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	ascaad2016_047
id	ascaad2016_047
authors	Algeciras-Rodríguez, José
year	2016
title	Trained Architectonics
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. 461-468
summary	The research presented here tests the capacity of artificial-neural-network (ANN) based multi-agent systems to be implemented in architectural design processes. Artificial Intelligence algorithms allow for a new approach to design, taking advantage of its generic functioning to produce meaningful outcomes. Experimentation within this project is based on Self-Organizing Maps (SOMs) and takes advantage of its behavior in topology to produce architectural geometry. SOMs as full stochastic processes involve randomness, uncertainty and unpredictability as key features to deal with during the design process. Following this behavior, SOMs are used to transmit information, which, instead of being copied, is reproduced after a learning (training) process. Pre-existent architectural objects are taken as learning models as they have been considered masterpieces. In this context, by defining the SOM input set, masterpieces become measurement elements and can be used to set a distance to the new element position in a comparatistic space. The characteristics of masterpieces get embedded within the code and are transmitted to 3D objects. SOM produced objects from a population with shared characteristics where the masterpiece position is its probabilistic center point.
series	ASCAAD
email
last changed	2017/05/25 13:33

_id	ascaad2016_027
id	ascaad2016_027
authors	Cocho-Bermejo, Ana
year	2016
title	Time in Adaptable Architecture - Deployable emergency intelligent membrane
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. 249-258
summary	The term "Parametricism" widespread mainly by Patrick Schumacher (Schumacher, 2008) is worthy of study. Developing the concept of Human Oriented Parametric Architecture, the need of implementing time as the lost parameter in current adaptive design techniques will be discussed. Morphogenetic processes ideas will be discussed through the principle of an adaptable membrane as a case study. A model implementing a unique Arduino[i] on the façade will control its patterns performance through an Artificial Neural Network that will understand the kind of scenario the building is in, activating a Genetic Algorithm that will optimize the insulation performance of the ETFE pillows. The system will work with a global behavior for façade pattern performance and with a local one for each pillow, giving the option of individual sun-shading control. Machine learning implementation will give the façade the possibility to learn from the efficacy of its decisions through time, eliminating the need of a general on-off behavior.
series	ASCAAD
email
last changed	2017/05/25 13:31

_id	caadria2016_881
id	caadria2016_881
authors	Silvestre, Joaquim; Yasushi Ikeda and Franc?ois Gue?na
year	2016
title	Artificial Imagination of Architecture with Deep Convolutional Neural Network
doi	https://doi.org/10.52842/conf.caadria.2016.881
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. 881-890
summary	This paper attempts to determine if an Artificial Intelli- gence system using deep convolutional neural network (ConvNet) will be able to “imagine” architecture. Imagining architecture by means of algorithms can be affiliated to the research field of generative archi- tecture. ConvNet makes it possible to avoid that difficulty by automat- ically extracting and classifying these rules as features from large ex- ample data. Moreover, image-base rendering algorithms can manipu- late those abstract rules encoded in the ConvNet. From these rules and without constructing a prior 3D model, these algorithms can generate perspective of an architectural image. To conclude, establishing shape grammar with this automated system opens prospects for generative architecture with image-base rendering algorithms.
keywords	Machine learning; convolutional neural network; generative design; image-based rendering
series	CAADRIA
email
last changed	2022/06/07 07:56

_id	acadia20_238
id	acadia20_238
authors	Zhang, Hang
year	2020
title	Text-to-Form
doi	https://doi.org/10.52842/conf.acadia.2020.1.238
source	ACADIA 2020: Distributed Proximities / Volume I: Technical Papers [Proceedings of the 40th Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-95213-0]. Online and Global. 24-30 October 2020. edited by B. Slocum, V. Ago, S. Doyle, A. Marcus, M. Yablonina, and M. del Campo. 238-247.
summary	Traditionally, architects express their thoughts on the design of 3D architectural forms via perspective renderings and standardized 2D drawings. However, as architectural design is always multidimensional and intricate, it is difficult to make others understand the design intention, concrete form, and even spatial layout through simple language descriptions. Benefiting from the fast development of machine learning, especially natural language processing and convolutional neural networks, this paper proposes a Linguistics-based Architectural Form Generative Model (LAFGM) that could be trained to make 3D architectural form predictions based simply on language input. Several related works exist that focus on learning text-to-image generation, while others have taken a further step by generating simple shapes from the descriptions. However, the text parsing and output of these works still remain either at the 2D stage or confined to a single geometry. On the basis of these works, this paper used both Stanford Scene Graph Parser (Sebastian et al. 2015) and graph convolutional networks (Kipf and Welling 2016) to compile the analytic semantic structure for the input texts, then generated the 3D architectural form expressed by the language descriptions, which is also aided by several optimization algorithms. To a certain extent, the training results approached the 3D form intended in the textual description, not only indicating the tremendous potential of LAFGM from linguistic input to 3D architectural form, but also innovating design expression and communication regarding 3D spatial information.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	acadia16_98
id	acadia16_98
authors	Smith, Shane Ida; Lasch, Chris
year	2016
title	Machine Learning Integration for Adaptive Building Envelopes: An Experimental Framework for Intelligent Adaptive Control
doi	https://doi.org/10.52842/conf.acadia.2016.098
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. 98-105
summary	This paper describes the development of an Intelligent Adaptive Control (IAC) framework that uses machine learning to integrate responsive passive conditioning at the envelope into a building’s comprehensive conventional environmental control system. Initial results show that by leveraging adaptive computational control to orchestrate the building’s mechanical and passive systems together, there exists a demonstrably greater potential to maximize energy efficiency than can be gained by focusing on either system individually, while the addition of more passive conditioning strategies significantly increase human comfort, health and wellness building-wide. Implicitly, this project suggests that, given the development and ever increasing adoption of building automation systems, a significant new site for computational design in architecture is expanding within the post-occupancy operation of a building, in contrast to architects’ traditional focus on the building’s initial design. Through the development of an experimental framework that includes physical material testing linked to computational simulation, this project begins to describe a set of tools and procedures by which architects might better conceptualize, visualize, and experiment with the design of adaptive building envelopes. This process allows designers to ultimately engage in the opportunities presented by active systems that govern the daily interactions between a building, its inhabitants, and their environment long after construction is completed. Adaptive material assemblies at the envelope are given special attention since it is here that a building’s performance and urban expression are most closely intertwined.
keywords	model predictive control, reinforcement learning, energy performance, adaptive envelope, sensate systems
series	ACADIA
type	paper
email
last changed	2022/06/07 07:56

_id	acadia20_688
id	acadia20_688
authors	del Campo, Matias; Carlson, Alexandra; Manninger, Sandra
year	2020
title	3D Graph Convolutional Neural Networks in Architecture Design
doi	https://doi.org/10.52842/conf.acadia.2020.1.688
source	ACADIA 2020: Distributed Proximities / Volume I: Technical Papers [Proceedings of the 40th Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-95213-0]. Online and Global. 24-30 October 2020. edited by B. Slocum, V. Ago, S. Doyle, A. Marcus, M. Yablonina, and M. del Campo. 688-696.
summary	The nature of the architectural design process can be described along the lines of the following representational devices: the plan and the model. Plans can be considered one of the oldest methods to represent spatial and aesthetic information in an abstract, 2D space. However, to be used in the design process of 3D architectural solutions, these representations are inherently limited by the loss of rich information that occurs when compressing the three-dimensional world into a two-dimensional representation. During the first Digital Turn (Carpo 2013), the sheer amount and availability of models increased dramatically, as it became viable to create vast amounts of model variations to explore project alternatives among a much larger range of different physical and creative dimensions. 3D models show how the design object appears in real life, and can include a wider array of object information that is more easily understandable by nonexperts, as exemplified in techniques such as building information modeling and parametric modeling. Therefore, the ground condition of this paper considers that the inherent nature of architectural design and sensibility lies in the negotiation of 3D space coupled with the organization of voids and spatial components resulting in spatial sequences based on programmatic relationships, resulting in an assemblage (DeLanda 2016). These conditions constitute objects representing a material culture (the built environment) embedded in a symbolic and aesthetic culture (DeLanda 2016) that is created by the designer and captures their sensibilities.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	caadria2016_445
id	caadria2016_445
authors	Silvestre, Joaquim; Franc?ois Gue?na and Yasushi Ikeda
year	2016
title	Edition-Oriented 3D Model Rebuilt from Photography
doi	https://doi.org/10.52842/conf.caadria.2016.445
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. 445-454
summary	The topic of this paper is about a technique to turn pictures into an intuitively modifiable 3D model. The research employs an analytical method using algorithms to conceptualise and digital- ise architectural spaces in order to highlight parametric shapes. Usual- ly, from one group of digital photos, photogrammetry techniques pro- duce a 3D-model mesh through a high-density 3D point cloud. This discordance between our intuitive partitioning of the mesh and its bare polygonal structure makes it interact poorly compared to the af- fordance of shape and component in our daily experience. Through a capture device, a visualisation of architecture in a digital data form is produced. They are processed by computer vision algorithms and ma- chine learning systems in order to be refined into a parametric model. Parametric elements can be described as a compound of formulas and parameters. By keeping the formula and changing the parameters, the- se elements can be easily modified in a range of likenesses. After be- ing detected during scans, these shapes can be adapted to fit the inten- tion of the designer during the design phase.
keywords	Photogrammetry; convolutional neural network; 3D model; design tool
series	CAADRIA
email
last changed	2022/06/07 07:56

_id	acadia16_332
id	acadia16_332
authors	Retsin, Gilles; Garcia, Manuel Jimenez
year	2016
title	Discrete Computational Methods for Robotic Additive Manufacturing: Combinatorial Toolpaths
doi	https://doi.org/10.52842/conf.acadia.2016.332
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
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	acadia16_44
id	acadia16_44
authors	Sanchez, Jose
year	2016
title	Combinatorial design: Non-parametric computational design strategies
doi	https://doi.org/10.52842/conf.acadia.2016.044
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. 44-53
summary	This paper outlines a framework and conceptualization of combinatorial design. Combinatorial design is a term coined to describe non-parametric design strategies that focus on the permutation, combination and patterning of discrete units. These design strategies differ substantially from parametric design strategies as they do not operate under continuous numerical evaluations, intervals or ratios but rather finite discrete sets. The conceptualization of this term and the differences with other design strategies are portrayed by the work done in the last 3 years of research at University of Southern California under the Polyomino agenda. The work, conducted together with students, has studied the use of discrete sets and combinatorial strategies within virtual reality environments to allow for an enhanced decision making process, one in which human intuition is coupled to algorithmic intelligence. The work of the research unit has been sponsored and tested by the company Stratays for ongoing research on crowd-sourced design.
keywords	non-parametric computational design strategies, permutations, combinatorics, building systems, game design, crowdsourcing, computation
series	ACADIA
type	paper
email
last changed	2022/06/07 07:56

_id	ecaade2016_210
id	ecaade2016_210
authors	Abdelmohsen, Sherif, Massoud, Passaint and Elshafei, Ahmed
year	2016
title	Using Tensegrity and Folding to Generate Soft Responsive Architectural Skins
doi	https://doi.org/10.52842/conf.ecaade.2016.1.529
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. 529-536
summary	This paper describes the process of designing a prototype for a soft responsive system for a kinetic building facade. The prototype uses lightweight materials and mechanisms to generate a building facade skin that is both soft (less dependent on hard mechanical systems) and responsive (dynamically and simultaneously adapting to spatial and environmental conditions). By combining concepts stemming from both tensegrity structures and folding mechanisms, we develop a prototype that changes dynamically to produce varying facade patterns and perforations based on sensor-network data and feedback. We use radiation sensors and shape memory alloys to control the prototype mechanism and allow for the required parametric adaptation. Based on the data from the radiation sensors, the lengths of the shape memory alloys are altered using electric wires and are parametrically linked to the input data. The transformation in the resulting overall surface is directly linked to the desired levels of daylighting and solar exposure. We conclude with directions for future research, including full scale testing, advanced simulation, and multi-objective optimization.
wos	WOS:000402063700058
keywords	Soft responsive systems; tensegrity; folding; kinetic facades
series	eCAADe
email
last changed	2022/06/07 07:54

_id	ascaad2021_151
id	ascaad2021_151
authors	Allam, Samar; Soha El Gohary, Maha El Gohary
year	2021
title	Surface Shape Grammar Morphology to Optimize Daylighting in Mixed-Use Building Skin
source	Abdelmohsen, S, El-Khouly, T, Mallasi, Z and Bennadji, A (eds.), Architecture in the Age of Disruptive Technologies: Transformations and Challenges [9th ASCAAD Conference Proceedings ISBN 978-1-907349-20-1] Cairo (Egypt) [Virtual Conference] 2-4 March 2021, pp. 479-492
summary	Building Performance simulation is escalating towards design optimization worldwide utilizing computational and advanced tools. Egypt has its plan and agenda to adopt new technologies to mitigate energy consumption through various sectors. Energy consumption includes electricity, crude oil, it encompasses renewable and non-renewable energy consumption. Egypt Electricity (EE) consumption by sector percentages is residential (47%), industrial (25%) and commercial (12%), with the remainder used by government, agriculture, public lighting and public utilities (4%). Electricity building consumption has many divisions includes HVAC systems, lighting, Computers and Electronics and others. Lighting share of electricity consumption can vary from 11 to 15 percent in mixed buildings as in our case study which definitely less that the amount used for HVAC loads. This research aims at utilizing shape morphogenesis on facades using geometric shape grammar to enhance daylighting while blocking longwave radiations causing heat stress. Mixed-use building operates in daytime more than night which emphasizes the objective of this study. Results evaluation is referenced to LEED v4.1 and ASHRAE 90.1-2016 window-to-wall ratio calibration and massive wall description. Geometric morphogenesis relies on three main parameters; Pattern (Geometry Shape Grammar: R1, R2, and R3), a reference surface to map from, and a target surface to map to which is the south-western façade of the case study. Enhancing Geo-morph rule is to guarantee flexibility due to the rotation of sun path annually with different azimuth and altitude angles and follow LEED V4.1 enhancements of opaque wall percent for building envelope.
series	ASCAAD
email
last changed	2021/08/09 13:13

_id	caadria2020_043
id	caadria2020_043
authors	Bai, Nan, Nourian, Pirouz, Xie, Anping and Pereira Roders, Ana
year	2020
title	Towards a Finer Heritage Management - Evaluating the Tourism Carrying Capacity using an Agent-Based Model
doi	https://doi.org/10.52842/conf.caadria.2020.1.305
source	D. Holzer, W. Nakapan, A. Globa, I. Koh (eds.), RE: Anthropocene, Design in the Age of Humans - Proceedings of the 25th CAADRIA Conference - Volume 1, Chulalongkorn University, Bangkok, Thailand, 5-6 August 2020, pp. 305-314
summary	As one of the most important areas in the Palace Museum, Beijing, China, the Hall of Mental Cultivation had suffered from overcrowding of visitors before it was closed in 2016 for conservation. Preparing for the reopening in 2020, the Palace Museum decided to take the chance and initiate finer-grained tourism management in the Hall. This research intends to provide an audio-guided touring program by dynamically evaluating the Tourism Carrying Capacity (TCC) with the highlight spots in the Hall, to operate the touring program spatiotemporally. Framing an optimization problem for the touring program, an agent-based simulator, Thunderhead Pathfinder, originally developed for evacuation in the emergency, is utilized to verify the performance of the touring system. The simulation shows that the proposed touring program could precisely fit all the key requirements to improve the visitors' experience, to guarantee heritage safety, and to ensure more efficient management.
keywords	Tourism Carrying Capacity; Agent-Based Simulation; Operations Research; Heritage Management
series	CAADRIA
email
last changed	2022/06/07 07:54

_id	ecaade2017_280
id	ecaade2017_280
authors	Baldissara, Matteo, Perna, Valerio, Saggio, Antonino and Stancato, Gabriele
year	2017
title	Plug-In Design - Reactivating the Cities with responsive Micro-Architectures. The Reciprocal Experience
doi	https://doi.org/10.52842/conf.ecaade.2017.2.571
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. 571-580
summary	Every city has under utilized spaces that create a series of serious negative effects. Waiting for major interventions, those spaces can be reactivated and revitalized with soft temporary projects: micro interventions that light up the attention, give new meaning and add a new reading to abandoned spaces. We can call this kind of operations "plug-in design", inheriting the term from computer architecture: interventions which aim to involve the citizens and activate the environment, engage multiple catalyst processes and civil actions. Plug-in design interventions are by all meanings experimental, they seek for interaction with the users, locally and globally. Information Technology - with its parametric and site-specific capabilities and interactive features - can be instrumental to create such designs and generate a new consciousness of the existing environment. With this paper we will illustrate how two low-budget interventions have re-activated a forgotten public space. Parametric design with a specific script allowing site-specific design, materials and structure optimization and a series of interactive features, will be presented through Reciprocal 1.0 and Reciprocal 2.0 projects which have been built in 2016 in Italy by the nITro group.
keywords	reciprocal frame; parametric design; responsive technology; plug-in design; interactivity; re-activate
series	eCAADe
email
last changed	2022/06/07 07:54

_id	caadria2016_383
id	caadria2016_383
authors	Beorkrem, C.; J. Ellinger, P. Bernstein and A. Hauck
year	2016
title	Multivariate Schematic Design Tooling
doi	https://doi.org/10.52842/conf.caadria.2016.383
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. 383-394
summary	This paper will examine the results from a research collaboration between (BIM Software Manufacturer) and (School), whose problem statement focused on supporting robust interoperability by defining goals focused on multivariate conceptual design tools. The collaboration included design faculty, students and software professionals, the latter providing access to a broad range of design simulation tools either commercially available or currently in development. The tools were developed first through case studies and background research, followed by the design and implementation of novel computational methods advancing the architectural design workflow by seeking to create comparative tools which allow a designer to connect multiple data typologies in a single model. With advanced computational tools employed both as standalone resources and embedded in parametric loops, we sought to provide immediate feedback on design goals.
keywords	Building information modelling; simulation and prediction; education; optimization; scripting
series	CAADRIA
email
last changed	2022/06/07 07:54

_id	ecaade2016_098
id	ecaade2016_098
authors	Bia³kowski, Sebastian
year	2016
title	Structural Optimisation Methods as a New Toolset for Architects
doi	https://doi.org/10.52842/conf.ecaade.2016.2.255
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
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.
wos	WOS:000402064400025
keywords	topology optimization; design support tools; complex geometries; finite element method; CUDA
series	eCAADe
email
last changed	2022/06/07 07:54

_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	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	caadria2016_259
id	caadria2016_259
authors	Chen, Jia-Yih and Shao-Chu Huang
year	2016
title	Adaptive Building Facade Optimisation: An integrated Green-BIM approach
doi	https://doi.org/10.52842/conf.caadria.2016.259
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. 259-268
summary	This study focused on the optimal design of adaptive build- ing fac?ade for achieving better energy performance. Iterative fac?ade components design are studied between virtual and physical models with integrated tools of BIM, parametric design and sensor devices. The main objectives of this study are: (1) exploring systematic design process via the analysis of adaptive components in responsive fac?ade design; (2) developing compliance checking system for green building regulations; (3) developing optimization system for adaptive fac?ade design process. This paper demonstrated the integration of various digital design methods and concluded with the energy modelling re- sults of a demo project unit for various fac?ade component designs.
keywords	Building fac?ade design; energy performance; design optimization; parametric design; BIM
series	CAADRIA
email
last changed	2022/06/07 07:55

_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
doi	https://doi.org/10.52842/conf.ecaade.2016.2.117
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
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.
wos	WOS:000402064400011
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_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
doi	https://doi.org/10.52842/conf.acadia.2016.106
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
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
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last changed	2022/06/07 07:55

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