Algorithm-aided Information Design: Hybrid Design approach on the edge of associative methodologies in AEC

Dissertação de mestrado em European Master in Building Information ModellingLast three decades have brought colossal progress to design methodologies within the common pursuit toward a seamless fusion between digital and physical worlds and augmenting it with the of computation power and network coverage. For this historically short period, two generations of methodologies and tools have emerged: Additive generation and parametric Associative generation of CAD. Currently, designers worldwide engaged in new forms of design exploration. From this race, two prominent methodologies have developed from Associative Design approach – Object-Oriented Design (OOD) and Algorithm-Aided Design (AAD). The primary research objective is to investigate, examine, and push boundaries between OOD and AAD for new design space determination, where advantages of both design methods are fused to produce a new generation methodology which is called in the present study AID (Algorithm-aided Information Design). The study methodology is structured into two flows. In the first flow, existing CAD methodologies are investigated, and the conceptual framework is extracted based on the state of art analysis, then analysed data is synthesized into the subject proposal. In the second flow, tools and workflows are elaborated and examined on practice to confirm the subject proposal. In compliance, the content of the research consists of two theoretical and practical parts. In the first theoretical part, a literature review is conducted, and assumptions are made to speculate about AID methodology, its tools, possible advantages and drawbacks. Next, case studies are performed according to sequential stages of digital design through the lens of practical AID methodology implementation. Case studies are covering such design aspects as model & documentation generation, design automation, interoperability, manufacturing control, performance analysis and optimization. Ultimately, a set of test projects is developed with the AID methodology applied. After the practical part, research returns to the theory where analytical information is gathered based on the literature review, conceptual framework, and experimental practice reports. In summary, the study synthesizes AID methodology as part of Hybrid Design, which enables creative use of tools and elaborating of agile design systems integrating additive and associative methodologies of Digital Design. In general, the study is based on agile methods and cyclic research development mixed between practice and theory to achieve a comprehensive vision of the subject.Last three decades have brought colossal progress to design methodologies within the common pursuit toward a seamless fusion between digital and physical worlds and augmenting it with the of computation power and network coverage. For this historically short period, two generations of methodologies and tools have emerged: Additive generation and parametric Associative generation of CAD. Currently, designers worldwide engaged in new forms of design exploration. From this race, two prominent methodologies have developed from Associative Design approach – Object-Oriented Design (OOD) and Algorithm-Aided Design (AAD). The primary research objective is to investigate, examine, and push boundaries between OOD and AAD for new design space determination, where advantages of both design methods are fused to produce a new generation methodology which is called in the present study AID (Algorithm-aided Information Design). The study methodology is structured into two flows. In the first flow, existing CAD methodologies are investigated, and the conceptual framework is extracted based on the state of art analysis, then analysed data is synthesized into the subject proposal. In the second flow, tools and workflows are elaborated and examined on practice to confirm the subject proposal. In compliance, the content of the research consists of two theoretical and practical parts. In the first theoretical part, a literature review is conducted, and assumptions are made to speculate about AID methodology, its tools, possible advantages and drawbacks. Next, case studies are performed according to sequential stages of digital design through the lens of practical AID methodology implementation. Case studies are covering such design aspects as model & documentation generation, design automation, interoperability, manufacturing control, performance analysis and optimization. Ultimately, a set of test projects is developed with the AID methodology applied. After the practical part, research returns to the theory where analytical information is gathered based on the literature review, conceptual framework, and experimental practice reports. In summary, the study synthesizes AID methodology as part of Hybrid Design, which enables creative use of tools and elaborating of agile design systems integrating additive and associative methodologies of Digital Design. In general, the study is based on agile methods and cyclic research development mixed between practice and theory to achieve a comprehensive vision of the subject

Separation of concerns: strategies for complex parametric design modelling

Parametric design systems are indispensable in enabling flexibility during the delivery of solutions to geometrically complex and ill-formed design problems. However, this flexibility is provided at the expense of coercing designers into adopting a highly structured design process. While this inflexibility has been widely documented in the literature, there are no examples of strategies for overcoming it. I have investigated how to overcome the inflexibility inherent in parametric modeling systems through the development of two major strategies and eight sub strategies. The strategies were developed through a mixed-method research methodology combining the case-study method and the action research method, in order to analyse the eight real world case-studies presented in support of this thesis. The primary finding of this research is that we need better ways to integrate automation in design modelling while simultaneously we need more tacit interaction through “Direct Modelling” with our models in order to achieve a greater flexibility in design modelling. The approaches analysed in this thesis have demonstrated through the eight specific case-studies how designers can reasonably achieve disruptive variation within the flexible design environments which the parametric design paradigm fosters. The three intervention modes: Internal Code, External Code and Bespoke Approach, addressed challenges to flexibility within parametric design software and ways to overcome them depending on the nature of the problem and the suitability of the strategy to the design problem

Metaheuristic design: the parametric blueprint of a processing plant

Architectural design “folds” deeply into associative logic, which is used to create a system of grammar responsive to a dialect. Within traditional design practices, these associations create themselves through additive logic, thereby making them laborious in their response to any change in the language. The implementation of computers in architectural design was initially considered a mode to overcome this - to automate the design process. Until now, it has primarily only afforded the designer the opportunity to perform repetitive tasks faster than traditional drawing methods, without enhancing any depth to associative parameters. The current state of the architectural discourse has opened itself up to advanced computation and is beginning to use this capacity fully. Using algorithmic logic to instantaneously process and compare multiple conditions, the designer now holds the power to determine which grammars he desires to engage with, which solutions he is required to review and which outcomes he wishes to find. He no longer labours over repetitive and additive tasks; rather, he focuses on reviewing iterative changes in dialect in order to produce a highly responsive and technically comprehensive architectural solution. It is important to note that these changes in dialect can refer to any field of qualitative or quantitative data, such as quantified climatic or census data, or qualities of light and volume, so long as the designer transposes quality into a scaled matrix of values. The author is captivated by both digital technologies and sensory experiences in architecture, guiding this treatise to understand natural phenomena and their complexities - expressly, environmental responses to field conditions. The design response to this research is formulated from an algorithm that devises a fl oor plan layout; the methodology used is from a close-packed perimeter cell network, most notably found in floor plans of industrial architectures, henceforth the design articulates as industrial architecture in a context reactive to this typology. The agrarian town of Patensie lies in a rich valley of agriculture, climate and field conditions, and provides the opportunity for this treatise to develop

Proceedings of the 9th Arab Society for Computer Aided Architectural Design (ASCAAD) international conference 2021 (ASCAAD 2021): architecture in the age of disruptive technologies: transformation and challenges.

The ASCAAD 2021 conference theme is Architecture in the age of disruptive technologies: transformation and challenges. The theme addresses the gradual shift in computational design from prototypical morphogenetic-centered associations in the architectural discourse. This imminent shift of focus is increasingly stirring a debate in the architectural community and is provoking a much needed critical questioning of the role of computation in architecture as a sole embodiment and enactment of technical dimensions, into one that rather deliberately pursues and embraces the humanities as an ultimate aspiration

The process of construction planning

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EG-ICE 2021 Workshop on Intelligent Computing in Engineering

The 28th EG-ICE International Workshop 2021 brings together international experts working at the interface between advanced computing and modern engineering challenges. Many engineering tasks require open-world resolutions to support multi-actor collaboration, coping with approximate models, providing effective engineer-computer interaction, search in multi-dimensional solution spaces, accommodating uncertainty, including specialist domain knowledge, performing sensor-data interpretation and dealing with incomplete knowledge. While results from computer science provide much initial support for resolution, adaptation is unavoidable and most importantly, feedback from addressing engineering challenges drives fundamental computer-science research. Competence and knowledge transfer goes both ways