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	ecaade2015_201
id	ecaade2015_201
authors	Marin, Philippe; Blanchi, Yann and Janda, Marian
year	2015
title	Cost Analysis and Data Based Design for Supporting Programmatic Phase
doi	https://doi.org/10.52842/conf.ecaade.2015.1.613
source	Martens, B, Wurzer, G, Grasl T, Lorenz, WE and Schaffranek, R (eds.), Real Time - Proceedings of the 33rd eCAADe Conference - Volume 1, Vienna University of Technology, Vienna, Austria, 16-18 September 2015, pp. 613-618
wos	WOS:000372317300066
summary	Our paper presents research on the development of technologies and methodologies to support preliminary design phases through data based modelling. A digital parametric model informs costs evaluations and supports iterative and visual space exploration solutions. Thanks to associative modelling, the architectural conception is renewed and digital tools support design decision-making in a creative way. We propose to make project cost a design parameter through an interactive handling of a 3D geometric model that is relevant to strategic architectural intentions. In our experimentation, cost calculation spreadsheets are linked to a parametric models. An initial substructure of the building cost is defined based on the architectural concepts. The parametric tool directly informs the evaluation spreadsheet and a real time cost analysis is afforded to the designer. The tool supports the design process by displaying immediate feed back to the designer who can consider and control the financial implications of his hypothesis.
series	eCAADe
email
last changed	2022/06/07 07:59

_id	ecaade2015_195
id	ecaade2015_195
authors	Yildirim, Miray Bas and Mine, Özkar
year	2015
title	A Digital Educational Model for Urban Transformation
doi	https://doi.org/10.52842/conf.ecaade.2015.1.483
source	Martens, B, Wurzer, G, Grasl T, Lorenz, WE and Schaffranek, R (eds.), Real Time - Proceedings of the 33rd eCAADe Conference - Volume 1, Vienna University of Technology, Vienna, Austria, 16-18 September 2015, pp. 483-492
wos	WOS:000372317300052
summary	Current digital design aids offer 3D visualisations to complement the numeric data used for urban design reasoning. We propose a model in a procedural modelling software to support inclusive decision-making processes in urban design. The scope of our study is limited to urban transformation and the parametric model is generated according to building bylaw regulations for urban transformation cases in Turkey.
series	eCAADe
email
more	https://mh-engage.ltcc.tuwien.ac.at/engage/ui/watch.html?id=0f75f488-70d8-11e5-9019-67eeb4949547
last changed	2022/06/07 07:57

_id	acadia17_102
id	acadia17_102
authors	Aparicio, German
year	2017
title	Data-Insight-Driven Project Delivery: Approach to Accelerated Project Delivery Using Data Analytics, Data Mining and Data Visualization
doi	https://doi.org/10.52842/conf.acadia.2017.102
source	ACADIA 2017: DISCIPLINES & DISRUPTION [Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-96506-1] Cambridge, MA 2-4 November, 2017), pp. 102-109
summary	Today, 98% of megaprojects face cost overruns or delays. The average cost increase is 80% and the average slippage is 20 months behind schedule (McKinsey 2015). It is becoming increasingly challenging to efficiently support the scale, complexity and ambition of these projects. Simultaneously, project data is being captured at growing rates. We continue to capture more data on a project than ever before. Total data captured back in 2009 in the construction industry reached over 51 petabytes, or 51 million gigabytes (Mckinsey 2016). It is becoming increasingly necessary to develop new ways to leverage our project data to better manage the complexity on our projects and allow the many stakeholders to make better more informed decisions. This paper focuses on utilizing advances in data mining, data analytics and data visualization as means to extract project information from massive datasets in a timely fashion to assist in making key informed decisions for project delivery. As part of this paper, we present an innovative new use of these technologies as applied to a large-scale infrastructural megaproject, to deliver a set of over 4,000 construction documents in a six-month period that has the potential to dramatically transform our industry and the way we deliver projects in the future. This paper describes a framework used to measure production performance as part of any project’s set of project controls for accelerated project delivery.
keywords	design methods; information processing; data mining; big data; data visualization
series	ACADIA
email
last changed	2022/06/07 07:55

_id	caadria2015_188
id	caadria2015_188
authors	Krakhofer, Stefan and Martin Kaftan
year	2015
title	Augmented Reality Design Decision Support Engine for the Early Building Design Stage
doi	https://doi.org/10.52842/conf.caadria.2015.231
source	Emerging Experience in Past, Present and Future of Digital Architecture, Proceedings of the 20th International Conference of the Association for Computer-Aided Architectural Design Research in Asia (CAADRIA 2015) / Daegu 20-22 May 2015, pp. 231-240
summary	Augmented reality has come a long way and experienced a paradigm shift in 1999 when the ARToolKit was released as open source. The nature of interaction between the physical world and the virtual-world has changed forever. Fortunately for the AECO industry, the transition from traditional Computer Aided Design to virtual building design phrased as Building Information Modeling has created a tremendous potential to adopt Augmented Reality. The presented research is situated in the early design stage of project inception and focuses on supporting informed collective decision-making, characterized by a dynamic back and forth analytical process generating large amounts of data. Facilitation aspects, such as data-collection, storage and access to enable comparability and evaluation are crucial for collective decision-making. The current research has addressed these aspects by means of data accessibility, visualization and presentation. At the core of the project is a custom developed Augmented Reality framework that enables data interaction within the design model. In order to serve as a collaborative decision support engine, the framework also allows multiple models and their datasets to be displayed and exercised simultaneously. The paper demonstrates in the case study the successful application of the AR tool during collaborative design decision meetings.
keywords	Augmented Reality; Design Decision Support; Data Visualization.
series	CAADRIA
email
last changed	2022/06/07 07:51

_id	cf2015_205
id	cf2015_205
authors	Oliveira, Eduardo; Kirley, Michael; Kvan, Tom; Karakiewicz, Justyna and Vaz, Carlos
year	2015
title	Distributed and heterogeneous data analysis for smart urban planning
source	The next city - New technologies and the future of the built environment [16th International Conference CAAD Futures 2015. Sao Paulo, July 8-10, 2015. Electronic Proceedings/ ISBN 978-85-85783-53-2] Sao Paulo, Brazil, July 8-10, 2015, pp. 205.
summary	Over the past decade, ‘smart’ cities have capitalized on new technologies and insights to transform their systems, operations and services. The rationale behind the use of these technologies is that an evidence-based, analytical approach to decision-making will lead to more robust and sustainable outcomes. However, harvesting high-quality data from the dense network of sensors embedded in the urban infrastructure, and combining this data with social network data, poses many challenges. In this paper, we investigate the use of an intelligent middleware – Device Nimbus – to support data capture and analysis techniques to inform urban planning and design. We report results from a ‘Living Campus’ experiment at the University of Melbourne, Australia focused on a public learning space case study. Local perspectives, collected via crowdsourcing, are combined with distributed and heterogeneous environmental sensor data. Our analysis shows that Device Nimbus’ data integration and intelligent modules provide high-quality support for decision-making and planning.
keywords	smart city, smart campus, middleware, data fusion, urban design, urban planning.
series	CAAD Futures
email
last changed	2015/06/29 07:55

_id	ecaade2024_35
id	ecaade2024_35
authors	Agkathidis, Asterios; Song, Yang; Symeonidou, Ioanna
year	2024
title	AI-Assisted Design: Utilising artificial intelligence as a generative form-finding tool in architectural design studio teaching
doi	https://doi.org/10.52842/conf.ecaade.2024.2.619
source	Kontovourkis, O, Phocas, MC and Wurzer, G (eds.), Data-Driven Intelligence - Proceedings of the 42nd Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2024), Nicosia, 11-13 September 2024, Volume 2, pp. 619–628
summary	Artificial Intelligence (AI) tools are currently making a dynamic appearance in the architectural realm. Social media are being bombarded by word-to-image/image-to-image generated illustrations of fictive buildings generated by tools such as ‘Midjourney’, ‘DALL-E’, ‘Stable Diffusion’ and others. Architects appear to be fascinated by the rapidly generated and inspiring ‘designs’ while others criticise them as superficial and formalistic. In continuation to previous research on Generative Design, (Agkathidis, 2015), this paper aims to investigate whether there is an appropriate way to integrate these new technologies as a generative tool in the educational architectural design process. To answer this question, we developed a design workflow consisting of four phases and tested it for two semesters in an architectural design studio in parallel to other studio units using conventional design methods but working on the same site. The studio outputs were evaluated by guest critics, moderators and external examiners. Furthermore, the design framework was evaluated by the students through an anonymous survey. Our findings highlight the advantages and challenges of the utilisation of AI image synthesis tools in the educational design process of an architectural design approach.
keywords	AI, GAI, Generative Design, Design Education
series	eCAADe
email
last changed	2024/11/17 22:05

_id	ecaade2015_37
id	ecaade2015_37
authors	Forster, Julia; Fritz, Sara, Schleicher, Johannes and Rab, Nikolaus
year	2015
title	Developer Tools for Smart Approaches to Responsible-Minded Planning Strategies
doi	https://doi.org/10.52842/conf.ecaade.2015.1.545
source	Martens, B, Wurzer, G, Grasl T, Lorenz, WE and Schaffranek, R (eds.), Real Time - Proceedings of the 33rd eCAADe Conference - Volume 1, Vienna University of Technology, Vienna, Austria, 16-18 September 2015, pp. 545-551
wos	WOS:000372317300059
summary	The city of Vienna follows a long-term initiative to become a Smart City. Within 2050 it aims to reduce 80% of the CO2 emissions (in comparison to 1990) and looks forward to generate ways for a sustainable energy production. (Smart City Framework Strategy 2014) Reaching this targets requires a complex planning process which involves interdisciplinary stakeholders and decision makers. An interactive multi-dimensional environment, comprising spatial objects and data models, is a helpful tool during these planning processes. This paper proposes a suitable path for the development of a structural framework for such an environment. The benefits of such an environment are shown in detail, based on an application of the economic solar heat potential in Vienna.
series	eCAADe
email
last changed	2022/06/07 07:51

_id	cf2015_207
id	cf2015_207
authors	Fukuda, Tomohiro; Ban, Hirokazu; Yagi, Katsuhito and Nishiie, Junro
year	2015
title	Development of high-definition Virtual Reality for historical architectural and urban digital reconstruction: A case study of Azuchi Castle and Old Castle Town in 1581
source	The next city - New technologies and the future of the built environment [16th International Conference CAAD Futures 2015. Sao Paulo, July 8-10, 2015. Electronic Proceedings/ ISBN 978-85-85783-53-2] Sao Paulo, Brazil, July 8-10, 2015, pp. 207.
summary	This study shows fundamental data for constructing a high-definition VR application under the theme of a three-dimensional visualization to restore past architecture and cities. It is difficult for widespread architectural and urban objects to be rendered in real-time. Thus, in this study, techniques for improving the level of detail (LOD) and representation of natural objects were studied. A digital reconstruction project of Azuchi Castle and old castle town was targeted as a case study. Finally, a VR application with specifications of seven million polygons, texture of 1.87 billion pixels, and 1920 × 1080 screen resolution, was successfully developed that could run on a PC. For the developed VR applications, both qualitative evaluation by experts and quantitative evaluation by end users was performed.
keywords	Cultural heritage, digital reconstruction, Virtual Reality, visualization, 3D modeling, presentation.
series	CAAD Futures
email
last changed	2015/06/29 07:55

_id	acadia15_371
id	acadia15_371
authors	Hatefnia, Navid; Ghobad, Marjan
year	2015
title	Computing Outdoor Comfort Based on CBE Thermal Comfort Calculation for Ashrae-55
doi	https://doi.org/10.52842/conf.acadia.2015.371
source	ACADIA 2105: Computational Ecologies: Design in the Anthropocene [Proceedings of the 35th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-53726-8] Cincinnati 19-25 October, 2015), pp. 371-480
summary	Environmental analysis as part of the initial design process, affords precise consideration of the bioclimatic human conditions within the environmental local context. The daily growth in inter alia knowledge of effective parameters in environmental conditions, quality weather data, human thermo-physiology studies – all contribute to improving the potential for achieving a relatively accurate analyses of environmental conditions by overlaying and computing all the climatic and thermo-physiological data. This paper describes a digital method for examining different points in the same context by computing all the input data available to understand the corresponding human comfort condition levels, thus leading to better decision-making at early design stages. Information about the site, climate, human thermo-physiology and behavioral aspects among others are collected where each data parameter is matched and analyzed to the context of every node on the model through a series of specific computational algorithms. Thereafter, the data from the nodes are statistically cleaned, classified and integrated based on the CBE thermal comfort calculation for ASHRAE-55. The results obtained using this method, can be tailored according to the desired outcomes. The proposed method identifies effective factors for human comfort condition improvement for different points on the context. It also provides a means to priorities specific parameters so that they can be manipulated for optimal digital design solutions, ie. Aligned to the desired conditions in the specific parts of the site with the aim of optimize outdoor space usage.
keywords	Micro-Climate, Outdoor Comfort, Urban Design, Environmental Aspects, Bio-Climatic Conditions
series	ACADIA
type	normal paper
email
last changed	2022/06/07 07:49

_id	cf2015_347
id	cf2015_347
authors	Krakhofer, Stefan
year	2015
title	Closing the Loop: From Analysis to Transformation within BIM
source	The next city - New technologies and the future of the built environment [16th International Conference CAAD Futures 2015. Sao Paulo, July 8-10, 2015. Electronic Proceedings/ ISBN 978-85-85783-53-2] Sao Paulo, Brazil, July 8-10, 2015, pp. 347-357.
summary	The shift from traditional CAD to BIM has created a significant potential to embed optimization processes in many stages of the design. The presented research is situated in the early design stage of inception and concept, focusing on analysis-driven-form-finding during the integrated design approach within a BIM environment. A custom analysis framework, has been developed and linked to a visual programming environment that allows the exchange of data with the parametric components of a BIM environment. The developed workflow and sequential split of functionalities enables a shared design environment for multiple experts and the design-team. The environment is intended to close the loop from analysis to parametric modeling in order to generate and evaluate building designs against performance criteria, with the aim to expedite the design decision process. The prototype has been presented to participants of the Deep-Space Cluster at SmartGeometry 2014.
keywords	Algorithmic Design, Parametric Design, Parametric Analysis, Building Information Modeling, Design Automation.
series	CAAD Futures
email
last changed	2015/06/29 07:55

_id	sigradi2023_416
id	sigradi2023_416
authors	Machado Fagundes, Cristian Vinicius, Miotto Bruscato, Léia, Paiva Ponzio, Angelica and Chornobai, Sara Regiane
year	2023
title	Parametric environment for internalization and classification of models generated by the Shap-E tool
source	García Amen, F, Goni Fitipaldo, A L and Armagno Gentile, Á (eds.), Accelerated Landscapes - Proceedings of the XXVII International Conference of the Ibero-American Society of Digital Graphics (SIGraDi 2023), Punta del Este, Maldonado, Uruguay, 29 November - 1 December 2023, pp. 1689–1698
summary	Computing has been increasingly employed in design environments, primarily to perform calculations and logical decisions faster than humans could, enabling tasks that would be impossible or too time-consuming to execute manually. Various studies highlight the use of digital tools and technologies in diverse methods, such as parametric modeling and evolutionary algorithms, for exploring and optimizing alternatives in architecture, design, and engineering (Martino, 2015; Fagundes, 2019). Currently, there is a growing emergence of intelligent models that increasingly integrate computers into the design process. Demonstrating great potential for initial ideation, artificial intelligence (AI) models like Shap-E (Nichol et al., 2023) by OpenAI stand out. Although this model falls short of state-of-the-art sample quality, it is among the most efficient orders of magnitude for generating three-dimensional models through AI interfaces, offering practical balance for certain use cases. Thus, aiming to explore this gap, the presented study proposes an innovative design agency framework by employing Shap-E connected with parametric modeling in the design process. The generation tool has shown promising results; through generations of synthetic views conditioned by text captions, its final output is a mesh. However, due to the lack of topological information in models generated by Shap-E, we propose to fill this gap by transferring data to a parametric three-dimensional surface modeling environment. Consequently, this interaction's use aims to enable the transformation of the mesh into quantifiable surfaces, subject to collection and optimization of dimensional data of objects. Moreover, this work seeks to enable the creation of artificial databases through formal categorization of parameterized outputs using the K-means algorithm. For this purpose, the study methodologically orients itself in a four-step exploratory experimental process: (1) creation of models generated by Shap-E in a pressing manner; (2) use of parametric modeling to internalize models into the Grasshopper environment; (3) generation of optimized alternatives using the evolutionary algorithm (Biomorpher); (4) and classification of models using the K-means algorithm. Thus, the presented study proposes, through an environment of internalization and classification of models generated by the Shap-E tool, to contribute to the construction of a new design agency methodology in the decision-making process of design. So far, this research has resulted in the generation and classification of a diverse set of three-dimensional shapes. These shapes are grouped for potential applications in machine learning, in addition to providing insights for the refinement and detailed exploration of forms.
keywords	Shap-E, Parametric Design, Evolutionary Algorithm, Synthetic Database, Artificial Intelligence
series	SIGraDi
email
last changed	2024/03/08 14:09

_id	ecaade2015_176
id	ecaade2015_176
authors	Moorhouse, Jon and Peter, Herbert
year	2015
title	[2+2] Two Architects and Two Galleries
doi	https://doi.org/10.52842/conf.ecaade.2015.2.199
source	Martens, B, Wurzer, G, Grasl T, Lorenz, WE and Schaffranek, R (eds.), Real Time - Proceedings of the 33rd eCAADe Conference - Volume 2, Vienna University of Technology, Vienna, Austria, 16-18 September 2015, pp. 199-206
wos	WOS:000372316000024
summary	This paper addresses the needs of exhibition curation with the concept of a virtual gallery (which may or may not be translated into reality). Curation is often an overly linear process - as opposed to an iterative exercise, whereby collaboration between stakeholders is somewhat limited by time, distance and the opportunity for virtual communication. This suggests that the implementation of a system for sharing visual data - especially in the real-time mode that a virtual studio might offer - could facilitate a more dynamic and iterative design process, where the design team remains engaged throughout.Two (architectural) designers - from Vienna, Austria and Liverpool, UK - are collaborating to create a process for exhibition design for existing venue, involving international stakeholders in remote locations. The key outcome for this research is to create a framework for future collaborative workflow that enhances the delivery of exhibition design through improved decision-making, without the need for all of the team to have extensive software knowledge.The paper thence reflects on current experience, reporting changes in curatorial processes and suggesting areas of added value that might benefit future works.
series	eCAADe
email
more	https://mh-engage.ltcc.tuwien.ac.at/engage/ui/watch.html?id=47ff3c32-6e90-11e5-af39-00190f04dc4c
last changed	2022/06/07 07:58

_id	ecaade2015_169
id	ecaade2015_169
authors	Nakama, Yuki; Onishi, Yasunobu and Iki, Kazuhisa
year	2015
title	Development of Building Information Management System with Data Collecting Functions based on IoT Technology
doi	https://doi.org/10.52842/conf.ecaade.2015.1.647
source	Martens, B, Wurzer, G, Grasl T, Lorenz, WE and Schaffranek, R (eds.), Real Time - Proceedings of the 33rd eCAADe Conference - Volume 1, Vienna University of Technology, Vienna, Austria, 16-18 September 2015, pp. 647-655
wos	WOS:000372317300070
summary	Facility management is aimed at energy saving, increasing the lifespan of buildings, enhancing the satisfaction of facility users and reducing running costs. To that end, it is important to grasp the conditions of the building in detail, and to analyze them one by one in order to execute building operation and maintenance strategically. However, conventional CAFM is insufficient. Therefore, we developed a system (called Building Information Management System) to utilize BIM data made on a Web site. We used groupware to support the system and an information platform that enables continuous management of a great variety of maintenance information. In addition, we developed a system to input information of building operation and maintenance using a mobile device on the site of checking and patrolling so as to reduce the burden of inputting information. A sensor network is used to acquire building operation and maintenance information to enhance building operation and maintenance. We also developed a system to automatically input sensing information into the building information for Building Information Management System, and to connect it with a 3D model. It has therefore become easier to collect the large amount of information necessary for strategic building operation and maintenance.
series	eCAADe
email
more	https://mh-engage.ltcc.tuwien.ac.at/engage/ui/watch.html?id=0d63b958-7021-11e5-a1ec-00190f04dc4c
last changed	2022/06/07 07:59

_id	cf2015_204
id	cf2015_204
authors	Psyllidis, Achilleas; Bozzon, Alessandro; Bocconi, Stefano and Bolivar, Christiaan Titos
year	2015
title	A platform for urban analytics and semantic data integration in city planning
source	The next city - New technologies and the future of the built environment [16th International Conference CAAD Futures 2015. Sao Paulo, July 8-10, 2015. Electronic Proceedings/ ISBN 978-85-85783-53-2] Sao Paulo, Brazil, July 8-10, 2015, pp. 204.
summary	This paper presents a novel web-based platform that supports the analysis, integration, and visualization of large-scale and heterogeneous urban data, with application to city planning and decision-making. Motivated by the non-scalable character of conventional urban analytics methods, as well as by the interoperability challenges present in contemporary data silos, the illustrated system – coined SocialGlass – leverages the combined potential of diverse urban data sources. These include sensor and social media streams (Twitter, Instagram, Foursquare), publicly available municipal records, and resources from knowledge repositories. Through data science, semantic integration, and crowdsourcing techniques the platform enables the mapping of demographic information, human movement patterns, place popularity, traffic conditions, as well as citizens’ and visitors’ opinions and preferences about specific venues in a city. The paper further demonstrates an implemented prototype of the platform and its deployment in real-world use cases for monitoring, analyzing, and assessing city-scale events.
keywords	urban analytics, semantic integration, crowdsourcing, ontologies, SocialGlass, urban computing, smart cities.
series	CAAD Futures
email
last changed	2015/06/29 07:55

_id	cf2015_206
id	cf2015_206
authors	Schubert, Gerhard; Schattel, David; Tönnis, Marcus; Klinker, Gudrun and Petzold, Frank
year	2015
title	Tangible mixed reality on-site: Interactive augmented visualisations from architectural working models in urban design
source	The next city - New technologies and the future of the built environment [16th International Conference CAAD Futures 2015. Sao Paulo, July 8-10, 2015. Electronic Proceedings/ ISBN 978-85-85783-53-2] Sao Paulo, Brazil, July 8-10, 2015, pp. 206.
summary	The consequences of architectural planning and design decisions made in the early design phases are hard to foresee. While professionals are used to reading plans and understanding architectural models, most laypeople are not familiar with their abstractions. This can lead to misinterpretations and misunderstandings between the different participants in the design process, especially in complex building situations, and decisions can be made or rejected that can have far-reaching consequences for the remainder of the project.In this paper we describe the concept and prototypical implementation of a decision-support system for the early design and discussion stages of urban de-sign projects that aims to address precisely this problem. The setup directly connects physical volumetric models and hand-drawn sketches with an interac-tive, mixed-reality visualization presented on a tablet or mobile phone, making it possible to see an interactive real-time view of an architectural design within the context of the actual site. In addition, the system is able to incorporate interactive simulations conducted on the model and presented in the AR-view.
keywords	early design stages, urban design, HCI, tangible interfaces, immersive environment, simulations.
series	CAAD Futures
email
last changed	2015/06/29 07:55

_id	cf2015_279
id	cf2015_279
authors	Abdelmohsen, Sherif M. and Massoud, Passaint M.
year	2015
title	Making Sense of those Batteries and Wires: Parametric Design between Emergence and Autonomy
source	The next city - New technologies and the future of the built environment [16th International Conference CAAD Futures 2015. Sao Paulo, July 8-10, 2015. Electronic Proceedings/ ISBN 978-85-85783-53-2] Sao Paulo, Brazil, July 8-10, 2015, pp. 279-296.
summary	This paper reports on the process and outcomes of a digital design studio that integrates parametric design and generative systems in architectural and urban design projects. It explores the interrelationship between the emergence of innovative formal representations using parametric design systems on the one hand, and design autonomy; more specifically the conscious process of generating and developing an architectural concept, on the other. Groups of undergraduate students working on an architectural project are asked to identify a specific conceptual parti that addresses an aspect of architectural quality, define strategies that satisfy those aspects, and computational methodologies to implement those strategies, such as rule-based systems, self-organization systems, and genetic algorithms. The paper describes the educational approach and studio outcomes, discusses implications for CAAD education and curricula, and addresses issues to be considered for parametric and generative software development.
keywords	Parametric modeling, generative design, emergence, autonomy, design exploration, CAAD curriculum.
series	CAAD Futures
email
last changed	2015/06/29 07:55

_id	acadia15_357
id	acadia15_357
authors	Ashour, Yassin; Kolarevic, Branko
year	2015
title	Heuristic Optimization in Design
doi	https://doi.org/10.52842/conf.acadia.2015.357
source	ACADIA 2105: Computational Ecologies: Design in the Anthropocene [Proceedings of the 35th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-53726-8] Cincinnati 19-25 October, 2015), pp. 357-369
summary	This paper presents a workflow called the ‘heuristic optimization workflow’ that integrates Octopus, a Multi-Objective Optimization (MOO) engine with Grasshopper3D, a parametric modeling tool, and multiple simulation software. It describes a process that enables the designer to integrate disparate domains via Octopus and complete a feedback loop with the developed interactive, real-time visualization tools. A retrospective design of the Bow Tower in Calgary is used as a test case to study the impact of the developed workflow and tools, as well as the impact of MOO on the performance of the solutions. The overall workflow makes MOO based results more accessible to designers and encourages a more interactive ‘heuristic’ exploration of various geometric and topological trajectories. The workflow also reduces design decision uncertainty and design cycle latency through the incorporation of a feedback loop between geometric models and their associated quantitative data. It is through the juxtaposition of extreme performing solutions that serendipity is created and the potential for better multiple performing solutions is increased.es responsive systems, which focus on the implementation of multi-objective adaptive design prototypes from sensored environments. The intention of the work is to investigate multi-objective criteria both as a material system and as a processing system by creating prototypes with structural integrity, where the thermal energy flow through the prototype, to be understood as a membrane, can be controlled and the visual transparency altered. The work shows performance based feedback systems and physical prototype models driven by information streaming, screening, and application.
keywords	Multi-Objective Optimization, Generative Design, Performance-Based Design
series	ACADIA
type	normal paper
email
last changed	2022/06/07 07:54

_id	ecaade2015_130
id	ecaade2015_130
authors	Asl, Mohammad Rahmani; Stoupine, Alexander, Zarrinmehr, Saied and Yan, Wei
year	2015
title	Optimo: A BIM-based Multi-Objective Optimization Tool Utilizing Visual Programming for High Performance Building Design
doi	https://doi.org/10.52842/conf.ecaade.2015.1.673
source	Martens, B, Wurzer, G, Grasl T, Lorenz, WE and Schaffranek, R (eds.), Real Time - Proceedings of the 33rd eCAADe Conference - Volume 1, Vienna University of Technology, Vienna, Austria, 16-18 September 2015, pp. 673-682
wos	WOS:000372317300073
summary	Within the architecture, engineering, and construction (AEC) industry, the application of multidisciplinary optimization methods has been shown to reach significant improvements in building performance compared to conventional design methods. As a result, the use of multidisciplinary optimization in the process of design is growing and becoming a common method that provides desired performance feedback for decision making. However, there is a lack of BIM-based multidisciplinary optimization tools that use the rich information stored in Building Information Models (BIM) to help designers explore design alternatives across multiple competing design criteria. In this paper we introduce Optimo, an open-source visual programming-based Multi-Objective Optimization (MOO) tool, which is developed to parametrically interact with Autodesk Revit for BIM-based optimization. The paper details the development process of Optimo and also provides the initial validation of its results using optimization test functions. Finally, strengths, limitations, current adoption by academia and industry, and future improvements of Optimo for building performance optimization are discussed.
series	eCAADe
email
last changed	2022/06/07 07:54

_id	acadia16_362
id	acadia16_362
authors	Beesley, Philip; Ilgun, Zeliha, Asya; Bouron, Giselle; Kadish, David; Prosser, Jordan; Gorbet, Rob; Kulic, Dana; Nicholas, Paul; Zwierzycki, Mateusz
year	2016
title	Hybrid Sentient Canopy: An implementation and visualization of proprioreceptive curiosity-based machine learning
doi	https://doi.org/10.52842/conf.acadia.2016.362
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. 362-371
summary	This paper describes the development of a sentient canopy that interacts with human visitors by using its own internal motivation. Modular curiosity-based machine learning behaviour is supported by a highly distributed system of microprocessor hardware integrated within interlinked cellular arrays of sound, light, kinetic actuators and proprioreceptive sensors in a resilient physical scaffolding system. The curiosity-based system involves exploration by employing an expert system composed of archives of information from preceding behaviours, calculating potential behaviours together with locations and applications, executing behaviour and comparing result to prediction. Prototype architectural structures entitled Sentient Canopy and Sentient Chamber developed during 2015 and 2016 were developed to support this interactive behaviour, integrating new communications protocols and firmware, and a hybrid proprioreceptive system that configured new electronics with sound, light, and motion sensing capable of internal machine sensing and externally- oriented sensing for human interaction. Proprioreception was implemented by producing custom electronics serving photoresistors, pitch-sensing microphones, and accelerometers for motion and position, coupled to sound, light and motion-based actuators and additional infrared sensors designed for sensing of human gestures. This configuration provided the machine system with the ability to calculate and detect real-time behaviour and to compare this to models of behaviour predicted within scripted routines. Testbeds located at the Living Architecture Systems Group/Philip Beesley Architect Inc. (LASG/PBAI, Waterloo/Toronto), Centre for Information Technology (CITA, Copenhagen) National Academy of Sciences (NAS) in Washington DC are illustrated.
keywords	intedisciplinary/collaborative design, intelligent environments, artificial intelligence, sensate systems
series	ACADIA
type	paper
email
last changed	2022/06/07 07:54

_id	cf2015_268
id	cf2015_268
authors	Benedetto, Henrique; Kipper, Fabrício A.;Marques, Vinícius and Bruscato, Underléa M.
year	2015
title	Development of Parklets by using parametric modeling
source	The next city - New technologies and the future of the built environment [16th International Conference CAAD Futures 2015. Sao Paulo, July 8-10, 2015. Electronic Proceedings/ ISBN 978-85-85783-53-2] Sao Paulo, Brazil, July 8-10, 2015, pp. 268-278.
summary	The lack of urban planning has made the recreation areas increasingly smaller in the cities. Parks and squares gradually gave way to streets and avenues to try to accommodate the growing number of cars and motorcycles. An alternative that tries to balance recreation areas and urban roads was found in the city of San Francisco (USA). Parklets are temporary extensions of urban sidewalks that occupy a few parking spaces. This article aims to demonstrate the potential of parametric modeling in the development of parklets. Thus, anthropometric studies, amount of parking spaces and types of benches were used as input parameters. Rhinoceros and grasshopper programs were used for modeling, while 3D Studio Max was used for rendering. With this study it was possible to verify that when the project is parameterized the processes of creation and modification became faster, reducing design and implementation time.
keywords	Grasshopper algorithm editor, Parametric model, Parklets.
series	CAAD Futures
email
last changed	2015/06/29 07:55

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