Cumincad : CUMINCAD Papers : Search Results

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

PDF papers
References

Hits 1 to 20 of 645

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

_id	ecaade2020_133
id	ecaade2020_133
authors	Andrade Zandavali, Barbara, Paul Anderson, Joshua and Patel, Chetan
year	2020
title	Embodied Learning through Fabrication Aware Design
source	Werner, L and Koering, D (eds.), Anthropologic: Architecture and Fabrication in the cognitive age - Proceedings of the 38th eCAADe Conference - Volume 2, TU Berlin, Berlin, Germany, 16-18 September 2020, pp. 145-154
doi	https://doi.org/10.52842/conf.ecaade.2020.2.145
summary	The contemporary culture of geometry-driven design stands as consequence of an institutionalised segregation between the fields of architecture, structure and construction. In turn, digital design methods that are both material and fabrication aware from the outset create space for uncertainty and the potential for embodied learning. Following this principle, this paper summarises the outcomes of a workshop developed to investigate the contribution of fabrication aware design methods in the production of a masonry block using both analogue and digital manufacturing. Students were to develop and investigate a design, through assembly techniques and configurations orientated around manual hot wire cutting, robotic tooling and three-dimensional printing. Outcomes were manufactured and compared regarding work precision, production time, material efficiency, cost and scalability. The analysis indicated that the most accurate results yielded from the robotic tooling system, and simultaneously exhibited the most efficient use of time, while the three-dimensional printer generated the least material waste, due to the nature of additive production. Fabrication aware design and comparative analysis enabled students to make more informed decisions while the use of rapid prototyping facilitated a relationship between digitalization and materiality allowing for a space in which uncertainty and reflection could be fostered. Reinforcing that fabrication aware design methods can unify the field and provide guidance to designers over multi-lateral aspects of a project.
keywords	Fabrication-Aware Design; Rapid Prototyping; Embodiment
series	eCAADe
email
last changed	2022/06/07 07:54

_id	ecaade2020_404
id	ecaade2020_404
authors	Singh, Manav Mahan, Schneider-Marin, Patricia, Harter, Hannes, Lang, Werner and Geyer, Philipp
year	2020
title	Applying Deep Learning and Databases for Energy-efficient Architectural Design - Abstract
source	Werner, L and Koering, D (eds.), Anthropologic: Architecture and Fabrication in the cognitive age - Proceedings of the 38th eCAADe Conference - Volume 2, TU Berlin, Berlin, Germany, 16-18 September 2020, pp. 79-87
doi	https://doi.org/10.52842/conf.ecaade.2020.2.079
summary	The reduction of energy consumption of buildings requires consideration in early design phases. However, modelling and computation time required for dynamic energy simulations makes them inappropriate in the early phases. This paper presents a performance prediction approach for these phases that is embedded in a multi-level-of-development modelling approach. First, parametric pre-trained modular deep learning components are embedded in the building elements. The energy performance is predicted by composing these components. Second, embodied energy assessment is performed by extracting the information from a database. A calculation module queries the database and calculates the embodied energy. Both, embodied and operational, energy are assembled to predict lifecycle energy demand. The method has been implemented prototypically in a digital modelling environment Revit. A case study serves to demonstrate the application process, the user interaction and the information flows. It shows energy prediction in early design phases to enhance the environmental performance of the building.
keywords	BIM; Operational Energy; Embodied Energy; Life-cycle Energy Demand; Early Design Phases
series	eCAADe
email
last changed	2022/06/07 07:56

_id	caadria2020_177
id	caadria2020_177
authors	Wortmann, Thomas and Fischer, Thomas
year	2020
title	Does Architectural Design Optimization Require Multiple Objectives? - A critical analysis
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. 365-374
doi	https://doi.org/10.52842/conf.caadria.2020.1.365
summary	This paper analyzes eight assumptions that underly the general consensus in the computer-aided architectural design community that multi-objective optimization is more appropriate for and more analogous to architectural design processes than single-objective optimization. The paper discusses whether (a) architectural problems are best formulated as multi-objective optimization problems, (b) architectural design optimization is only about negotiating tradeoffs, (c) multiple objectives require multi-objective optimization, (d) Pareto fronts represent design spaces, (e) Pareto fronts require multi-objective optimization, (f) multi-objective algorithms are efficient and robust, (g) evolutionary operators make multi-objective algorithms efficient and robust and whether (h) computational cost is negligible. The paper presents practical examples of combining multiple objectives into one and concludes with recommendations for when to use single- and multi-objective optimization, respectively, and directions for future research.
keywords	Multi-objective optimization; Architectural Design; Scalarization; Pareto front; Evolutionary Optimization
series	CAADRIA
email
last changed	2022/06/07 07:57

_id	ecaade2020_284
id	ecaade2020_284
authors	Tan, Rachel, Patt, Trevor, Koh, Seow Jin and Chen, Edmund
year	2020
title	Exploration & Validation - Making sense of generated data in large option sets
source	Werner, L and Koering, D (eds.), Anthropologic: Architecture and Fabrication in the cognitive age - Proceedings of the 38th eCAADe Conference - Volume 1, TU Berlin, Berlin, Germany, 16-18 September 2020, pp. 653-662
doi	https://doi.org/10.52842/conf.ecaade.2020.1.653
summary	The project is a real-world case study where we advised our client in the selection of a viable and well-performing design from a set of computationally generated options. This process was undertaken while validating the algorithmic generative process and user-defined evaluation criteria through scrutinizing the other alternative options to ensure ample variability was considered. Optimisation algorithms were not ideal as low performing options were not visible to validate variability. We established variability by extracting the different groups of options, proving to the client that various operational behaviours were present and accounted for. In order to sieve through the noise and derive meaningful results, we employed methods to filter through thousands of options, including: k-means clustering, archetypal labelling and analysis, pareto front analysis and visualisation overlays. We present a sense-making and decision-making process that utilizes principles of genetic algorithms and analysis of multi-dimensional user-derived evaluation scores. To enable the client's confidence in the computational model, we proved the effectiveness of the generative model through communicating and visualizing the impact of different criterias. This ensured that operational needs were considered. The visualization methods we employed, including pareto front extraction and analysis eventually helped our clients to arrive at a decision.
keywords	generative design; validation; multi-objective optimisation; k-means; pareto front; decision-making
series	eCAADe
email
last changed	2022/06/07 07:56

_id	ecaade2020_411
id	ecaade2020_411
authors	Muehlbauer, Manuel, Song, Andy and Burry, Jane
year	2020
title	Smart Structures - A Generative Design Framework for Aesthetic Guidance in Structural Node Design - Application of Typogenetic Design for Custom-Optimisation of Structural Nodes
source	Werner, L and Koering, D (eds.), Anthropologic: Architecture and Fabrication in the cognitive age - Proceedings of the 38th eCAADe Conference - Volume 1, TU Berlin, Berlin, Germany, 16-18 September 2020, pp. 623-632
doi	https://doi.org/10.52842/conf.ecaade.2020.1.623
summary	Virtual prototypes enable performance simulation for building components. The presented research extended the application of generative design using virtual prototypes for interactive optimisation of structural nodes. User-interactivity contributed to the geometric definition of design spaces rather than the final geometric outcome, enabling another stage of generative design for the micro-structure of the structural node. In this stage, the micro-structure inside the design space was generated using fixed topology. In contrast to common optimisation strategies, which converge towards a single optimal outcome, the presented design exploration process allowed the regular review of design solutions. User-based selection guided the evolutionary process of design space exploration applying Online Classification. Another guidance mechanism called Shape Comparison introduced an intelligent control system using an inital image input as design reference. In this way, aesthetic guidance enabled the combined evaluation of quantitative and qualitative criteria in the custom-optimisation of structural nodes. Interactive node design extended the potential for shape variation of custom-optimized structural nodes by addressing the geometric definition of design spaces for multi-scalar structural optimisation.
keywords	generative design; evolutionary computation; interactive machine learning; typogenetic design
series	eCAADe
email
last changed	2022/06/07 07:58

_id	sigradi2020_349
id	sigradi2020_349
authors	González-Böhme, Luis Felipe; García-Alvarado, Rodrigo; Quitral-Zapata, Francisco Javier; Valenzuela-Astudillo, Eduardo Antonio
year	2020
title	SISCOM: Cooperative Multi-Robot Systems in Construction
source	SIGraDi 2020 [Proceedings of the 24th Conference of the Iberoamerican Society of Digital Graphics - ISSN: 2318-6968] Online Conference 18 - 20 November 2020, pp. 349-356
summary	We present an ongoing research project focused on the development of more efficient setups for cooperative multi-robot systems in 3D-printed construction. Early kinematic simulations of a mobile robotic cell prototype with two ceiling-mounted orbiting manipulators have provided new insights into 3D printing topology. An extrusion nozzle is mounted on each collaborative robot whose primary function is to match the extrusion path to the print contour while they move along a circular path. The challenge of setting up on site a semi-structured environment for cooperative multi-robot 3D printing led us to think up a new species of construction 3D printer.
keywords	3D-Printed construction, Cooperative multi-robot system, Mobile robotic cell, Collaborative robot, Robots in architecture
series	SIGraDi
email
last changed	2021/07/16 11:49

_id	ecaade2020_172
id	ecaade2020_172
authors	Leder, Samuel, Weber, Ramon, Vasey, Lauren, Yablonina, Maria and Menges, Achim
year	2020
title	Voxelcrete - Distributed voxelized adaptive formwork
source	Werner, L and Koering, D (eds.), Anthropologic: Architecture and Fabrication in the cognitive age - Proceedings of the 38th eCAADe Conference - Volume 2, TU Berlin, Berlin, Germany, 16-18 September 2020, pp. 433-442
doi	https://doi.org/10.52842/conf.ecaade.2020.2.433
summary	Advances in computational form finding and simulation enable the creation of highly efficient structurally aware freeform geometries. Using significantly less material than standardized building elements there are significant challenges in their materialization. We present Voxelcrete, a discrete, voxel-based, reconfigurable slip formwork system for the creation of non-standard concrete structures. We aim to transition from highly individualized and complex formworks tailored for individual structures to simple formworks that can be reused and reconfigured to realize a variety of designs. Voxelcrete is a robotically tended formwork system in which modular formwork units are iteratively arranged for continuous casts of concrete. The system allows for the production of large scale concrete objects using reconfigurable, adaptive formwork. This paper shows the conceptualization and development of the system and expands on the existing notion of adaptive formwork
keywords	Reconfigurable Formwork; Concrete Construction; Robotic Fabrication; Voxels; Discrete Architecture
series	eCAADe
email
last changed	2022/06/07 07:52

_id	ecaade2020_016
id	ecaade2020_016
authors	Martinho, Helena, Pereira, Ines, Feist, Sofia and Leitao, António
year	2020
title	Integrated Algorithmic Design in Practice - A Renovation Case Study
source	Werner, L and Koering, D (eds.), Anthropologic: Architecture and Fabrication in the cognitive age - Proceedings of the 38th eCAADe Conference - Volume 1, TU Berlin, Berlin, Germany, 16-18 September 2020, pp. 429-438
doi	https://doi.org/10.52842/conf.ecaade.2020.1.429
summary	The lack of interoperability and the diversity of required documentation in the development of architectural projects often results in inefficient design processes. Integrated design approaches such as Building Information Modeling seek to tackle this problem, but still require strenuous and time-consuming manual work when it comes to design exploration and the implementation of design changes. Algorithmic design approaches facilitate this process by supporting quick change propagation and exploration of design variations, as well as automating the production of the required documentation. This paper presents an integrated algorithmic design workflow, encompassing all design stages, from conceptual design to fabrication. The workflow is tested throughout the design, analysis, visualization, and fabrication of a classroom renovation project, resulting in a more fluid and efficient design process.
keywords	Algorithmic Design ; Algorithmic Analysis; Integrated Design Workflow; Digital Fabrication
series	eCAADe
email
last changed	2022/06/07 07:59

_id	caadria2020_035
id	caadria2020_035
authors	Pereira, InÃªs, BelÃ©m, Catarina and LeitÃ£o, AntÃ³nio
year	2020
title	Escaping Evolution - A Study on Multi-Objective Optimization
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. 295-304
doi	https://doi.org/10.52842/conf.caadria.2020.1.295
summary	The architectural field is currently experiencing a paradigm shift towards a more environmentally-aware design process. In this new paradigm, known as Performance-Based Design (PBD), building performance emerges as a guiding principle. Unfortunately, PBD entails several problems, for instance, building design is often associated with the simultaneous assessment of multiple performance criteria, which dramatically increases the complexity of the problem. In this vein, recent works claim that coupling optimization tools with PBD approaches allows for more efficient and optima-oriented strategies. This approach, known as Algorithmic Optimization, is based on the use of an optimization tool combined with a parametric model of a design to iteratively generate more efficient design alternatives. This paper focus on evaluating and comparing different classes of Multi-Objective Optimization (MOO) algorithms, namely, metaheuristics and model-based ones. In addition, in order to try to better understand the algorithms' suitability to different optimization problems, this research analyses two different MOO design problems.
keywords	Performance-Based Design; Algorithmic Optimization; Multi-Objective Optimization
series	CAADRIA
email
last changed	2022/06/07 08:00

_id	acadia20_556
id	acadia20_556
authors	Prado, Marshall
year	2020
title	Computational Design of Fiber Composite Tower Structures
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. 556-563.
doi	https://doi.org/10.52842/conf.acadia.2020.1.556
summary	This paper describes the computational design aspects of large-scale fiber composite tower structures that are fabricated using novel coreless filament winding processes. Current research on coreless filament winding has shown how high-performance composite materials can be used for many architectural scenarios; however, structural typologies for towers have never been tested. Additionally, biomimetic research on the lightweight lattice systems of cactus skeletons has demonstrated the potential for using interconnected multinodal component geometries to make efficient, tall structures. New integrated computational design and fabrication processes are required to utilize multi-nodal components in composite towers. These processes integrate biomimetic principles, structural performance, material organization, and fabrication logic. The goal of this research is to streamline the form-finding process, to more accurately simulate coreless wound geometries, and to develop adaptive fiber simulation processes for winding syntax development and robotic fiber winding. These techniques improved accuracy and control over existing methods of fabrication for coreless wound structures while simultaneously making the process more efficient. The research presented here will describe and showcase the key improvements used in the design and fabrication of a full-scale architectural demonstrator.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	caadria2020_009
id	caadria2020_009
authors	Wang, Likai, Chen, Kian Wee, Janssen, Patrick and Ji, Guohua
year	2020
title	Algorithmic generation of architectural Massing Models for building design optimisation - Parametric Modelling Using Subtractive and Additive Form Generation Principles
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. 385-394
doi	https://doi.org/10.52842/conf.caadria.2020.1.385
summary	Using performance-based optimisation to explore unknown design solutions space has become widely acknowledged and considered an efficient approach to designing high-performing buildings. However, the lack of design diversity in the design space defined by the parametric model often confines the search of the optimisation process to a family of similar design variants. In order to overcome this weakness, this paper presents two parametric massing generation algorithms based on the additive and subtractive form generation principles. By abstracting the rule of these two principles, the algorithms can generate diverse building massing design alternatives. This allows the algorithms to be used in performance-based optimisation for exploring a wide range of design alternatives guided by various performance objectives. Two case studies of passive solar energy optimisation are presented to demonstrate the efficacy of the algorithm in helping architects achieve an explorative performance-based optimisation process.
keywords	parametric massing algorithms; performance-based optimisation; design exploration; solar irradiation
series	CAADRIA
email
last changed	2022/06/07 07:58

_id	acadia20_236p
id	acadia20_236p
authors	Anton, Ana; Jipa, Andrei; Reiter, Lex; Dillenburger, Benjamin
year	2020
title	Fast Complexity
source	ACADIA 2020: Distributed Proximities / Volume II: Projects [Proceedings of the 40th Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-95253-6]. Online and Global. 24-30 October 2020. edited by M. Yablonina, A. Marcus, S. Doyle, M. del Campo, V. Ago, B. Slocum. 236-241
summary	The concrete industry is responsible for 8% of the global CO2 emissions. Therefore, using concrete in more complex and optimized shapes can have a significant benefit to the environment. Digital fabrication with concrete aims to overcome the geometric limitations of standardized formworks and thereby reduce the ecological footprint of the building industry. One of the most significant material economy potentials is in structural slabs because they represent 85% of the weight of multi-story concrete structures. To address this opportunity, Fast Complexity proposes an automated fabrication process for highly optimized slabs with ornamented soffits. The method combines reusable 3D-printed formwork (3DPF) and 3D concrete printing (3DCP). 3DPF uses binder-jetting, a process with submillimetre resolution. A polyester coating is applied to ensure reusability and smooth concrete surfaces otherwise not achievable with 3DCP alone. 3DPF is selectively used only where high-quality finishing is necessary, while all other surfaces are fabricated formwork-free with 3DCP. The 3DCP process was developed interdisciplinary at ETH Zürich and employs a two-component material system consisting of Portland cement mortar and calcium aluminate cement accelerator paste. This fabrication process provides a seamless transition from digital casting to 3DCP in a continuous automated process. Fast Complexity selectively uses two complementary additive manufacturing methods, optimizing the fabrication speed. In this regard, the prototype exhibits two different surface qualities, reflecting the specific resolutions of the two digital processes. 3DCP inherits the fine resolution of the 3DPF strictly for the smooth, visible surfaces of the soffit, for which aesthetics are essential. In contrast, the hidden parts of the slab use the coarse resolution specific to the 3DCP process, not requiring any formwork and implicitly achieving faster fabrication. In the context of an increased interest in construction additive manufacturing, Fast Complexity explicitly addresses the low resolution, lack of geometric freedom, and limited reinforcement options typical to layered extrusion 3DCP, as well as the limited customizability in concrete technology.
series	ACADIA
type	project
email
last changed	2021/10/26 08:08

_id	ecaade2020_272
id	ecaade2020_272
authors	De Luca, Francesco and Wortmann, Thomas
year	2020
title	Multi-Objective Optimization for Daylight Retrofit
source	Werner, L and Koering, D (eds.), Anthropologic: Architecture and Fabrication in the cognitive age - Proceedings of the 38th eCAADe Conference - Volume 1, TU Berlin, Berlin, Germany, 16-18 September 2020, pp. 57-66
doi	https://doi.org/10.52842/conf.ecaade.2020.1.057
summary	In sustainable building design, daylight improves occupants' wellbeing and reduces electric lighting use, but glazed areas can increase energy consumption for heating and cooling. Conflicting objectives such as daylight and energy consumption are the primary motivation behind multi-objective optimization. This paper presents the multi-objective optimization problem of maximizing daylight availability and minimizing whole energy consumption for the daylight retrofit of Tallinn University of Technology assembly hall, currently windowless. We present benchmark results of six different multi-objective algorithms and analyze the solutions on the best-known Pareto front. The majority of the analyzed solutions allow for adequate daylight provision of the building without additional energy consumption. Results of daylight and energy simulations for the analyzed solutions, are presented and discussed.
keywords	Daylight; Energy efficiency; Retrofit; Parametric design; Multi-objective optimization
series	eCAADe
email
last changed	2022/06/07 07:55

_id	caadria2020_273
id	caadria2020_273
authors	Shuyan, Zhu and Chenlong, Ma
year	2020
title	An Informed Method - Visualization for Multi-objective Optimization in Conceptual Design Phase
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. 425-434
doi	https://doi.org/10.52842/conf.caadria.2020.1.425
summary	The relationship of different performance objects may be very complicated that designers can't guarantee the improvement of one object don't affect the others. Multi-objective optimization algorithms provide Pareto optimal design solutions, but because of the nonlinearity introduced by the objective functions, the relationships in the objective space do not extend to the decision variable space and vice versa. Based on the design of building blocks and west facade in a practical project, the paper put forward a visualized method for optimization process of building performance, and combine the multi-objective optimization algorithm with the visualization of fitness landscape, so that architects can easily obtain the knowledge of complex relationships between building performance and building parameters. It is more conducive to obtain a design scheme which can balance the requirements of appearance and performance at the same time, and achieve the ultimate goal of improving the efficiency of design.
keywords	Visualization; Multi-objective optimization; Fitness landscape
series	CAADRIA
email
last changed	2022/06/07 07:56

_id	sigradi2020_260
id	sigradi2020_260
authors	Bhattacharya, Maharshi; Jung, Francisco
year	2020
title	Multi-Mission Space Exploration Vehicle (MMSEV) Nosecone Design Optimization
source	SIGraDi 2020 [Proceedings of the 24th Conference of the Iberoamerican Society of Digital Graphics - ISSN: 2318-6968] Online Conference 18 - 20 November 2020, pp. 260-266
summary	This paper addresses ergonomic drawbacks in NASA’s modular Multi-Mission Space Exploration Vehicle’s (MMSEV) latest prototype, 2B’s nosecone, to propose new iteration based on considerations such as mass minimization, visibility maximization, and structural integrity. With 2B as a benchmark, and using computational tools typically used in the AEC industry to carry out FEA analysis, comparisons are made with potential design changes. The numerical and visual data such as weight, and stress distribution, provided by the benchmark analysis, served as metrics for comparison and redesign. In turn, this design development exercise attempts to bring together the different design approaches to design, held by human- factors designers and structural engineers.
keywords	Form, Optimization, Finite Element Analysis, Space-Exploration Vehicle, Stress-Analysis
series	SIGraDi
email
last changed	2021/07/16 11:49

_id	acadia20_584
id	acadia20_584
authors	Brás, Catarina; Castelo-Branco, Renata; Menezes Leitao, António
year	2020
title	Parametric Model Manipulation in Virtual Reality
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. 584-593.
doi	https://doi.org/10.52842/conf.acadia.2020.1.584
summary	Algorithmic design (AD) uses algorithms to describe architectural designs, producing results that are visual by nature and greatly benefit from immersive visualization. Having this in mind, several approaches have been developed that allow architects to access and change their AD programs in virtual reality (VR). However, programming in VR introduces a new level of complexity that hinders creative exploration. Solutions based in visual programming offer limited parameter manipulation and do not scale well, particularly when used in a remote collaboration environment, while those based in textual programming struggle to find adequate interaction mechanisms to efficiently modify existing programs in VR. This research proposes to ease the programming task for architects who wish to develop and experiment with collaborative textual-based AD in VR, by bringing together the user-friendly features of visual programming and the flexibility and scalability of textual programming. We introduce an interface for the most common parametric changes that automatically generates the corresponding code in the AD program, and a hybrid programming solution that allows participants in an immersive collaborative design experience to combine textual programming with this new visual alternative for the parametric manipulation of the design. The proposed workflow aims to foster remote collaborative work in architecture studios, offering professionals of different backgrounds the opportunity to parametrically interact with textual-based AD projects while immersed in them.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	ecaade2020_307
id	ecaade2020_307
authors	Caetano, Ines and Leitao, António
year	2020
title	When the Geometry Informs the Algorithm - A hybrid visual/textual programming framework for facade design
source	Werner, L and Koering, D (eds.), Anthropologic: Architecture and Fabrication in the cognitive age - Proceedings of the 38th eCAADe Conference - Volume 2, TU Berlin, Berlin, Germany, 16-18 September 2020, pp. 371-380
doi	https://doi.org/10.52842/conf.ecaade.2020.2.371
summary	Facade design is becoming increasingly complex, forcing architects to more frequently resort to analysis and optimization processes. However, these processes are time-consuming and require the coordination of multiple tools. Algorithmic Design (AD) has the potential to overcome these limitations through the use of algorithms implemented in Textual Programming Languages (TPLs) or Visual Programming Languages (VPLs). VPLs are more used in architecture due to their smoother learning curve and user-friendliness, but TPLs are better suited than VPLs for handling complex AD problems. To make TPLs more appealing to architects, we incorporated VPLs' features in the textual paradigm, namely, Visual Input Mechanisms (VIMs). In this paper, we propose an extension to an existing AD framework for the design exploration, analysis, and optimization of facades to support a TPL-based approach that handles VIMs.
keywords	Algorithmic Design; Facade Design; Textual Languages; Visual Input
series	eCAADe
email
last changed	2022/06/07 07:54

_id	cdrf2019_159
id	cdrf2019_159
authors	Hang Zhang and Ye Huang
year	2020
title	Machine Learning Aided 2D-3D Architectural Form Finding at High Resolution
source	Proceedings of the 2020 DigitalFUTURES The 2nd International Conference on Computational Design and Robotic Fabrication (CDRF 2020)
doi	https://doi.org/https://doi.org/10.1007/978-981-33-4400-6_15
summary	In the past few years, more architects and engineers start thinking about the application of machine learning algorithms in the architectural design field such as building facades generation or floor plans generation, etc. However, due to the relatively slow development of 3D machine learning algorithms, 3D architecture form exploration through machine learning is still a difficult issue for architects. As a result, most of these applications are confined to the level of 2D. Based on the state-of-the-art 2D image generation algorithm, also the method of spatial sequence rules, this article proposes a brand-new strategy of encoding, decoding, and form generation between 2D drawings and 3D models, which we name 2D-3D Form Encoding WorkFlow. This method could provide some innovative design possibilities that generate the latent 3D forms between several different architectural styles. Benefited from the 2D network advantages and the image amplification network nested outside the benchmark network, we have significantly expanded the resolution of training results when compared with the existing form-finding algorithm and related achievements in recent years
series	cdrf
email
last changed	2022/09/29 07:51

_id	ijac202018407
id	ijac202018407
authors	Marcelo Bernal, Victor Okhoya, Tyrone Marshall, Cheney Chen and John Haymaker
year	2020
title	Integrating expertise and parametric analysis for a data-driven decision-making practice
source	International Journal of Architectural Computing vol. 18 - no. 4, 424–440
summary	This study explores the integration of expert design intuition and parametric data analysis. While traditional professional design expertise helps to rapidly frame relevant aspects of the design problem and produce viable solutions, it has limitations in addressing multi-criteria design problems with conflicting objectives. On the other hand, parametric analysis, in combination with data analysis methods, helps to construct and analyze large design spaces of potential design solutions and tradeoffs, within a given frame. We explore a process whereby expert design teams propose a design using their current intuitive and analytical methods. That design is then further optimized using parametric analysis. This study specifically explores the specification of geometric and material properties of building envelopes for two typically conflicting objectives: daylight quality and energy consumption. We compare performance of the design after initial professional design exploration, and after parametric analysis, showing consistently significant performance improvement after the second process. The study explores synergies between intuitive and systematic design approaches, demonstrating how alignment can help expert teams efficiently and significantly improve project performance.
keywords	Performance analysis, parametric analysis, design space, design expertise, data analysis, optimization
series	journal
email
last changed	2021/06/03 23:29

_id	ecaade2020_243
id	ecaade2020_243
authors	Petrov, Martin and Walker, James
year	2020
title	Optioneering Methods for Optimization - Methods of exploring primary and secondary performance criteria in urban design
source	Werner, L and Koering, D (eds.), Anthropologic: Architecture and Fabrication in the cognitive age - Proceedings of the 38th eCAADe Conference - Volume 1, TU Berlin, Berlin, Germany, 16-18 September 2020, pp. 29-36
doi	https://doi.org/10.52842/conf.ecaade.2020.1.029
summary	Architectural design optimization (ADO) is the notion of satisfying performance criteria within a constraint parameter space to find the best solution with the least trade-offs. This process tends to produce a vast amount of designs of varying quality and requires design space exploration (DSE) to review the myriad of designs so that an optimal candidate for design development can be chosen. This paper will explore different applied workflows for using optimization in an urban design competition, which seek to overcome the limitations of using optimization and DSE with a time constraint.
keywords	Optioneering; Architectural Design Optimization; Design Space Exploration; Multi-Objective Optimization; Genetic Algorithms
series	eCAADe
email
last changed	2022/06/07 08:00

For more results click below: