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PARAMETRIC ARCHITECTURE From Context and Livability Challenges to Optimization Complexity

Title:

PARAMETRIC ARCHITECTURE From Context and Livability Challenges to Optimization Complexity

Hazbei, Morteza ORCID: https://orcid.org/0000-0001-5436-3833 (2023) PARAMETRIC ARCHITECTURE From Context and Livability Challenges to Optimization Complexity. PhD thesis, Concordia University.

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Abstract

In architecture and urban design, computer instruments have revolutionized how architectural drawings are produced and how buildings are visualized, optimized, assessed, and constructed. These tools have gained popularity because they allow architects to design forms that were not conceivable before and lead to an approach named Parametricism. However, this paradigm shift comes with two major consequences: First, there is an epistemological dilemma on how parametric architecture addresses qualitative parameters since it is highly dependent on quantitative and context-free standards. Second, the seductive forms designed with parametric tools often exhibit excessive complexity. This complexity exceeds the capabilities of regular simulation and optimization tools, leading to high computational costs. Therefore, this interdisciplinary research aims to produce a framework to incorporate contextual and livability factors in parametric architecture, propose a method to decrease computational optimization cost of parametrically designed forms, and reflect on how these forms can address contextual and livability concerns. Based on these three overarching objectives, this manuscript will be distributed across three sections. First, the consequences of over parametricism will be explored and discussed. Despite its automations and spectacular outcomes, it still fails to sensitively address aspects of locality, culture, and sustainability. Second, the shortcomings of parametric architecture in addressing qualitative factors will be discussed. Pure quantitative metrics and indexes do not adequately reflect aspects such as culture, history, and aesthetics. To overcome this limitation, the section will propose an innovative approach that incorporates qualitative factors into the parametric design process. Third, the research proposes a method to optimize parametrically designed complex facades such as louver and patterns regarding energy and visual comfort by integrating parametric tools and Non-Dominated Sorting Genetic Algorithm (NSGA-II). Furthermore, this research will bridge the gap between qualitative concerns and quantitative parameters by investigating how small-scale façade optimization can improve broader contextual considerations, urban livability, and overall sustainable architecture. Overall, the research contributes to the field of architecture and urban design by paving the way to implement quality in parametric design and ensure sustainability in the built environment. It also contributes to the building engineering domain by providing a workflow for optimizing complex façade forms.

Divisions:Concordia University > School of Graduate Studies > Individualized Program
Item Type:Thesis (PhD)
Authors:Hazbei, Morteza
Institution:Concordia University
Degree Name:Ph. D.
Program:Individualized Program
Date:14 July 2023
Thesis Supervisor(s):Cucuzzella, Carmela
Keywords:Parametric architecture, Context, Optimization, Evolutionary algorithm, Livability, Sustainability
ID Code:992987
Deposited By: Morteza Hazbei
Deposited On:16 Nov 2023 17:51
Last Modified:17 Jul 2024 14:33

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