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	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_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_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	caadria2018_181
id	caadria2018_181
authors	Chun, Junho, Lee, Juhun and Park, Daekwon
year	2018
title	TOPO-JOINT - Topology Optimization Framework for 3D-Printed Building Joints
doi	https://doi.org/10.52842/conf.caadria.2018.1.205
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. 205-214
summary	Joints and connectors are often the most complex element in building assemblies and systems. To ensure the performance of the assemblies and systems, it is critical to optimize the geometry and configurations of the joints based on key functional requirements (e.g., stiffness and thermal exchange). The proposed research focuses on developing a multi-objective topology optimization framework that can be utilized to design highly customized joints and connections for building applications. The optimized joints that often resemble tree structures or bones are fabricated using additive manufacturing techniques. This framework is built upon the integration of high-fidelity topology optimization algorithms, additive manufacturing, computer simulations and parametric design. Case studies and numerical applications are presented to demonstrate the validity and effectiveness of the proposed optimization and additive manufacturing framework. Optimal joint designs from a variety of architectural and structural design considerations, such as stiffness, thermal exchange, and vibration are discussed to provide an insightful interpretation of these interrelationships and their impact on joint performance.
keywords	Topology optimization; parametric design; 3d printing
series	CAADRIA
email
last changed	2022/06/07 07:56

_id	ecaade2018_139
id	ecaade2018_139
authors	Cudzik, Jan and Radziszewski, Kacper
year	2018
title	Artificial Intelligence Aided Architectural Design
doi	https://doi.org/10.52842/conf.ecaade.2018.1.077
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. 77-84
summary	Tools and methods used by architects always had an impact on the way building were designed. With the change in design methods and new approaches towards creation process, they became more than ever before crucial elements of the creation process. The automation of architects work has started with computational functions that were introduced to traditional computer-aided design tools. Nowadays architects tend to use specified tools that suit their specific needs. In some cases, they use artificial intelligence. Despite many similarities, they have different advantages and disadvantages. Therefore the change in the design process is more visible and unseen before solution are brought in the discipline. The article presents methods of applying the selected artificial intelligence algorithms: swarm intelligence, neural networks and evolutionary algorithms in the architectural practice by authors. Additionally research shows the methods of analogue data input and output approaches, based on vision and robotics, which in future combined with intelligence based algorithms, might simplify architects everyday practice. Presented techniques allow new spatial solutions to emerge with relatively simple intelligent based algorithms, from which many could be only accomplished with dedicated software. Popularization of the following methods among architects, will result in more intuitive, general use design tools.
keywords	computer aideed design; artificial intelligence,; evolutionary algorithms; swarm behaviour; optimization; parametric design
series	eCAADe
email
last changed	2022/06/07 07:56

_id	ecaade2018_296
id	ecaade2018_296
authors	Czyñska, Klara
year	2018
title	High Precision Visibility and Dominance Analysis of Tall Building in Cityscape - On a basis of Digital Surface Model
doi	https://doi.org/10.52842/conf.ecaade.2018.1.481
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. 481-488
summary	The article presents a methodology applied for the assessment of the tall building visual impact on the city scape, using digital tools. The method has been used by the author in the planning practice in several cities in Poland. It enables to determine not only the visibility range of a planned tall building in the city spaces, but also the extent to which it dominates. Findings are presented in a map which reflects both parameters applicable to a given facility. Computation of findings is based on the model of a city consisting of a regular cloud of points (Digital Surface Model) of high quality and dedicated C++ software (developed in cooperation with author). The Visual Impact Size (VIS) method supports the process of conservation and landscaping, in particular in historical cities. It helps predicting spatial implications tall buildings may have. It may also be used for comprehensive development of a modern skyline with tall buildings as a harmonious component of the cityscape. The method is presented using the case study of the Hanza Tower building in Szczecin (Poland).
keywords	digital cityscape analysis; tall buildings; visual impact; Visual Impact Size method; viewshed; Hanza Tower in Szczecin
series	eCAADe
email
last changed	2022/06/07 07:56

_id	ecaade2018_433
id	ecaade2018_433
authors	Daher, Elie, Kubicki, Sylvain and Pak, Burak
year	2018
title	Participation-based Parametric Design in Early Stages - A participative design process for spatial planning in office building
doi	https://doi.org/10.52842/conf.ecaade.2018.1.429
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. 429-438
summary	The term participation has been used to define different activities, such as civil debate, communication, consultation, delegation, self-help construction, political decisions. However, participation in design started from the idea that individuals whom being affected by a design project must contribute to the design process. Recently, designers have been moving closer to the future users and developing new ways to empower them to get involved in the design process. In this paper we rethink the way the early design process is developed in a participatory approach thanks to parametric methods. A use case is proposed showing the potential of parametric design methods to empower the participation of users in the design of their facilities. The use case is dealing in particular with the spatial planning of an office building where the users together with the spatial planning team are able to design the layout spatial configuration by 1) fixing the objectives, 2) manipulating the model, 3)modifying some parameters, 4) visualizing the iterations and evaluating in a real-time each solution in an interactive 3D environment and together with facility managers 5) choosing the configuration of the spatial layout.
keywords	Computational design; Participatory design; Optimization ; Parametric design
series	eCAADe
email
last changed	2022/06/07 07:56

_id	ecaade2018_425
id	ecaade2018_425
authors	Foged, Isak Worre and Jensen, Mads Brath
year	2018
title	Thermal Compositions Through Robot Based Thermal Mass Distribution
doi	https://doi.org/10.52842/conf.ecaade.2018.1.783
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. 783-790
summary	This work develops, implement and test a method and model for the distribution of material in relation to thermal performances through robot based extrusion of concrete. The aim is to suggest a way for architecture to use advanced fabrication techniques towards environmental passive strategies, which potentially decrease a buildings operative energy budget, while creating articulated thermal sensations for humans. Through computational, material and design explorations, by prototypes and a final demonstrator, the work proposes how thermal mass can be organized both in terms of its robot based successive fabrication based layering and as an approach to generate an assembly of thermal based building blocks into architectural structures.
keywords	Robot based concrete extrusion; Thermal Architecture; Simulation; Demonstrator
series	eCAADe
email
last changed	2022/06/07 07:51

_id	ecaaderis2018_104
id	ecaaderis2018_104
authors	Hollberg, Alexander, Hildebrand, Linda and Habert, Guillaume
year	2018
title	Environmental design - Lessons learned from teaching LCA
source	Odysseas Kontovourkis (ed.), Sustainable Computational Workflows [6th eCAADe Regional International Workshop Proceedings / ISBN 9789491207143], Department of Architecture, University of Cyprus, Nicosia, Cyprus, 24-25 May 2018, pp. 65-74
keywords	Architects largely define the environmental impact a building will cause throughout its life cycle. Especially decisions taken in early design stages have a great influence on the environmental performance. The integration of environmental assessment into the design process requires adequate tools and basic knowledge of the architects using them. This paper discusses both aspects by means of two case studies with students. In both case studies, the goal was to use Life Cycle Assessment (LCA) to optimize the environmental performance of the building in the design process. The results of the first case study proved the benefits of using LCA-based information for decision-making, but some issues of using the tool during the design process became evident. In the second case study an improved LCA-tool was employed that proved to be applicable by all students. Nevertheless, only one group used the feedback to optimize the building design in an iterative process as intended by the supervisors. This leads to the conclusion that the difficulty of environmental design shifted from a lack of adequate assessment tools to the question of the design approach.
series	eCAADe
email
last changed	2018/05/29 14:33

_id	ecaade2018_315
id	ecaade2018_315
authors	Koehler, Daniel, Abo Saleh, Sheghaf, Li, Hua, Ye, Chuwei, Zhou, Yaonaijia and Navasaityte, Rasa
year	2018
title	Mereologies - Combinatorial Design and the Description of Urban Form.
doi	https://doi.org/10.52842/conf.ecaade.2018.2.085
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. 85-94
summary	This paper discusses the ability to apply machine learning to the combinatorial design-assembly at the scale of a building to urban form. Connecting the historical lines of discrete automata in computer science and formal studies in architecture this research contributes to the field of additive material assemblies, aggregative architecture and their possible upscaling to urban design. The following case studies are a preparation to apply deep-learning on the computational descriptions of urban form. Departing from the game Go as a testbed for the development of deep-learning applications, an equivalent platform can be designed for architectural assembly. By this, the form of a building is defined via the overlap between separate building parts. Building on part-relations, this research uses mereology as a term for a set of recursive assembly strategies, integrated into the design aspects of the building parts. The models developed by research by design are formally described and tested under a digital simulation environment. The shown case study shows the process of how to transform geometrical elements to architectural parts based merely on their compositional aspects either in horizontal or three-dimensional arrangements.
keywords	Urban Form; Discrete Automata ; Combinatorics; Part-Relations; Mereology; Aggregative Architecture
series	eCAADe
email
last changed	2022/06/07 07:51

_id	ecaaderis2018_112
id	ecaaderis2018_112
authors	Kontovourkis, Odysseas and Konatzii, Panagiota
year	2018
title	Design-static analysis and environmental assessment investigation based on a kinetic formwork-driven by digital fabrication principles
source	Odysseas Kontovourkis (ed.), Sustainable Computational Workflows [6th eCAADe Regional International Workshop Proceedings / ISBN 9789491207143], Department of Architecture, University of Cyprus, Nicosia, Cyprus, 24-25 May 2018, pp. 131-140
keywords	This research focuses on design-static analysis and environmental assessment procedures that are based on the idea of a flexible kinetic formwork used as the automated mechanism for the production of bricks for porous wall structures. A key aspect of this investigation is the Life Cycle Assessment (LCA) analysis study that is applied in order to achieve, in parallel with the automated procedure, the sustainable potential of the products. For this purpose, the design and construction flexibility of the product is taken into account from the early design decision making stage by examining different sizes of bricks under fabrication including massive or porous ones in order to test their design and static performance, aiming to adapt their shape in multiple functional and environmental scenarios. In parallel, the LCA impact of the given design scenarios are taken into consideration, again from the early design phase, and include, among other objectives, material minimization, less environmental impact of building materials and less energy consumption based on the proposed digital fabrication technology. This is examined by comparing digital design and robotic automated results using three types of ecological materials.
series	eCAADe
email
last changed	2018/05/29 14:33

_id	caadria2018_268
id	caadria2018_268
authors	Lim, Joie, Janssen, Patrick and Stouffs, Rudi
year	2018
title	Automated Generation of BIM Models from 2D CAD Drawings
doi	https://doi.org/10.52842/conf.caadria.2018.2.061
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. 61-70
summary	Existing buildings are often lacking BIM models. This paper proposes a method to semi-automate the generation of BIM models from 2D CAD drawings. The method has two parts: the first part, 2D CAD drawing preparation, involves cleaning the drawings to obtain simplified 2D input geometry and the second, 3D BIM model generation, involves generating and extracting parameters to generate 3D BIM components. This research focuses on the semi-automation of the second part. The the model is generated storey by storey, with each building element type being processed. A demonstration was carried out for a case-study building. The main modelling strategies used by the method are described and key challenges are discussed.
keywords	BIM; CAD drawings; conversion; generation; Grasshopper
series	CAADRIA
email
last changed	2022/06/07 07:59

_id	caadria2018_083
id	caadria2018_083
authors	Luo, Dan, Wang, Jinsong and Xu, Weiguo
year	2018
title	Robotic Automatic Generation of Performance Model for Non-Uniform Linear Material via Deep Learning
doi	https://doi.org/10.52842/conf.caadria.2018.1.039
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. 39-48
summary	In the following research, a systematic approach is developed to generate an experiment-based performance model that computes and customizes properties of non-uniform linear materials to accommodate the form of designated curve under bending and natural force. In this case, the test subject is an elastomer strip of non-uniform sections. A novel solution is provided to obtain sufficient training data required for deep learning with an automatic material testing mechanism combining robotic arm automation and image recognition. The collected training data are fed into a deep combination of neural networks to generate a material performance model. Unlike most traditional performance models that are only able to simulate the final form from the properties and initial conditions of the given materials, the trained neural network offers a two-way performance model that is also able to compute appropriate material properties of non-uniform materials from target curves. This network achieves complex forms with minimal and effective programmed materials with complicated nonlinear properties and behaving under natural forces.
keywords	Material performance model; Deep Learning; Robotic automation; Material computation; Neural network
series	CAADRIA
email
last changed	2022/06/07 07:59

_id	ecaade2018_193
id	ecaade2018_193
authors	Ostrowska-Wawryniuk, Karolina and Nazar, Krzysztof
year	2018
title	Generative BIM Automation Strategies for Prefabricated Multi-Family Housing Design
doi	https://doi.org/10.52842/conf.ecaade.2018.1.247
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. 247-256
summary	The increasing housing shortage in contemporary Poland calls for efficient ways of design and construction. In the context of time efficiency and shrinking manpower, prefabrication is considered as one of the means of introducing low and middle income housing to the market. The article presents the process of developing an experimental tool for aiding multi-family housing architectural design with the use of prefabrication. We use the potential of BIM technology as a flexible environment for comparing multiple design options and, therefore, supporting the decision-making process. The presented experiment is realized in the Autodesk Revit environment and incorporates custom generative scripts developed in Dynamo-for-Revit and Grasshopper. The prototype tool analyzes an input Revit model and simulates a prefabricated alternative based on the user-specified boundary conditions. We present our approach to the analyzing and the splitting of the input model as well as five different strategies of performing the simulation within the Revit environment.
keywords	Building Information Modeling; generative BIM; residential building design; prefabrication; design automation; Dynamo
series	eCAADe
email
last changed	2022/06/07 08:00

_id	caadria2018_198
id	caadria2018_198
authors	Reinhardt, Dagmar, Candido, Christhina, Cabrera, Densil, Wozniak-O'Connor, Dylan, Watt, Rodney, Bickerton, Chris, Titchkosky, Ninotschka and Houda, Maryam
year	2018
title	Onsite Robotic Fabrication for Flexible Workspaces - Towards Design and Robotic Fabrication of an Integrated Responsive Ceiling System for A Workspace Environment
doi	https://doi.org/10.52842/conf.caadria.2018.1.059
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. 59-68
summary	Open, flexible workspaces were introduced decades ago, but architectural design approaches to ceiling systems have not changed substantially. This paper discusses the development of strategies and prototypes for a lightweight, integrated ceiling structure that is robotically woven. Through geometrically complex, fibre-reinforced building elements that are produced onsite, a new distribution system for data and light can be provided and support individual and multi-group collaborations in an contemporary open-plan office for maximum flexibility. The paper introduces applied design research with case studies that test robotic weaving on an architectural ceiling. The second part contextualises the presented work by linking it to workspace scenarios and an on-site robotic process with a resulting data distribution that is designed to produce degrees of freedom for high flexibility in use, allowing occupants to organise the workspace layout autonomously so that workflow constellations in different teams can be adequately expressed through space. The paper concludes with a discussion of a framework for robotic methods developed for the carbon-fibre overhead weaving processes, followed by conclusions and outlook towards future potentials.
keywords	open collaborative workspace; robotic onsite weaving; carbon fiber; integrated ceiling systems
series	CAADRIA
email
last changed	2022/06/07 08:00

_id	ecaade2018_361
id	ecaade2018_361
authors	Schneider, Sven, Kuliga, Saskia, Weiser, René, Kammler, Olaf and Fuchkina, Ekaterina
year	2018
title	VREVAL - A BIM-based Framework for User-centered Evaluation of Complex Buildings in Virtual Environments
doi	https://doi.org/10.52842/conf.ecaade.2018.2.833
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. 833-842
summary	The design of buildings requires architects to anticipate how their future users will experience and behave in them. In order to do this objectively and systematically user studies in Virtual Environments (VEs) are a valuable method. In this paper, we present a framework for setting up, conducting and analysing user studies in VEs. The framework is integrated in the architectural design process by using BIM as a common modeling and visualisation platform. In order to define the user studies simple and flexible for the individual purposes we followed a modular concept. Modules thereby refer to different kinds of user study methods. Currently we developed three modules (Wayfinding, Spatial Experience and Qualitative Annotations), each having their individual requirements regarding their setup, interaction method and visualisation of results. In the course of a architectural design studio, students applied this framework to evaluate their building designs from a user perspective.
keywords	Pre-Occupancy Evaluation; Virtual Reality; User-centered Design; Building Information Modeling; Architectural Education
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
email
last changed	2022/06/07 07:57

_id	caadria2018_273
id	caadria2018_273
authors	Yuan, Philip F., Wang, Xiang and Wang, Xiang
year	2018
title	Cellular Cavity Structure and its Application on a Long-Span Form-Found Shell Design
doi	https://doi.org/10.52842/conf.caadria.2018.1.297
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. 297-306
summary	This paper shows a design and building application of a novel structure concept which is presented and developed by the author. The form-found pavilion demonstrates the validity of the design methodology and the related technical details of the design and fabrication process in an arbitrary design domain. The large pavilion (7m6m2.5m) with only 1mm paperboard also shows the great potentials of the thin sheet materials to be used in shell structure designs. The structural concept is based on the spatial tessellation of shell spaces into groups of cellular cavities. The cellular cavity is mainly composed of two curved membranes and the circumferential ribs. Both global and local membrane actions can be activated by the use of materials as thin as 1mm. Based on the structural analysis of the foregoing pavilion, the structural behavior is discussed in detail with a physical compressive test of the different group of cellular cavities. The assembly process of the pavilion is discussed with a prototype in full scale. As a successful efficient paper-shell structure, this pavilion demonstrates the structural concept and could inspire the potentials of thin materials for future shell designs.
keywords	Cellular Cavity Structure; Shell Structure; Thin Paperboard; Large Pavilion Design; Parametric Design Method
series	CAADRIA
email
last changed	2022/06/07 07:57

_id	caadria2018_082
id	caadria2018_082
authors	Zhu, Li and Yang, Yang
year	2018
title	Optimization Design Study of Lightweight Temporary Building Integrated with PCMS Through CFD Simulation
doi	https://doi.org/10.52842/conf.caadria.2018.2.155
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. 155-164
summary	In fact, the phase change materials (PCMs) integrated in the building envelope structure can decrease the buildings' energy consumption by enhancing thermal energy storage capacity, which has been acknowledged and appreciated by many engineers and architects. To achieve a better practical application effect under the minimum cost principle and provide a different design method based on indoor thermal discomfort evaluation results for stakeholders, this paper numerically test the application effect of composite envelope under Tianjin climate through commercial computational fluid dynamic soft (Fluent). Further, parameter sensitivity to thermal performance of the composite envelope and indoor thermal discomfort are investigated in this paper, and two different evaluation indicators are introduced and used here. The numerical results obtained in this paper support the high potential of using PCM in lightweight temporary buildings and highlight the further optimization design work.
keywords	Optimization design; Lightweight temporary building; PCMs; CFD simulation
series	CAADRIA
email
last changed	2022/06/07 07:57

_id	ecaade2018_227
id	ecaade2018_227
authors	Chatzitsakyris, Panagiotis
year	2018
title	EventMode - A new computational design tool for integrating human activity data within the architectural design workflow
doi	https://doi.org/10.52842/conf.ecaade.2018.1.649
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. 649-656
summary	Architectural designers are currently depending on a multitude of elaborate computational tools in order to explore, manipulate and visualize the geometric form of their building projects. However, if architecture can be perceived as the manipulation of geometric form in direct relation to human activities and events that take place inside it, then it is evident that such design parameters are not sufficiently represented in the currently available modeling software. Would it be possible to introduce the human activity element in the aforementioned computational tools in a way that informs the design process and improves the final building product? This paper attempts to answer this question by introducing a new experimental design tool that enables the creation of parametric human activity envelopes within three-dimensional digital models. The novel approach is that this tool enables the parametric interaction of these components with the actual building geometry and generates novel visual and data representations of the 3D model. The goal is to improve the decision-making process of architects as well as their clients by enabling them to evaluate and iterate their designs based not only on the building's form but also on the human spatial events that take place inside it. A prototype implementation demonstrates the tool's practical application through three design examples.
series	eCAADe
email
last changed	2022/06/07 07:55

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