Methods for the Prediction and Specification of Functionally Graded Multi-Grain Responsive Timber Composites Vasiliki Fragkia 1 , Isak Worre Foged 2 1,2 Aalborg University 1,2 {vafr|iwfo}@create.aau.dk The paper presents design-integrated methods for high-resolution specification and prediction of functionally graded wood-based thermal responsive composites, using machine learning. The objective is the development of new circular design workflow, employing robotic fabrication, in order to predict fabrication files linked to material performance and design requirements, focused on application for intrinsic responsive and adaptive architectural surfaces. Through an experimental case study, the paper explores how machine learning can form a predictive design framework where low-resolution data can solve material systems at high resolution. The experimental computational and prototyping studies show that the presented image-based machine learning method can be adopted and adapted across various stages and scales of architectural design and fabrication. This in turn allows for a design-per-requirement approach that optimizes material distribution and promotes material economy. Keywords: material specification, responsive timber composites, machine learning, robotic fabrication, building envelopes INTRODUCTION The cost-intensive and high mechanical complexity nature of the adaptive building envelopes of the past years, shifted the designer’s interest towards exergy- based (Valero et al, 2010) active material systems. However, current studies (Holstov et al, 2017; Foged and Pasold, 2015, 2016; Wood et al, 2018) focusing on the architectural application of wood-based re- sponsive systems, rely mostly on one material’s phase characteristics. This in turn shows few limitations re- garding the upscale of the system’s performance, the steering of the highly anisotropic behavior of wood, as well as the prediction of the material’s fatigue af- ter several activation cycles and its implementation into the design process. These challenges incite re- search into new material practices that deploy dif- ferentiated properties, and enable response to vary- ing design criteria, within one and the same mate- rial structure (Miyamoto et al, 1999). This shift from understanding the materials not as inert receptacles for an imposed form but rather as active agents in its genesis (DeLanda, 2004), positions the making of functionally graded materials (FGM) for site and use specific architectural applications, as central means of design material thinking. Equally concerned at the scale of material, the element and the structure, the D2.T9.S2. CULTURE / SHIFT THROUGH UBIQUITOUS COMPUTING/ SCRIPTING AND LINGUA FRANCA - Volume 2 - eCAADe 38 | 585
Methods for the Prediction and Specification of Functionally Graded Multi-Grain Responsive Timber Composites
May 29, 2023
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