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

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_id	acadia22_76
id	acadia22_76
authors	Kwon, Hyunchul; Soni, Priyank; Saeedi, Ali; Shahverdi, Moslem; Dillenburger, Benjamin
year	2022
title	3D Printing and Shape Memory Alloys
source	ACADIA 2022: Hybrids and Haecceities [Proceedings of the 42nd Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 979-8-9860805-8-1]. University of Pennsylvania Stuart Weitzman School of Design. 27-29 October 2022. edited by M. Akbarzadeh, D. Aviv, H. Jamelle, and R. Stuart-Smith. 76-89.
summary	This paper presents a novel method combining the use of 3D printing (3DP) and shape memory alloys (SMAs) to compose kinetic architectural elements that are energy- and material-efficient within compact-integrated composites. Kinetic systems for architectural use have been explored since the late twentieth century using motor mechanics. However, the primary challenges of this method include maintenance of mechanical units, their high energy demand, and noise during actuation. To address these shortcomings, this research explores a hybrid of 3DP motion-optimized parts with embedded SMAs as a muscle that changes shape with temperature stimulus
series	ACADIA
type	paper
email
last changed	2024/02/06 14:00

_id	ijac202220214
id	ijac202220214
authors	Baghi, Ali; Saleh Kalantari; Aryan Baghi
year	2022
title	Reconfigurable molds and a fabrication-aware design tool for manufacturing concrete grid structures
source	International Journal of Architectural Computing 2022, Vol. 20 - no. 2, pp. 420–433
summary	The design and manufacturing of concrete elements need to be reconsidered in light of current trends in architectural geometry. Today, there is a movement toward greater customization and adaptability of concrete elements using “reconfigurable formworks” and “additive manufacturing.” Our study approached the issue of fabricating non-standardized concrete elements from the perspective of a “reconfigurable fabrication platform.” Specifically, we developed a method of fabricating geometrically diverse concrete joints by combining flexible pressure-enduring tubes with a rigid mechanism, resulting in an adaptive concretecasting machine. This platform, which we named “Flexi-node,” can be used in conjunction with a relevant fabrication-aware digital design tool. Users can computationally design and fabricate a great variety of concrete joints using just one mold, with a minimum of material waste and with no distortion from hydrostatic pressure as would typically occur in a fully flexible formwork
keywords	Reconfigurable formwork, concrete casting, concrete joints, fabrication-aware design tool
series	journal
last changed	2024/04/17 14:29

_id	ijac202220216
id	ijac202220216
authors	Keyvanfar, Ali; Arezou Shafaghat; Muhamad SF Rosley
year	2022
title	Performance comparison analysis of 3D reconstruction modeling software in construction site visualization and mapping
source	International Journal of Architectural Computing 2022, Vol. 20 - no. 2, pp. 453–475
summary	Unmanned aerial vehicle (UAV) technology has overcome the limitations of conventional construction management methods using advanced and automated visualization and 3D reconstruction modeling techniques. Although the mapping techniques and reconstruction modeling software can generate real-time and high-resolution descriptive textural, physical, and spatial data, they may fail to develop an accurate and complete 3D model of the construction site. To generate a quality 3D reconstruction model, the construction manager must optimize the trade-offs among three major software-selection factors: functionalities, technical capabilities, and the system hardware specifications. These factors directly affect the robust 3D reconstruction model of the construction site and objects. Accordingly, the purpose of this research was to apply nine well-established 3D reconstruction modeling software tools (DroneDeploy, COLMAP, 3DF+Zephyr, Autodesk Recap, LiMapper, PhotoModeler, 3D Survey, AgiSoft Photoscan, and Pix4D Mapper) and compare their performances and reliabilities in generating complete 3D models. The research was conducted in an eco-home building at the University of Technology, Malaysia. A series of regression analyses were conducted to compare the performances of the selected 3D reconstruction modeling software in alignment and registration, distance computing, geometric measurement, and plugin execution. Regression analysis determined that among the software programs, LiMapper had the strongest positive linear correlation with the ground truth model. Furthermore, the correlation analysis showed a statistically significant p-value for all software, except for 3D Survey. In addition, the research found that Autodesk Recap generated the most-robust and highest-quality dense point clouds. DroneDeploy can create an accurate point cloud and triangulation without using many points as required by COLMAP and LiMapper. It was concluded that most of the software is robustly, positively, and linearly correlated with the corresponding ground truth model. In the future, other factors involving software selection should be studied, such as vendor-related, user-related, and automation factors.
keywords	Construction site visualization, unmanned aerial vehicle, photogrammetry, 3D reconstruction modeling, multi-view-stereopsis, structure-from-motion, ANOVA and regression analysis
series	journal
last changed	2024/04/17 14:29

_id	ascaad2022_011
id	ascaad2022_011
authors	Najafi, Qodsiye; Mahlabani, Yousef; Goharian, Ali; Mahdavinejad, Mohammadjavad
year	2022
title	A Novel Design-Based Optimization Solution for Building by Sensitivity Analysis
source	Hybrid Spaces of the Metaverse - Architecture in the Age of the Metaverse: Opportunities and Potentials [10th ASCAAD Conference Proceedings] Debbieh (Lebanon) [Virtual Conference] 12-13 October 2022, pp. 632-653
summary	The important objective of a building must be to provide a comfortable environment for people. Heating, ventilation and air conditioning (HVAC) systems provide a comfortable environment, but they are using high energy consumption, therefore, designing an energy-efficient building that balances energy performance and thermal comfort is necessary. To achieve this subject is important to choose the effective parameters for energy performance. This research aim is to produce a methodology for multi-objective optimization of daylight and thermal comfort in order to study the effect of wall material and shading of an office building (Tehran a basic-location). The building simulation was developed and validated by comparing predicted daylight hours and thermal comfort hour based on test and training on Jupiter Notebook (Anaconda3). The sensitivity analysis uses a multiple linear regression (MLR) method. Secondly, optimization is based on a genetic algorithm (GA) with the effective parameters to optimize the daylight and thermal comfort performance. For this, we developed a parametric model using the Grasshopper plugin for Rhino and then use Honeybee and Ladybug plugins to simulate thermal comfort and daylight, at the end use the Octopus engine to find an optimization solution. The result of this paper is essential as a preliminary analysis for shading devices, window-to-wall ratios, and wall construction optimization in the open-plan office.
series	ASCAAD
email
last changed	2024/02/16 13:24

_id	sigradi2022_149
id	sigradi2022_149
authors	Shakeri, Sheida; Örnek, Muhammed Ali
year	2022
title	Towards robotic fabrication in landscape architecture
source	Herrera, PC, Dreifuss-Serrano, C, Gómez, P, Arris-Calderon, LF, Critical Appropriations - Proceedings of the XXVI Conference of the Iberoamerican Society of Digital Graphics (SIGraDi 2022), Universidad Peruana de Ciencias Aplicadas, Lima, 7-11 November 2022 , pp. 467–478
summary	With the fourth industrial revolution advancements, digital fabrication and automation have been widely adopted in design and manufacturing domains and deliver exceptional architectural design and fabrication potential. Specifically, robotic fabrication, as cutting-edge technology, pushes the boundaries of architecture to reach structural improvements. However, the potential for robotic fabrication of landscape architecture, which goes beyond the automation and maintenance of existing techniques, remains relatively untouched. This research explores the potential of robotic fabrication in landscape architecture by evaluating its applications in architecture. Therefore, a systematic review was conducted on pioneering architectural research groups involved in robotic fabrication projects. The collected projects were classified and analyzed based on their main parameters, including material, the implemented task, final products, and goals. This evaluation system helps to identify new areas of activity that will enhance landscape architecture, and it will help to change the historical link between a landscape architect and his production techniques.
keywords	Digital Fabrication, Automation, Industry 4.0, Landscape Architecture, Robotic Fabrication
series	SIGraDi
email
last changed	2023/05/16 16:56

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