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 611

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

_id	caadria2013_006
id	caadria2013_006
authors	Gerber, David J. and Shih-Hsin (Eve) Lin
year	2013
title	Geometric Complexity and Energy Simulation – Evolving Performance Driven Architectural Form
doi	https://doi.org/10.52842/conf.caadria.2013.087
source	Open Systems: Proceedings of the 18th International Conference on Computer-Aided Architectural Design Research in Asia (CAADRIA 2013) / Singapore 15-18 May 2013, pp. 87-96
summary	The research presents the custom development of a software tool and design process for integrating three design domains, their respective objectives, and geometric parameterizations. It then describes a set of experimental projects and analyses in the context of informing form and geometric complexity. Preliminary results of the multidisciplinary design optimization prototype, which, implements a genetic algorithm, are then presented. The findings include discussion of the value for architects for designing-in performance e.g. the bringing of the energy simulation and financial pro-forma upstream in the design process and of the value for trade off design decision making the system provides. The summary discussion includes the benefit of breeding architecturally complex geometries and the kinds of optimisations or search for improvements on designs that can be achieved.
wos	WOS:000351496100009
keywords	Parametric, Generative, Optimisation, Design decision support
series	CAADRIA
email
last changed	2022/06/07 07:51

_id	ecaade2013_114
id	ecaade2013_114
authors	Lin, Shih-Hsin Eve and Gerber, David
year	2013
title	Evolutionary Energy Performance Feedback for Design (EEPFD)
doi	https://doi.org/10.52842/conf.ecaade.2013.2.175
source	Stouffs, Rudi and Sariyildiz, Sevil (eds.), Computation and Performance – Proceedings of the 31st eCAADe Conference – Volume 2, Faculty of Architecture, Delft University of Technology, Delft, The Netherlands, 18-20 September 2013, pp. 175-184
summary	In order to understand the applicability of multidisciplinary design optimization (MDO) to the building design process, a MDO framework, titled Evolutionary Energy Performance Feedback for Design (EEPFD), along with the prototype tool, H.D.S. Beagle, were developed to support designers with the incorporation of partially automated performance feedback during the early stages of design. This paper presents 2 experimental case studies, one from the design profession and the other from a design studio, that evaluate the applicability and impact of EEPFD on the early stage design process. Through these two case studies two different interaction and automation approaches for applying EEPFD are explored as part of the framework validation. Observed benefits, challenges and suggestions of EEPFD’s implementation are then presented and discussed.
wos	WOS:000340643600017
keywords	Conceptual energy performance feedback; design decision support; performance-based design; multidisciplinary design optimization; genetic algorithm.
series	eCAADe
email
last changed	2022/06/07 07:59

_id	ecaade2013_180
id	ecaade2013_180
authors	Mueller, Volker and Strobbe, Tiemen
year	2013
title	Cloud-Based Design Analysis and Optimization Framework
doi	https://doi.org/10.52842/conf.ecaade.2013.2.185
source	Stouffs, Rudi and Sariyildiz, Sevil (eds.), Computation and Performance – Proceedings of the 31st eCAADe Conference – Volume 2, Faculty of Architecture, Delft University of Technology, Delft, The Netherlands, 18-20 September 2013, pp. 185-194
summary	Integration of analysis into early design phases in support of improved building performance has become increasingly important. It is considered a required response to demands on contemporary building design to meet environmental concerns. The goal is to assist designers in their decision making throughout the design of a building but with growing focus on the earlier phases in design during which design changes consume less effort than similar changes would in later design phases or during construction and occupation.Multi-disciplinary optimization has the potential of providing design teams with information about the potential trade-offs between various goals, some of which may be in conflict with each other. A commonly used class of optimization algorithms is the class of genetic algorithms which mimic the evolutionary process. For effective parallelization of the cascading processes occurring in the application of genetic algorithms in multi-disciplinary optimization we propose a cloud implementation and describe its architecture designed to handle the cascading tasks as efficiently as possible.
wos	WOS:000340643600018
keywords	Cloud computing; design analysis; optimization; generative design; building performance.
series	eCAADe
email
last changed	2022/06/07 07:58

_id	cf2013_286
id	cf2013_286
authors	Pang, Lei; Xiaodong Song, and Chengyu Sun
year	2013
title	Computer Aided Simulation for Compact Residential Regulatory Plan
source	Global Design and Local Materialization[Proceedings of the 15th International Conference on Computer Aided Architectural Design Futures / ISBN 978-3-642-38973-3] Shanghai, China, July 3-5, 2013, pp. 286-294.
summary	Residential land development requires compact and intelligent growth in order to conserve land, especially in countries such as China with a large population but little usable land for built environment. This should not be done at the expense of public green space. Living density is an important issue that cannot be avoided in the urbanization process. This research uses Spatial Form Compact as the goal of trying to support the residential regulatory plan. A prototype site has been chosen to optimize the layout. Suppose the type of residential building had been decided and FAR is given as a premise. This method allows the arrangement of residential buildings to be compact and leads to more available space for concentrated green area, for example parks or other facilities. The BL-based method of genetic algorithm and VB program is used for the optimization and calculation of the prototype. The arrangement of residential buildings which is done by computer in this period is only used to explore the relationship between FAR and reasonable building layout. In order to guide the real construction of the building, the site plan should be done further elaborately under the guidance of regulatory plan by the developer and urban planner.
keywords	Compact, Residential area, FAR, Concentrated Green Space
series	CAAD Futures
email
last changed	2014/03/24 07:08

_id	ecaade2013r_013
id	ecaade2013r_013
authors	Verma, Sushant; Devadass, Pradeep
year	2013
title	Adaptive [skins]: Responsive building skin systems based on tensegrity principles
source	FUTURE TRADITIONS [1st eCAADe Regional International Workshop Proceedings / ISBN 978-989-8527-03-5], University of Porto, Faculty of Architecture (Portugal), 4-5 April 2013, pp. 155-170
summary	The project investigates responsive building skin systems that adapt to the dynamic environmental conditions to regulate the internal conditions in a habitable space over different periods of time by exhibiting a state of motion and dynamism. Heat and Light are the primary parameters for regulation, leading to energy efficiency and dynamic spatial effects. Passive and active skins using shape memory alloys and pneumatic actuators are developed through investigations of smart systems that integrate smart materials and smart geometries. The precedents in this domain have rarely dealt with individually controlled multiple parameters of heat and light in a single system, which is attempted in this project. Owing to the complexity of the multi-parametric system, genetic algorithms are developed for system optimization and calibrated with physical prototypes at varied scales. The developed systems are tested against two distinct climatic models- New Delhi and Barcelona, and evaluated for performance, based on heat and light, which are quantified as solar gain and illuminance as principles, and daylight factor for evaluation purpose. The use of genetic algorithms makes the problem solving faster and accurate. New tool-sets are developed in the process by combining various digital tools, to create a real-time feedback and memory loop system.
keywords	Adaptive architecture, Building skins, Genetic algorithms, Tensegrity, Smart materials
email
last changed	2013/10/07 19:08

_id	acadia13_227
id	acadia13_227
authors	von Buelow, Peter
year	2013
title	Techniques for More Productive Genetic Design: Exploration With GAs Using Non-Destructive Dynamic Populations
doi	https://doi.org/10.52842/conf.acadia.2013.227
source	ACADIA 13: Adaptive Architecture [Proceedings of the 33rd Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-1-926724-22-5] Cambridge 24-26 October, 2013), pp. 227-234
summary	The products of generative design are ever more commonly explored and refined through evolutionary search techniques. Genetic algorithms (GAs) belong to this class of stochastic procedures, and are particularly well-suited to the way designers investigate a problem. GAs search by mixing and matching different parts of a solution, represented as parametric variables, to find new solutions that outperform their predecessors. Generally the method proceeds through generations of populations in which the better solutions out-survive their less desirable siblings. Inherent to this approach, however, is the fact that all but the select solutions perish. This paper discusses a non-destructive GA that uses dynamic populations drawn from a bottomless pool of solutions to find the most productive breeding pairs. In a typical GA the survival or destruction of a solution depends on a well-defined fitness function. By not enforcing the destruction of less fit individuals, the possibility is held open to modify the fitness function at any time, and allow different parts of the solution space to be explored. This ability is ideal for more complex multi-objective problems that are not easily described by a single fitness function. Generally, design presents just such a problem.
keywords	tools and interfaces, design exploration, genetic algorithm, multi-objective optimization
series	ACADIA
type	Normal Paper
email
last changed	2022/06/07 07:58

_id	caadria2013_198
id	caadria2013_198
authors	Chee Zong Jie and Patrick Janssen
year	2013
title	Exploration of Urban Street Patterns – Multi-Criteria Evolutionary Optimisation Using Axial Line Analysis
doi	https://doi.org/10.52842/conf.caadria.2013.695
source	Open Systems: Proceedings of the 18th International Conference on Computer-Aided Architectural Design Research in Asia (CAADRIA 2013) / Singapore 15-18 May 2013, pp. 695-704
summary	In urban design, researchers have developed techniques to automate both the generation and evaluation of urban street patterns. In most cases, these approaches are investigated in isolation from one another. Recently, a number of researchers have attempted to couple these approaches, in order to enable larger numbers of street patterns to be generated and evaluated in an iterative loop. However, to date, the possibility of fully automating the generative-evaluative loop using optimisation algorithms has not been explored. This research proposes an explorative design method in which urban street patterns can be optimised for multiple conflicting performance criteria. The optimisation process uses evolutionary algorithms to evolve populations of design variants by iteratively applying three key procedures: development, evaluation, and feedback. For development, a generative technique is proposed for constructing street patterns. For evaluation, various performance measures are used, including in particular Space Syntax based Axial Line analysis. For feedback, a Pareto-ranking algorithm is used that ranks street patterns according to multiple criteria. The proposed method is demonstrated using an abstract scenario in which orthogonal street patterns are evolved for a small urban area.
wos	WOS:000351496100068
keywords	Axial line analysis, Generative modelling, Evolutionary algorithms, Decision chain encoding, Urban street patterns
series	CAADRIA
email
last changed	2022/06/07 07:55

_id	caadria2013_098
id	caadria2013_098
authors	Park, Jong Jin and Bharat Dave
year	2013
title	Bio-Inspired Adaptive Stadium Façades – An Evolution-Based Design Exploration
doi	https://doi.org/10.52842/conf.caadria.2013.107
source	Open Systems: Proceedings of the 18th International Conference on Computer-Aided Architectural Design Research in Asia (CAADRIA 2013) / Singapore 15-18 May 2013, pp. 107-116
summary	Our research focuses on bio-inspired evolutionary design based on genetic algorithms to explore façade surfacesthat improve adaptivity and solar performance of stadium design during the early stages of design development. This paper describes prototype implementation of an automated computer design system, its architecture, and initial results. Our approach highlights importance of early exploration of architectural geometries by rapidly narrowing down optimised design solutions within an infinite search space of possible design solutions. Additionally, the prototype supports automatic generation of design variations and demonstrates potential use of genetic algorithms as a means to constrained design exploration.
wos	WOS:000351496100011
keywords	Adaptive façades, Evolutionary design, Genetic algorithm, Performance simulations
series	CAADRIA
email
last changed	2022/06/07 08:00

_id	caadria2013_001
id	caadria2013_001
authors	Doelling, Max C. and Ben Jastram
year	2013
title	Daylight Prototypes: From Simulation Data to Four-Dimensional Artefact-Physical Metrics Models in Sustainable Design Education
doi	https://doi.org/10.52842/conf.caadria.2013.159
source	Open Systems: Proceedings of the 18th International Conference on Computer-Aided Architectural Design Research in Asia (CAADRIA 2013) / Singapore 15-18 May 2013, pp. 159-168
summary	The increasing use of building performance simulation in architectural design enriches digital models and derived prototyping geometries with performance data that makes them analytically powerful artefacts serving sustainable design. In our class “Parametric Design”, students perform concurrent thermal and daylight optimization during the architectural ideation process, employing digital simulation tools, and also utilize rapid prototyping techniques to produce process artefacts and whole-building analysis models with climate-based day-light metrics physically embedded. Simulation metrics are merged with prototyping geometries to be output on a colour-capable Zprinter; the resultant hybrid artefacts simultaneously allow three-dimensional formal as well as whole-year daylight performance evaluation, rendering analysis scope four-dimensional. They embody a specific epistemological type that we compare to other model instances and posit to be an example of multivalent representation, a formal class that aids knowledge accretion in workflows and allows designers to gain a physically reframed understanding of geometry-performance relationships.
wos	WOS:000351496100016
keywords	Rapid prototyping, Building performance modelling, Daylight simulation, Physical data models, Design representation
series	CAADRIA
email
last changed	2022/06/07 07:55

_id	ecaade2013_298
id	ecaade2013_298
authors	Gadelhak, Mahmoud
year	2013
title	Integrating Computational and Building Performance Simulation Techniques for Optimized Facade Designs
doi	https://doi.org/10.52842/conf.ecaade.2013.2.261
source	Stouffs, Rudi and Sariyildiz, Sevil (eds.), Computation and Performance – Proceedings of the 31st eCAADe Conference – Volume 2, Faculty of Architecture, Delft University of Technology, Delft, The Netherlands, 18-20 September 2013, pp. 261-269
summary	This paper investigates the integration of Building Performance Simulation (BPS) and optimization tools to provide high performance solutions. An office room in Cairo, Egypt was chosen as a base testing case, where a Genetic Algorithm (GA) was used for optimizing the annual daylighting performance of two parametrically modeled daylighting systems. In the first case, a combination of a redirecting system (light shelf) and shading system (solar screen) was studied. While in the second, a free-form “gills surface” was also optimized to provide acceptable daylighting performance. Results highlight the promising future of using computational techniques along with simulation tools, and provide a methodology for integrating optimization and performance simulation techniques at early design stages.
wos	WOS:000340643600026
keywords	High performance facade; daylighting simulation; optimization; form finding; genetic algorithm.
series	eCAADe
email
last changed	2022/06/07 07:50

_id	ecaade2013_129
id	ecaade2013_129
authors	Janusz, Jan
year	2013
title	Learning from Parametric Manipulation of Architectural Volume
doi	https://doi.org/10.52842/conf.ecaade.2013.1.091
source	Stouffs, Rudi and Sariyildiz, Sevil (eds.), Computation and Performance – Proceedings of the 31st eCAADe Conference – Volume 1, Faculty of Architecture, Delft University of Technology, Delft, The Netherlands, 18-20 September 2013, pp. 91-100
summary	This study is concerned with the building thermal performance education in the context of computer application. The project contains the original script coded in Maxscript for use in Autodesk 3ds Max. The tool workflow and functionality focus on the thermal calculations connected with sculpturing manipulation of architectural volume in pre-conception project stages, when detailed project solutions are undefined. The algorithm is based on the manual methods included in the curriculum. The paper also presents a study of software analyzing thermal performance as a justification for the script vision and educational implementation. The script is rather an addition than alternative for existing software, so it does not assume any resignation from more sophisticated products.
wos	WOS:000340635300008
keywords	Parametric design; thermal optimization; sustainable design education; Maxscript; energy estimation.
series	eCAADe
email
last changed	2022/06/07 07:52

_id	acadia13_079
id	acadia13_079
authors	Jason Gerber, David; Eve Lin, Shih-Hsin; Amber Ma, Xinyue
year	2013
title	Designing-In Performance: A Case Study of Applying Evolutionary Energy-Performance Feedback for Design (EEPFD)
doi	https://doi.org/10.52842/conf.acadia.2013.079
source	ACADIA 13: Adaptive Architecture [Proceedings of the 33rd Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-1-926724-22-5] Cambridge 24-26 October, 2013), pp. 79-86
summary	This paper explores the application of a novel Multi-disciplinary Design Optimization (MDO) framework to the early stage design process, through a case study where the designer serves as the primary user and driver. MDO methods have drawn attention from the building design industry as a potential means of overcoming obstacles between design and building performance feedback to support design decision-making. However, precedents exploring MDOs in application to the building design have previously been limited to driving use by engineers or research teams,thereby leaving the incorporation of MDO into a design process by designers largely unexplored. In order to investigate whether MDO can enable the ability to design in a performance environment during the conceptual design stage, a MDO design framework entitled Evolutionary Energy-Performance Feedback for Design (EEPFD) was developed. This paper explores the designer as the primary user by conducting a case study where the application of EEPFD to a single family residential housing unit is incorporated. Through this case study EEPFD demonstrates an ability to assist the designer in identifying higher performing design options while meeting the designer’s aesthetic preferences. In addition the benefits, limitations, concerns and lessons learned in the application of EEPFD are also discussed.
keywords	conceptual energy-performance feedback; design decision support; parametric design; multi-disciplinary design optimization; genetic algorithm
series	ACADIA
type	Normal Paper
email
last changed	2022/06/07 07:52

_id	caadria2013_186
id	caadria2013_186
authors	Kaushik, Vignesh and Patrick Janssen
year	2013
title	An Evolutionary Design Process – Adaptive-Iterative Explorations in Computational Embryogenesis
doi	https://doi.org/10.52842/conf.caadria.2013.137
source	Open Systems: Proceedings of the 18th International Conference on Computer-Aided Architectural Design Research in Asia (CAADRIA 2013) / Singapore 15-18 May 2013, pp. 137-146
summary	Computational embryogenies are a special kind of genotype to phenotype mapping process widely used inexplorative evolutionary systems as they provide the mechanism for generating more complex solutions. This paper focuses on how designers explore embryogenies for specific design scenariosthrough an adaptive-iterative process.The process is demonstratedfor a complex project to generate a prototypical urban farm in Singapore. It is shown that by employing an adaptive-iterative process, the embryogeny can be made progressively more complex and less abstract, thereby allowing the exploration to be guided by the designer.
wos	WOS:000351496100014
keywords	Computational embryogeny, Evolutionary, Multi-criteria optimization, Encoding, Decoding
series	CAADRIA
email
last changed	2022/06/07 07:52

_id	ecaade2013_197
id	ecaade2013_197
authors	Koenig, Reinhard; Treyer, Lukas and Schmitt, Gerhard
year	2013
title	Graphical Smalltalk with My Optimization System for Urban Planning Tasks
doi	https://doi.org/10.52842/conf.ecaade.2013.2.195
source	Stouffs, Rudi and Sariyildiz, Sevil (eds.), Computation and Performance – Proceedings of the 31st eCAADe Conference – Volume 2, Faculty of Architecture, Delft University of Technology, Delft, The Netherlands, 18-20 September 2013, pp. 195-203
summary	Based on the description of a conceptual framework for the representation of planning problems on various scales, we introduce an evolutionary design optimization system. This system is exemplified by means of the generation of street networks with locally defined properties for centrality. We show three different scenarios for planning requirements and evaluate the resulting structures with respect to the requirements of our framework. Finally the potentials and challenges of the presented approach are discussed in detail.
wos	WOS:000340643600019
keywords	Design optimization; interactive planning support system; generative system integration; evolutionary multi-criteria optimization.
series	eCAADe
email
last changed	2022/06/07 07:51

_id	caadria2013_173
id	caadria2013_173
authors	Mueller, Volker; Drury B. Crawley and Xun Zhou
year	2013
title	Prototype Implementation of a Loosely Coupled Design Performance Optimisation Framework
doi	https://doi.org/10.52842/conf.caadria.2013.675
source	Open Systems: Proceedings of the 18th International Conference on Computer-Aided Architectural Design Research in Asia (CAADRIA 2013) / Singapore 15-18 May 2013, pp. 675-684
summary	Integration of analyses into early design phases poses several challenges. An experimental implementation of an analysis framework in conjunction with an optimization framework ties authoring and analysis tools together under one umbrella. As a prototype it served intensive use-testing in the context of the SmartGeometry 2012 workshop in Troy, NY. In this prototype the data flow uses a mix of proprietary and publicised file formats, exchanged through publicly accessible interfaces. The analysis framework brokers between the parametric authoring tool and the analysis tools. The optimization framework controls the processes between the authoring tool and parametric engine on one side and the optimization algorithm on the other. In addition to some user-implemented analyses inside the parametric design model the prototype makes energy analysis and structural analysis available. The prototype allows testing assumptions about work flow, implementation, usability and general feasibility of the pursued approach.
wos	WOS:000351496100066
keywords	Design-analysis integration, Design refinement, Optimization
series	CAADRIA
email
last changed	2022/06/07 07:58

_id	ecaade2013_023
id	ecaade2013_023
authors	Biloria, Nimish and Chang, Jia-Rey
year	2013
title	Hyper-Morphology
doi	https://doi.org/10.52842/conf.ecaade.2013.1.529
source	Stouffs, Rudi and Sariyildiz, Sevil (eds.), Computation and Performance – Proceedings of the 31st eCAADe Conference – Volume 1, Faculty of Architecture, Delft University of Technology, Delft, The Netherlands, 18-20 September 2013, pp. 529-537
summary	Hyper-Morphology is an on-going research outlining a bottom-up evolutionary design process based on autonomous cellular building components. The research interfaces critical operational traits of the natural world (Evolutionary Development Biology, Embryology and Cellular Differentiation) with Evolutionary Computational techniques driven design methodologies. In the Hyper-Morphology research, genetic sequences are considered as sets of locally coded relational associations between multiple factors such as the amount of components, material based constraints, and geometric adaptation/degrees of freedom based adaptation abilities etc, which are embedded autonomously within each HyperCell component. Collective intelligence driven decision-making processes are intrinsic to the Hyper-Morphology logic for intelligently operating with autonomous componential systems (akin to swarm systems). This subsequently results in user and activity centric global morphology generation in real-time. Practically, the Hyper-Morphology research focuses on a 24/7 economy loop wherein real-time adaptive spatial usage interfaces with contemporary culture of flexible living within spatial constraints in a rapidly urbanizing world.
wos	WOS:000340635300055
keywords	Evo-devo; cellular differentiation; self-organization; evolutionary computation; adaptive architecture.
series	eCAADe
email
last changed	2022/06/07 07:54

_id	sigradi2013_393
id	sigradi2013_393
authors	Cavieres, Andres; Joseph Goodman
year	2013
title	The Role of Functional Knowledge in Multidisciplinary Design: The Case of Solar Energy Integration in Buildings
source	SIGraDi 2013 [Proceedings of the 17th Conference of the Iberoamerican Society of Digital Graphics - ISBN: 978-956-7051-86-1] Chile - Valparaíso 20 - 22 November 2013, pp. 333 - 337
summary	The paper presents a model-based methodology to support multidisciplinary collaboration for the application of photovoltaic systems to buildings. It focuses on the representation of domain specific knowledge necessary for the design of novel PV racking and mounting structures, based on principles of multi-functionality and functional integration. The proposed representation is based on a language for modeling functional requirements in terms of causal behaviors. These behavioral models provide common ground not only for multidisciplinary design, but also for the elaboration of performance metrics and verification procedures for evaluation of design alternatives. The paper concludes with a discussion on the potential of Model-based approach to support innovation in Design.
keywords	Knowledge representation; Functional requirement; Model-based systems Integration; Multidisciplinary design; Solar energy
series	SIGRADI
email
last changed	2016/03/10 09:48

_id	caadria2013_256
id	caadria2013_256
authors	De Oliveira Barata, Eduardo; Dirk Anderson and Dagmar Reinhardt
year	2013
title	A Minimal Tension Canopy – Through Investigations of Self-Organised Systems
doi	https://doi.org/10.52842/conf.caadria.2013.147
source	Open Systems: Proceedings of the 18th International Conference on Computer-Aided Architectural Design Research in Asia (CAADRIA 2013) / Singapore 15-18 May 2013, pp. 147-156
summary	The dynamics of a physics-based algorithm which acquires its complex organization through a number of localised interactions applied over a prescribed network can be described as a self-organised system. This in turn has the capacity to define explicit form and space based upon behavioural computational processes with an embedded structural logic. This paper discusses the way in which physics based algorithms can be used to inform the organisation of a compressional structure in a case study. Its structure is based on Hooke’s law of elasticity; which establishes a three dimensional catenary logic through a number of localised interactions applied over an entire network. This is applied to a project with specific constraints to site, boundary conditions and maximising solar gain whilst maintaining structural rigidity. The methodological approach describes the design to assembly process in which the project has been developed. This includes the applied generative design tools in order to establish the self-organised logic, the form finding process, the techniques of design documentation, the fabrication process and the logistics of construction and assembly.
wos	WOS:000351496100015
keywords	Digital fabrication and construction, Generative, Parametric, Simulation
series	CAADRIA
email
last changed	2022/06/07 07:55

_id	ecaade2013_192
id	ecaade2013_192
authors	Erdine, Elif
year	2013
title	Biomimetic Strategies in Tower Design
doi	https://doi.org/10.52842/conf.ecaade.2013.1.559
source	Stouffs, Rudi and Sariyildiz, Sevil (eds.), Computation and Performance – Proceedings of the 31st eCAADe Conference – Volume 1, Faculty of Architecture, Delft University of Technology, Delft, The Netherlands, 18-20 September 2013, pp. 559-568
summary	The paper argues that the tower needs to respond to its environment by changing from a closed building typology towards a heterogeneous, differentiated open system that can adapt to the changing conditions within and around it. This argument is supported by focusing on the analogies and principles of specific biological examples in order to propose computationally-generated self-organizing systems. The goal of analyzing these models is to integrate their structural and geometrical characteristics with the aim of overcoming high lateral loading conditions in towers, as well as elaborating on the existence of multi-functionality and integration throughout the subsystems of the tower. A series of computational models which abstract the biological properties and articulate them with a generative approach through the use of agent-based systems are implemented according to designated evaluation criteria.
wos	WOS:000340635300058
keywords	Tower; biomimetics; integration; differentiation; generative algorithms.
series	eCAADe
email
last changed	2022/06/07 07:55

_id	ecaade2013_167
id	ecaade2013_167
authors	Gokmen, Sabri
year	2013
title	A Morphogenetic Approach for Performative Building Envelope Systems Using Leaf Venetian Patterns
doi	https://doi.org/10.52842/conf.ecaade.2013.1.497
source	Stouffs, Rudi and Sariyildiz, Sevil (eds.), Computation and Performance – Proceedings of the 31st eCAADe Conference – Volume 1, Faculty of Architecture, Delft University of Technology, Delft, The Netherlands, 18-20 September 2013, pp. 497-506
summary	Recent developments in theory and technology in performance based design show an interest towards generative systems. In this paper a morphogenetic approach will be introduced that looks at Goethean morphology and leaf venation patterns. To instrumentalize this approach an algorithm will be introduced to generate various leaf venation patterns on complex mesh surfaces. As a case study, the paper tests the applicability of such system as performative algorithms for building envelopes. The role of simulation is to generate self-organizing forms and provide a framework for design development. The overall approach is to consider performance as a direct input to guide the computation of form at an early design stage.
wos	WOS:000340635300052
keywords	Performative façades; growth; morphology; goethe; simulation.
series	eCAADe
email
last changed	2022/06/07 07:51

For more results click below: