Material-based computational design (MCD) in sustainable architecture

Yazıcı, Sevil; Tanaçan, Leyla

doi:10.1016/j.jobe.2020.101543

Cited by 17 publications

(8 citation statements)

References 18 publications

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“…Parametric design is the most utilized technique individually (Chen and Lu, 2018) and in combination with other methods and technologies (Agustí-Juan and Habert, 2017). Within the IB realm, these methods have been mostly used for material fabrication (Agustí-Juan and Habert, 2017, Mayencourt and Mueller, 2020, Yazici and Tanacan, 2020 and DFMA (Chen and Lu, 2018). The limited number papers within IB suggests that the opportunities within CD to promote sustainability are currently under studied.…”

Section: Resultsmentioning

confidence: 99%

A proposed conceptual framework for Computational Design Sustainability in Industrialized Building

Soltani¹,

Bunster

Maxwell

2022

mocs

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The construction industry has benefited from the recent methodological advancements in Computational Design (CD) and its associated technological developments. However, the multifaceted challenges faced by the construction industry have limited its capacity to achieve global sustainability goals. In this context, Industrialized Building (IB) has opened new avenues to take advantage of technology while promoting the incorporation of sustainability principles to mainstream construction problems. Despite its great potential, the literature in this area is fragmented, and the relationship between various aspects of these topics is not fully understood. This paper aims to bring awareness to the potential integration of IB and CD in promoting sustainability, thereby advancing the understanding of the topic by proposing this integration for future investigations and unravelling their relationships and underpinning ideas. The critical discussion presented in this paper proposes a common ground on which to build new knowledge in seeking to disclose conceptual patterns and links instead of specific causal mechanisms. We propose that this integration paves the way for creating a trade-off structure to manage these multifaceted and complex factors through "satisficing" – finding the satisfactory solutions rather than the optimized ones – the design, operation and delivery of a building project (and its construction value chain) in a more sustainable way.

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Section: Resultsmentioning

confidence: 99%

A proposed conceptual framework for Computational Design Sustainability in Industrialized Building

Soltani¹,

Bunster

Maxwell

2022

mocs

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“…Precedent research on “digital materiality” suggests that it is crucial to evaluate surface performance in the computational design processes based on multiple factors to support the decision making in the selection and planning processes (Yazici & Tanacan, 2020). Considering this necessity, algorithmic rules of materiality resilience based on discrete but related critical performance data requires the construction of a set of conjunctive system of rules that can be evaluated mathematically.…”

Section: Antecedent Methodologiesmentioning

confidence: 99%

A Computational Approach to Estimating Healthcare Contact Surface Material Resilience

Platt

Chen

2022

HERD

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There is growing evidence that contact surfaces within healthcare settings can serve as reservoirs for pathogen colonization and spread infectious bacteria to humans. This article aims to demonstrate the use of a Prevention through Design Environment Material Integrative Control (PtD-EMIC) instrument to predict the infection prevention resilience potential of materials commonly used for healthcare contact surfaces. PtD-EMIC is based on fuzzy logic and Adaptive Neural Fuzzy Inference System architecture. Its objective is to serve as a computational design tool that guides the selection and specification of interior materials that may moderate the spread of pathogens in healthcare environments. This objective is accomplished through an applied systems requirement simulation framework that can help guide interior material choice and design for healthcare spaces. The motivation for developing this instrument is to provide a vehicle that can expand healthcare design industry capabilities and interior environment analysis research by using computational approaches to inform interior material selection and design decisions that support healthcare environments’ infection control strategies. The selection and sourcing of embedded data related to relevant and high-use acute care treatment area finishes, the premise of instrument use, precedent research basis, and system architecture, as well as tool validation and demonstration of use, are all discussed. The text explains how using this instrument can facilitate categorization and leveraging interior material performance outcome data for informing safety-critical healthcare design.

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“…Concepts of "digital materiality" and "material-based computation" have been recently incorporated into computational design. Within this mindset, parameters, rules, constraints and relations pertaining to material behavior and properties are captured with the purpose of informing the algorithmic thinking process (Gramazio and Kohler, 2008;Kolarevic and Klinger, 2008;Menges, 2016;Oxman, 2010;Yazici, 2011Yazici, , 2019Yazici and Tanacan, 2020). Digital materiality (Gramazio and Kohler, 2008) was incorporated in the architectural realm with specific focus on the close coupling between the digital and the material; an approach that addresses the combined understanding of structure, material and form in an experimental framework of form generation and fabrication (Menges, 2016;Oxman, 2012).…”

Section: Relevant Workmentioning

confidence: 99%

A material-based computation framework for parametric design education

Abdelmohsen

Massoud

2021

OHI

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PurposeMaterial-based computation has been recently introduced in architectural education, where parameters and rules related to materials are integrated into algorithmic thinking. The authors aim to identify affordances of material-based computation in terms of supporting the understanding of parametric design, informing the process of parametric form finding in an educational setup and augmenting student learning outcomes.Design/methodology/approachThe authors propose a material-informed holistic systems design framework for parametric form finding. The authors develop a pedagogical approach that employs material-based computation focusing on the interplay between the physical and the digital in a parametrically driven façade design exercise. The approach comprises two phases: (1) enabling physical exploration with different materials to arrive at the design logic of a panel prototype and (2) deducing embedded and controlled parameters, based on the interplay of materials and deriving strategies for pattern propagation of the panel on a façade composition using variation and complexity.FindingsThe results confirmed the initial hypothesis, where the more explicit the material exploration and identification of physical rules and relations, the more nuanced the parametrically driven process, where students expressed a clear goal oriented generative logic and utilized parametric design to inform form finding as a bottom-up approach.Originality/valueMost precedent approaches developed to teach parametric design concepts in architectural education have focused on universal strategies that often result in fixating students on following standard blindly followed scripts and procedures, thus defying the purpose of a bottom-up form finding framework. The approach expands the pedagogical strategies employed to address parametric design as a form finding process.

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Material-based computational design (MCD) in sustainable architecture

Cited by 17 publications

References 18 publications

A proposed conceptual framework for Computational Design Sustainability in Industrialized Building

A proposed conceptual framework for Computational Design Sustainability in Industrialized Building

A Computational Approach to Estimating Healthcare Contact Surface Material Resilience

A material-based computation framework for parametric design education

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