Parametric Analysis versus Intuition Assessment of the effectiveness of design expertise

Bernal, Marcelo; Marshall, Tyrone; Okhoya, Victor; Chen, Cheney; Haymaker, John

doi:10.5151/proceedings-ecaadesigradi2019_110

Cited by 2 publications

(2 citation statements)

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“…Vast populations of alternatives are evaluated producing abundant data for each design. Sensitivity analysis has been used to correlate inputs and outputs a d help to de i e priorities (Bernal et al, 2019). In turn, parametric analysis applied in different areas with different analytical models (i.e.…”

Section: Ana I -From Simulation To Re I Tionmentioning

confidence: 99%

Evolution and Projection of Computational Design Theories: Generation, Analysis, Selection and Fabrication

Álvarez¹,

Bernal²,

Cáceres³

2020

Blucher Design Proceedings

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We can identify a milestone in computational design theories in the intersection between paradigms derived from theories of complexity and technological developments in the early 90's. These theories provided the l foundation to build interpretation of the potential of the technology by adopting a language based on complexity to frame processes of generation, analysis, selection and manufacturing. To better understand the roots and direction of computational design theories, this study makes an in-depth literature review of four vectors involved in the formation of current dominant theoretical and technical approaches: theories of complexity, technological developments, professional practice and academia. The information collected is organized in chronological order in parallel timelines to facilitate readings exposing the intersections and synergies. The results show the emergence of theoretical approaches based on the convergence of theories and technologies, proof of concept in professional practice and consolidation in academia.

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Section: Ana I -From Simulation To Re I Tionmentioning

confidence: 99%

Evolution and Projection of Computational Design Theories: Generation, Analysis, Selection and Fabrication

Álvarez¹,

Bernal²,

Cáceres³

2020

Blucher Design Proceedings

Self Cite

View full text Add to dashboard Cite

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“…While the designer’s experience and tacit knowledge are valuable in identifying aspects of design problems and solutions, they may remain limited when working with multi-criteria problems with complex and often conflicting objectives. 25 Today’s computational tools allow for incorporating performance analysis in the early phases of design. 26 Designers use parametric or non-parametric design tools with analysis tools, such as EnergyPlus, 27 Radiance 28,29 and OpenStudio.…”

Section: Introductionmentioning

confidence: 99%

D-ART for collaboration in evaluating design alternatives

Alsalman

Erhan

2022

International Journal of Architectural Computing

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Evaluating design ideas is an integral part of designing built environments. It involves multiple stakeholders with diverse backgrounds reviewing design solutions by studying their form and performance data. Although there are computational systems for supporting evaluation tasks, they are either highly specialised for designers or configured for a particular workflow with limited functions. We developed a Design Analytics method aiming at a collaborative and data-driven evaluation of alternatives in the design-evaluate-feedback cycle. Adopting this approach, we introduce D-ART as a prototype system composed of customisable Web interfaces for presenting design alternatives, enabling stakeholders to participate in data-informed discourse on alternatives and providing feedback to the design team. Its system design considers requirements gathered through literature review, critical analysis of the existing systems and collaboration with our industry partners. Finally, we assessed D-ART’s design through an expert review evaluation, which generally reported positive results on the system’s goals.

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Parametric Analysis versus Intuition Assessment of the effectiveness of design expertise

Cited by 2 publications

References 0 publications

Evolution and Projection of Computational Design Theories: Generation, Analysis, Selection and Fabrication

Evolution and Projection of Computational Design Theories: Generation, Analysis, Selection and Fabrication

D-ART for collaboration in evaluating design alternatives

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