Visualization Techniques and Computational Design Strategies: Reflecting on the Milieu and Agency of Digital Tools in 1990s Architecture

2017 ◽  
pp. 157-176
Author(s):  
Nathalie Bredella
Keyword(s):  
Computational Design ◽  
Digital Tools ◽  
Design Strategies ◽  
Visualization Techniques

scholarly journals Understanding Computational Methods for Solar Envelopes Based on Design Parameters, Tools, and Case Studies: A Review

Energies ◽  
2020 ◽  
Vol 13 (13) ◽  
pp. 3302 ◽  
Author(s):  
Miktha Farid Alkadri ◽  
Francesco De Luca ◽  
Michela Turrin ◽  
Sevil Sariyildiz
Keyword(s):  
Case Studies ◽  
Urban Areas ◽  
Urban Infrastructure ◽  
Digital Tools ◽  
Design Stage ◽  
Design Parameters ◽  
Design Strategies ◽  
The Past ◽  
Local Contexts ◽  
Urban Heat

The increasing population density in urban areas simultaneously impacts the trend of energy consumption in building sectors and the urban heat island (UHI) effects of urban infrastructure. Accordingly, passive design strategies to create sustainable buildings play a major role in addressing these issues, while solar envelopes prove to be a relevant concept that specifically considers the environmental performance aspects of a proposed building given their local contexts. As significant advances have been made over the past decades regarding the development and implementation of computational solar envelopes, this study presents a comprehensive review of solar envelopes while specifically taking into account design parameters, digital tools, and the implementation of case studies in various contextual settings. This extensive review is conducted in several stages. First, an investigation of the scope and procedural steps of the review is conducted to frame the boundary of the topic to be analyzed within the conceptual framework of solar envelopes. Second, comparative analyses between categorized design methods in parallel with a database of design parameters are conducted, followed by an in-depth discussion of the criteria for the digital tools and case studies extracted from the selected references. Third, knowledge gaps are identified, and the future development of solar envelopes is discussed to complete the review. This study ultimately provides an inclusive understanding for designers and architects regarding the progressive methods of the development of solar envelopes during the conceptual design stage.

Transferring Design Strategies From Human to Computer and Across Design Problems

2019 ◽  
Vol 141 (11) ◽  
Author(s):  
Ayush Raina ◽  
Jonathan Cagan ◽  
Christopher McComb
Keyword(s):  
Computational Design ◽  
Configuration Design ◽  
Probabilistic Representation ◽  
Design Strategies ◽  
Design Problems ◽  
Agent Based ◽  
High Performing ◽  
Transfer Strategies ◽  
Human Problem ◽  
Over Time

Abstract Solving any design problem involves planning and strategizing, where intermediate processes are identified and then sequenced. This is an abstract skill that designers learn over time and then use across similar problems. However, this transfer of strategies in design has not been effectively modeled or leveraged within computational agents. This note presents an approach to represent design strategies using a probabilistic model. The model provides a mechanism to generate new designs based on certain design strategies while solving configuration design task in a sequential manner. This work also demonstrates that this probabilistic representation can be used to transfer strategies from human designers to computational design agents in a way that is general and useful. This transfer-driven approach opens up the possibility of identifying high-performing behavior in human designers and using it to guide computational design agents. Finally, a quintessential behavior of transfer learning is illustrated by agents as transferring design strategies across different problems led to an improvement in agent performance. The work presented in this study leverages the Cognitively Inspired Simulated Annealing Teams (CISAT) framework, an agent-based model that has been shown to mimic human problem-solving in configuration design problems.

scholarly journals A Study of Bio-Computational Design in Terms of Enhancing Water Absorption by Method of Bionics Within the Architectural Fields

2021 ◽  
pp. 102-113
Author(s):  
Gang Mao
Keyword(s):  
Water Absorption ◽  
Environmental Conditions ◽  
Three Dimensional ◽  
Computational Design ◽  
Computational Studies ◽  
Biological Processes ◽  
Design Strategies ◽  
Capillary Action ◽  
3D Print ◽  
Material Conditions

AbstractThis essay aims to explore an architecture computational design intended to accept and absorb moisture through geometrical and material conditions, and using design strategies, help deliver this moisture upwards through capillary action to areas of cryptogamic growth including mosses and smaller ferns on the surface of architecture. The purpose of this research project is to explore the morphology of general capillary systems based on research into the principle of xylematic structures in trees, thereby creating a range of capillary designs using three types of material: plaster, 3D print plastic, and concrete. In addition, computational studies are used to examine various types of computational designs of organic structures, such as columns, driven by physical and environmental conditions such as sunshine, shade, tides and other biological processes to explore three-dimensional particle-based branching systems that define both structural and water delivery paths.

Design of fixed wing micro air vehicles

2007 ◽  
Vol 111 (1119) ◽  
pp. 315-326 ◽  
Author(s):  
P. Cosyn ◽  
J. Vierendeels
Keyword(s):  
Design Method ◽  
Three Dimensional ◽  
Micro Air Vehicles ◽  
Computational Design ◽  
Small Scale ◽  
Design Strategies ◽  
Lattice Method ◽  
Reynolds Number Flow ◽  
Multidisciplinary Design Optimisation ◽  
Air Vehicles

Abstract The paper describes the methodology and computational design strategies used to develop a series of fixed wing micro air vehicles (MAVs) at the Ghent University. The emphasis of the research is to find an optimal MAV-platform that is bound to geometrical constraints but superior in its performance. This requires a multidisciplinary design optimisation but the challenges are mainly of aerodynamic nature. Key areas are endurance, stability, controllability, manoeuvrability and component integration. The highly three-dimensional low Reynolds number flow, the lack of experimental databases and analytical or empirical models of MAV-aerodynamics required fundamental research of the phenomena. This includes the use of a vortex lattice method, three-dimensional CFD-computations and a numerical propeller optimisation method to derive the forces and their derivatives of the MAV and propeller for performance and stability-related optimisation studies. The design method leads to a simple, stable and robust flying wing MAV-platform that has the agility of a fighter airplane. A prototype, the UGMAV25, was constructed and flight tests were performed. The capabilities of the MAV were tested in a series of successful flight manoeuvres. The UGMAV15, a MAV with a span of 15cm, is also developed to test flight-qualities and endurance at this small scale. With the current battery technology, a flight-time of at least one hour is expected.

scholarly journals Vitrine-Gothic: A Secular Revival Of The Gothic

2021 ◽  
Author(s):  
◽  
Reilly Bell
Keyword(s):  
Modern Society ◽  
Computational Design ◽  
Digital Tools ◽  
User Requirements ◽  
Architectural Style ◽  
Traditional Architecture ◽  
Gothic Architecture ◽  
Cultural Relevancy ◽  
Secular Society ◽  
Religious Revivals

<p><b>Gothic for a time was the architectural style that represented all of Western civilization, in subsequent centuries it has been reasserted as the Western style in periods of cultural, national, and religious revivals. The thesis identifies the current societal conditions as conducive to potentially another such revival, this is the niche the thesis explored architecturally. To consider Gothic architecture in the context of modern secular society, using fractal based computational design to realize this ‘new secular Gothic’, a ‘Vitrine-Gothic’.</b></p> <p>The concept of a Vitrine-Gothic was explored through the development of tool sets and design processes, experimenting with the best methods for integrating fractals as a secular substitute for traditional Gothic symbolism. The tools aimed for maximal adaptability, and design control, which were tested by how well they responded to a range of secular user requirements derived from spiritual concepts. Demonstrated architecturally in the creation of experimental pavilion’s, illustrating the validity of the developed tools, and the cultural relevancy of the architectural results in aesthetic, and functional terms.</p> <p>The research suggests that there is an opportunity for merging digital tools with traditional architecture, to re-examine the fundamentals of traditional architecture in terms of aesthetics, function, symbolism, etc, in relation to the cultural and technological realities of modern society. Thus producing architectural results with greater cultural relevancy.</p>

scholarly journals Why Conventional Design Rules for C–H Activation Fail for Open-Shell Transition-Metal Catalysts

2020 ◽  
Author(s):  
Aditya Nandy ◽  
Heather Kulik
Keyword(s):  
Transition Metal ◽  
High Throughput Screening ◽  
Computational Design ◽  
Design Principles ◽  
Open Shell ◽  
Catalyst Design ◽  
Transition Metal Catalysts ◽  
Oxidation States ◽  
Ligand Field ◽  
Design Strategies

The design of selective and active C–H activation catalysts for direct methane-to-methanol conversion is challenging. Bioinspired complexes that form high valent metal-oxo intermediates capable of hydrogen abstraction and rebound hydroxylation are promising candidates. This promise has made them a target for computational high-throughput screening, typically simplified through the use of linear free energy relationships (LFERs). However, their mid-row transition-metal centers have numerous accessible spin and oxidation states that increase the combinatorial scale of design efforts. Here, we carry out a computational design screen of over 2,500 mid-row 3<i>d</i> transition-metal complexes with four metals in numerous spin and oxidation states. We demonstrate the importance of spin/oxidation state in dictating design principles, limiting the generalization of strategies derived for widely studied high-spin Fe(II) catalysts to other metals or spin/oxidation states. Combined assessment of the effect of ligand field tuning on reaction step energetics and on the identity of the ground state allows us to propose refined design strategies for spin-allowed methane-to-methanol catalysis. We observed weak coupling of energetics and design principles between reaction steps (e.g., oxo-formation vs methanol release), meaning that LFERs do not generalize across our larger catalyst set. To rationalize relative reactivity in known catalysts, we instead compute independent reaction energies and propose strategies for further improvements in catalyst design.

scholarly journals Design Strategy Transfer in Cognitively-Inspired Agents

2018 ◽  
Author(s):  
Christopher McComb ◽  
Jonathan Cagan ◽  
Ayush Raina
Keyword(s):  
Probabilistic Model ◽  
Computational Design ◽  
Design Strategy ◽  
Configuration Design ◽  
Design Strategies ◽  
Computational Framework ◽  
Design Problems ◽  
High Performing ◽  
Transfer Strategies ◽  
Strategy Transfer

Planning and strategizing are essential parts of the design process and are based on the designer’s skill. Further, planningis an abstract skill that can be transferred between similar problems. However, planning and strategy transfer within design have not been effectively modeled within computational agents. This paper presents an approach to represent this strategizing behavior using a probabilistic model. This model is employed to select the operations that computational agents should perform while solving configuration design tasks. This work also demonstrates that this probabilistic model can be used to transfer strategies from human data to computational agents ina way that is general and useful. This study shows a successful • transfer of design strategy from human-to-computer agents, opening up the possibility of deriving high-performing behavior from designers and using it to guide computational design agents. Finally, a quintessential behavior of transfer learning is illustrated by agents while transferring design strategies across different problems, improving agent performance significantly. The work presented in this study leverages a computational framework built by embedding cognitive characteristics into agents, which has shown to mimic human problem-solving in configuration design problems.

scholarly journals Design Strategy Transfer in Cognitively-Inspired Agents

2018 ◽  
Author(s):  
Ayush Raina ◽  
Christopher McComb ◽  
Jonathan Cagan
Keyword(s):  
Probabilistic Model ◽  
Computational Design ◽  
Design Strategy ◽  
Configuration Design ◽  
Design Strategies ◽  
Computational Framework ◽  
Design Problems ◽  
High Performing ◽  
Transfer Strategies ◽  
Strategy Transfer

Planning and strategizing are essential parts of the design process and are based on the designer’s skill. Further, planning is an abstract skill that can be transferred between similar problems. However, planning and strategy transfer within design have not been effectively modeled within computational agents. This paper presents an approach to represent this strategizing behavior using a probabilistic model. This model is employed to select the operations that computational agents should perform while solving configuration design tasks. This work also demonstrates that this probabilistic model can be used to transfer strategies from human data to computational agents in a way that is general and useful. This study shows a successful transfer of design strategy from human-to-computer agents, opening up the possibility of deriving high-performing behavior from designers and using it to guide computational design agents. Finally, a quintessential behavior of transfer learning is illustrated by agents while transferring design strategies across different problems, improving agent performance significantly. The work presented in this study leverages a computational framework built by embedding cognitive characteristics into agents, which has shown to mimic human problem-solving in configuration design problems.

The reestablishment of Mosul's city fabric: an approach to computational hybridization

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mostafa Alani ◽  
Akel Ismail Kahera
Keyword(s):  
Genetic Algorithm ◽  
Large Scale ◽  
Spatial Configuration ◽  
Phase 1 ◽  
Computational Design ◽  
Design Criteria ◽  
Design Strategies ◽  
Reconstruction Process ◽  
Content Type ◽  
Computational Synthesis

PurposeThis paper aims out to analyze the confluence of spatial analysis and computational design strategies to support the reestablishment of Mosul's city housing fabric. According to a UN-Habitat report, Mosul suffered from catastrophic losses on an urban scale, resulting in a housing crisis that requires a large-scale response. However, the need for immediate shelters might lead to a rapid, uninformed reconstruction process, causing the loss of the architectural identity that the city accumulated over the years.Design/methodology/approachThe study utilizes a two-phase sequential research method. In Phase 1, the study applies space syntax techniques to transform the floor plans of the collected traditional and contemporary houses into “quantifiable data.” This phase aims to identify design criteria that capture the “spatial configuration” of both types of houses. In the subsequent phase, the study utilizes the identified design criteria to develop a genetic algorithm inspired by traditional and contemporary practice that facilitates an informed design process.FindingsThe outcome of the study indicates that informed computational synthesis can assist in generating multiplicities floor plan layouts that mimic the inner spatial configuration of existing traditional courtyard houses and contemporary noncourtyard houses. In addition, the developed genetic algorithm was able to generate hybridized design solutions that have been spatially validated.Originality/valueThe study concludes with observations linking informed computational synthesis to the postwar construction process as a remedial methodology to analyze and redesign Mosul's city fabric in an informed, affordable and accessible fashion.

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