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 576

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

_id	ecaade2017_031
id	ecaade2017_031
authors	Castelo Branco, Renata and Leit?o, António
year	2017
title	Integrated Algorithmic Design - A single-script approach for multiple design tasks
doi	https://doi.org/10.52842/conf.ecaade.2017.1.729
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 1, Sapienza University of Rome, Rome, Italy, 20-22 September 2017, pp. 729-738
summary	Many great architectural endeavors today engage in a multi software approach, as each specialty involved needs a different software, and different task required from the architect, such as 3D modeling, analysis or rendering, also benefit from the use of different tools. Combining them in the same process is not always a successful endeavor. A more effective portability mechanism is needed, and Algorithmic Design (AD) has the potential to become one. This paper explores the advantages of the algorithmic approach to the design process, and proposes a methodology capable of integrating the different tools and paradigms currently used in architecture. The methodology is based on the development of a computer program that describes not only the intended model, but also additional tasks, such as the required analysis and rendering. It takes advantage of CAD, BIM and analysis tools, with little effort when it comes to the transition between them.
keywords	Algorithmic Design; CAD; BIM; Analysis tools
series	eCAADe
email
last changed	2022/06/07 07:55

_id	caadria2017_132
id	caadria2017_132
authors	Feist, Sofia, Ferreira, Bruno and Leit?o, António
year	2017
title	Collaborative Algorithmic-based Building Information Modelling
doi	https://doi.org/10.52842/conf.caadria.2017.613
source	P. Janssen, P. Loh, A. Raonic, M. A. Schnabel (eds.), Protocols, Flows, and Glitches - Proceedings of the 22nd CAADRIA Conference, Xi'an Jiaotong-Liverpool University, Suzhou, China, 5-8 April 2017, pp. 613-622
summary	Algorithmic-based Building Information Modelling (A-BIM) allows the development of BIM models through algorithms. In a collaborative environment, A-BIM requires management strategies to deal with concurrent development of architectural projects. However, despite there being several tools that support this type of collaborative work, they are not appropriate for A-BIM because: (1) they track changes in the generated model instead of the code where the changes originate from, and (2) they are vendor-specific while A-BIM models might be generated for different BIM applications. In this paper, we discuss the use of Version Control (VC) for project management and concurrent development of A-BIM projects. We evaluate VC for A-BIM through a series of scenarios in the context of a case study.
keywords	Algorithmic Design; Programming; Algorithmic-based Building Information Modelling; Version Control; Collaborative Design
series	CAADRIA
email
last changed	2022/06/07 07:52

_id	ecaade2017_053
id	ecaade2017_053
authors	Gül, Leman Figen
year	2017
title	Studying Architectural Massing Strategies in Co-design - Mobile Augmented Reality Tool versus 3D Virtual World
doi	https://doi.org/10.52842/conf.ecaade.2017.2.703
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. 703-710
summary	Researchers attempt to offer new design tools and technologies to support design process facilitating alternative visualization and representation techniques. This paper describes a comparison study that took place in the Department of Architecture, at the Istanbul Technical University between 2016-2017. We compare when architects designed mass volumes of buildings in an marker-based mobile Augmented Reality (AR) application with that of when they used a collaborative 3D Virtual World. The massing strategy in the AR environment was an additive approach that is to collaboratively design the small parts to make the whole. Alignment and arrangement of the parts were not the main concerns of the designers in AR, instead the functional development of the design proposal, bodily engagements with the design representation, framing and re-framing of the given context and parameters become the discussion topics.
keywords	Augmented reality, virtual world, massing strategies; protocol analysis
series	eCAADe
email
last changed	2022/06/07 07:50

_id	cf2017_297
id	cf2017_297
authors	He, Yi; Schnabel, Marc Aurel; Chen, Rong; Wang, Ning
year	2017
title	A Comprehensive Application of BIM Modelling for Semi-underground Public Architecture: A Study for Tiantian Square Complex, Wuhan, China
source	Gülen Çagdas, Mine Özkar, Leman F. Gül and Ethem Gürer (Eds.) Future Trajectories of Computation in Design [17th International Conference, CAAD Futures 2017, Proceedings / ISBN 978-975-561-482-3] Istanbul, Turkey, July 12-14, 2017, pp. 297-308.
summary	The paper presents research on how Building Information Modelling (BIM) can be applied comprehensively throughout the design of an architectural project. A practical method based on BIM models that help to deal with multidisciplinary issues by integrating the design information from different sources, collaborators and project stages is formulated by adopting existing available tools. The ‘Tiantian Square’ building project in Wuhan, China combines a subway station with a commercial hug. According to the project’s size and complexity, our study focuses on the multiple cooperation of professionals from different backgrounds, including the departments of architectural design, structure (civil engineering), HVAC (Heating, Ventilation and Air Conditioning), water supply and drainage, and electrics and sustainable design. Our paper presents how the BIM model bridges between various simulation platforms through our technical system and management, including steps of transformation, simplification, analysis, reaction and improvement. Our research has helped to improve the overall efficiency and quality of the project. We generated a successful analysis-design approach for the initial design stages, which does not require in-depth analysis. It is a practical method to immediately evaluate the performance for each design alternative and provide guidelines for design modification. Finally, we discuss how the coordination of different department becomes a crucial factor as we look forward to a more open, communicative and inter-relational design and development process.
keywords	BIM, Subway Complex, Simulation, Semi-Underground Architecture
series	CAAD Futures
email
last changed	2017/12/01 14:38

_id	acadia17_436
id	acadia17_436
authors	Nagy, Danil; Villaggi, Lorenzo; Zhao, Dale; Benjamin, David
year	2017
title	Beyond Heuristics: A Novel Design Space Model for Generative Space Planning in Architecture
doi	https://doi.org/10.52842/conf.acadia.2017.436
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. 436- 445
summary	This paper proposes a novel design space model that can be used in applications of generative space planning in architecture. The model is based on a novel data structure that allows fast subdivision and merge operations on planar regions in a floor plan. It is controlled by a relatively small set of input parameters and evaluated for performance using a set of congestion metrics, which allows it to be optimized by a metaheuristic such as a genetic algorithm (GA). The paper also presents a set of guidelines and methods for analyzing and visualizing the quality of the model through low-resolution sampling of the design space. The model and analysis methods are demonstrated through an application in the design of an exhibit hall layout. The paper concludes by speculating on the potential of such models to disrupt the architectural profession by allowing designers to break free of common "heuristics" or rules of thumb and explore a wider range of design options than would be possible using traditional methods.
keywords	design methods; information processing; simulation & optimization; generative system; data visualization
series	ACADIA
email
last changed	2022/06/07 07:59

_id	acadia17_28
id	acadia17_28
authors	Aguiar, Rita; Cardoso, Carmo; Leit?o,António
year	2017
title	Algorithmic Design and Analysis Fusing Disciplines
doi	https://doi.org/10.52842/conf.acadia.2017.028
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. 28-37
summary	In the past, there has been a rapid evolution in computational tools to represent and analyze architectural designs. Analysis tools can be used in all stages of the design process, but they are often only used in the final stages, where it might be too late to impact the design. This is due to the considerable time and effort typically needed to produce the analytical models required by the analysis tools. A possible solution would be to convert the digital architectural models into analytical ones, but unfortunately, this often results in errors and frequently the analytical models need to be built almost from scratch. These issues discourage architects from doing a performance-oriented exploration of their designs in the early stages of a project. To overcome these issues, we propose Algorithmic Design and Analysis, a method for analysis that is based on adapting and extending an algorithmic-based design representation so that the modeling operations can generate the elements of the analytical model containing solely the information required by the analysis tool. Using this method, the same algorithm that produces the digital architectural model can also automatically generate analytical models for different types of analysis. Using the proposed method, there is no information loss and architects do not need additional work to perform the analysis. This encourages architects to explore several design alternatives while taking into account the design’s performance. Moreover, when architects know the set of design variations they wish to analyze beforehand, they can easily automate the analysis process.
keywords	design methods; information processing; simulation & optimization; BIM; generative system
series	ACADIA
email
last changed	2022/06/07 07:54

_id	acadia17_52
id	acadia17_52
authors	Ajlouni, Rima
year	2017
title	Simulation of Sound Diffusion Patterns of Fractal-Based Surface Profiles
doi	https://doi.org/10.52842/conf.acadia.2017.052
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. 52-61
summary	Acoustical design is one of the most challenging aspects of architecture. A complex system of competing influences (e.g., space geometry, size, proportion, material properties, surface detail, etc.) contribute to shaping the quality of the auditory experience. In particular, architectural surfaces affect the way that sound reflections propagate through space. By diffusing the reflected sound energy, surface designs can promote a more homogeneous auditory atmosphere by mitigating sharp and focused reflections. One of the challenges with designing an effective diffuser is the need to respond to a wide band of sound wavelengths, which requires the surface profile to precisely encode a range of detail sizes, depths and angles. Most of the available sound diffusers are designed to respond to a narrow band of frequencies. In this context, fractal-based surface designs can provide a unique opportunity for mitigating such limitations. A key principle of fractal geometry is its multilevel hierarchical order, which enables the same pattern to occur at different scales. This characteristic makes it a potential candidate for diffusing a wider band of sound wavelengths. However, predicting the reflection patterns of complicated fractal-based surface designs can be challenging using available acoustical software. These tools are often costly, complicated and are not designed for predicting early sound propagation paths. This research argues that writing customized algorithms provides a valuable, free and efficient alternative for addressing targeted acoustical design problems. The paper presents a methodology for designing and testing a customized algorithm for predicting sound diffusion patterns of fractal-based surfaces. Both quantitative and qualitative approaches were used to develop the code and evaluate the results.
keywords	design methods; information processing; simulation & optimization; data visualization
series	ACADIA
email
last changed	2022/06/07 07:54

_id	caadria2017_055
id	caadria2017_055
authors	Caetano, In?s and Leit?o, António
year	2017
title	Integration of an Algorithmic BIM Approach in a Traditional Architecture Studio
doi	https://doi.org/10.52842/conf.caadria.2017.633
source	P. Janssen, P. Loh, A. Raonic, M. A. Schnabel (eds.), Protocols, Flows, and Glitches - Proceedings of the 22nd CAADRIA Conference, Xi'an Jiaotong-Liverpool University, Suzhou, China, 5-8 April 2017, pp. 633-642
summary	Algorithmic BIM combines BIM and Generative Design (GD), merging the potentialities of both approaches. In this paper we describe the design process of a set of parametric facades developed using Algorithmic-BIM, and how this approach was integrated into the design workflow of two architectural studios. We demonstrate how the integration of GD together with BIM influenced the whole design process and also the selection of the final solution. Some of the limitations found during the entire process are also addressed in the paper, such as tight deadlines and financial constraints. Finally, we explain the pros and cons of using this design method compared to a traditional BIM approach, and we discuss the implementation of this paradigm in a traditional design practice. This work was developed using Rosetta, an IDE for Generative Design that supports scripts using different programming languages and allows the generation and edition of 3D models in a variety of CAD and BIM applications. The result of this work is an information model of three parametric facades for a residential building, from which we can extract material quantities and construction performance tests.
keywords	Generative design; collaborative design; CAD-BIM portability; parametric facade design
series	CAADRIA
email
last changed	2022/06/07 07:54

_id	cf2017_137
id	cf2017_137
authors	Ensari, Elif; Kobas, Bilge; Sucuo?lu, Can
year	2017
title	Computational Decision Support for an Airport Complex Roof Design: A Case Study of Evolutionary Optimization for Daylight Provision and Overheating Prevention
source	Gülen Çagdas, Mine Özkar, Leman F. Gül and Ethem Gürer (Eds.) Future Trajectories of Computation in Design [17th International Conference, CAAD Futures 2017, Proceedings / ISBN 978-975-561-482-3] Istanbul, Turkey, July 12-14, 2017, pp. 137-149.
summary	This study focuses on generating geometric design alternatives for an airport roof structure with an evolutionary design method based on optimizing solar heat gain and daylight levels. The method incorporates a parametric 3D model of the building, a multi objective genetic algorithm that was linked with the model to iteratively test for various geometric solutions, a custom module that was developed to simulate solar conditions, and external energy simulation environments that was used to validate the outcomes. The integral outcome was achieved through an iterative workflow of many software tools, and the study is significant in dealing with several space typologies at the same time, taking real-life constraints such as applicability, ease of operation, construction loads into consideration, and satisfying design and aesthetic requirements of the architectural design team.
keywords	Evolutionary algorithms, daylight and energy performance, multi-objective optimization
series	CAAD Futures
email
last changed	2017/12/01 14:37

_id	caadria2017_001
id	caadria2017_001
authors	He, Yi, Schnabel, Marc Aurel, Chen, Rong and Wang, Ning
year	2017
title	A Parametric Analysis Process for Daylight Illuminance - The Influence of Perforated Facade Panels on the Indoor Illuminance
doi	https://doi.org/10.52842/conf.caadria.2017.417
source	P. Janssen, P. Loh, A. Raonic, M. A. Schnabel (eds.), Protocols, Flows, and Glitches - Proceedings of the 22nd CAADRIA Conference, Xi'an Jiaotong-Liverpool University, Suzhou, China, 5-8 April 2017, pp. 417-424
summary	BIM modelling systems and graph-based modelling systems have been widely used in the architecture design process recently. Based on the systems, an alternative approach to study the influence of perforated façade panels on the indoor illuminance by using a parametric performance analysis in a practical architectural project is proposed. The workflow we developed makes the modelling process faster, more accurate, and easier to modify. From the circulation of modelling-to-analysis process, the performance can be compared, feedback can be generated. Accordingly, optimized design can be concluded. This study suggests an analysis method to evaluate the indoor illuminance performance in the early design stages. The simulation is not a conventional typical in-depth one, but a practical method to immediately evaluate the performance for each design alternative and provide guidelines for design modification. Moreover, the first generation of digital modeling programs allow designers to conceive new forms, and allow these forms to be controled and realized. It reacts to the conference theme by presenting a protocol for a digital workflow in the early stage of the design development.
keywords	Daylight illuminance; BIM; parametric sustainability; parametric modelling; facade panels
series	CAADRIA
email
last changed	2022/06/07 07:49

_id	ecaade2018_427
id	ecaade2018_427
authors	Matcha, Heike, Ljubas, Ante and Gueldemet, Harun
year	2018
title	Printing a Coffee Bar - An investigation into mid-scale 3D printing
doi	https://doi.org/10.52842/conf.ecaade.2018.2.059
source	Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 2, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 59-68
summary	We present and discuss an exploration of the possibilities and properties of 3D printing with a printing space of 1 cubic meter, and how those can be integrated into architectural education through an experimental design and research course with students of architecture.We expand on issues presented at the eCAADe conference 2017 in Rome [Ref 6] by increasing the complexity and size of our prints, printing not a model to scale, but a full scale funtional prototype of a usable architectural object: A coffee bar.
keywords	3D Printing; Parametric Modelling; Full Scale Project
series	eCAADe
email
last changed	2022/06/07 07:59

_id	caadria2017_017
id	caadria2017_017
authors	Park, Hyejin, Lee, Seunghyun, Kim, Eonyong and Choo, Seungyeon
year	2017
title	A Proposal for Building Safety Diagnosis Processes using BIM-based Reverse Engineering Technology
doi	https://doi.org/10.52842/conf.caadria.2017.673
source	P. Janssen, P. Loh, A. Raonic, M. A. Schnabel (eds.), Protocols, Flows, and Glitches - Proceedings of the 22nd CAADRIA Conference, Xi'an Jiaotong-Liverpool University, Suzhou, China, 5-8 April 2017, pp. 673-682
summary	Recently, the aging of buildings is accelerating around the world. In line with this, architectural structures constructed long time ago require life extension and ongoing management and protection for improvement, because they are too deteriorated. In particular, since structural safety inspection and analysis in building is very important, 'DFS (Design For Safety)'system has been introduced and conducted at the national level in Korea for the whole building life cycle management system encompassing the entire design, work commencement, construction, and completion stages. However, we do not have a system ranging from repair and reinforcement work plans in doing safety design, structural inspection and analysis to ongoing safety inspection. Therefore, it is necessary to establish a system to produce and share integrated information and conduct a research to manage architectural structure across the whole life cycle. Accordingly, this study aims to propose BIM-based reverse engineering technology for generating a safety management model based on laser scanner, verify the investigation items to be utilized of the design when building safety, and seek ways to utilize them for safety design.
keywords	BIM; reverse engineering; building safety diagnosis; laser scanning; design for safety
series	CAADRIA
email
last changed	2022/06/07 08:00

_id	caadria2017_015
id	caadria2017_015
authors	Pelosi, Antony
year	2017
title	Where am I? - Spatial Cognition Inside Building Information Models
doi	https://doi.org/10.52842/conf.caadria.2017.643
source	P. Janssen, P. Loh, A. Raonic, M. A. Schnabel (eds.), Protocols, Flows, and Glitches - Proceedings of the 22nd CAADRIA Conference, Xi'an Jiaotong-Liverpool University, Suzhou, China, 5-8 April 2017, pp. 643-652
summary	How do we know what we are looking at while viewing inside Building Information Modelling (BIM) models? Current architectural software typically provides disconnected methods of aiding spatial cognition. There is a strong history of navigation tools developed for controlling our exploration and movement in BIM models, a study by Ruby Darken and John Sibert (1993) found these tools had a strong influence on people's behaviour and understanding of digital space. People perceive and navigate space differently depending on their individual experience with a BIM model, designers and architects build up a detailed cognitive map during the design of a project, while other people have a less detailed comprehension of a project, having only been exposed to select views. This paper will outline key strategies to improve how people comprehend digital space, supporting people in understanding distance and size while inside BIM models. Three design research projects will be presented. The result of the projects define three strategies; Architectural wayshowing, interior-aware transitions, and distance confirmation. Architectural wayshowing needs to be implemented during the design phase, while the remaining two need to be introduced into BIM editing and viewing software.
keywords	Whiteout; wayshowing; spatial cognition; navigation; BIM
series	CAADRIA
email
last changed	2022/06/07 07:59

_id	acadia17_474
id	acadia17_474
authors	Peng, Wenzhe; Zhang, Fan; Nagakura, Takehiko
year	2017
title	Machines’ Perception of Space: Employing 3D Isovist Methods and a Convolutional Neural Network in Architectural Space Classification
doi	https://doi.org/10.52842/conf.acadia.2017.474
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. 474- 481
summary	Simple and common architectural elements can be combined to create complex spaces. Different spatial compositions of elements define different spatial boundaries, and each produces a unique local spatial experience to observers inside the space. Therefore an architectural style brings about a distinct spatial experience. While multiple representation methods are practiced in the field of architecture, there lacks a compelling way to capture and identify spatial experiences. Describing an observer’s spatial experiences quantitatively and efficiently is a challenge. In this paper, we propose a method that employs 3D isovist methods and a convolutional neural network (CNN) to achieve recognition of local spatial compositions. The case studies conducted validate that this methodology works well in capturing and identifying local spatial conditions, illustrates the pattern and frequency of their appearance in designs, and indicates peculiar spatial experiences embedded in an architectural style. The case study used small designs by Mies van der Rohe and Aldo van Eyck. The contribution of this paper is threefold. First, it introduces a sampling method based on 3D Isovist that generates a 2D image that can be used to represent a 3D space from a specific observation point. Second, it employs a CNN model to extract features from the sampled images, then classifies their corresponding space. Third, it demonstrates a few case studies where this space classification method is applied to different architectural styles.
keywords	design methods; information processing; AI; machine learning; computer vision; representation
series	ACADIA
email
last changed	2022/06/07 08:00

_id	ecaade2023_259
id	ecaade2023_259
authors	Sonne-Frederiksen, Povl Filip, Larsen, Niels Martin and Buthke, Jan
year	2023
title	Point Cloud Segmentation for Building Reuse - Construction of digital twins in early phase building reuse projects
doi	https://doi.org/10.52842/conf.ecaade.2023.2.327
source	Dokonal, W, Hirschberg, U and Wurzer, G (eds.), Digital Design Reconsidered - Proceedings of the 41st Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2023) - Volume 2, Graz, 20-22 September 2023, pp. 327–336
summary	Point cloud processing has come a long way in the past years. Advances in computer vision (CV) and machine learning (ML) have enabled its automated recognition and processing. However, few of those developments have made it through to the Architecture, Engineering and Construction (AEC) industry. Here, optimizing those workflows can reduce time spent on early-phase projects, which otherwise could be spent on developing innovative design solutions. Simplifying the processing of building point cloud scans makes it more accessible and therefore, usable for design, planning and decision-making. Furthermore, automated processing can also ensure that point clouds are processed consistently and accurately, reducing the potential for human error. This work is part of a larger effort to optimize early-phase design processes to promote the reuse of vacant buildings. It focuses on technical solutions to automate the reconstruction of point clouds into a digital twin as a simplified solid 3D element model. In this paper, various ML approaches, among others KPConv Thomas et al. (2019), ShapeConv Cao et al. (2021) and Mask-RCNN He et al. (2017), are compared in their ability to apply semantic as well as instance segmentation to point clouds. Further it relies on the S3DIS Armeni et al. (2017), NYU v2 Silberman et al. (2012) and Matterport Ramakrishnan et al. (2021) data sets for training. Here, the authors aim to establish a workflow that reduces the effort for users to process their point clouds and obtain object-based models. The findings of this research show that although pure point cloud-based ML models enable a greater degree of flexibility, they incur a high computational cost. We found, that using RGB-D images for classifications and segmentation simplifies the complexity of the ML model but leads to additional requirements for the data set. These can be mitigated in the initial process of capturing the building or by extracting the depth data from the point cloud.
keywords	Point Clouds, Machine Learning, Segmentation, Reuse, Digital Twins
series	eCAADe
email
last changed	2023/12/10 10:49

_id	acadia17_610
id	acadia17_610
authors	Thariyan, Elizabeth; Beorkrem, Christopher; Ellinger, Jefferson
year	2017
title	Buildable Performance Envelopes: Optimizing Sustainable Design in a Pre-Design Phase
doi	https://doi.org/10.52842/conf.acadia.2017.610
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. 610- 619
summary	The growing consciousness regarding ecologically conscious architecture mandates a deeper understanding of the strategies that may be adopted by designers towards achieving this goal. With the advent of building information modelling (BIM) and the associated paradigm shift in the design process, it has become increasingly possible to make informed decisions earlier on in the design process. Despite this advancement, the architectural realm continues to lack computational resources that are capable of providing formal guidelines, through a generative process, that serve as a starting point for sustainable design. Towards overcoming this limitation, this paper will describe a computational tool that generates buildable performance envelopes in response to aspects of a site that are influential in designing sustainably: climate and context. These envelopes are created in a generative manner through the utilization of a voxel (three-dimensional pixel) matrix, which continually updates itself based on formal elements created by the user. Facilitating the process of making ecologically conscious design decisions at the earliest stages of design, which is the primary goal of this tool, more substantially increases the achieved energy optimization. Illustrative building designs presented in the paper resulting from the testing of this tool in contrasting climate zones, such as Miami, Florida (ASHRAE Zone 01) and Aspen, Colorado (ASHRAE Zone 07), confirms the assertion that the performance envelopes generated with this tool serve only as a guideline for optimized sustainable design, and not as the final form of the building itself.
keywords	design methods; information processing; BIM; simulation & optimization; form finding
series	ACADIA
email
last changed	2022/06/07 07:58

_id	caadria2017_124
id	caadria2017_124
authors	Wortmann, Thomas
year	2017
title	Opossum - Introducing and Evaluating a Model-based Optimization Tool for Grasshopper
doi	https://doi.org/10.52842/conf.caadria.2017.283
source	P. Janssen, P. Loh, A. Raonic, M. A. Schnabel (eds.), Protocols, Flows, and Glitches - Proceedings of the 22nd CAADRIA Conference, Xi'an Jiaotong-Liverpool University, Suzhou, China, 5-8 April 2017, pp. 283-292
summary	This paper presents Opossum, a new optimization plug-in for Grasshopper, a visual data-flow modelling software popular among architects. Opossum is the first publicly available, model-based optimization tool aimed at architectural design optimization and especially applicable to problems that involve time-intensive simulations of for example day-lighting and building energy. The paper details Opossum's design and implementation and compares its performance to four single-objective and one multi-objective solver. The test problem is time-intensive and simulation-based: optimizing a screened façade for daylight and glare. Opossum outperforms the other single-objective solvers and finds the most accurate approximation of the Pareto front.
keywords	Design Tool; Architectural Design Optimization; Model-based Optimization; Sustainable Design
series	CAADRIA
email
last changed	2022/06/07 07:57

_id	ijac201715103
id	ijac201715103
authors	Wortmann, Thomas
year	2017
title	Surveying design spaces with performance maps: A multivariate visualization method for parametric design and architectural design optimization
source	International Journal of Architectural Computing vol. 15 - no. 1, 38-53
summary	This article presents a method to visualize high-dimensional parametric design spaces with applications in computational design processes and interactive optimization. The method extends Star Coordinates using a triangulation-based interpolation with Barycentric Coordinates. It supports the understanding of design problems in architectural design optimization by allowing designers to move between a high-dimensional design space and a low-dimensional Performance Map. This Performance Map displays the characteristics of the fitness landscape, develops designers’ intuitions about the relationships between design parameters and performance, allows designers to examine promising design variants, and delineates promising areas for further design exploration.
keywords	Fitness landscape, design space exploration, multivariate visualization, optimization, Star Coordinates
series	other
type	normal paper
email
last changed	2019/08/02 08:25

_id	acadia17_154
id	acadia17_154
authors	Brown, Nathan; Mueller, Caitlin
year	2017
title	Designing With Data: Moving Beyond The Design Space Catalog
doi	https://doi.org/10.52842/conf.acadia.2017.154
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. 154-163
summary	Design space catalogs, which present a collection of different options for selection by human designers, have become commonplace in architecture. Increasingly, these catalogs are rapidly generated using parametric models and informed by simulations that describe energy usage, structural efficiency, daylight availability, views, acoustic properties, and other aspects of building performance. However, by conceiving of computational methods as a means for fostering interactive, collaborative, guided, expert-dependent design processes, many opportunities remain to improve upon the originally static archetype of the design space catalog. This paper presents developments in the areas of interaction, automation, simplification, and visualization that seek to improve on the current catalog model while also describing a vision for effective computer-aided, performance-based design processes in the future.
keywords	design methods; information processing; simulation & optimization; data visualization
series	ACADIA
email
last changed	2022/06/07 07:54

_id	acadia17_266
id	acadia17_266
authors	Gonzalez Rojas,Paloma
year	2017
title	Space and Motion: Data-Driven Model of 4D Pedestrian Behavior
doi	https://doi.org/10.52842/conf.acadia.2017.266
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. 266-273
summary	The understanding of space relies on motion, as we experience space by crossing it in time, space’s fourth dimension. However, architects lack the necessary tools to incorporate people's motion into their design of space. As a consequence, architects fail to connect space with the motion of the people that inhabit their buildings, creating disorienting environments. Further, what if augmentation technology changes how we inhabit space and the static built environment does not fit people anymore? This paper explores the problem of developing a model from people's motion, to inform and augment the architecture design process in the early stages. As an outcome, I have designed a model based on data from human-space interaction obtained through field work. First, relevant behavior was identified and recorded. Second, a metric was extracted from the data and composed by speed, the 4th D dimension as time, and gestures. Third, the original behavior was rebuilt, producing a set of rules. The rules were combined to form the model of human-space interaction. This generalizable model provides a novel approach to designing space based on data from people. Moreover, this paper presents a means of incorporating inhabitants' behavior into digital design. Finally, the model contributes to the advancement of people's motion research for general applications, such as in transport engineering, robotics, and cognitive sciences.
keywords	design methods; information processing; simulation & optimization; data visualization
series	ACADIA
email
last changed	2022/06/07 07:51

For more results click below: