
E057-16 - Fachbereich Center for Geometry and Computational Design 
E056-28 - Fachbereich Computational Sustainability 
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Date (published): 
Jul-2026
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Event name: 
17th World Congress on Computational Mechanics & 10th European Congress on Computational Methods in Applied Sciences and Engineering (WCCM-ECCOMAS 2026) 
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Event date: 
19-Jul-2026 - 24-Jul-2026
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Event place: 
Munich, Germany
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Keywords: 
Softwood; Microstructural Stiffness
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Research Areas: 
Modeling and Simulation: 33%
Computational Materials Science: 34%
Structure-Property Relationsship: 33%
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Science Branch: 
2011 - Bauingenieurwesen: 50%
2050 - Werkstofftechnik: 50%
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