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	ecaade2016_098
id	ecaade2016_098
authors	Bia³kowski, Sebastian
year	2016
title	Structural Optimisation Methods as a New Toolset for Architects
source	Herneoja, Aulikki; Toni Österlund and Piia Markkanen (eds.), Complexity & Simplicity - Proceedings of the 34th eCAADe Conference - Volume 2, University of Oulu, Oulu, Finland, 22-26 August 2016, pp. 255-264
doi	https://doi.org/10.52842/conf.ecaade.2016.2.255
wos	WOS:000402064400025
summary	The paper focuses on possibilities of already known engineering procedures such as Finite Element Method or Topology Optimisation for effective implementation in architectural design process. The existing attempts of complex engineering algorithms implementation, as a form finding approach will be discussed. The review of architectural approaches utilising engineering methods will be supplemented by the author's own solution for that particular problem. By intersecting architectural form evaluation with engineering analysis complemented by optimisation algorithms, the new quality of contemporary architecture design process may appears.
keywords	topology optimization; design support tools; complex geometries; finite element method; CUDA
series	eCAADe
email
last changed	2022/06/07 07:54

_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	ecaade2017_046
id	ecaade2017_046
authors	Ezzat, Mohammed
year	2017
title	Implementing the General Theory for Finding the Lightest Manmade Structures Using Voronoi and Delaunay
source	Fioravanti, A, Cursi, S, Elahmar, S, Gargaro, S, Loffreda, G, Novembri, G, Trento, A (eds.), ShoCK! - Sharing Computational Knowledge! - Proceedings of the 35th eCAADe Conference - Volume 2, Sapienza University of Rome, Rome, Italy, 20-22 September 2017, pp. 241-250
doi	https://doi.org/10.52842/conf.ecaade.2017.2.241
summary	In previous efforts, the foundation of a general theory that searches for finding lightest manmade structures using the Delaunay diagram or its dual the Voronoi diagram was set (Ezzat, 2016). That foundation rests on using a simple and computationally cheap Centroid method. The simple Centroid method is expected to play a crucial role in the more sophisticated general theory. The Centroid method was simply about classifying a cloud of points that represents specific load case/s stresses on any object. That classification keeps changing using mathematical functions until optimal structures are found. The point cloud then is classified into different smaller points' groups; each of these groups was represented by a single positional point that is related to the points' group mean. Those representational points were used to generate the Delaunay or Voronoi diagrams, which are tested structurally to prove or disprove the optimality of the classification. There was not a single optimized classification out of that process but rather a family of them. The point cloud was the input to the centroid structural optimization, and the family of the optimized centroid method is the input to our proposed implementation of the general theory (see Figure 1). The centroid method produced promising optimized structures that performed from five to ten times better than the other tested variations. The centroid method was implemented using the two structural plugins of Millipede and Karmaba, which run under the environment of the Grasshopper plugin. The optimization itself is done using the grasshopper's component of Galapagos.
keywords	Agent-based structural optimization; Evolutionary conceptual tree representation; Heuristic structural knowledge acquisition ; Centroid structural classification optimization method
series	eCAADe
email
last changed	2022/06/07 07:55

_id	acadia16_72
id	acadia16_72
authors	Harrison, Paul
year	2016
title	What Bricks Want: Machine Learning and Iterative Ruin
source	ACADIA // 2016: POSTHUMAN FRONTIERS: Data, Designers, and Cognitive Machines [Proceedings of the 36th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-77095-5] Ann Arbor 27-29 October, 2016, pp. 72-77
doi	https://doi.org/10.52842/conf.acadia.2016.072
summary	Ruin has a bad name. Despite the obvious complications, failure provides a rich opportunity—how better to understand a building’s physicality than to watch it collapse? This paper offers a novel method to exploit failure through physical simulation and iterative machine learning. Using technology traditionally relegated to special effects, we can now understand collapse on a granular level: since modern-day physics engines track object-object collisions, they enable a close reading of the spatial preferences that underpin ruin. In the case of bricks, that preference is relatively simple—to fall. By idealizing bricks as rigid bodies, one can understand the effects of gravitational force on each individual brick in a masonry structure. These structures are sometimes able to ‘settle,’ resulting in a stable equilibrium state; in many cases, it means that they will simply collapse. Analyzing ruin in this way is informative, to be sure, but it proves most useful when applied in series. The evolutionary solver described in this paper closely monitors the performance of constituent bricks and ensures that the most successful structures are emulated by later generations. The tool consists of two parts: a user interface for design and the solver itself. Once the architect produces a potential design, the solver performs an evolutionary optimization; after a few hundred iterations, the end result is a structurally sound version of the unstable original. It is hoped that this hybrid of top-down and bottom-up design strategies offers an architecture that is ultimately strengthened by its contingencies.
keywords	rigid body analysis, machine learning, multi-agent structural optimization, sensate systems
series	ACADIA
type	paper
email
last changed	2022/06/07 07:49

_id	acadia16_88
id	acadia16_88
authors	Klemmt, Christoph; Bollinger, Klaus
year	2016
title	Load Responsive Angiogenesis Networks: Structural Growth Simulations of Discrete Members using Variable Topology Spring Systems
source	ACADIA // 2016: POSTHUMAN FRONTIERS: Data, Designers, and Cognitive Machines [Proceedings of the 36th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-77095-5] Ann Arbor 27-29 October, 2016, pp. 88-97
doi	https://doi.org/10.52842/conf.acadia.2016.088
summary	Venation systems in leaves, which form their structural support, always connect back to one seed point, the petiole of the leaf. In order to develop similar structural networks for architectural use which connect to more seed points on the ground, an algorithm has been developed which can develop from two or three seed points, inspired by angiogenesis, the process through which the vascular system grows. This allows for the generation of structurally suitable topologies based on discrete members, which can be evaluated using Finite Element Analysis and which can be constructed from linear structural members without an additional interpretation of the results. The networks have been developed as load bearing spring systems above the support points. Different structures have been compared and tested using Finite Element Analysis. Compared to traditional column and beam structures, the angiogenesis networks as well as the venation networks are shown to perform well under load.
keywords	venation, finite element analysis, angiongenesis, embedded responsiveness
series	ACADIA
type	paper
email
last changed	2022/06/07 07:51

_id	ascaad2016_014
id	ascaad2016_014
authors	Ahmed, Zeeshan Y.; Freek P. Bos, Rob J.M. Wolfs and Theo A.M. Salet
year	2016
title	Design Considerations Due to Scale Effects in 3D Concrete Printing
source	Parametricism Vs. Materialism: Evolution of Digital Technologies for Development [8th ASCAAD Conference Proceedings ISBN 978-0-9955691-0-2] London (United Kingdom) 7-8 November 2016, pp. 115-124
summary	The effect of scale on different parameters of the 3D printing of concrete is explored through the design and fabrication of a 3D concrete printed pavilion. This study shows a significant gap exists between what can be generated through computer aided design (CAD) and subsequent computer aided manufacturing (generally based on CNC technology). In reality, the 3D concrete printing on the one hand poses manufacturing constraints (e.g. minimum curvature radii) due to material behaviour that is not included in current CAD/CAM software. On the other hand, the process also takes advantage of material behaviour and thus allows the creation of shapes and geometries that, too, can’t be modelled and predicted by CAD/CAM software. Particularly in the 3D printing of concrete, there is not a 1:1 relation between toolpath and printed product, as is the case with CNC milling. Material deposition is dependent on system pressure, robot speed, nozzle section, layer stacking, curvature and more – all of which are scale dependent. This paper will discuss the design and manufacturing decisions based on the effects of scale on the structural design, printed and layered geometry, robot kinematics, material behaviour, assembly joints and logistical problems. Finally, by analysing a case study pavilion, it will be explore how 3D concrete printing structures can be extended and multiplied across scales and functional domains ranging from structural to architectural elements, so that we can understand how to address questions of scale in their design.
series	ASCAAD
email
last changed	2017/05/25 13:31

_id	sigradi2016_637
id	sigradi2016_637
authors	Castro Arenas, Cristhian; Miralles, Monica
year	2016
title	Naturaleza, Sinergia, Tensegridad y Biotensegridad, ?es 1 + 1 = 4? [Nature, Sinergy, Tensegrity and Biotensegrity, ?is 1 + 1 = 4?]
source	SIGraDi 2016 [Proceedings of the 20th Conference of the Iberoamerican Society of Digital Graphics - ISBN: 978-956-7051-86-1] Argentina, Buenos Aires 9 - 11 November 2016, pp.118-122
summary	The optimization of resources in nature has stimulated the creation of strategies to facilitate the interchange of energy, matter and information. Observation of these natural phenomena allowed Fuller to develop the concept of Tensegrity Systems in the 50's, generating a growing integration of multidisciplinary views on this subject. In this paper Tensegrity is postulated, given its peculiar synergistic qualities, as a paradigmatic and emergent concept in the projectual disciplines, both as a type of system displaying reciprocal interactions between a given number of nodes, and as a structural system with potential applications in multiple, evolving, scientific-technological fields.
keywords	Sinergy; Tensegrity; Biotensegrity; Fuller; Systems
series	SIGRADI
email
last changed	2021/03/28 19:58

_id	ecaade2016_078
id	ecaade2016_078
authors	Das, Subhajit, Zolfagharian, Samaneh, Nourbakhsh, Mehdi and Haymaker, John
year	2016
title	Integrated Spatial-Structural Optimization in the Conceptual Design Stage of Project - A tool to generate and optimize design solutions aiding informed decision making for Architects, Engineers and Stakeholders
source	Herneoja, Aulikki; Toni Österlund and Piia Markkanen (eds.), Complexity & Simplicity - Proceedings of the 34th eCAADe Conference - Volume 2, University of Oulu, Oulu, Finland, 22-26 August 2016, pp. 117-126
doi	https://doi.org/10.52842/conf.ecaade.2016.2.117
wos	WOS:000402064400011
summary	Healthcare design projects require the careful integration of spatial and structural requirements. Today, design teams typically resolve these requirements in two separate, largely sequential steps. In the first step, architects leverage their experience and vision to develop space plans that address program and goals. Next, based on the architect's recommended design, engineers generate and refine a structural design to address structural requirements. This manual process produces a very limited number of non optimal spatial and structural design solutions with unclear decision rationale. This paper presents the Integrated Spatial-Structural Optimization (ISSO) decision making methodology. ISSO supports design teams by helping them generate, analyze, and manage a vast number of integrated spatial and structural solutions. ISSO features a bi-level optimization workflow that has been customized for spatial and structural design of healthcare facilities. The paper describes implementation in the Dynamo parametric modeling platform, and retrospective validation of the algorithm and workflow on an industry case study to demonstrate how ISSO can help design teams generate, analyze, and manage more conceptual design options.
keywords	Spatial Design; Generative Design; Design Optimization; Facility Planning; Design Tools; Design Automation
series	eCAADe
email
last changed	2022/06/07 07:55

_id	acadia16_318
id	acadia16_318
authors	Huang, Alvin
year	2016
title	From Bones to Bricks: Design the 3D Printed Durotaxis Chair and La Burbuja Lamp
source	ACADIA // 2016: POSTHUMAN FRONTIERS: Data, Designers, and Cognitive Machines [Proceedings of the 36th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-77095-5] Ann Arbor 27-29 October, 2016, pp. 318-325
doi	https://doi.org/10.52842/conf.acadia.2016.318
summary	Drawing inspiration from the variable density structures of bones and the self-supported cantilvers of corbelled brick arches, the Durotaxis Chair and the La Burbuja lamp explore a material-based design process by responding to the challenge of designing a 3D print, rather than 3D printing a design. As such, the fabrication method and materiality of 3D printing define the generative design constraints that inform the geometry of each. Both projects are seen as experiments in the design of 3D printed three-dimensional space packing structures that have been designed specifically for the machines by which they are manufactured. The geometry of each project has been carefully calibrated to capitalize on a selection of specific design opportunities enabled by the capabilities and constraints of additive manufacturing. The Durotaxis Chair is a half-scale prototype of a fully 3D printed multi-material rocking chair that is defined by a densely packed, variable density three-dimensional wire mesh that gradates in size, scale, density, color, and rigidity. Inspired by the variable density structure of bones, the design utilizes principal stress analysis, asymptotic stability, and ergonomics to drive the logics of the various gradient conditions. The La Burbuja Lamp is a full scale prototype for a zero-waste fully 3D printed pendant lamp. The geometric articulation of the project is defined by a cellular 3D space packing structure that is constrained to the angles of repose and back-spans required to produce un-supported 3D printing.
keywords	parametic design, digital fabrication, structural analysis, additive manufacturing, 3d printing
series	ACADIA
type	paper
email
last changed	2022/06/07 07:50

_id	ecaade2016_094
id	ecaade2016_094
authors	Kontovourkis, Odysseas and Konatzii, Panagiota
year	2016
title	Optimization Process Towards Robotic Manufacturing in Actual Scale - The Implementation of Genetic Algorithms in the Robotic Construction of Modular Formwork Systems
source	Herneoja, Aulikki; Toni Österlund and Piia Markkanen (eds.), Complexity & Simplicity - Proceedings of the 34th eCAADe Conference - Volume 1, University of Oulu, Oulu, Finland, 22-26 August 2016, pp. 169-178
doi	https://doi.org/10.52842/conf.ecaade.2016.1.169
wos	WOS:000402063700019
summary	The application of optimization processes in architectural design has gained significant attention among architects and recently has become a driving force towards more robust, reliable as well as flexible design investigations. Such application, require handling of multiple parameters, aiming at finding the range of possible solutions in morphological or topological problems of optimization, mostly during the design decision-making process and under the influence of functional, environmental, structural, or other design criteria. This ongoing research investigation puts forward the hypothesis that optimization processes might be equally applied during the construction decision-making process where architectural systems are examined in terms of their ability to be statically efficient and easily manufactured through the use of robotic machines. This is important to exist within a bidirectional platform of communication where the design decision-making will inform decision taken during pre-construction stage and vise versa. In order to test our hypothesis, two case studies are developed that implements genetic algorithms to examine the geometric and static behavior as well as the construction ability of proposed flexible three-dimensional modular formworks and overall systems for concrete casting, aiming to be robotically manufactured in actual scale.
keywords	Optimization process; genetic algorithms; robotic manufacturing; modular formwork system.
series	eCAADe
email
last changed	2022/06/07 07:51

_id	acadia16_382
id	acadia16_382
authors	Lopez, Deborah; Charbel, Hadin; Obuchi, Yusuke; Sato, Jun; Igarashi, Takeo; Takami, Yosuke; Kiuchi, Toshikatsu
year	2016
title	Human Touch in Digital Fabrication
source	ACADIA // 2016: POSTHUMAN FRONTIERS: Data, Designers, and Cognitive Machines [Proceedings of the 36th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-77095-5] Ann Arbor 27-29 October, 2016, pp. 382-393
doi	https://doi.org/10.52842/conf.acadia.2016.382
summary	Human capabilities in architecture-scaled fabrication have the potential of being a driving force in both design and construction processes. However, while intuitive and flexible, humans are still often seen as being relatively slow, weak, and lacking the exacting precision necessary for structurally stable large-scale outputs—thus, hands-on involvement in on-site fabrication is typically kept at a minimum. Moreover, with increasingly advanced computational tools and robots in architectural contexts, the perfection and speed of production cannot be rivaled. Yet, these methods are generally non-engaging and do not necessarily require a skilled labor workforce, bringing to question the role of the craftsman in the digital age. This paper was developed with the focus of leveraging human adaptability and tendencies in the design and fabrication process, while using computational tools as a means of support. The presented setup consists of (i) a networked scanning and application of human movements and human on-site positioning, (ii) a lightweight and fast-drying extruded composite material, (iii) a handheld “smart” tool, and (iv) a structurally optimized generative form via an iterative feedback system. By redistributing the roles and interactions of humans and machines, the hybridized method makes use of the inherently intuitive yet imprecise qualities of humans, while maximizing the precision and optimization capabilities afforded by computational tools—thus incorporating what is traditionally seen as “human error” into a dynamically engaging and evolving design and fabrication process. The interdisciplinary approach was realized through the collaboration of structural engineering, architecture, and computer science laboratories.
keywords	human computer interaction and design, craft in design, tool streams and tool building, cognate streams, sensate systems
series	ACADIA
type	paper
email
last changed	2022/06/07 07:59

_id	acadia16_260
id	acadia16_260
authors	Schleicher, Simon; La Magna, Riccardo
year	2016
title	Bending-Active Plates: Form-Finding and Form-Conversion
source	ACADIA // 2016: POSTHUMAN FRONTIERS: Data, Designers, and Cognitive Machines [Proceedings of the 36th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-77095-5] Ann Arbor 27-29 October, 2016, pp. 260-269
doi	https://doi.org/10.52842/conf.acadia.2016.260
summary	With this paper, the authors aim to contribute to the discourse on bending-active structures by highlighting two different design methods, form-finding and form-conversion. The authors compare the two methods through close analysis of bending-active plate structures, discussing their advantages and disadvantages based on three built case studies. This paper introduces the core ideas behind bending-active structures, a rather new structural system that makes targeted use of large elastic deformations to generate and stabilize complex geometrical forms based on initially planar elements. Previous research has focused mainly on form-finding. As a bottom-up approach, it begins with flat plates and recreates the bending and coupling process digitally to gradually determine the final shape. Form-conversion, conversely, begins with a predefined shape that is then discretized by strategic surface tiling and informed mesh subdivision, and which in turn considers the geometrical and structural constraints given by the plates. The three built case studies exemplify how these methods integrate into the design process. The first case study applies physical and digital form-finding techniques to build a chaise lounge. The latter two convert a desired shape into wide-spanning constructions that either weave multiple strips together or connect distant layers with each other, providing additional rigidity. The presented case studies successfully prove the effectiveness of form-finding and form-conversion methods and render a newly emerging design space for the planning, fabrication, and construction of bending-active structures.
keywords	bending-active structures, form-conversion, form-finding, embedded responsiveness
series	ACADIA
type	paper
email
last changed	2022/06/07 07:57

_id	acadia16_196
id	acadia16_196
authors	Yuan, Philip F.; Chai, Hua; Yan, Chao; Zhou, Jin Jiang
year	2016
title	Robotic Fabrication of Structural Performance-based Timber Gridshell in Large-Scale Building Scenario
source	ACADIA // 2016: POSTHUMAN FRONTIERS: Data, Designers, and Cognitive Machines [Proceedings of the 36th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-77095-5] Ann Arbor 27-29 October, 2016, pp 196-205
doi	https://doi.org/10.52842/conf.acadia.2016.196
summary	This paper investigates the potential of a digital geometry system to integrate structural performance-based design and robotic fabrication in the scenario of building a large-scale non-uniform timber shell. It argues that a synthesis of multi-objective optimization, design and construction phases is required in the realization of timber shell construction in architecture practice in order to fulfill the demands of building regulation. Confronting the structural challenge of the non-uniform shell, a digital geometry system correlates all the three phases by translating geometrical information between them. First, a series of structural simulations and experimentations with different objectives are executed to inform the particular shape and tectonic details of each shell component based on its local condition in the geometrical system. Then, controlled by the geometrical system, a hybrid process of different digital fabrication technologies, including a customized robotic timber mill, is established to enable the manufacture of the heterogeneous shell components. Ultimately, the Timber Structure Enterprise Pavilion as the demonstration and evaluation of this method is fabricated and assembled on site through a notational system to indicate the applicability of this research in practical scenarios.
keywords	robotic fabrication, geometrical information modeling, simulation and design optimization, big data
series	ACADIA
type	paper
email
last changed	2022/06/07 07:57

_id	ecaade2016_223
id	ecaade2016_223
authors	Khallaf, Mohamed and Jupp, Julie
year	2016
title	Designing for Urban Microclimates: Towards A Generative Performance-based Approach to Wind Flow Optimization
source	Herneoja, Aulikki; Toni Österlund and Piia Markkanen (eds.), Complexity & Simplicity - Proceedings of the 34th eCAADe Conference - Volume 2, University of Oulu, Oulu, Finland, 22-26 August 2016, pp. 95-106
doi	https://doi.org/10.52842/conf.ecaade.2016.2.095
wos	WOS:000402064400009
summary	This paper presents the foundations of a multidisciplinary design optimisation method that addresses the problem of competing wind flow profiles within urban microclimates. The simultaneous integration of architectural and urban design parameters and their aerodynamic constraints are investigated. Differences in the height of tall buildings, which define the urban canopy layer are accounted for. The formulation that supports the simulation of aerodynamic forces at the architectural and urban scales includes multidisciplinary parameter specification of 2D and 3D building geometry, spatial morphology, spatial topology, wind flow settings, and wind flow compliance. The MDO framework and its development are discussed relative to their generative performance-based capacity and innovative approach to multidisciplinary wind flow optimization
keywords	Urban microclimate; Multidisciplinary design optimisation; Generative performance-based design; Systems level perspective
series	eCAADe
email
last changed	2022/06/07 07:52

_id	caadria2016_197
id	caadria2016_197
authors	Zavoleas, Yannis
year	2016
title	The biological model and the bio-type: Dynamic simulation tools defining architectural components
source	Living Systems and Micro-Utopias: Towards Continuous Designing, Proceedings of the 21st International Conference on Computer-Aided Architectural Design Research in Asia (CAADRIA 2016) / Melbourne 30 March–2 April 2016, pp. 197-206
doi	https://doi.org/10.52842/conf.caadria.2016.197
summary	Architecture has shown a recurring interest on themes of biological origin, especially since the early days of modernism. With the advent of computation, the related discourse has been enriched with new analogies, in particular when biological systems are de- scribed by algorithmic formulas and their parametric functions are in- spected with the assistance of simulation tools. An understanding of the architectural object with reference to biology offers breaking from typological preconceptions about form in favour of its operational character supporting organic behaviour, so to speak. In reflection, the present paper puts under scrutiny architectural components such as fa- c?ade, wall, window, opening, support structure and circulation viewed as topological references also in analogy to biological notions such as skin, membrane, cell, bone structure, energy flows and the nervous system. Form becomes the dynamic effect of forces; a system that manages energy trades being the primary cause of its own shape.
keywords	System; parametricism; type; topology; bio-structuralism
series	CAADRIA
email
last changed	2022/06/07 07:57

_id	acadia16_106
id	acadia16_106
authors	Das, Subhajit; Day, Colin; Hauck, John; Haymaker, John; Davis, Diana
year	2016
title	Space Plan Generator: Rapid Generationn & Evaluation of Floor Plan Design Options to Inform Decision Making
source	ACADIA // 2016: POSTHUMAN FRONTIERS: Data, Designers, and Cognitive Machines [Proceedings of the 36th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-77095-5] Ann Arbor 27-29 October, 2016, pp. 106-115
doi	https://doi.org/10.52842/conf.acadia.2016.106
summary	Design exploration in architectural space planning is often constrained by tight deadlines and a need to apply necessary expertise at the right time. We hypothesize that a system that can computationally generate vast numbers of design options, respect project constraints, and analyze for client goals, can assist the design team and client to make better decisions. This paper explains a research venture built from insights into space planning from senior planners, architects, and experts in the field, coupled with algorithms for evolutionary systems and computational geometry, to develop an automated computational framework that enables rapid generation and analysis of space plan layouts. The system described below automatically generates hundreds of design options from inputs typically provided by an architect, including a site outline and program document with desired spaces, areas, quantities, and adjacencies to be satisfied. We envision that this workflow can clarify project goals early in the design process, save time, enable better resource allocation, and assist key stakeholders to make informed decisions and deliver better designs. Further, the system is tested on a case study healthcare design project with set goals and objectives.
keywords	healthcare spaces, facility layout design, design optimization, decision making, binary data tree structure, generative design, automated space plans
series	ACADIA
type	paper
email
last changed	2022/06/07 07:55

_id	acadia16_12
id	acadia16_12
authors	Gerber, David Jason; Pantazis, Evangelos
year	2016
title	A Multi-Agent System for Facade Design: A design methodology for Design Exploration, Analysis and Simulated Robotic Fabrication
source	ACADIA // 2016: POSTHUMAN FRONTIERS: Data, Designers, and Cognitive Machines [Proceedings of the 36th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-77095-5] Ann Arbor 27-29 October, 2016, pp. 12-23
doi	https://doi.org/10.52842/conf.acadia.2016.012
summary	For contemporary design practices, there still remains a disconnect between design tools used for early stage design exploration and performance analysis, and those used for fabrication and construction of complex tectonic architectural systems. The research brings forward downstream fabrication constraints into the up-stream design exploration and design decision making. This paper addresses the issues of developing an integrated digital design work-flow and details a research framework for the incorporation of environmental performance into a robotic fabrication for early stage design exploration and generation of intricate and complex alternative façade designs. The method allows the user to import a design surface, define design parameters, set a number of environmental performance objectives, and then simulate and select a robotic construction strategy. Based on these inputs, design alternatives are generated and evaluated in terms of their performance criteria in consideration of their robotically simulated constructability. In order to validate the proposed framework, an experimental case study of office building façade designs that are generatively created from a multi-agent system for design methodology is design explored and evaluated. Initial results define a heuristic function for improving simulated robotic constructability and illustrate the functionality of our prototype. Project limitations and future research steps are then discussed.
keywords	generative design, multi-objective design optimization, robotic fabrication, simulation, design performance, design decision making
series	ACADIA
type	paper
email
last changed	2022/06/07 07:51

_id	ecaade2016_042
id	ecaade2016_042
authors	Narangerel, Amartuvshin, Lee, Ji-Hyun and Stouffs, Rudi
year	2016
title	Daylighting Based Parametric Design Exploration of 3D Facade Patterns
source	Herneoja, Aulikki; Toni Österlund and Piia Markkanen (eds.), Complexity & Simplicity - Proceedings of the 34th eCAADe Conference - Volume 2, University of Oulu, Oulu, Finland, 22-26 August 2016, pp. 379-388
doi	https://doi.org/10.52842/conf.ecaade.2016.2.379
wos	WOS:000402064400037
summary	A building façade plays an important role of reducing artificial lighting by introducing natural light into the interior space. A majority of research and current technology heavily focuses on the optimization of window properties such as the size, location, and glazing with the consideration of external shading device as well as the building wall in order to obtain appropriate natural lit space. In the present work, we propose a 3-dimensional approach that can explore the trade-offs between two objectives, daylight performance and electricity generation, by means of paramedic modeling and multi-objective optimization algorithm. The case study was simulated under the environmental setting of the geographical location of Incheon, Korea without any urban context. Using the proposed methods, 50 pareto-front optimal solutions were derived and investigated based on the achieved daylighting and generated electricity.
keywords	Parametric design; façade design; daylight performance; building-integrated photovoltaics; multi-objective optimization
series	eCAADe
email
last changed	2022/06/07 07:58

_id	acadia16_332
id	acadia16_332
authors	Retsin, Gilles; Garcia, Manuel Jimenez
year	2016
title	Discrete Computational Methods for Robotic Additive Manufacturing: Combinatorial Toolpaths
source	ACADIA // 2016: POSTHUMAN FRONTIERS: Data, Designers, and Cognitive Machines [Proceedings of the 36th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-77095-5] Ann Arbor 27-29 October, 2016, pp. 332-341
doi	https://doi.org/10.52842/conf.acadia.2016.332
summary	The research presented in this paper is part of a larger, emerging body of research into large-scale 3D printing. The research attempts to develop a computational design method specifically for large-scale 3D printing of architecture. Influenced by the concept of Digital Materials, this research is situated within a critical discussion of what fundamentally constitutes a digital object and process. This requires a holistic understanding, taking into account both computational design and fabrication. The intrinsic constraints of the fabrication process are used as opportunities and generative drivers in the design process. The paper argues that a design method specifically for 3D printing should revolve around the question of how to organize toolpaths for the continuous addition or layering of material. Two case-study projects advance discrete methods as efficient ways to compute a continuous printing process. In contrast to continuous models, discrete models allow users to serialize problems and errors in toolpaths. This allows a local optimization of the structure, avoiding the use of global, computationally expensive, problem-solving algorithms. Both projects make use of a voxel-based approach, where a design is generated directly from the combination of thousands of serialized toolpath fragments. The understanding that serially repeated elements can be assembled into highly complex and heterogeneous structures has implications stretching beyond 3D printing. This combinatorial approach for example also becomes highly valuable for construction systems based on modularity and prefabrication.
keywords	prgrammable materials, simulation and design optimization, digital fabrication, big data
series	ACADIA
type	paper
email
last changed	2022/06/07 07:56

_id	caadria2016_209
id	caadria2016_209
authors	Wang, Likai; Zilong Tan and Guohua Ji
year	2016
title	Toward the wind-related building performative design
source	Living Systems and Micro-Utopias: Towards Continuous Designing, Proceedings of the 21st International Conference on Computer-Aided Architectural Design Research in Asia (CAADRIA 2016) / Melbourne 30 March–2 April 2016, pp. 109-218
doi	https://doi.org/10.52842/conf.caadria.2016.109
summary	The integration of optimization algorithms and building performance simulation tools make it possible to carry out performa- tive design or performance-driven design, which aims to guide the de- sign synthesis process of the simulation results to continuously im- prove the design. However, the associated research work of wind- related building performance is still deficient, resulting from lack of applicable interface and the time consumption. Meanwhile, in the in- dustrial design realm, the aero-dynamics or fluid-dynamics behaviour of the production under development has been vastly analysed and op- timized based on the multi-discipline optimization (MDO) techniques. Owing to offering numerous built-in interface and integrated optimi- zation algorithm, MDO application software has begun to be used in building optimization design with the complex relationship between various objectives. With the advantage of MDO tools and aimed to provide an efficient optimization approach from the perspective of ar- chitect, this paper proposes a wind-related building performance op- timization design system integrating Rhinoceros and Fluent based on iSIGHT - a MDO application software. In addition, the lighting per- formance is considered in this research as well for implementing the multi-objective optimization. Two case studies of tall building optimi- zation design based on varied generative approaches are introduced to investigate the effect and efficiency of this system.
keywords	Performative design; wind-related building performance; MDO; parametric generating design
series	CAADRIA
email
last changed	2022/06/07 07:58

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