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

_id	ecaade2018_329
id	ecaade2018_329
authors	De Luca, Francesco, Nejur, Andrei and Dogan, Timur
year	2018
title	Facade-Floor-Cluster - Methodology for Determining Optimal Building Clusters for Solar Access and Floor Plan Layout in Urban Environments
doi	https://doi.org/10.52842/conf.ecaade.2018.2.585
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. 585-594
summary	Daylight standards are one of the main factors for the shape and image of cities. With urbanization and ongoing densification of cities, new planning regulations are emerging in order to manage access to sun light. In Estonia a daylight standard defines the rights of light for existing buildings and the direct solar access requirement for new premises. The solar envelope method and environmental simulations to compute direct sun light hours on building façades can be used to design buildings that respect both daylight requirements. However, no existing tool integrates both methods in an easy to use manner. Further, the assessment of façade performance needs to be related to the design of interior layouts and of building clusters to be meaningful to architects. Hence, the present work presents a computational design workflow for the evaluation and optimisation of high density building clusters in urban environments in relation to direct solar access requirements and selected types of floor plans.
keywords	Performance-driven Design; Urban Design; Direct Solar Access; Environmental Simulations and Evaluations; Parametric Modelling
series	eCAADe
email
last changed	2022/06/07 07:55

_id	acadia18_434
id	acadia18_434
authors	Meibodi, Mania Aghaei ; Jipa, Andrei; Giesecke, Rena; Shammas, Demetris; Bernhard, Mathias; Leschok, Matthias; Graser, Konrad; Dillenburger, Benjamin
year	2018
title	Smart Slab. Computational design and digital fabrication of a lightweight concrete slab
doi	https://doi.org/10.52842/conf.acadia.2018.434
source	ACADIA // 2018: Recalibration. On imprecisionand infidelity. [Proceedings of the 38th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-17729-7] Mexico City, Mexico 18-20 October, 2018, pp. 434-443
summary	This paper presents a computational design approach and novel digital fabrication method for an optimized lightweight concrete slab using a 3D-printed formwork. Smart Slab is the first concrete slab fabricated with a 3D-printed formwork. It is a lightweight concrete slab, displaying three-dimensional geometric differentiation on multiple scales. The optimization of slab systems can have a large impact on buildings: more compact slabs allow for more usable space within the same building volume, refined structural concepts allow for material reduction, and integrated prefabrication can reduce complexity on the construction site. Among the main challenges is that optimized slab geometries are difficult to fabricate in a conventional way because non-standard formworks are very costly. Novel digital fabrication methods such as additive manufacturing of concrete can provide a solution, but until now the material properties and the surface quality only allow for limited applications. The fabrication approach presented here therefore combines the geometric freedom of 3D binderjet printing of formworks with the structural performance of fiber reinforced concrete. Using 3D printing to fabricate sand formwork for concrete, enables the prefabrication of custom concrete slab elements with complex geometric features with great precision. In addition, space for building systems such as sprinklers and Lighting could be integrated in a compact way. The design of the slab is based on a holistic computational model which allows fast design optimization and adaptation, the integration of the planning of the building systems, and the coordination of the multiple fabrication processes involved with an export of all fabrication data. This paper describes the context, design drivers, and digital design process behind the Smart Slab, and then discusses the digital fabrication system used to produce it, focusing on the 3D-printed formwork. It shows that 3D printing is already an attractive alternative for custom formwork solutions, especially when strategically combined with other CNC fabrication methods. Note that smart slab is under construction and images of finished elements can be integrated within couple of weeks.
keywords	full paper, digital fabrication, computation, generative design, hybrid practices
series	ACADIA
type	paper
email
last changed	2022/06/07 07:58

_id	ecaade2018_394
id	ecaade2018_394
authors	Rubinowicz, Pawe³
year	2018
title	Application of Available Digital Resources for City Visualisation and Urban Analysis
doi	https://doi.org/10.52842/conf.ecaade.2018.2.595
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. 595-602
summary	The article presents two methods for generating 3D city models. The methods are based on LiDAR and GIS-2D data. The first one enables to create automatically simplified city models that include buildings in the LoD1 standard (excluding roof geometry). The second one provides for generating precise 3D city models including all components of the city space, such as buildings, tall green, city infrastructure. This involves direct transformation of DSM (Digital Surface Model) data as mesh-3D. The analyses presented are based on data available in Poland (in particular GIS). The results of the study can be easily applied for analysing other cities in Europe and elsewhere in the world. The article presents possibilities of using such models to urban analyses. The methods and figures included in the article have been developed using C++ software developed by the author.
keywords	airborne LiDAR scanning; Digital Surface Model; BDOT 10k; city visualization; digital urban analysis; urban design
series	eCAADe
email
last changed	2022/06/07 07:56

_id	caadria2018_264
id	caadria2018_264
authors	Ren, Hui, Han, Yunsong and Sun, Cheng
year	2018
title	transDATA: A Data Recording and Exchanging Plug-in for Architectural Computational Design
doi	https://doi.org/10.52842/conf.caadria.2018.2.051
source	T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.), Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 2, Tsinghua University, Beijing, China, 17-19 May 2018, pp. 51-60
summary	Building form has a profound influence on the green performance of buildings. And the modeling tools are one of the factors can affect the building forms which play an important role in the design process. Nowadays, parametric modeling tools become popular in the architectural area. However, the functions of data processing and data comparison cannot meet the current modeling data processing requirements which need to be improved urgently. This paper developed the transDATA, which is a plugin based on python to realize the data exchanging and data visualization functions between Grasshopper, Excel and the Figure of python. This plugin allows architects to compare the history design parameters of the building and help architects to select the most ideal scheme efficiently.
keywords	TransDATA; Data processing; Data visualization; Computational design
series	CAADRIA
email
last changed	2022/06/07 07:56

_id	caadria2018_037
id	caadria2018_037
authors	Valitabar, Mahdi, Moghimi, Mahdi, Mahdavinejad, Mohammadjavad and Pilechiha, Peiman
year	2018
title	Design Optimum Responsive Façade Based on Visual Comfort and Energy Performance
doi	https://doi.org/10.52842/conf.caadria.2018.2.093
source	T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.), Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 2, Tsinghua University, Beijing, China, 17-19 May 2018, pp. 93-102
summary	Responsive Facades duo to continuously changes in climate conditions have an important role in reducing energy usage of buildings while providing higher level of visual comfort. This paper is a comparative study of responsive facades in a virtual format. Honeybee and Ladybug software were used for modeling and evaluating visual comfort as well as calculation of the energy consumption in a 3D model. It's a plug-in for grasshopper. This article's problem includes tow visual comfort criteria, DGP and illuminance. Various types of vertical and horizontal responsive facades were compared with a new form to achieve the optimal responsive façade. The results of research imply that with a few changes in secondary skin the new concept could slash energy use like common responsive facades while providing higher level of visual comfort. The important distinguishing point is the new concept from the same sample of responsive facades that is designed to pay more attention to the occupants' view connection with outside.
keywords	Responsive Facades; Architectural Design optimization; Visual comfort; Energy consumption
series	CAADRIA
email
last changed	2022/06/07 07:57

_id	acadia23_v1_166
id	acadia23_v1_166
authors	Chamorro Martin, Eduardo; Burry, Mark; Marengo, Mathilde
year	2023
title	High-performance Spatial Composite 3D Printing
source	ACADIA 2023: Habits of the Anthropocene: Scarcity and Abundance in a Post-Material Economy [Volume 1: Projects Catalog of the 43rd Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 979-8-9860805-8-1]. Denver. 26-28 October 2023. edited by A. Crawford, N. Diniz, R. Beckett, J. Vanucchi, M. Swackhamer 166-171.
summary	This project explores the advantages of employing continuum material topology optimization in a 3D non-standard lattice structure through fiber additive manufacturing processes (Figure 1). Additive manufacturing (AM) has gained rapid adoption in architecture, engineering, and construction (AEC). However, existing optimization techniques often overlook the mechanical anisotropy of AM processes, resulting in suboptimal structural properties, with a focus on layer-by-layer or planar processes. Materials, processes, and techniques considering anisotropy behavior (Kwon et al. 2018) could enhance structural performance (Xie 2022). Research on 3D printing materials with high anisotropy is limited (Eichenhofer et al. 2017), but it holds potential benefits (Liu et al. 2018). Spatial lattices, such as space frames, maximize structural efficiency by enhancing flexural rigidity and load-bearing capacity using minimal material (Woods et al. 2016). From a structural design perspective, specific non-standard lattice geometries offer great potential for reducing material usage, leading to lightweight load-bearing structures (Shelton 2017). The flexibility and freedom of shape inherent to AM offers the possibility to create aggregated continuous truss-like elements with custom topologies.
series	ACADIA
type	project
email
last changed	2024/04/17 13:58

_id	sigradi2018_1444
id	sigradi2018_1444
authors	Lima da Silva, Juliano; Quadrado Mussi, Andréa; Leal da Silva, Thaísa; Zardo, Paola
year	2018
title	Designers of the XXI century: BIM software programming and the development of new competencies
source	SIGraDi 2018 [Proceedings of the 22nd Conference of the Iberoamerican Society of Digital Graphics - ISSN: 2318-6968] Brazil, São Carlos 7 - 9 November 2018, pp. 538-545
summary	This paper presents the scenario of programming use by architects and engineers by creation of their own unique tools. It aims to emulate and understand BIM software customization phenomenon by development of plug-ins. Design Science Research was used to direct the construction of artifacts for specific practical problems. Results are presented by development of Revit plug-ins to meet Brazilian Performance Standard criteria in areas of acoustic and luminous performance. It is concluded that scripting enables the designer to tailor processes to their own particularities, possibly becoming a high-impact skill in the future, with importance regarding their independence and versatility.
keywords	BIM; Programming; Design science research; Dynamo; Performance Standard
series	SIGRADI
email
last changed	2021/03/28 19:58

_id	ecaade2018_170
id	ecaade2018_170
authors	Shahsavari, Fatemeh, Koosha, Rasool, Vahid, Milad R., Yan, Wei and Clayton, Mark
year	2018
title	Towards the Application of Uncertainty Analysis in Architectural Design Decision-Making - A Probabilistic Model and Applications
doi	https://doi.org/10.52842/conf.ecaade.2018.1.295
source	Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 1, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 295-304
summary	To this day, proper handling of uncertainties -including unknown variables in primary stages of a design, an actual climate data, occupants' behavior, and degradation of material properties over the time- remains as a primary challenge in an architectural design decision-making process. For many years, conventional methods based on the architects' intuition have been used as a standard approach dealing with uncertainties and estimating the resulting errors. However, with buildings reaching great complexity in both their design and material selections, conventional approaches come short to account for ever-existing but unpredictable uncertainties and prove incapable of meeting the growing demand for precise and reliable predictions. This study aims to develop a probability-based framework and associated prototypes to employ uncertainty analysis and sensitivity analysis in architectural design decision-making. The current research explores an advanced physical model for thermal energy exchange characteristics of a hypothetical building and uses it as a test case to demonstrate the proposed probability-based analysis framework. The proposed framework provides a means to employ uncertainty and sensitivity analysis to improve reliability and effectiveness in a buildings design decision-making process.
keywords	Probability-based design decision; uncertainty analysis; sensitivity analysis; building energy consumption model
series	eCAADe
email
last changed	2022/06/07 07:57

_id	ecaade2018_409
id	ecaade2018_409
authors	Sousa, José Pedro, Azambuja Varela, Pedro de, Carvalho, Jo?o, Santos, Rafael and Oliveira, Manuel
year	2018
title	Mass-customization of Joints for Non-Standard Structures through Additive Manufacturing - The Trefoil and the TriArch projects
doi	https://doi.org/10.52842/conf.ecaade.2018.1.197
source	Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 1, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 197-204
summary	Due to recent advancements, additive manufacturing technologies (AM) have finally addressed the scale and materiality in architecture. The exploration of its capabilities has balanced between the idea of printing entire structures and buildings, and that of printing just a set of selected parts that will integrate and affect the final construction. In the context of the latter approach, this paper present a research work developed by the Digital Fabrication Laboratory (DFL) at FAUP, which is focused in the design and fabrication of non-standard structures. By discussing the relevance of non-standardization in architecture, the paper describes and illustrates two projects that explore the mass production of customized joints through computational design methods and AM technologies - the TREFOIL and the TRI-ARCH structures. By focusing the attention just in the smallest component of a structure, the paper argues about the short-term potential of the real impact of AM technologies in the design thinking and materialization of architectural structures.
keywords	Non-standard structures; Additive Manufacturing; 3D Printing; Computational Design; Mass Customization
series	eCAADe
email
last changed	2022/06/07 07:56

_id	ecaade2018_360
id	ecaade2018_360
authors	Zwoliñski, Adam
year	2018
title	Area and Volume Quantification of Open Spaces in Urban Structures Using 3d-Negative (N3D)
doi	https://doi.org/10.52842/conf.ecaade.2018.1.531
source	Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 1, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 531-538
summary	The article, in the general extent, touches upon issue of the awareness of the cityscape in morphological terms. It concerns in particular the system of open spaces as an unique component of the urban structure of cities. The measurability of the phenomena still seems to be a challenge. The considerations presented in the article are embedded in the environment of virtual city models. The 3D-Negative (N3D) method developed by the author for generating and analyzing open space geometries in the virtual city model environment is used for example area and volume representation of urban structures in terms of space between buildings. The source analytic virtual city model data is generated on the basis of combination of DSM and DTM models. The cases discussed in the article prove the intuitive perception of open spaces in a quantifiable way. In the aspect of spatial data standardization, the presented analyses are embedded in the cityGML LOD1 standard.
keywords	virtual city models; open spaces morphology; geometry of cityscape; 3D-Negative (N3D); advanced urban analyses
series	eCAADe
email
last changed	2022/06/07 07:57

_id	acadia18_136
id	acadia18_136
authors	Austern, Guy; Capeluto, Isaac Guedi; Grobman, Yasha Jacob
year	2018
title	Fabrication-Aware Design of Concrete Façade Panels. A Computational Method For Evaluating the Fabrication of Large- Scale Molds in Complex Geometries
doi	https://doi.org/10.52842/conf.acadia.2018.136
source	ACADIA // 2018: Recalibration. On imprecisionand infidelity. [Proceedings of the 38th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-17729-7] Mexico City, Mexico 18-20 October, 2018, pp. 136-145
summary	This paper presents a design methodology for concrete façade panels that takes into consideration constraints related to digital fabrication machinery. A computational method for the real-time evaluation of industrial mold-making techniques, such as milling and hot wire cutting, was developed. The method rapidly evaluates the feasibility, material use, and machining time of complex geometry molds for architectural façade elements. Calculation speed is achieved by mathematically approximating CAM-machining operations. As results are obtained in nearly real time, the method can be easily incorporated into the architectural design process during its initial stages, when changes to the design are more effective. In the paper, we describe the algorithms of the computational evaluation method. We also show how it can be used to introduce fabrication considerations into the design process by using it to rationalize several types of panels. Additionally, we demonstrate how the method can be used in complex, large-scale architectural projects to save machining time and materials by evaluating and altering the paneling subdivision.
keywords	full paper, fabrication & robotics, digital fabrication, performance + simulation, geometry
series	ACADIA
type	paper
email
last changed	2022/06/07 07:54

_id	ecaade2018_405
id	ecaade2018_405
authors	Belém, Catarina and Leit?o, António
year	2018
title	From Design to Optimized Design - An algorithmic-based approach
doi	https://doi.org/10.52842/conf.ecaade.2018.2.549
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. 549-558
summary	Stringent requirements of efficiency and sustainability lead to the demand for buildings that have good performance regarding different criteria, such as cost, lighting, thermal, and structural, among others. Optimization can be used to ensure that such requirements are met. In order to optimize a design, it is necessary to generate different variations of the design, and to evaluate each variation regarding the intended criteria. Currently available design and evaluation tools often demand manual and time-consuming interventions, thus limiting design variations, and causing architects to completely avoid optimization or to postpone it to later stages of the design, when its benefits are diminished. To address these limitations, we propose Algorithmic Optimization, an algorithmic-based approach that combines an algorithmic description of building designs with automated simulation processes and with optimization processes. We test our approach on a daylighting optimization case study and we benchmark different optimization methods. Our results show that the proposed workflow allows to exclude manual interventions from the optimization process, thus enabling its automation. Moreover, the proposed workflow is able to support the architect in the choice of the optimization method, as it enables him to easily switch between different optimization methods.
keywords	Algorithmic Design; Algorithmic Analysis; Algorithmic Optimization; Lighting optimization; Black-Box optimization
series	eCAADe
email
last changed	2022/06/07 07:54

_id	ecaade2018_187
id	ecaade2018_187
authors	Chatzivasileiadi, Aikaterini, Hosney Lila, Anas M., Lannon, Simon and Jabi, Wassim
year	2018
title	The Effect of Reducing Geometry Complexity on Energy Simulation Results
doi	https://doi.org/10.52842/conf.ecaade.2018.2.559
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. 559-568
summary	Accuracy and time are metrics inherently associated with the design process and the energy performance simulation of buildings. The accurate representation of the building is an essential requirement for energy analysis, which comes with the expense of time; however, this is in contrast with the need to minimise the simulation time in order to make it compatible with design times. This is a particularly interesting aspect in the case of complex geometries, which are often simplified for use in building energy performance simulation. The effects of this simplification on the accuracy of simulation results are not usually reported. This paper explored these effects through a systematic analysis of several test cases. The results indicate that the use of orthogonal prisms as simplified surrogates for buildings with complex shapes presents a worst-case scenario that should be avoided where possible. A significant reduction of geometry complexity by at least 50% can also be achieved with negligible effects on simulation results, while minimising the time requirements. Accuracy, however, deteriorates rapidly below a critical threshold.
keywords	Building performance simulation; Energy analysis; Geometry simplification
series	eCAADe
email
last changed	2022/06/07 07:55

_id	acadia20_382
id	acadia20_382
authors	Hosmer, Tyson; Tigas, Panagiotis; Reeves, David; He, Ziming
year	2020
title	Spatial Assembly with Self-Play Reinforcement Learning
doi	https://doi.org/10.52842/conf.acadia.2020.1.382
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. 382-393.
summary	We present a framework to generate intelligent spatial assemblies from sets of digitally encoded spatial parts designed by the architect with embedded principles of prefabrication, assembly awareness, and reconfigurability. The methodology includes a bespoke constraint-solving algorithm for autonomously assembling 3D geometries into larger spatial compositions for the built environment. A series of graph-based analysis methods are applied to each assembly to extract performance metrics related to architectural space-making goals, including structural stability, material density, spatial segmentation, connectivity, and spatial distribution. Together with the constraint-based assembly algorithm and analysis methods, we have integrated a novel application of deep reinforcement (RL) learning for training the models to improve at matching the multiperformance goals established by the user through self-play. RL is applied to improve the selection and sequencing of parts while considering local and global objectives. The user’s design intent is embedded through the design of partial units of 3D space with embedded fabrication principles and their relational constraints over how they connect to each other and the quantifiable goals to drive the distribution of effective features. The methodology has been developed over three years through three case study projects called ArchiGo (2017–2018), NoMAS (2018–2019), and IRSILA (2019-2020). Each demonstrates the potential for buildings with reconfigurable and adaptive life cycles.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	ecaade2018_247
id	ecaade2018_247
authors	Ilunga, Guilherme and Leit?o, António
year	2018
title	Derivative-free Methods for Structural Optimization
doi	https://doi.org/10.52842/conf.ecaade.2018.1.179
source	Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 1, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 179-186
summary	The focus on efficiency has grown over recent years, and nowadays it is critical that buildings have a good performance regarding different criteria. This need prompts the usage of algorithmic approaches, analysis tools, and optimization algorithms, to find the best performing variation of a design. There are many optimization algorithms and not all of them are adequate for a specific problem. However, Genetic Algorithms are frequently the first and only option, despite being considered last resort algorithms in the mathematical field. This paper discusses methods for structural optimization and applies them on a structural problem. Our tests show that Genetic Algorithms perform poorly, while other algorithms achieve better results. However, they also show that no algorithm is consistently better than the others, which suggests that for structural optimization, several algorithms should be used, instead of simply using Genetic Algorithms.
keywords	Derivative-free Optimization; Black-box Optimization; Structural Optimization; Algorithmic Design
series	eCAADe
email
last changed	2022/06/07 07:49

_id	ecaade2018_310
id	ecaade2018_310
authors	Jabi, Wassim, Aish, Robert, Lannon, Simon, Chatzivasileiadi, Aikaterini and Wardhana, Nicholas Mario
year	2018
title	Topologic - A toolkit for spatial and topological modelling
doi	https://doi.org/10.52842/conf.ecaade.2018.2.449
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. 449-458
summary	This paper describes non-manifold topology (NMT) as it relates to the field of architecture and presents Topologic, an open-source software modelling library enabling hierarchical and topological representations of architectural spaces, buildings and artefacts through NMT. Topologic is designed as a core library and additional plugins to visual data flow programming (VDFP) software. The software architecture and class hierarchy are explained and two domain-specific demonstrative tools (TopologicEnergy and TopologicStructure) are presented to illustrate how third-party software developers could use Topologic to build their own solutions. The paper concludes with a reflection on the benefits and limitations of NMT in the design and simulation workflows and outlines future work.
keywords	Non-manifold topology; Visual data flow programming; Building performance simulation; Structural analysis; Computational design; Building information modelling
series	eCAADe
email
last changed	2022/06/07 07:51

_id	ecaade2018_354
id	ecaade2018_354
authors	Leitão, António, Sousa, Sofia and Loio, Francisco
year	2018
title	SafePath - An Agent-Based Framework to Simulate Crowd Behaviors
doi	https://doi.org/10.52842/conf.ecaade.2018.2.621
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. 621-628
summary	Nowadays, many buildings need to accommodate large numbers and/or large concentrations of people. Despite the efforts to produce building designs that can safely evacuate occupants, accidents continue to happen with dramatic consequences. This happens, in part, because of the difficulty in anticipating the consequences of design decisions regarding building's evacuation performance. In order to improve the situation, one needs to resort to evacuation simulation tools. These, however, have two problems: (1) they require analytic building models that are difficult to produce manually, and (2) they tend to focus on evacuations under non-emergency conditions, where panic phenomena is not present. In this paper, we propose a combination between algorithmic design and different evacuation simulators that allows for the quick simulation of many design variations.
keywords	Agent-based Modelling; Algorithmic Design; Evacuation Performance; Evacuation Simulation
series	eCAADe
type	normal paper
email
last changed	2022/06/07 07:52

_id	acadia20_574
id	acadia20_574
authors	Nguyen, John; Peters, Brady
year	2020
title	Computational Fluid Dynamics in Building Design Practice
doi	https://doi.org/10.52842/conf.acadia.2020.1.574
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. 574-583.
summary	This paper provides a state-of-the-art of computational fluid dynamics (CFD) in the building industry. Two methods were used to find this new knowledge: a series of interviews with leading architecture, engineering, and software professionals; and a series of tests in which CFD software was evaluated using comparable criteria. The paper reports findings in technology, workflows, projects, current unmet needs, and future directions. In buildings, airflow is fundamental for heating and cooling, as well as occupant comfort and productivity. Despite its importance, the design of airflow systems is outside the realm of much of architectural design practice; but with advances in digital tools, it is now possible for architects to integrate air flow into their building design workflows (Peters and Peters 2018). As Chen (2009) states, “In order to regulate the indoor air parameters, it is essential to have suitable tools to predict ventilation performance in buildings.” By enabling scientific data to be conveyed in a visual process that provides useful analytical information to designers (Hartog and Koutamanis 2000), computer performance simulations have opened up new territories for design “by introducing environments in which we can manipulate and observe” (Kaijima et al. 2013). Beyond comfort and productivity, in recent months it has emerged that air flow may also be a matter of life and death. With the current global pandemic of SARS-CoV-2, it is indoor environments where infections most often happen (Qian et al. 2020). To design architecture in a post-COVID-19 environment will require an in-depth understanding of how air flows through space.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	ecaade2018_279
id	ecaade2018_279
authors	Wortmann, Thomas, Akbar, Zuardin and Schroepfer, Thomas
year	2018
title	Surveying Fitness Landscapes with Performance Explorer - Supporting the Design of a Better Tomorrow with Interactive Visualizations
doi	https://doi.org/10.52842/conf.ecaade.2018.1.621
source	Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 1, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 621-630
summary	Increasing applications of parametric design and performance simulations by architectural designers present opportunities to design more resource- and energy-efficient buildings via simulation-based optimization. But Architectural Design Optimization (ADO) is less widespread that one might expect, due to, among other challenges, the problematic integration of optimization with architectural design. This problematic integration stems from a contrast between "wicked" or "co-evolving" architectural design problems and optimization problems. To mitigate the contrast between architectural and optimization problems, this paper presents Performance Explorer, an interactive, visual tool for performance-informed design space exploration (DSE). Performance-informed DSE emphasizes selection, refinement, and understanding over finding highest-performing design candidates. Performance Explorer allows interactive DSE via a visualization of a fitness landscape, with real-time feedback provided with a surrogate model. Performance Explorer is evaluated through a user test with thirty participants and emerges as more supportive and enjoyable to use than manual search and/or optimization.
keywords	Architectural Design Optimization; Performance-informed Design; Interactive Visualization; Design Tool
series	eCAADe
email
last changed	2022/06/07 07:57

_id	caadria2018_209
id	caadria2018_209
authors	Yao, Jiawei, Lin, Yuqiong, Zhao, Yao, Yan, Chao, Li, Changlin and Yuan, Philip F.
year	2018
title	Augmented Reality Technology based Wind Environment Visualization
doi	https://doi.org/10.52842/conf.caadria.2018.1.369
source	T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.), Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 1, Tsinghua University, Beijing, China, 17-19 May 2018, pp. 369-377
summary	Considering the outdoor environment at the initial stage of design process plays a significant role on future building performance. Augmented Reality (AR) technology applied in this research can integrate real world building morphology information and virtual world ventilation information seamlessly that rapidly and directly provides designers information for observation and evaluation. During the case study of "2017 Shanghai DigitalFUTURE" summer workshop, a research on augmented reality technology based wind environment visualization was carried on. The achievement with an application software not only showed the geometric information of the real world objects (such as buildings), but also the virtual wind environment has displayed. Thus, these two kinds of information can complement and superimpose each other. This AR technology based software brings multiple synthetic together, which can (1) visualize the air flow around buildings that provides designers rapid and direct information for evaluation; (2) deal with wind-environment-related data quantitatively and present in an intuitive, easy-to-interpret graphical way; and (3) be further developed as a visualization system based on built-in environments in the future, which contributes to rapid evaluation of a series of programs at the beginning of the building design.
keywords	Environment visualization; Augmented reality technology; Fast response; Outdoor ventilation
series	CAADRIA
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