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	ijac202220101
id	ijac202220101
authors	Bao, Ding Wen; Xin Yan, Yi Min Xie
year	2022
title	Encoding topological optimisation logical structure rules into multi-agent system for architectural design and robotic fabrication
source	International Journal of Architectural Computing 2022, Vol. 20 - no. 1, pp. 7–17
summary	Natural phenomena have been explored as a source of architectural and structural design inspiration with different approaches undertaken within architecture and engineering. The research proposes a connection between two dichotomous principles: architectural complexity and structural efficiency through a hybrid of natural phenomena, topology optimisation and generative design. Both Bi-directional Evolutionary Structural Optimisation (BESO) and multi-agent algorithms are emerging technologies developed into new approaches that transform architectural and structural design, respectively, from the logic of topology optimisation and swarm intelligence. This research aims to explore a structural behaviour feedback loop in designing intricate functional forms through encoding BESO logical structure rules into the multi-agent algorithm. This research intends to study and evaluate the application of topology optimisation and multi-agent system in form-finding and later robotic fabrication through a series of prototypes. It reveals a supposition that the structural behaviour-based design method matches the beauty and function of natural appearance and structure. Thus, a new exploration of architectural design and fabrication strategy is introduced, which benefits the collab- oration among architects, engineers and manufacturers. There is the potential to seek the ornamental complexities in architectural forms and the most efficient use of material based on structural performance in the process of generating complex geometry of the building and its various elements.
keywords	Swarm intelligence, multi-agent, bi-directional evolutionary structural optimisation (BESO), intricate architectural form, efficient structure
series	journal
last changed	2024/04/17 14:29

_id	ecaade2022_409
id	ecaade2022_409
authors	Sviták, Daniel, Tsikoliya, Shota and Vaško, Imro
year	2022
title	Multimateriality as a Driver of Additive Robotic Fabrication - Agent system used for toolpath generator
source	Pak, B, Wurzer, G and Stouffs, R (eds.), Co-creating the Future: Inclusion in and through Design - Proceedings of the 40th Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2022) - Volume 2, Ghent, 13-16 September 2022, pp. 151–156
doi	https://doi.org/10.52842/conf.ecaade.2022.2.151
summary	Designing for robotic 3D printing shows many challenges. This project speculates about the possibilities of material, and specifically multi-materiality, to be a design driver of the printing process. Second driver of the design is a bottom-up process of generating the fabrication data. A generalized agent system can act as a procedural generator of fabrication data, utilizing its digital awareness of data around its path. With this approach a smaller scale fabrication prototype was analysed, prepared for fabrication and robotically printed.
keywords	Multimateriality, Robotic Fabrication, Additive Deposition, Particle System, Large-Scale Printing
series	eCAADe
email
last changed	2024/04/22 07:10

_id	acadia22pr_118
id	acadia22pr_118
authors	Bieg, Kory
year	2022
title	ONDA Wall - Using Patterns to Fuse Topology with Topography
source	ACADIA 2022: Hybrids and Haecceities [Projects Catalog of the 42nd Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 979-8-9860805-7-4]. University of Pennsylvania Stuart Weitzman School of Design. 27-29 October 2022. edited by M. Akbarzadeh, D. Aviv, H. Jamelle, and R. Stuart-Smith. 118-123.
summary	The ONDA Wall was designed with two intentions: as a didactic tool for teaching digital design and fabrication, and as an exploration in contemporary architectural theory, specifically how architecture might manifest some ideas held true by the philosophy of Object-Oriented Ontology (OOO).
series	ACADIA
type	project
email
last changed	2024/02/06 14:06

_id	ecaade2022_211
id	ecaade2022_211
authors	Bonafede, Andrea and Erioli, Alessio
year	2022
title	Versus Habitat - Multi agent spatial negotiation for topology-aware, large scale architectural assemblages
source	Pak, B, Wurzer, G and Stouffs, R (eds.), Co-creating the Future: Inclusion in and through Design - Proceedings of the 40th Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2022) - Volume 2, Ghent, 13-16 September 2022, pp. 113–122
doi	https://doi.org/10.52842/conf.ecaade.2022.2.113
summary	With the burst of automation in the AEC industry, modular design for collective living is having a reissue; as for industrial construction in the post WW2 era, the economies of a construction system trigger urban models, but an exploration of non-standard spatial models based on computational methods is still lacking. This research proposes a competition-based process for the design of large scale (urban) collective habitats as topology-aware architectural assemblages of spatial (as in including constructive elements + void) components. Two competing multi-agent systems negotiate spatial occupancy, leveraging the morphological computation capabilities of individual and combined components at increasing scales. Localized information stored in the environment by the agents is converted in architectural components, resulting in a multi- level spatial organization that transcends typical typological classification. Space syntax techniques are used to map the assemblage properties and support design inferences on spatial occupation such as potentially implementable functional programmes.
keywords	Multi-agent System, Automation, Assemblages, Stigmergy, Space Syntax
series	eCAADe
email
last changed	2024/04/22 07:10

_id	caadria2022_242
id	caadria2022_242
authors	Cheng, Chung-Chieh, Sheng, Yu-Ting and Wang, Shih-Yuan
year	2022
title	Robotic Fabrication Process of Glued Laminated Bamboo for Material Efficient Construction
source	Jeroen van Ameijde, Nicole Gardner, Kyung Hoon Hyun, Dan Luo, Urvi Sheth (eds.), POST-CARBON - Proceedings of the 27th CAADRIA Conference, Sydney, 9-15 April 2022, pp. 213-222
doi	https://doi.org/10.52842/conf.caadria.2022.2.213
summary	This paper aims to introduce the development of a new-style glue-laminated bamboo (GLB) board structure and evaluating computational technologies aiming to enhance the performance of fibre materials and a set of digital manufacturing processes. Specifically, this paper develops a method to introduce the concept of topology optimisation into the properties of fibre materials. At the same time, it explains the unique structure optimisation design and manufacturing process (including the design process, digital tools and auxiliary equipment system). To test the design, this paper compares the data obtained via the gravity suspension test of the physical model and the simulation. Through digital manufacturing methods, the project aims to establish structural elements that could improve material efficiency. Furthermore, it may establish a GLB floor structure system in line with the material economy.
keywords	Digital fabrication, Robotic Assembly, Glued Laminate Bamboo, SDG 11, SDG 12, SDG 15
series	CAADRIA
email
last changed	2022/07/22 07:34

_id	caadria2022_112
id	caadria2022_112
authors	Guo, Yiyao, Luo, Yang, Wang, Sihan, Tan, Ying Yi and Tracy, Kenneth
year	2022
title	Robotic Fabrication of Topology Optimized Concrete Components With Reusable Formwork
source	Jeroen van Ameijde, Nicole Gardner, Kyung Hoon Hyun, Dan Luo, Urvi Sheth (eds.), POST-CARBON - Proceedings of the 27th CAADRIA Conference, Sydney, 9-15 April 2022, pp. 91-100
doi	https://doi.org/10.52842/conf.caadria.2022.2.091
summary	In this paper, we introduce a design-to-fabrication workflow to create topology optimised concrete components by clay printing a temporary mould and simultaneously casting concrete into it. Our fabrication approach addresses the United Nation's Sustainability Development Goal (SDG) 12 of reducing waste in construction by employing the phase changing properties of clay, allowing this natural resource to be broken down and reused for subsequent projects. We implemented our workflow in the design and fabrication of a resilient infrastructure that responds to SDG 9 - an urban furniture that braces large trees during high-speed typhoon winds and serving as a bench for locals to rest under the tree. This paper documents our workflow with considerations of its overall workability, material properties and fabrication efficiency. We showcase our final prototype and discuss the feasibility and challenges of this approach in fabricating complex freeform components on a large scale.
keywords	Robotic Fabrication, Topology Optimisation, Freeform Concrete, Reusable Formwork, SDG 9, SDG 12.
series	CAADRIA
email
last changed	2022/07/22 07:34

_id	ecaade2022_18
id	ecaade2022_18
authors	Morales-Beltran, Mauricio and Mostafavi, Sina
year	2022
title	Topology Optimization in Architectural Design: a Technique for Obtaining Discrete Structures from Continuum Typologies
source	Pak, B, Wurzer, G and Stouffs, R (eds.), Co-creating the Future: Inclusion in and through Design - Proceedings of the 40th Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2022) - Volume 1, Ghent, 13-16 September 2022, pp. 589–598
doi	https://doi.org/10.52842/conf.ecaade.2022.1.589
summary	This study explores the advantages of setting a two-dimension continuum topology optimization whose output resembles structures to be assembled from discrete members, within one integrated procedure. The proposed Skeleton Sketch method uses algorithms that connect virtual centers of gravity found in the continuum matrices of the well-known Solid Isotropic Material with Penalization (SIMP) optimization method. The connecting lines are further upgraded to steel profiles through matching required and available cross- sectional areas, obtaining a discrete version of the topology optimized system. Examples of the algorithm’s application on the parametric structural design of three case studies are provided. Results show that the method provides the designer with several layout alternatives through the process, proving to be a versatile and feasible design tool for practical realization of the outcomes of topology optimization.
keywords	Topology Optimization, Parametric Design, Algorithms, Steel Structures
series	eCAADe
email
last changed	2024/04/22 07:10

_id	ijac202220213
id	ijac202220213
authors	Morales-Beltran, Mauricio; Berk Selamoglu; Kaan Çetin; Halis Arda Özdemir; Fulya Özbey
year	2022
title	Exploring 3D printing techniques for the hybrid fabrication of discrete topology optimized structures
source	International Journal of Architectural Computing 2022, Vol. 20 - no. 2, pp. 400–419
summary	The application of topology optimization methods in architecture, while useful for conceptual design explorations, seems to be limited by the practical realization of continuum-type design outcomes. One way to overcome this limitation is setting up design and fabrication techniques, through which continuum domains become discrete structures. This study investigates to which extent discrete optimized systems can be built using a hybrid approach combining 3D printing and analogue fabrication techniques. The procedure is based on an algorithm in Grasshopper (Rhinoceros) that translates continuum topologies obtained in MATLAB into discrete systems, providing alternatives depending on the targeted volume fraction, the intended surface smoothness of the structural components and building material. The study focuses on fabrication aspects and structural performance of discrete structures using 3D printed nodes. Experimental tests evaluate the compressive strength of different types of filaments with varied infill percentages. Final prototypes are fabricated using a hybrid technique involving the use of 3D printed nodes to assemble bar-arrays comprising wooden members. Results provide a critical appraisal of the limitations and potentialities of 3D printing for hybrid fabrication of real scale structures
keywords	Topology optimization, discrete structures, material hybridity, digital fabrication, conceptual design, PLA, PETG
series	journal
last changed	2024/04/17 14:29

_id	sigradi2022_53
id	sigradi2022_53
authors	Stuart-Smith, Robert; Danahy, Patrick
year	2022
title	3D Generative Design for Non-Experts: Multiview Perceptual Similarity with Agent-Based Reinforcement Learning
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. 115–126
summary	Advances in additive manufacturing allow architectural elements to be fabricated with increasingly complex geometrical designs, however, corresponding 3D design software requires substantial knowledge and skill to operate, limiting adoption by non-experts or people with disabilities. Established non-expert approaches typically constrain geometry, topology, or character to a pre-established configuration, rather than aligning to figural and aesthetic characteristics defined by a user. A methodology is proposed that enables a user to develop multi-manifold designs from sketches or images in several 3d camera projections. An agent-based design approach responds to computer vision analysis (CVA) and Deep Reinforcement Learning (RL) to design outcomes with perceptual similarity to user input images evaluated by Structural Similarity Indexing (SSIM). Several CVA and RL ratios were explored in training models and tested on untrained images to evaluate their effectiveness. Results demonstrate a combination of CVA and RL motion behavior can produce meshes with perceptual similarity to image content.
keywords	Generative Design, Machine Learning, Agent-Based Systems, Non-Expert Design
series	SIGraDi
email
last changed	2023/05/16 16:55

_id	caadria2022_411
id	caadria2022_411
authors	Yang, Xuyou, Bao, Ding Wen, Yan, Xin and Zhao, Yucheng
year	2022
title	OptiGAN: Topological Optimization in Design Form-Finding With Conditional GANs
source	Jeroen van Ameijde, Nicole Gardner, Kyung Hoon Hyun, Dan Luo, Urvi Sheth (eds.), POST-CARBON - Proceedings of the 27th CAADRIA Conference, Sydney, 9-15 April 2022, pp. 121-130
doi	https://doi.org/10.52842/conf.caadria.2022.1.121
summary	With the rapid development of computers and technology in the 20th century, the topological optimisation (TO) method has spread worldwide in various fields. This novel structural optimisation approach has been applied in many disciplines, including architectural form-finding. Especially Bi-directional Evolutionary Structural Optimisation (BESO), which was proposed in the 1990s, is widely used by thousands of engineers and architects worldwide to design innovative and iconic buildings. To integrate topological optimisation with artificial intelligence (AI) algorithms and to leverage its power to improve the diversity and efficiency of the BESO topological optimisation method, this research explores a non-iterative approach to accelerate the topology optimisation process of structures in architectural form-finding via conditional generative adversarial networks (GANs), which is named as OptiGAN. Trained with topological optimisation results generated through Ameba software, OptiGAN is able to predict a wide range of optimised architectural and structural designs under defined conditions.
keywords	BESO (bi-directional evolutionary structural optimisation), Artificial Intelligence, Deep Learning, Topological Optimisation, Form-Finding, GAN (Generative Adversarial Networks), SDG 12, SDG 9
series	CAADRIA
email
last changed	2022/07/22 07:34

_id	caadria2022_337
id	caadria2022_337
authors	Zomparelli, Alessandro and Naboni, Roberto
year	2022
title	Complex Shape Modelling by Tessellation. Advanced Geometry Control for Variably Curved Surfaces
source	Jeroen van Ameijde, Nicole Gardner, Kyung Hoon Hyun, Dan Luo, Urvi Sheth (eds.), POST-CARBON - Proceedings of the 27th CAADRIA Conference, Sydney, 9-15 April 2022, pp. 375-384
doi	https://doi.org/10.52842/conf.caadria.2022.2.375
summary	Tessellation is a flexible modelling method for computational designers that allows to articulate and detail complex topological surfaces by repeating components along target surfaces. This technique provides a discretization strategy compatible with many digital-fabrication processes. Well-known geometrical issues limit such an approach on surfaces characterized by highly variable curvature, which can output errors such as self-intersections and undesired deformations. This research shows geometrical methods to manage such problems and implement them in an open-source tool. In particular, automatic and manual procedures for manipulating normal vector fields are utilized and applied to the modelling of complex shape case studies.
keywords	Industry, Innovation, Infrastructure, Architectural Geometry, Computational Design, Topology-based Design, Tessellation Mesh Subdivision Modelling, SDG 9
series	CAADRIA
email
last changed	2022/07/22 07:34

_id	ijac202220107
id	ijac202220107
authors	Yu Ma, Chun; Jeroen van Ameijde
year	2022
title	Adaptable modular construction systems and multi-objective optimisation strategies for mass-customised housing: A new user-driven paradigm for high-rise living in Hong Kong
source	International Journal of Architectural Computing 2022, Vol. 20 - no. 1, pp. 96–113
summary	There has been a recent increase in the exploration of ‘the discrete’ in architecture, speculating on how an integrated approach to design, fabrication, assembly and inhabitation can disrupt the traditional investment- and decision-making models in the housing industry. Strategically designed part-to-whole systems allow for differentiation and reconfiguration, and the incorporation of different end-user’ requirements. This potential of ‘democratising’ housing production requires further research into how the negotiation between multiple stakeholders’ preferences can be guided through digital methods. This paper presents a research-by-design project that applies a digital and discrete material system to high-rise housing in Hong Kong, a typology which often features high degrees of standardisation. Through the development of an adaptable modular con- struction system and a multi-objective optimisation workflow, a system is explored that addresses the challenges of high-rise construction, and of customising high-density housing. The case study project demonstrates the ability of the workflow’s evolutionary algorithm to balance complex requirements including maximising views, daylight access and internal connectivity according to diverse user requirements.
keywords	Participatory Design, Generative Design, Multi-Objective Optimisation, Adaptable Architecture, High-rise Housing, Hong Kong
series	journal
last changed	2024/04/17 14:29

_id	acadia23_v1_166
id	acadia23_v1_166
authors	Chamorro Martin, Eduardo; Burry, Mark; Marengo, Mathilde
year	2023
title	High-performance Spatial Composite 3D Printing
source	ACADIA 2023: Habits of the Anthropocene: Scarcity and Abundance in a Post-Material Economy [Volume 1: Projects Catalog of the 43rd Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 979-8-9860805-8-1]. Denver. 26-28 October 2023. edited by A. Crawford, N. Diniz, R. Beckett, J. Vanucchi, M. Swackhamer 166-171.
summary	This project explores the advantages of employing continuum material topology optimization in a 3D non-standard lattice structure through fiber additive manufacturing processes (Figure 1). Additive manufacturing (AM) has gained rapid adoption in architecture, engineering, and construction (AEC). However, existing optimization techniques often overlook the mechanical anisotropy of AM processes, resulting in suboptimal structural properties, with a focus on layer-by-layer or planar processes. Materials, processes, and techniques considering anisotropy behavior (Kwon et al. 2018) could enhance structural performance (Xie 2022). Research on 3D printing materials with high anisotropy is limited (Eichenhofer et al. 2017), but it holds potential benefits (Liu et al. 2018). Spatial lattices, such as space frames, maximize structural efficiency by enhancing flexural rigidity and load-bearing capacity using minimal material (Woods et al. 2016). From a structural design perspective, specific non-standard lattice geometries offer great potential for reducing material usage, leading to lightweight load-bearing structures (Shelton 2017). The flexibility and freedom of shape inherent to AM offers the possibility to create aggregated continuous truss-like elements with custom topologies.
series	ACADIA
type	project
email
last changed	2024/04/17 13:58

_id	cdrf2022_396
id	cdrf2022_396
authors	Chengbi Duan, Suyi Shen, Dingwen Bao, and Xin Yan
year	2022
title	Exploration and Design of the Contemporary Bracket Set Through Topology Optimization
source	Proceedings of the 2022 DigitalFUTURES The 4st International Conference on Computational Design and Robotic Fabrication (CDRF 2022)
doi	https://doi.org/https://doi.org/10.1007/978-981-19-8637-6_34
summary	Dou Gong, pronounced in Chinese, and known as Bracket Set, is a vital support component in the ancient wooden tectonic systems. It is located between the column and the beam and connects the eave and pillar, making the heavy roof extend out of the eaves longer. The development of the bracket set is entirely a microcosm of the development of ancient Chinese architecture; the aesthetic structure and oriental artistic temperament behind the bracket make it gradually become the cultural and spiritual symbol of traditional Chinese architecture. In the contemporary era, inheriting and developing the bracket set has become an essential issue. This paper introduces the topological optimization method bi-directional evolutionary structural optimization (BESO) for form-finding. Through analyzing the development trend of bracket set and mechanical structure, the authors integrate 2D and 3D optimization methods and apply the hybrid methods to form-finding. This research aims to design a new bracket set corresponding to “structural performance-based aesthetics.“ The workflow proposed in this paper is valuable for architrave and other traditional building components.
series	cdrf
email
last changed	2024/05/29 14:03

_id	caadria2022_299
id	caadria2022_299
authors	Cui, Qiang, Zhang, Huikai, Pawar, Siddharth Suhas, Yu, Chuan, Feng, Xiqiao and Qiu, Song
year	2022
title	Topology Optimization for 3D-Printable Large-Scale Metallic Hollow Structures With Self-Supporting
source	Jeroen van Ameijde, Nicole Gardner, Kyung Hoon Hyun, Dan Luo, Urvi Sheth (eds.), POST-CARBON - Proceedings of the 27th CAADRIA Conference, Sydney, 9-15 April 2022, pp. 101-110
doi	https://doi.org/10.52842/conf.caadria.2022.2.101
summary	Design for Additive Manufacturing (DfAM), is a one of the most commonly used and foundational techniques used in the development of new products, and particularly those that involve large-scale metallic structures composed of hollow components. One such AM technique is Wire Arc Additive Manufacturing (WAAM), which is the application of robotic welding technology applied to Additive Manufacturing. Due to the lack of a simple method to describe the fabricating constraint of WAAM and the complex hollow morphology, which difficultly deploys topology optimization structural techniques that use WAAM. In this paper, we develop a design strategy that unifies ground-structure optimization method with generative design that considers the features of hollow components, WAAM overhang angle limits and manufacturing thickness limits. The method is unique in that the user can interact with the design results, make changes to parameters, and alter the design based on the user‚s aesthetic or specific manufacturing setup needs. We deploy the method in the design and 3D printing of an optimized Electric Vehicle Chassis and successfully test in under different loading conditions.
keywords	Topology optimization, Generative design, Self-supporting, Hollow structures, Metallic 3D printing, SDG 12
series	CAADRIA
email
last changed	2022/07/22 07:34

_id	ijac202220215
id	ijac202220215
authors	Gámez Bohórquez, Oscar; William Derigent; Hind Bril El-Haouzi
year	2022
title	Parametric point-cloud slicing for facade retrofitting
source	International Journal of Architectural Computing 2022, Vol. 20 - no. 2, pp. 434–452
summary	This work presents a method for retrieving 3D building contours usable in facade retrofitting projects, which uses a parametric modeling workflow that utilizes a point-cloud slicing method to retrieve such 3D contours. Since current commitments by European governments seek to reduce energy consumption as a means to reduce carbon emissions from building stock by 2050, facade retrofitting appears as an alternative for addressing operational and embedded building emissions. Within such a context, the main contribution of this work consists of a workflow and a 3D reconstruction solution that uses a parametric environment for capturing building topology and bypassing ground-level occlusions. A real case study and a strategy for converting 3D building contours into Industry Foundation Classes entities, directly from the parametric modeling environment, served as a scenario for testing the capabilities of a Grasshopper solution and open new perspectives for this approach.
keywords	Facade retrofitting, scan to building information modeling, parametric modeling, terrestrial laser scanning, building lifecycle
series	journal
last changed	2024/04/17 14:29

_id	acadia22pr_160
id	acadia22pr_160
authors	Schofield, Alex; Considine, Megan; Rumrill, Dr. Steven
year	2022
title	Oyster Tiling: Augmented Ecological Topology
source	ACADIA 2022: Hybrids and Haecceities [Projects Catalog of the 42nd Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 979-8-9860805-7-4]. University of Pennsylvania Stuart Weitzman School of Design. 27-29 October 2022. edited by M. Akbarzadeh, D. Aviv, H. Jamelle, and R. Stuart-Smith. 160-165.
summary	Oyster Tiling is a study that blends material science, computational design, advanced fabrication, and restoration ecology to produce a tiling substrate for recruitment of functionally extinct Olympia oysters at Coquille Point on Yaquina Bay in Oregon. We utilized a design methodology with careful consideration of the intervention at the scale of Micro (material), Meso (topological), and Macro (tiling/ deployment).
series	ACADIA
type	project
email
last changed	2024/02/06 14:06

_id	cdrf2022_40
id	cdrf2022_40
authors	Yufan Xie, Jingsen Lian, and Yufang Zhou
title	A Slime Mold System Driven by Skeletonization Errors
source	Proceedings of the 2022 DigitalFUTURES The 4st International Conference on Computational Design and Robotic Fabrication (CDRF 2022)
doi	https://doi.org/https://doi.org/10.1007/978-981-19-8637-6_4
summary	This paper proposed a new way to generate slime mold patterns using a typical voronoi-based skeletonization method. As a recursive system, it redraws and expands the resulting trails of skeletonization and feeds them back as an image source for skeletonization. Through iterations, it utilizes the difference before and after skeletonization to generate slime-mold-like patterns. During the whole process, we tested different growth types with different parameter settings and environmental conditions. Since most researches on skeletonization focus on minimizing errors, on the opposite side this method utilizes errors of skeletonisation (e.g. subtracted skeletons at “branch” areas of the bitmap are different from the original brush trails or the best result we expect) as the basis of the generative process. The redraw process makes it possible to reconnect skeletons via intersected brushes, continuously changing the topology of the network. Unlike the traditional slime mold algorithm which operates on every single agent, our method is driven by image-based solutions. On the output side, this system provides a condensed vector result, which is more applicable for design purposes.
email
last changed	2024/05/29 14:02

_id	acadia22_300
id	acadia22_300
authors	Zheng, Hao; Akbarzadeh, Masoud
year	2022
title	A Web-based Interactive Structural Pattern Generation Tool with Graphic Statics and Machine Learning of Dragonfly Wings
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. 300-309.
summary	The dragonfly wing is among the many natural structures that have intrigued many researchers to study its geometry and performance as a bioinspired design. In previous research, we developed a workflow to use Graphic Statics to analyze the dragonfly wing structure and machine learning models to generate the topology and geometry of a dragonfly wing structure. However, the current workflow involves multiple geometric algorithms and the implementation of complex machine learning models, making it is difficult for designers to follow and use. Therefore, in this paper, we introduce a web-based tool that implements the workflow.
series	ACADIA
type	paper
email
last changed	2024/02/06 14:00

_id	caadria2022_145
id	caadria2022_145
authors	Duering, Serjoscha, Fink, Theresa, Chronis, Angelos and Konig, Reinhard
year	2022
title	Environmental Performance Assessment - The Optimisation of High-Rises in Vienna
source	Jeroen van Ameijde, Nicole Gardner, Kyung Hoon Hyun, Dan Luo, Urvi Sheth (eds.), POST-CARBON - Proceedings of the 27th CAADRIA Conference, Sydney, 9-15 April 2022, pp. 545-554
doi	https://doi.org/10.52842/conf.caadria.2022.1.545
summary	Our cities are facing different kinds of challenges - in parallel to the urban transformation and densification, climate targets and objectives of decision-makers are on the daily agenda of planning. Therefore, the planning of new neighbourhoods and buildings in high-density areas is complex in many ways. It requires intelligent processes that automate specific aspects of planning and thus enable impact-oriented planning in the early phases. The impacts on environment, economy and society have to be considered for a sustainable planning result in order to make responsible decisions. The objective of this paper is to explore pathways towards a framework for the environmental performance assessment and the optimisation of high-rise buildings with a particular focus on processing large amounts of data in order to derive actionable insights. A development area in the urban centre of Vienna serves as case study to exemplify the potential of automated model generation and applying ML algorithm to accelerate simulation time and extend the design space of possible solutions. As a result, the generated designs are screened on the basis of their performance using a Design Space Exploration approach. The potential for optimisation is evaluated in terms of their environmental impact on the immediate environment.
keywords	simulation, prediction and evaluation, machine learning, computational modelling, digital design, high-rises, SGD 11, SDG 13
series	CAADRIA
email
last changed	2022/07/22 07:34

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