Cumincad : CUMINCAD Papers : Search Results

CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

PDF papers
References

Hits 1 to 4 of 4

Reformat results as: short short into frame detailed detailed into frame

_id	caadria2021_013
id	caadria2021_013
authors	Haeusler, M. Hank, Butler, Andrew, Gardner, Nicole, Sepasgozar, Samad and Pan, Shan
year	2021
title	Wasted ... Again - Or how to understand waste as a data problem and aiming to address the reduction of waste as a computational challenge
doi	https://doi.org/10.52842/conf.caadria.2021.1.371
source	A. Globa, J. van Ameijde, A. Fingrut, N. Kim, T.T.S. Lo (eds.), PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 1, The Chinese University of Hong Kong and Online, Hong Kong, 29 March - 1 April 2021, pp. 371-380
summary	The global construction industry is the single largest consumer of materials on the planet. Of that material consumption anywhere between 10-20% will end up in landfills as waste. Currently, there are three approaches to tackle this problem - reduce, reuse, and recycle. Concentrating purely on the challenge of reducing waste this research aims to address the problem of waste in the construction industry by addressing it in the preliminary design stage. It does so by asking the research question if computational design offers opportunities towards lean construction or to achieve Zero Waste by understanding waste as a data management challenge. For our research materials are specified in databases outlining geometrical and quantitative information either in material supplier databases (homepage) or in architecture and construction databases via Revit or Grasshopper. Consequently, one can collect via web scraping, investigate via databases, inspect and compare via Grasshopper and Python these databases to understand if one can transform data into information towards material use and consequently into knowledge on waste production and reduction. This investigation, its proposed hypothesis, methodology, implications, significance, and evaluation are presented in the paper.
keywords	Construction industry; waste reduction; databases; web scraping; computational design
series	CAADRIA
email
last changed	2022/06/07 07:49

_id	ijac202119407
id	ijac202119407
authors	Haeusler, Matthias H.; Gardner, Nicole; Yu, Daniel K.; Oh, Claire; Huang, Blair
year	2021
title	(Computationally) designing out waste: Developing a computational design workflow for minimising construction and demolition waste in early-stage architectural design
source	International Journal of Architectural Computing 2021, Vol. 19 - no. 4, 594–611
summary	In the architecture, engineering and construction (AEC) industry, waste is oft framed as an economic problemtypically addressed in a building’s construction and demolition phase. Yet, architectural design decision-making can significantly determine construction waste outcomes. Following the logic of zero waste, thisresearch addresses waste minimisation‘at the source’. By resituating the problem of construction wastewithin the architectural design process, the research explores waste as a data and informational problem in adesign system. Accordingly, this article outlines the creation of an integrated computational design decisionsupport waste tool that employs a novel data structure combining HTML-scraped material data and historicbuilding information modelling (BIM) data to generate waste evaluations in a browser-based 3D modellingplatform. Designing an accessible construction waste tool for use by architects and designers aims to heightenawareness of the waste implications of design decisions towards challenging the systems of consumption andproduction that generate construction and demolition waste.
keywords	Construction and demolition waste, waste minimisation, zero waste, BIM databases, design process, designmanagement, web scraping, computational design, software product development
series	journal
email
last changed	2024/04/17 14:29

_id	ecaade2021_010
id	ecaade2021_010
authors	Huang, Yurong, Butler, Andrew, Gardner, Nicole and Haeusler, M. Hank
year	2021
title	Lost in Translation - Achieving semantic consistency of name-identity in BIM
doi	https://doi.org/10.52842/conf.ecaade.2021.2.009
source	Stojakovic, V and Tepavcevic, B (eds.), Towards a new, configurable architecture - Proceedings of the 39th eCAADe Conference - Volume 2, University of Novi Sad, Novi Sad, Serbia, 8-10 September 2021, pp. 9-20
summary	Custom room naming in architectural projects can vary considerably depending on the user. Having multiple and diverse names for the same room is particularly problematic for information retrieval processes in BIM-based projects. Current best practice includes either team agreement on naming labels in BIM or manual renaming to align with an office-wide standard. Both remain laborious and flawed and lead to compounding errors. This research explores how an automated naming-standardization workflow can enhance the interoperability of object-based modeling in a BIM environment and make information retrieval more reliable for a project life cycle. This paper presents research on (1) building a custom corpus specialized for architectural terminology to fit into the BIM environment and (2) devising a standard-naming system titled WuzzyNaming to save manual work for BIM users in maintaining room-name consistency. Our presented workflow applied natural language processing (NLP) technique and Fuzzy logic to perform the semantic analysis and automate the BIM room-name standardization.
keywords	Building information modeling; Natural Language Processing; Data interoperability; Naming convention; Fuzzy logic
series	eCAADe
email
last changed	2022/06/07 07:50

_id	ecaade2021_009
id	ecaade2021_009
authors	Majzoub, Omar and Haeusler, M. Hank
year	2021
title	Investigating Computational Methods and Strategies to Reduce Construction and Demolition Waste in Preliminary Design
doi	https://doi.org/10.52842/conf.ecaade.2021.1.325
source	Stojakovic, V and Tepavcevic, B (eds.), Towards a new, configurable architecture - Proceedings of the 39th eCAADe Conference - Volume 1, University of Novi Sad, Novi Sad, Serbia, 8-10 September 2021, pp. 325-334
summary	The waste produced in construction and demolition presents social, economic, and environmental challenges on a global scale. Research suggests that effective decision-making mechanisms are needed during preliminary design stages to minimise the production of waste. In early research, we presented a beta version of a waste reduction tool which is now in need of a User Experience (UX) and Interaction Experience (IX) strategy to meet our research aims of (a) supporting architects in making informed decisions and (b) offer general as well a specific design optimisation to reduce waste. Thus in our research, we arrived at a point that required an investigation into computational methods and strategies to meet these aims. While optimisation and decision-making in architecture are often achieved through generative design strategies, we aim to investigate and discuss alternatives. Thus we propose the hypothesis of employing augmented intelligence. The paper presents work in augmented intelligence undertaken outside the architecture discipline and presents our literature review with a discussion and conclusion.
keywords	Waste reduction; computational methods and strategies; sustainable development goals; augmented intelligence; position paper
series	eCAADe
email
last changed	2022/06/07 07:59

No more hits.