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	acadia16_196
id	acadia16_196
authors	Yuan, Philip F.; Chai, Hua; Yan, Chao; Zhou, Jin Jiang
year	2016
title	Robotic Fabrication of Structural Performance-based Timber Gridshell in Large-Scale Building Scenario
source	ACADIA // 2016: POSTHUMAN FRONTIERS: Data, Designers, and Cognitive Machines [Proceedings of the 36th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-77095-5] Ann Arbor 27-29 October, 2016, pp 196-205
doi	https://doi.org/10.52842/conf.acadia.2016.196
summary	This paper investigates the potential of a digital geometry system to integrate structural performance-based design and robotic fabrication in the scenario of building a large-scale non-uniform timber shell. It argues that a synthesis of multi-objective optimization, design and construction phases is required in the realization of timber shell construction in architecture practice in order to fulfill the demands of building regulation. Confronting the structural challenge of the non-uniform shell, a digital geometry system correlates all the three phases by translating geometrical information between them. First, a series of structural simulations and experimentations with different objectives are executed to inform the particular shape and tectonic details of each shell component based on its local condition in the geometrical system. Then, controlled by the geometrical system, a hybrid process of different digital fabrication technologies, including a customized robotic timber mill, is established to enable the manufacture of the heterogeneous shell components. Ultimately, the Timber Structure Enterprise Pavilion as the demonstration and evaluation of this method is fabricated and assembled on site through a notational system to indicate the applicability of this research in practical scenarios.
keywords	robotic fabrication, geometrical information modeling, simulation and design optimization, big data
series	ACADIA
type	paper
email
last changed	2022/06/07 07:57

_id	cf2013_130
id	cf2013_130
authors	Yuan, Philip F.; Eleni Sotiriou, and Mei Zhang
year	2013
title	Modular Digital Tectonics: Algorithmic Optimization of a Glass Component Wall for a Customized Fabrication Method
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. 130-138.
summary	This paper examines the implications of digital fabrication techniques on design and tectonics, through the example of a double-curvature glass-brick wall, designed and constructed in the context of ongoing research on modular tectonics by the architectural practice of Archi-Union. The high level of form complexity posed a great challenge for fabrication and gave rise to an alternate solution: customization and prefabrication of the supporting steel frame through a CNC rod-bending machine output a robust structure which allowed for accurate and fast placement of the bricks, thus minimizing costs, construction time and preserving design integrity. Therefore, the design orientated towards fabrication, and an algorithmic method that took into consideration production parameters was developed to optimize the structure. Realization of this prototype helps support our methodology for control of complexity in non-standard geometries which is based on adapting the design approach to customized fabrication methods.
keywords	Digital Fabrication, digital tectonics, component architecture, algorithmic design, CNC rod-bending
series	CAAD Futures
email
last changed	2014/03/24 07:08

_id	caadria2011_008
id	caadria2011_008
authors	Yuan, Xiaofang; Jihyun Lee and Yu Wu
year	2011
title	A new perspective to look at ice-ray grammar
source	Proceedings of the 16th International Conference on Computer Aided Architectural Design Research in Asia / The University of Newcastle, Australia 27-29 April 2011, pp. 81-90
doi	https://doi.org/10.52842/conf.caadria.2011.081
summary	Chinese lattice designs are a rich source of interesting geometric forms and shape grammar has been used to analyze and generate Chinese lattice designs. Following the origin design intention, researchers have already defined simple and intuitively compelling shape grammar rules to generate them. However, for some self-similar ice-rays, it is difficult to clarify the design intention of them, which is why researchers still cannot define shape grammar rules for them. In this paper, we utilize the culture hints to select the lowest-level constituent for shape calculation and clarify the design intention embedded in the ice-rays. We develop our new shape grammar rules based on the design intention and validate the rules by generating an existing ice-ray window.
keywords	Ice-ray; shape grammar; cultural hint; design intention; lowest-level constituent
series	CAADRIA
email
last changed	2022/06/07 07:57

_id	cdrf2021_35
id	cdrf2021_35
authors	Yubo Liu, Chenrong Fang, Zhe Yang, Xuexin Wang, Zhuohong Zhou, Qiaoming Deng, and Lingyu Liang
year	2021
title	Exploration on Machine Learning Layout Generation of Chinese Private Garden in Southern Yangtze
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_4
summary	Machine learning has been proved to be feasible and reasonable in architectural field by extensive researches recently, whereas its potential is far from being tapped. Previous studies show that the training of GAN by labelling can enable a computer to grasp interrelationship of spatial elements and logical relationship between spatial elements and boundary. This study set the learning object as layout of private gardens in southern Yangtze with higher complexity. Chinese scholars usually analyse private garden layout based on their observation and experience. In this paper, based on Pix2Pix model, we enable a computer to generate private garden layout plan for given site conditions by learning classic cases of traditional Chinese private gardens. Through the experiment, taking Lingering garden as example, we continuously adjust the labelling method to improve learning effect. The finally trained model can quickly generate private garden layout and aid designers to complete scheme design with private garden element corpus. In addition, the working process of training GAN enables us to discover and verify some private garden layout rules that have not been paid attention to.
series	cdrf
email
last changed	2022/09/29 07:53

_id	cdrf2023_11
id	cdrf2023_11
authors	Yubo Liu, Han Li, Qiaoming Deng, Kai Hu
year	2023
title	Diffusion Probabilistic Model Assisted 3D Form Finding and Design Latent Space Exploration: A Case Study for Taihu Stone Spacial Transformation
source	Proceedings of the 2023 DigitalFUTURES The 5st International Conference on Computational Design and Robotic Fabrication (CDRF 2023)
doi	https://doi.org/https://doi.org/10.1007/978-981-99-8405-3_2
summary	Taihu stone is an important landscape element in Chinese Private Garden on Southern Yangtze river, which is known for its profound cultural and aesthetic significance. In this paper, we intend to introduce the 3D spacial character of Taihu stone into architectural forms and spaces using machine learning, trying to explore the possibilities of AI-assisted 3D form finding and design latent space exploration. Existing spacial transformation of Taihu stone is mainly demonstrated by continuous section slicing, which cannot directly analyze and generate 3D space, thus cannot learn the most characteristic internal space of Taihu stone. This paper used the latest 3D point cloud probabilistic diffusion model to achieve 3D form generation and interpolation of Taihu stone and architectural massing through latent space exploration. Experiments show that a sufficiently trained diffusion model can generate 3D point clouds of Taihu stone and building massing, as well as generate interpolations between them. The latent vector can be manipulated to generate outputs that are more oriented towards the Taihu stone or the building massing, to meet the different needs of designers. Generated point clouds can be reconstructed into triangle meshes or voxelized, as a morphological prototype for further design implementation. Generated forms are capable to provide inspiration and reference for the designers to create free forms, showing the potential of the diffusion model to assist architecture design in conceptual phases.
series	cdrf
email
last changed	2024/05/29 14:04

_id	cdrf2022_233
id	cdrf2022_233
authors	Yubo Liu, Zhilan Zhang, and Qiaoming Deng
year	2022
title	Exploration on Diversity Generation of Campus Layout Based on GAN
source	Proceedings of the 2022 DigitalFUTURES The 4st International Conference on Computational Design and Robotic Fabrication (CDRF 2022)
doi	https://doi.org/https://doi.org/10.1007/978-981-19-8637-6_20
summary	Previous studies have shown that GAN has made some progress in the generation of campus layout plan, but the result is single output for single input condition. This paper hopes to make some attempts and explorations on the diversity generation of campus planning layout design by machine learning. Based on Pix2Pix model, this paper proposes a method to divide image channels so that both the campus function bubble diagram and the site boundary can both become the input conditions. There is a strong correspondence between the campus functional bubble diagram and the campus layout. The main idea of this study is to control the generated results by changing the input of the campus functional bubble diagram, so that we can have a diversity layout of campus according to the same site conditions. In the experiment, we train thirty samples of campus planning layout design, and finally evaluate the generated results in a qualitative and quantitative way, which proves that the generated results are relatively ideal. This research enables designers to participate in the process of machine learning generative design to control the generation results.
series	cdrf
email
last changed	2024/05/29 14:02

_id	cdrf2023_125
id	cdrf2023_125
authors	Yubo Liu, Zhilan Zhang, Kai Hu, Qiaoming Deng
year	2023
title	Graph Constrained Multiple Schemes Generation for Campus Layout
source	Proceedings of the 2023 DigitalFUTURES The 5st International Conference on Computational Design and Robotic Fabrication (CDRF 2023)
doi	https://doi.org/https://doi.org/10.1007/978-981-99-8405-3_11
summary	The campus layout is a major stage in the early stages of campus planning and design. When assessing the feasibility of a campus site in stage, we usually compare multiple campus layout schemes, which consumes a lot of time. The design process can be accelerated if multiple campus planning schemes can be generated quickly to meet the desired requirements. This study aims to explore the possibility of using graph neural networks (GNN) to generate multiple campus layouts. We use a step-by-step generation method. The first step is generating campus functional zonings based on user constraints. The second step is generating campus building layouts based on the functional zonings. Ultimately the machine is able to quickly generate multiple campus layout schemes by user input of graph constraints such as the number of functional zonings, the type of functions and their adjacency. In the experiment, we trained 200 campus layout samples and verified the validity and accuracy of the experiment after qualitative and quantitative analysis.
series	cdrf
email
last changed	2024/05/29 14:04

_id	caadria2007_693
id	caadria2007_693
authors	Yue Kui; Ramesh Krishnamurti
year	2007
title	Feature-Based Prediction of the Interior Layout of Building
source	CAADRIA 2007 [Proceedings of the 12th International Conference on Computer Aided Architectural Design Research in Asia] Nanjing (China) 19-21 April 2007
doi	https://doi.org/10.52842/conf.caadria.2007.x.x9v
summary	A system using exterior observable features to predict the interior layout of those buildings, whose space and topology can be described by shape grammars.
series	CAADRIA
email
last changed	2022/06/07 07:50

_id	caadria2008_14_session2a_117
id	caadria2008_14_session2a_117
authors	Yue, Kui; Casey Hickerson, Ramesh Krishnamurti
year	2008
title	Determining the interior layout of buildings describable by shape grammars
source	CAADRIA 2008 [Proceedings of the 13th International Conference on Computer Aided Architectural Design Research in Asia] Chiang Mai (Thailand) 9-12 April 2008, pp. 117-124
doi	https://doi.org/10.52842/conf.caadria.2008.117
summary	This paper describes our current research results on the general algorithm and data structures supporting the determination of the interior layout for buildings comprising rectangular spaces and describable by shape grammars.
keywords	Shape grammars; interior layout; constraints satisfaction; graph-like structure
series	CAADRIA
email
last changed	2022/06/07 07:57

_id	caadria2024_466
id	caadria2024_466
authors	Yuliana, Yuliana, Cahyadi Agung, Muhammad Rafif, Rahman, Muhammad Arif, Alkadri, Miktha Farid and Hein, Carola
year	2024
title	Investigating Condensation Risks on Heritage Building Surfaces Using Blinn-Phong Brdf Model and Attribute Information of Point Cloud Data
source	Nicole Gardner, Christiane M. Herr, Likai Wang, Hirano Toshiki, Sumbul Ahmad Khan (eds.), ACCELERATED DESIGN - Proceedings of the 29th CAADRIA Conference, Singapore, 20-26 April 2024, Volume 2, pp. 253–262
doi	https://doi.org/10.52842/conf.caadria.2024.2.253
summary	To date, the preservation techniques of heritage buildings in Indonesia are still limited to physical measurement, most of which are based on manual records. Consequently, lack of accuracy, cost and time consumption often lead to misinterpretation of crucial information during the decision-making process. This part includes physical damage (i.e., mold growth, flaking paint, water leaks), caused by condensation due to high relative humidity. Thanks to the development of advanced laser scanning technology, high-precision point cloud datasets can be obtained to conduct surface performance analysis. Furthermore, this study proposes an integrated computational method for detecting condensation risks in heritage buildings by making use of optical and thermal properties calculated from point cloud data. The proposed method specifically employs Blinn-Phong Bidirectional Reflectance Function (BRDF) model to calculate the distributed reflectance in a material based on the angle of incidence and material reflectance. Along with it, the point cloud measurement is also coupled with FLIR One Pro IR camera and HOBO data logger to analyze the thermal performances of the building surface. Ultimately, this study will provide architects with a better understanding regarding potential risks of condensation in the heritage building surface so that they can perform early detection tasks.
keywords	Cultural Heritage Building, 3D Scanning, Thermal Properties, Blinn-Phong BRDF
series	CAADRIA
email
last changed	2024/11/17 22:05

_id	cdrf2021_26
id	cdrf2021_26
authors	Yuqian Li and Weiguo Xu
year	2021
title	Using CycleGAN to Achieve the Sketch Recognition Process of Sketch-Based Modeling
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_3
summary	Architects usually design ideation and conception by hand-sketching. Sketching is a direct expression of the architect’s creativity. But 2D sketches are often vague, intentional and even ambiguous. In the research of sketch-based modeling, it is the most difficult part to make the computer to recognize the sketches. Because of the development of artificial intelligence, especially deep learning technology, Convolutional Neural Networks (CNNs) have shown obvious advantages in the field of extracting features and matching, and Generative Adversarial Neural Networks (GANs) have made great breakthroughs in the field of architectural generation which make the image-to-image translation become more and more popular. As the building images are gradually developed from the original sketches, in this research, we try to develop a system from the sketches to the images of buildings using CycleGAN algorithm. The experiment demonstrates that this method could achieve the mapping process from the sketches to images, and the results show that the sketches’ features could be recognised in the process.By the learning and training process of the sketches’ reconstruction, the features of the images are also mapped to the sketches, which strengthen the architectural relationship in the sketch, so that the original sketch can gradually approach the building images, and then it is possible to achieve the sketch-based modeling technology.
series	cdrf
email
last changed	2022/09/29 07:53

_id	cdrf2022_314
id	cdrf2022_314
authors	Yuqian Li, Weiguo Xu, and Xingchen Liu
year	2022
title	Research on Architectural Generation Design of Specific Architect's Sketch Based on Image-To-Image Translation
source	Proceedings of the 2022 DigitalFUTURES The 4st International Conference on Computational Design and Robotic Fabrication (CDRF 2022)
doi	https://doi.org/https://doi.org/10.1007/978-981-19-8637-6_28
summary	Sketch is a way for architects to communicate with others. Architects record their own ideas through rapid drawing. However, sketches are abstract, vague, and even ambiguous. To this end, architects need to spend a lot of time, through modeling and other means, to present the architectural plan that can be understood by people. However, this method is time-consuming and laborious. Due to the development of deep learning technology, especially convolutional neural networks (CNN) and generative adversarial networks (GAN), they have shown great advantages in the field of image recognition and generation. With the help of these technologies, ambiguous architectural sketches can be directly transformed into architectural scheme drawings, and architects’ creative intentions can be continuously improved and developed, It will be very convenient and efficient. Therefore, based on the image-to-image translation, this paper realizes the mapping from architectural sketches to architectural scheme drawings with the help of CycleGAN. Through the analysis of the architectural generation design results of Frank Gehry's and Alberto Campo Baeza's architectural sketches, firstly, the feasibility of this method is verified. Secondly, it is found that this method can well complete the identification of sketch boundaries. In the generated scheme drawings, it can not only reflect the volume and lighting changes of the building, but also reflect the architect's creative intention and style to a large extent, The side reflects the cognitive ability of this method to architectural design.
series	cdrf
email
last changed	2024/05/29 14:02

_id	cdrf2019_179
id	cdrf2019_179
authors	Yuzhe Pan, Jin Qian, and Yingdong Hu
year	2020
title	A Preliminary Study on the Formation of the General Layouts on the Northern Neighborhood Community Based on GauGAN Diversity Output Generator
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_17
summary	Recently, the mainstream gradually has become replacing neighborhood-style communities with high-density residences. The original pleasant scale and enclosed residential spaces have been broken, and the traditional neighborhood relations are going away. This research uses machine learning to train the model to generate a new plan, which is used in today’s residential design. First, in order to obtain a better generation effect, this study extracts the transcendental information of the neighborhood community in north of China, using roads, buildings etc. as morphological representations; GauGAN, compared to the pix2pix and pix2pixHD, used by predecessors, can achieve a clearer and a more diversified output and also fit irregular contours more realistically. ANN model trained by 167 general layout samples of a neighborhood community in north of China from 1950s to 1970s can generate various general layouts in different shapes and scales. The experiment proves that GauGAN is more suitable for general layout generation than pix2pix (pix2pixHD); Distributed training can improve the clarity of the generation and allow later vectorization to be more convenient.
series	cdrf
email
last changed	2022/09/29 07:51

_id	sigradi2021_146
id	sigradi2021_146
authors	Yönder, Veli Mustafa, Dogan, Fehmi and Çavka, Hasan Burak
year	2021
title	Deciphering and Forecasting Characteristics of Bodrum Houses Using Artificial Intelligence (AI) Approaches
source	Gomez, P and Braida, F (eds.), Designing Possibilities - Proceedings of the XXV International Conference of the Ibero-American Society of Digital Graphics (SIGraDi 2021), Online, 8 - 12 November 2021, pp. 241–252
summary	Computer vision (CV), artificial intelligence (AI), machine learning (ML), and deep learning (DL) applications, which are among the rapidly emerging and growing technologies, have the potential to be effectively used in the fields of architecture and construction. These applications are used not only in the field of architectural design development and construction site tracking but also to analyze and predict the architectural properties of existing buildings and heritage classification. This paper aims to classify and analyze the façades of Bodrum houses by using deep learning models, comprehensive relational database (RDB), and artificial neural network based clustering methods. Through the use of the above-mentioned methods, we managed to cluster Bodrum houses' façade attributes in five groups and testing image classification models in three different classifiers.
keywords	Image processing, Deep learning (DL), Classification, Hierarchical cluster analysis, Artificial neural networks (ANNs)
series	SIGraDi
email
last changed	2022/05/23 12:10

_id	caadria2018_016
id	caadria2018_016
authors	Zahedi, Ata and Petzold, Frank
year	2018
title	Utilization of Simulation Tools in Early Design Phases Through Adaptive Detailing Strategies
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. 11-20
doi	https://doi.org/10.52842/conf.caadria.2018.2.011
summary	Decisions taken at early stages of building design have a significant effect on the planning steps for the entire lifetime of the project as well as the performance of the building throughout its lifecycle (MacLeamy 2004). Building Information Modelling (BIM) could bring forward and enhance the planning and decision-making processes by enabling the direct reuse of data hold by the model for diverse analysis and simulation tasks (Borrmann et al. 2015). The architect today besides a couple of simplified simulation tools almost exclusively uses his know-how for evaluating and comparing design variants in the early stages of design. This paper focuses on finding new ways to facilitate the use of analytical and simulation tools during the important early phases of conceptual building design, where the models are partially incomplete. The necessary enrichment and proper detailing of the design model could be achieved by means of dialogue-based interaction concepts with analytical and simulation tools through adaptive detailing strategies. This concept is explained using an example scenario for design process. A generic description of the aimed dialog-based interface to various simulation tools will also be discussed in this paper using an example scenario.
keywords	BIM; Early Design Stages; Adaptive Detailing ; Communication Protocols; Design Variants
series	CAADRIA
email
last changed	2022/06/07 07:57

_id	ecaadesigradi2019_140
id	ecaadesigradi2019_140
authors	Zahedi, Ata and Petzold, Frank
year	2019
title	Interaction with analysis and simulation methods via minimized computer-readable BIM-based communication protocol
source	Sousa, JP, Xavier, JP and Castro Henriques, G (eds.), Architecture in the Age of the 4th Industrial Revolution - Proceedings of the 37th eCAADe and 23rd SIGraDi Conference - Volume 1, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 241-250
doi	https://doi.org/10.52842/conf.ecaade.2019.1.241
summary	The early stages of building design are characterized by a continuous endeavor for the development of variants and their evaluation and consistent detailing. The concept of adaptive detailing aims to enable the architect to evaluate and compare design variants which are partially incomplete and vague (Zahedi and Petzold 2018b). This paper discusses a minimized communication protocol based on BIM, which enables computer-readable interactions between the architect and different domain-experts (representing various analysis and simulation procedures) (Zahedi and Petzold 2018a). This comprises the selection of simulation procedures as well as any necessary consolidation of the information content according to the requirements of the simulations. Any additions required on the part of the simulation procedures are visually prepared globally or space-and component-oriented respectively, in order to perform detailing of a building model in a targeted way. Moreover, this paper proposes various supportive methods for visual representation and exploration of analysis results.
keywords	Building Information Modeling (BIM); Early Stages of Design; Adaptive Detailing; Minimized Communication Protocol
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:57

_id	7add
authors	Zahnan, Lena
year	2001
title	Computer-aided Design-based Project Management Model
source	Concordia University (Canada)
summary	The construction industry is one that is fragmented by nature. In current practice, information is exchanged between the designers and contractors in the form of paper documents such as drawings, bills of material and specifications. Information is lost and errors are made during the forward and backward exchange of the design-construction information and constructability knowledge between the design professionals, cost estimators and contractors. Despite the technological developments in IT, the industry has been slow in adopting change in its processes. Computer Integrated Construction (CIC) strives to bridge the gaps of information by integrating the tools and processes within the Architecture, Engineering and Construction industries. This thesis proposes an integrated methodology across the design and construction functions supported by available CAD technologies. The proposed methodology has been implemented in a prototype software application named “CAD-B PM” that allows the user to integrate the CAD design with a central database that is a repository of project information. Productivity and cost estimates are generated within the database and are further integrated to a scheduling application for project planning and control. The prototype system provides a unique solution where the project information is openly shared between the applications in a dynamic environment through the use of Open Database Connectivity (ODBC).
keywords	Industrial Engineering
series	thesis:PhD
last changed	2003/02/12 22:37

_id	ascaad2009_mimi_abdul_ghani
id	ascaad2009_mimi_abdul_ghani
authors	Zaleha, Mimi; Abdul Ghani and Sambit Datta
year	2009
title	Virtual Ampang Jaya: An interactive visualization environment for modeling urban growth and spatio-temporal transformation
source	Digitizing Architecture: Formalization and Content [4th International Conference Proceedings of the Arab Society for Computer Aided Architectural Design (ASCAAD 2009) / ISBN 978-99901-06-77-0], Manama (Kingdom of Bahrain), 11-12 May 2009, pp. 379-394
summary	Virtual Ampang Jaya is an interactive visualization environment for modeling urban growth and spatio-temporal transformation to expose and evaluate the different layers of Ampang Jaya, consisting of social, economic, built and natural environments. The research will investigate the techniques of data acquisition, data reconstruction from physical to digital, urban analysis and visualization in constructing a digital model which may include low geometric content such as 2D digital maps and digital orthographics to high geometric content such as full volumetric parametric modeling. The process will integrate the state of the art GIS system to explore GIS powerful analytical and querying capabilities with interactive visualization environment as well as test the model as a predictive tool. The model will set as an experimental test pad in providing a new platform to support decision making about the spatial growth of Ampang Jaya by the various stakeholders in the planning processes. Such an environment will improve the subsequent digital models and research in the area of urban design and planning where visual communication is central.
series	ASCAAD
email
last changed	2009/06/30 08:12

_id	d414
authors	Zalewski, Waclaw and Allen, Edward
year	1998
title	Shaping Structures
source	New York: John Wiley and Sons
summary	In Shaping Structures, an engineer and an architect, both longtime teachers of structures at major American universities, collaborate to present an inspired synthesis of the creative and the technical, explicating both the principles of statics and their application to the fascinating task of finding good form for structures. This richly visual volume features: * An easily understood development of the fundamentals of statics * Step-by-step demonstrations, using both numerical and graphical techniques, of simple yet powerful methods for finding form and forces for arched structures, suspended structures, cable-stayed structures, and highly efficient trusses * 120 photographs and more than 300 crisp drawings that illustrate and explain the magnificent structural triumphs of master architects and engineers -including Gustave Eiffel's famous tower, Robert Maillart's soaring bridges, Pier Luigi Nervi's landmark Turin Exhibition Hall, and many others * Calculations in both SI metric and conventional units throughout the book Requiring only the most rudimentary mathematical background yet accurate and fully functional, Shaping Structures provides an inviting point of entry to the study of structural design for engineering and architecture students -proving that the science of statics doesn't have to be lifeless, simplistic, or dull.
series	other
last changed	2003/04/23 15:14

_id	ascaad2021_050
id	ascaad2021_050
authors	Zamani, Erfan; Theodoros Dounas
year	2021
title	Parametric Iranian-Islamic Muqarnas as Drivers for Design for Fabrication and Assembly via UAVs: Parametric Analysis and Synthesis of Iranian-Islamic Muqarnas
source	Abdelmohsen, S, El-Khouly, T, Mallasi, Z and Bennadji, A (eds.), Architecture in the Age of Disruptive Technologies: Transformations and Challenges [9th ASCAAD Conference Proceedings ISBN 978-1-907349-20-1] Cairo (Egypt) [Virtual Conference] 2-4 March 2021, pp. 436-449
summary	This study proposes a DfMA (from design to assembly) based on Unmanned Aerial Vehicle (UAV) and uses Iranian-Islamic Muqarnas as the case study due to their geometric modularity. In Islamic architecture, different geographic regions are known to have used various design and construction methods of Muqarnas. There are four main specifications of the Muqarnas that define to which category they belong; first, its three-dimensional shape, that provides volume. Secondly, the size of its modules is variable. Third, its specific generative algorithm. And finally, the 2-dimensional pattern plan that is used in the design. First, this study presents thus a global analytical study that drives a generative system to construct Muqarnas, through a careful balance of four specifications. In this second step, the paper reports the result of using a parametric tool, Grasshopper and parametric plugins, for creating a generative system of several types of Muqarnas. This synthetic translation aims at expanding our understanding of parametric analysis and synthesis of traditional architecture, advancing our understanding towards using parametric synthesis towards UAV-based fabrication of Muqarnas, by taking advantage of their inherent repetition and recursion.
series	ASCAAD
email
last changed	2021/08/09 13:11

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