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	caadria2020_273
id	caadria2020_273
authors	Shuyan, Zhu and Chenlong, Ma
year	2020
title	An Informed Method - Visualization for Multi-objective Optimization in Conceptual Design Phase
source	D. Holzer, W. Nakapan, A. Globa, I. Koh (eds.), RE: Anthropocene, Design in the Age of Humans - Proceedings of the 25th CAADRIA Conference - Volume 1, Chulalongkorn University, Bangkok, Thailand, 5-6 August 2020, pp. 425-434
doi	https://doi.org/10.52842/conf.caadria.2020.1.425
summary	The relationship of different performance objects may be very complicated that designers can't guarantee the improvement of one object don't affect the others. Multi-objective optimization algorithms provide Pareto optimal design solutions, but because of the nonlinearity introduced by the objective functions, the relationships in the objective space do not extend to the decision variable space and vice versa. Based on the design of building blocks and west facade in a practical project, the paper put forward a visualized method for optimization process of building performance, and combine the multi-objective optimization algorithm with the visualization of fitness landscape, so that architects can easily obtain the knowledge of complex relationships between building performance and building parameters. It is more conducive to obtain a design scheme which can balance the requirements of appearance and performance at the same time, and achieve the ultimate goal of improving the efficiency of design.
keywords	Visualization; Multi-objective optimization; Fitness landscape
series	CAADRIA
email
last changed	2022/06/07 07:56

_id	ascaad2022_102
id	ascaad2022_102
authors	Turki, Laila; Ben Saci, Abdelkader
year	2022
title	Generative Design for a Sustainable Urban Morphology
source	Hybrid Spaces of the Metaverse - Architecture in the Age of the Metaverse: Opportunities and Potentials [10th ASCAAD Conference Proceedings] Debbieh (Lebanon) [Virtual Conference] 12-13 October 2022, pp. 434-449
summary	The present work concerns the applications of generative design for sustainable urban fabric. This represents an iterative process that involves an algorithm for the generation of solar envelopes to satisfy solar and density constraints. We propose in this paper to explore a meta-universe of human-machine interaction. It aims to design urban forms that offer solar access. This being to minimize heating energy expenditure and provide solar well-being. We propose to study the impact of the solar strategy of building morphosis on energy exposure. It consists of determining the layout and shape of the constructions based on the shading cut-off time. This is a period of desirable solar access. We propose to define it as a balance between the solar irradiation received in winter and that received in summer. We rely on the concept of the solar envelope defined since the 1970s by Knowles and its many derivatives (Koubaa Turki & al., 2020). We propose a parametric model to generate solar envelopes at the scale of an urban block. The generative design makes it possible to create a digital model of the different density solutions by varying the solar access duration. The virtual environment created allows exploring urban morphologies resilient both to urban densification and better use of the context’s resources. The seasonal energy balance, between overexposure in summer and access to the sun in winter, allows reaching high energy and environmental efficiency of the buildings. We have developed an algorithm on Dynamo for the generation of the solar envelope by shading exchange. The program makes it possible to detect the boundaries of the parcels imported from Revit, establish the layout of the building, and generate the solar envelopes for each variation of the shading cut-off time. It also calculates the FAR1 and the FSI2 from the variation of the shading cut-off time for each parcel of the island. We compare the solutions generated according to the urban density coefficients and the solar access duration. Once the optimal solution has been determined, we export the results back into Revit environment to complete the BIM modelling for solar study. This article proposes a method for designing buildings and neighbourhoods in a virtual environment. The latter acts upstream of the design process and can be extended to the different phases of the building life cycle: detailed design, construction, and use.
series	ASCAAD
email
last changed	2024/02/16 13:38

_id	ecaade2021_257
id	ecaade2021_257
authors	Cichocka, Judyta Maria, Loj, Szymon and Wloczyk, Marta Magdalena
year	2021
title	A Method for Generating Regular Grid Configurations on Free-From Surfaces for Structurally Sound Geodesic Gridshells
source	Stojakovic, V and Tepavcevic, B (eds.), Towards a new, configurable architecture - Proceedings of the 39th eCAADe Conference - Volume 2, University of Novi Sad, Novi Sad, Serbia, 8-10 September 2021, pp. 493-502
doi	https://doi.org/10.52842/conf.ecaade.2021.2.493
summary	Gridshells are highly efficient, lightweight structures which can span long distances with minimal use of material (Vassallo & Malek 2017). One of the most promising and novel categories of gridshells are bending-active (elastic) systems (Lienhard & Gengnagel 2018), which are composed of flexible members (Kuijenhoven & Hoogenboom 2012). Timber elastic gridshells can be site-sprung or sequentially erected (geodesic). While a lot of research focus is on the site-sprung ones, the methods for design of sequentially-erected geodesic gridshells remained underdeveloped (Cichocka 2020). The main objective of the paper is to introduce a method of generating regular geodesic grid patterns on free-form surfaces and to examine its applicability to design structurally feasible geodesic gridshells. We adopted differential geometry methods of generating regular bidirectional geodesic grids on free-form surfaces. Then, we compared the structural performance of the regular and the irregular grids of the same density on three free-form surfaces. The proposed method successfully produces the regular geodesic grid patterns on the free-form surfaces with varying curvature-richness. Our analysis shows that gridshells with regular grid configurations perform structurally better than those with irregular patterns. We conclude that the presented method can be readily used and can expand possibilities of application of geodesic gridshells.
keywords	elastic timber gridshell; bending-active structure; grid configuration optimization; computational differential geometry; material-based design methodology; free-form surface; pattern; geodesic
series	eCAADe
email
last changed	2022/06/07 07:56

_id	cdrf2021_13
id	cdrf2021_13
authors	Hao Wen, Pengcheng Gu, Yuchao Zhang, Shuai Zou, and Patrik Schumacher
year	2021
title	A Generative Approach to Social Ecologies in Project [Symbios]City
source	Proceedings of the 2021 DigitalFUTURES The 3rd International Conference on Computational Design and Robotic Fabrication (CDRF 2021)
doi	https://doi.org/https://doi.org/10.1007/978-981-16-5983-6_2
summary	The following paper talks about the studio project [Symbios]City, which is developed as a design research project in 2020–2021 Schumacher’ studio on social ecology of the graduate program in Architectural Association’s design research lab. The project aims to create an assemblage of social ecologies through a rich but cohesive multi-authored urban district. The primary ambition is to generate an urban area with a characterful, varied identity, that achieves a balanced order between unity and difference avoiding both the sterile and disorienting monotony of centrally planned modernist cities and the (equally disorienting) visual chaos of an agglomeration of utterly unrelated interventions as we find now frequently. Through a thorough research process, our project evolves mainly out of three principles that are taken into consideration for the development of our project: topological optimization, phenomenology, and ecology. By “ecology”, we understand it as a living network of information exchange. Therefore, every strategy we employ is not merely about reacting to the weather conditions, but instead it is an inquiry into the various ways we can exploit the latter, a translation of the weather conditions into spatial and programmatic properties. [Symbios]City therefore aims at developing a multi-authored urban area with a rich identity that achieves a balance between the various elements. [Symbios]City began formally from topological optimization, developed based on studies on ecology, and concluded the design following our phenomenological explorations, aiming at a complex design project that unifies the perception of all scales of design: from the platform to the skyscrapers.
series	cdrf
email
last changed	2022/09/29 07:53

_id	cdrf2019_217
id	cdrf2019_217
authors	Jinghua Song and Sirui Sun
year	2020
title	Research on Architectural Form Optimization Method Based on Environmental Performance-Driven Design
source	Proceedings of the 2020 DigitalFUTURES The 2nd International Conference on Computational Design and Robotic Fabrication (CDRF 2020)
doi	https://doi.org/https://doi.org/10.1007/978-981-33-4400-6_21
summary	In the context of contemporary environment and society, the architectural form optimization based on Environmental performance-driven design is a method by using environmental performance data to optimize the architectural form. Its value lies in dealing with the interaction between architecture and environment, and developing architecture with environmental sustainability. This thesis summarizes the similarities and differences between performance-driven form design and traditional bionic form design. The traditional bionic design separates the bionic object from its complex living environment, and its simple imitation tends to fall into the local rather than the global optimum. However, performancedriven design is different from bionic design. It advocates environmental factors as a driving factor rather than a confrontational factor. It is a systematic global optimal method for studying architectural form. This paper puts forward the specific architectural form optimization simulation process based on the performance-driven thought. Taking the multilayer parking building design of the riparian zone on the south bank of Chongqing as an example, the parametric design method is used to obtain architectural optimization form adapted to the environment.
series	cdrf
email
last changed	2022/09/29 07:51

_id	cdrf2019_229
id	cdrf2019_229
authors	Jingyi Li and Hong Chen
year	2020
title	Optimization and Prediction of Design Variables Driven by Building Energy Performance—A Case Study of Office Building in Wuhan
source	Proceedings of the 2020 DigitalFUTURES The 2nd International Conference on Computational Design and Robotic Fabrication (CDRF 2020)
doi	https://doi.org/https://doi.org/10.1007/978-981-33-4400-6_22
summary	This research focuses on the energy performance of office building in Wuhan. The research explored and predicted the optimal solution of design variables by Multi-Island Genetic Algorithm (MIGA) and RBF Artificial neural networks (RBF-ANNs). Research analyzed the cluster centers of design variable by K-means cluster method. In the study, the RBF-ANNs model was established by 1,000 simulation cases. The RMSE (root mean square error) of the RBF-ANNs model in different energy aspects does not exceed 15%. Comparing to the reference case (the largest energy consumption case in the optimization), the 214 elite cases in RBF-ANNs model save at least 37.5% energy. By the cluster centers of the design variables in the elite cases, the study summarized the benchmark of 14 design variables and also suggested a building energy guidance for Wuhan office building design.
series	cdrf
email
last changed	2022/09/29 07:51

_id	caadria2020_023
id	caadria2020_023
authors	Liu, Chenjun
year	2020
title	Double Loops Parametric Design of Surface Steel Structure Based on Performance and Fabrication
source	D. Holzer, W. Nakapan, A. Globa, I. Koh (eds.), RE: Anthropocene, Design in the Age of Humans - Proceedings of the 25th CAADRIA Conference - Volume 1, Chulalongkorn University, Bangkok, Thailand, 5-6 August 2020, pp. 23-33
doi	https://doi.org/10.52842/conf.caadria.2020.1.023
summary	In intelligent epoch, automatic parameter design systems reduce the requirements of the skills needed to create objects. The creator only needs to select the most perceptual primitive form to automatically generate the data system that iterates to the most efficient solution. In this paper, a method of combining performance driven optimization with parametric design is proposed. The iterative evolution is under the control of performance loop and fabrication loop, which makes all the data provided by parametric design in a practical project available for exploring structural analysis and digital prefabrication. Related to the case of surface steel structure, parametric optimization is not limited to a set of shape types or design problems, it would be based on the generality and built-in characteristics of parametric modelling environment in the most convenient and flexible way. (Rolvink et al. 2010)And the given parameters would be fed back on geometric structure, performance indicators, and design variables, so that designers can easily and effectively coordinate and try different solutions. The system transforms the generated data into machine language so that the process including design, analysis, manufacturing, and construction can maintain the orthogonal persistence of the data.
keywords	parametric design; component prefabrication; curved steel structure; performance driven
series	CAADRIA
email
last changed	2022/06/07 07:59

_id	sigradi2020_188
id	sigradi2020_188
authors	Matos, Elisa Bomtempo; Martinez, Andressa Carmo Pena
year	2020
title	Gridshell structural evaluation criteria based on Upward and Downward Modeling Methods in Karamba3D
source	SIGraDi 2020 [Proceedings of the 24th Conference of the Iberoamerican Society of Digital Graphics - ISSN: 2318-6968] Online Conference 18 - 20 November 2020, pp. 188-195
summary	Despite the vast number of researches that address Gridshells as regular meshes, there is a lack of studies discussing hybrid meshes. In this context, this paper presents a parametric approach and employs visual algorithms for designing digital gridshells with different mesh patterns. We intend to formulate a methodology for Karamba 3D applications that address the structural performance according to variations in geometric composition, number of props, and construction methods. The work seeks to examine patterns that improve structural performance, through a parallel discussion between Upward and Downward modeling methods. Although the Upward modeling method is the most recurrent in studies on the topic, in this study, the Downward method generated structures with better structural performance.
keywords	Gridshell, Pattern, Geometric Modeling, Structural Design, Structural Optimization
series	SIGraDi
email
last changed	2021/07/16 11:48

_id	caadria2020_337
id	caadria2020_337
authors	Rubinowicz, Pawel
year	2020
title	Sustainable development of a cityscape using the Visual Protection Surface method - optimization of parameters for urban planning
source	D. Holzer, W. Nakapan, A. Globa, I. Koh (eds.), RE: Anthropocene, Design in the Age of Humans - Proceedings of the 25th CAADRIA Conference - Volume 1, Chulalongkorn University, Bangkok, Thailand, 5-6 August 2020, pp. 863-872
doi	https://doi.org/10.52842/conf.caadria.2020.1.863
summary	The article discusses computer techniques used to analyse a cityscape based on 3D models. The study focuses on the application of the Visual Protection Surface (VPS) method which enables to analyse the absorption capacity of a city as regards new investment while bearing in mind the goal of preserving a set of strategic views. The outcome of the process is a surface or a map which determines the maximum height of buildings. The goal of the study is to adjust VPS input to apply the method in urban planning. Analyses focused on the following VPS parameters: a) accuracy of 3D model, b) density of strategic views, and c) VPS resolution. They have been carried out based on the case study of Gdansk, Poland. The study shows which of the parameters are crucial for the quality of the outcome and time of the computation process. All simulations presented in the article have been developed based on the C++ program prepared by author.
keywords	3D city models; cityscape protection; computational urban analyses; urban heritage; VPS method
series	CAADRIA
email
last changed	2022/06/07 07:56

_id	ecaade2020_229
id	ecaade2020_229
authors	Schützenhofer, Stefan, Honic, Meliha and Kovacic, Iva
year	2020
title	Design Optimisation via BIM Supported Material Passports
source	Werner, L and Koering, D (eds.), Anthropologic: Architecture and Fabrication in the cognitive age - Proceedings of the 38th eCAADe Conference - Volume 1, TU Berlin, Berlin, Germany, 16-18 September 2020, pp. 289-296
doi	https://doi.org/10.52842/conf.ecaade.2020.1.289
summary	Scarceness of resources, lack of waste sites, dependency on imports, increasing urbanization thus increasing consumption of resources and upcoming of waste are current challenges in built environment. Reduction of both, energy and resources consumption, should thereby be the primary aims for sustainable design. Even though by 2020 70% of the building waste has to be either recycled or reused , resources efficiency is less considered than energy efficiency in the design stage of buildings. Previous research has shown, that the generation of Building Information Modelling (BIM)-based Material Passports (MP) is possible and can for example be used for optimization in early design stages. In the current curricula the energy design is well represented in the courses of building science, however, optimization of resource efficiency and recycling potentials are still lacking. The focus of this proposal is the implementation of the developed BIM-based Material Passports in teaching for optimization of design proposals, thus enhancing the awareness for recyclability and reusability in construction among students of architecture and civil engineering.
keywords	BIM in education; Material Passport; Sustainability in education; Environmental sustainability; Integrated Planning
series	eCAADe
email
last changed	2022/06/07 07:56

_id	ecaade2020_032
id	ecaade2020_032
authors	Tuzun Canadinc, Seda, Wang, Bihan, Pi, Yalong and Yan, Wei
year	2020
title	Multi-User and Web-based Parametric Modeling with Multiple Visual Programming Tools
source	Werner, L and Koering, D (eds.), Anthropologic: Architecture and Fabrication in the cognitive age - Proceedings of the 38th eCAADe Conference - Volume 1, TU Berlin, Berlin, Germany, 16-18 September 2020, pp. 19-28
doi	https://doi.org/10.52842/conf.ecaade.2020.1.019
summary	This paper presents a new framework for Web-based parametric modeling for design collaboration, allowing multiple users to work on the shared Web-based model in the process of building design and modeling, performance simulation, and optimization. The Web-based model viewer displays a shared model. Two visual programming tools: Grasshopper and Dynamo, are used on users' local computers connected to the Web. Two working prototypes of modeling methods were developed to control and modify building models on the Web. Two case studies with three tests each were conducted on a simplified residential building model. In Case Study 1, two simulated users tested the parametric capabilities on transformations including scaling, translation, and rotation of the shared Web-based model using Grasshopper and Dynamo. In Case Study 2, two simulated users collaborated on the shared Web-based model through Grasshopper in the process of optimization for different building performance objectives, in terms of daylight, energy use, and roof coverage. Web-based parametric modeling is expected to provide opportunities for collaboration in parametric design and optimization. Findings and technical limitations of the framework are discussed in the paper.
keywords	Web-based Modeling; Parametric Modeling; Optimization; Visual Programming; Collaborative Design; Building Performance Simulation
series	eCAADe
email
last changed	2022/06/07 07:58

_id	sigradi2022_51
id	sigradi2022_51
authors	Varsami, Constantina; Tsamis, Alexandros; Logan, Timothy
year	2022
title	Gaming Engine as a Tool for Designing Smart, Interactive, Light-Sculpting Systems
source	Herrera, PC, Dreifuss-Serrano, C, Gómez, P, Arris-Calderon, LF, Critical Appropriations - Proceedings of the XXVI Conference of the Iberoamerican Society of Digital Graphics (SIGraDi 2022), Universidad Peruana de Ciencias Aplicadas, Lima, 7-11 November 2022 , pp. 617–628
summary	Even though interactive (Offermans et.al., 2013), adaptive (Viani et.al., 2017), and self-optimizable (Sun et.al., 2020) lighting systems are becoming readily available, designing system automations, and evaluating their impact on user experience significantly challenges designers. In this paper we demonstrate the use of a gaming engine as a platform for designing, simulating, and evaluating autonomous smart lighting behaviors. We establish the Human - Lighting System Interaction Framework, a computational framework for developing a Light Sculpting Engine and for designing occupant-system interactions. Our results include a. a method for combining in real-time lighting IES profiles into a single ‘combined’ profile - b. algorithms that optimize in real-time, lighting configurations - c. direct glare elimination algorithms, and d. system energy use optimization algorithms. Overall, the evolution from designing static building components to designing interactive systems necessitates the reconsideration of methods and tools that allow user experience and system performance to be tuned by design.
keywords	User Experience, Human-Building Interaction, Smart Lighting, Lighting Simulation, Gaming Engine
series	SIGraDi
email
last changed	2023/05/16 16:56

_id	caadria2020_063
id	caadria2020_063
authors	Wang, Chunxiao and Lu, Shuai
year	2020
title	Influence of Uncertainties in Envelope and Occupant Parameters on the Reliability of Energy-Based Form Optimization of Office Buildings
source	D. Holzer, W. Nakapan, A. Globa, I. Koh (eds.), RE: Anthropocene, Design in the Age of Humans - Proceedings of the 25th CAADRIA Conference - Volume 1, Chulalongkorn University, Bangkok, Thailand, 5-6 August 2020, pp. 497-506
doi	https://doi.org/10.52842/conf.caadria.2020.1.497
summary	Building performance optimization is effective in finding optimal designs and improving building energy efficiency, but its reliability can be affected by uncertainties in input parameters. This paper conducts a reliability analysis on energy-based form optimization of office buildings under uncertainties in envelope and occupancy parameters. An optimization process involving Rhinoceros, EnergyPlus and genetic algorithms is first implemented. Then parametric studies of 644 scenarios involving 4 cities in different climates and 3 form variables are conducted. The results indicate that uncertainties in input parameters could lead to major unreliability of optimization results, including reductions up to 13% in energy saving achieved by optimization and descents up to 10% in energy efficiency compared with results before optimization. Moreover, the uncertainty in visual transmittance of windows is the most significant cause for the unreliability, followed by U-value of walls, while the uncertainty in occupant density and occupant schedule has limited influence. The results can help designers understand the uncertainty of which parameters should be controlled and to what extend optimization results can be trusted in various scenarios.
keywords	Building Performance Optimization; Form Design; Building Energy Efficiency; Uncertainty Analysis; Office Building
series	CAADRIA
email
last changed	2022/06/07 07:58

_id	cdrf2019_134
id	cdrf2019_134
authors	Zhen Han, Wei Yan, and Gang Liu
year	2020
title	A Performance-Based Urban Block Generative Design Using Deep Reinforcement Learning and Computer Vision
source	Proceedings of the 2020 DigitalFUTURES The 2nd International Conference on Computational Design and Robotic Fabrication (CDRF 2020)
doi	https://doi.org/https://doi.org/10.1007/978-981-33-4400-6_13
summary	In recent years, generative design methods are widely used to guide urban or architectural design. Some performance-based generative design methods also combine simulation and optimization algorithms to obtain optimal solutions. In this paper, a performance-based automatic generative design method was proposed to incorporate deep reinforcement learning (DRL) and computer vision for urban planning through a case study to generate an urban block based on its direct sunlight hours, solar heat gains as well as the aesthetics of the layout. The method was tested on the redesign of an old industrial district located in Shenyang, Liaoning Province, China. A DRL agent - deep deterministic policy gradient (DDPG) agent - was trained to guide the generation of the schemes. The agent arranges one building in the site at one time in a training episode according to the observation. Rhino/Grasshopper and a computer vision algorithm, Hough Transform, were used to evaluate the performance and aesthetics, respectively. After about 150 h of training, the proposed method generated 2179 satisfactory design solutions. Episode 1936 which had the highest reward has been chosen as the final solution after manual adjustment. The test results have proven that the method is a potentially effective way for assisting urban design.
series	cdrf
email
last changed	2022/09/29 07:51

_id	acadia20_114p
id	acadia20_114p
authors	Zivkovic, Sasa; Havener, Brian; Battaglia, Christopher
year	2020
title	Log Knot
source	ACADIA 2020: Distributed Proximities / Volume II: Projects [Proceedings of the 40th Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-95253-6]. Online and Global. 24-30 October 2020. edited by M. Yablonina, A. Marcus, S. Doyle, M. del Campo, V. Ago, B. Slocum. 114-119.
summary	Log Knot, developed by the Robotic Construction Laboratory (RCL) at Cornell University, is a robotically fabricated architectural installation that establishes a method for variable compound timber curvature creation utilizing both regular and irregular roundwood geometries. Moreover, the project develops methods for minimal formwork assembly and moment force optimization of customized mortise and tenon joints. Following the logic of a figure-8 knot, the project consists of an infinite loop of roundwood, curving three-dimensionally along its length. There are a variety of techniques to generate single curvature in wood structures – such as steam bending (Wright et al., 2013) or glue lamination (Issa and Kmeid, 2005) – but only a few techniques to generate complex curvature from raw material within a single wooden structural element exist. To construct complex curvature, the research team developed a simple method that can easily be replicated. First, the log is compartmentalized, establishing a series of discrete parts. Second, the parts are reconfigured into a complex curvature “whole” by carefully manipulating the assembly angles and joints between the logs. Timber components reconfigured in such a manner can either follow planar curvature profiles or spatial compound curvature profiles. Based on knowledge gained from the initial joinery tests, the research team developed a custom tri-fold mortise and tenon joint, which is self-supportive during assembly and able to resist bending in multiple directions. Using the tri-fold mortise and tenon joint, a number of full-scale prototypes were created to test the structural capacity of the overall assembly. Various structural optimization protocols are deployed in the Log Knot project. While the global knot form is derived from spatial considerations – albeit within the structurally sound framework of a closed-loop knot structure – the project is structurally optimized at a local level, closely calibrating structural cross-sections, joinery details, and joint rotation in relation to prevailing load conditions.
series	ACADIA
type	project
email
last changed	2021/10/26 08:03

_id	cdrf2019_245
id	cdrf2019_245
authors	Dan Liang
year	2020
title	A Generative Material System of Clay Components-The Porosity Language
source	Proceedings of the 2020 DigitalFUTURES The 2nd International Conference on Computational Design and Robotic Fabrication (CDRF 2020)
doi	https://doi.org/https://doi.org/10.1007/978-981-33-4400-6_23
summary	Compared with the pre-determined architecture design based on standard elements, the underlying structure of nature is more like a complex system. Porosity language, for example, which is inspired by nature, has been widely applied in the architecture context. Through the analysis of the underlying methodologies of topology in each case, the strategy is to illustrate how clay components can achieve this natural porosity language. With the help of parametric topology, the report will clearly show how the innovative language of clay components is inspired, optimized and applied. As the background of the literature, natural porosity and examples of existing cavity wall made by clay components will be compared and analyzed in Sect. 1. In Sect. 2, Steven Hall’s porous methodology will be considered as the primary topological reference. The parametric iteration topology will be stated explicitly in Sect. 3, which will direct the randomness of porosity form to the balance between structural stability and the aesthetic value. In the last chapter, different architecture applications will be studied through the supporting of micro-climate simulation.
series	cdrf
email
last changed	2022/09/29 07:51

_id	caadria2020_431
id	caadria2020_431
authors	Kim, Jong Bum, Balakrishnan, Bimal and Aman, Jayedi
year	2020
title	Environmental Performance-based Community Development - A parametric simulation framework for Smart Growth development in the United States
source	D. Holzer, W. Nakapan, A. Globa, I. Koh (eds.), RE: Anthropocene, Design in the Age of Humans - Proceedings of the 25th CAADRIA Conference - Volume 1, Chulalongkorn University, Bangkok, Thailand, 5-6 August 2020, pp. 873-882
doi	https://doi.org/10.52842/conf.caadria.2020.1.873
summary	Smart Growth is an urban design movement initiated by Environmental Protection Agency (EPA) in the United States (Smart Growth America, 2019). The regulations of Smart Growth control urban morphologies such as building height, use, position, section configurations, faÃ§ade configurations, and materials, which have an explicit association with energy performances. This research aims to analyze and visualize the impact of Smart Growth developments on environmental performances. This paper presents a parametric modeling and simulation framework for Smart Growth developments that can model the potential community development scenarios, simulate the environmental footprints of each parcel, and visualize the results of modeling and simulation. We implemented and examined the proposed framework through a case study of two Smart Growth regulations: Columbia Unified Development Code (UDC) in Missouri (City of Columbia Missouri, 2017) and Overland Park Downtown Form-based Code (FBC) in Kansas City (City of Overland Park, 2017, 2019). Last, we discuss the implementation results, the limitations of the proposed framework, and the future work. We anticipate that the proposed method can improve stakeholders' understanding of how Smart Growth developments are associated with potential environmental footprints from an expeditious and thorough exploration of what-if scenarios of the multiple development schemes.
keywords	Smart Growth; Building Information Modeling (BIM); Parametric Simulation; Solar Radiation
series	CAADRIA
email
last changed	2022/06/07 07:52

_id	caadria2020_009
id	caadria2020_009
authors	Wang, Likai, Chen, Kian Wee, Janssen, Patrick and Ji, Guohua
year	2020
title	Algorithmic generation of architectural Massing Models for building design optimisation - Parametric Modelling Using Subtractive and Additive Form Generation Principles
source	D. Holzer, W. Nakapan, A. Globa, I. Koh (eds.), RE: Anthropocene, Design in the Age of Humans - Proceedings of the 25th CAADRIA Conference - Volume 1, Chulalongkorn University, Bangkok, Thailand, 5-6 August 2020, pp. 385-394
doi	https://doi.org/10.52842/conf.caadria.2020.1.385
summary	Using performance-based optimisation to explore unknown design solutions space has become widely acknowledged and considered an efficient approach to designing high-performing buildings. However, the lack of design diversity in the design space defined by the parametric model often confines the search of the optimisation process to a family of similar design variants. In order to overcome this weakness, this paper presents two parametric massing generation algorithms based on the additive and subtractive form generation principles. By abstracting the rule of these two principles, the algorithms can generate diverse building massing design alternatives. This allows the algorithms to be used in performance-based optimisation for exploring a wide range of design alternatives guided by various performance objectives. Two case studies of passive solar energy optimisation are presented to demonstrate the efficacy of the algorithm in helping architects achieve an explorative performance-based optimisation process.
keywords	parametric massing algorithms; performance-based optimisation; design exploration; solar irradiation
series	CAADRIA
email
last changed	2022/06/07 07:58

_id	ecaade2020_064
id	ecaade2020_064
authors	Agirbas, Asli
year	2020
title	Building Energy Performance of Complex Forms - Test simulation of minimal surface-based form optimization
source	Werner, L and Koering, D (eds.), Anthropologic: Architecture and Fabrication in the cognitive age - Proceedings of the 38th eCAADe Conference - Volume 1, TU Berlin, Berlin, Germany, 16-18 September 2020, pp. 259-268
doi	https://doi.org/10.52842/conf.ecaade.2020.1.259
summary	Many optimization tools are developed in line with the form-energy relationship to ensure energy efficiency in buildings. However, such studies with complex forms are very limited. Therefore, the MSO-2 model was developed. In this model, on the roof of the conceptual form, minimal surface is used, thus complex forms can be created. In this model, the conceptual form can be optimized (for one day) according to these objectives: increasing daylight in the space with maximum value limitation, reducing radiation on the roof, and enlarging floor surface area of the conceptual form with minimum value limitation. A test simulation was performed with this model. Thus, in order to find the most optimized form in multi-objective optimization, more generations could be produced in a short time and optimized conceptual forms, which were produced, could be tested for energy efficiency.
keywords	Multi-Objective Optimization; Radiation Analysis; Building energy performance; Daylighting Analysis
series	eCAADe
email
last changed	2022/06/07 07:54

_id	caadria2020_258
id	caadria2020_258
authors	Beatricia, Beatricia, Indraprastha, Aswin and Koerniawan, M. Donny
year	2020
title	Revisiting Packing Algorithm - A Strategy for Optimum Net-to Gross Office Design
source	D. Holzer, W. Nakapan, A. Globa, I. Koh (eds.), RE: Anthropocene, Design in the Age of Humans - Proceedings of the 25th CAADRIA Conference - Volume 1, Chulalongkorn University, Bangkok, Thailand, 5-6 August 2020, pp. 405-414
doi	https://doi.org/10.52842/conf.caadria.2020.1.405
summary	Net-to-gross efficiency is defined as the ratio of net area to a gross area of a building. Net-to-gross efficiency will determine the quantity of leasable building area. On the other side, the effectiveness of the spatial distribution of a floor plan design must follow the value of net-to-gross efficiency. Therefore in the context of office design, there are two challenges need to be improved: 1) to get an optimum value of efficiency, architects need to assign the amount and size of the office units which can be effectively arranged, and 2) to fulfill high net-to-gross efficiency value that usually set out at minimal 85%. This paper aims to apply the packing algorithm as a strategy to achieve optimum net-to-gross efficiency and generating spatial configuration of office units that fit with the result. Our study experimented with series of models and simulations consisting of three stages that start from finding net-to-gross efficiency, defining office unit profiles based on preferable office space units, and applying the packing algorithm to get an optimum office net-to-gross efficiency. Computational processes using physics engine and optimization solvers have been utilized to generate design layouts that have minimal spatial residues, hence increasing the net-to-gross ratio.
keywords	net-to-gross efficiency; packing algorithm; modular office area; area optimization;
series	CAADRIA
email
last changed	2022/06/07 07:54

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