Wave Function Collapse (WFC) is a constraint-solving algorithm inspired by the quantum mechanics process. However, few attempts have been made in the Architectural, Engineering, and Construction (AEC) industry. WFC li...
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ISBN:
(纸本)9789887891819
Wave Function Collapse (WFC) is a constraint-solving algorithm inspired by the quantum mechanics process. However, few attempts have been made in the Architectural, Engineering, and Construction (AEC) industry. WFC literature indicates that it is constrained by its low-fidelity, stochastic process, making it hard to apply in real-world designs, hence its potential lack of application in the AEC sector. Yet this research sees an opportunity in design for Manufacturing and Assembly (DfMA). Unlike typical architectural projects, DfMA is often more constrained due to modularity. How the DfMA modularity benefits and constricts the spatial planning process, and if such a priori modular definition better informs the design process, is yet to be explored. Thus, how can the highly constrained spatial rules in DfMA architectural design be used in implementing WFC for higher-fidelity fast design concept prototyping? During the research, a prototype was experimented with and implemented while demonstrating several advantages jointly inherited from both the DfMA and WFC, namely (a) high-resolution rapid prototyping with little user intervention for early-stage DfMA and (b) further building material and topological analytics, were enabled for decision support. Hence, this paper addressed the rarely discussed early-stage design problems in the DfMA lifecycle and contributed to a real-world architectural project-based implementation of WFC integrated into an automated computeraided architectural design workflow inspired by DfMA's modularity that aligns with Sustainable Development Goals (SDGs) of 11 Sustainable Cities and Communities and 12 Responsible Consumption and Production.
Transit-oriented Development(TOD) is widely regarded as a sustainable development paradigm for its sensible space planning and promotion of public transit access. Research in providing decision support tools of TOD ma...
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We show that dynamic covalent exchange at the interface of two thermosetting polymers results in strong bonding between the materials via creation of a new material at the interface. Thus, polymers of significantly di...
作者：
Arindam BanerjeeTanushri Banerjeeis a Professor of Marketing at IIM Ahmedabad. He has been associated with the institute for the past 18 years as a faculty. Prior to his joining the institute
he worked as an analytics specialist in a management consulting firm based in Chicago IL. He has market research experience in the United States of America having worked at A C Nielsen Corporation servicing the analytics requirement for Philip Morris Inc. As a faculty member at IIM Ahmedabad he teaches consults and researches in marketing analytics and marketing strategy. He has been involved in setting up the offshore analytics operations for a global bank in India and has been an analytics mentor for several other organizations. He is a PhD in Marketing Science from the State University of New York at Buffalo and a PGDM from IIM Lucknow. e-mail: is an Associate Professor of Information Systems at the School of Petroleum Management at Pandit Deendayal Petroleum University
Gandhinagar. She carries 20 years of work experience divided between academia and industry. Her career is a mix of national and international job profiles which has led her to blend industrial technological advancements into evolving academic curriculum. Prior to her current position she was associate director at Duke Corporate Education (India) a joint venture between Duke University and IIM Ahmedabad. Her responsibilities included steering the operations and systems infrastructure management initiatives for India along with global executive programme design and delivery. Additionally she has also held positions in the systems function at Abbott Laboratories Inc. Chicago and at Torrent Labs at Ahmedabad. She is MS in Information Sciences from the University of Illinois at Chicago and PhD in Management from the MS University at Baroda. Her current interests lie in the areas of BI and data-driven decision-making. e-mail:
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