Expression of Design Problem by Design Space Model to Support Collaborative Design in Basic Plan of Architectural Design

Author(s):  
Yoshiaki Tegoshi ◽  
Zhihua Zhang ◽  
Zhou Su
2012 ◽  
Vol 134 (7) ◽  
Author(s):  
David W. Shahan ◽  
Carolyn Conner Seepersad

Complex engineering design problems are often decomposed into a set of interdependent, distributed subproblems that are solved by domain-specific experts. These experts must resolve couplings between the subproblems and negotiate satisfactory, system-wide solutions. Set-based approaches help resolve these couplings by systematically mapping satisfactory regions of the design space for each subproblem and then intersecting those maps to identify mutually satisfactory system-wide solutions. In this paper, Bayesian network classifiers are introduced for mapping sets of promising designs, thereby classifying the design space into satisfactory and unsatisfactory regions. The approach is applied to two example problems—a spring design problem and a simplified, multilevel design problem for an unmanned aerial vehicle (UAV). The method is demonstrated to offer several advantages over competing techniques, including the ability to represent arbitrarily shaped and potentially disconnected regions of the design space and the ability to be updated straightforwardly as new information about the satisfactory design space is discovered. Although not demonstrated in this paper, it is also possible to interface the classifier with automated search and optimization techniques and to combine expert knowledge with the results of quantitative simulations when constructing the classifiers.


Author(s):  
Chao Xu ◽  
Lili Pan ◽  
Ming Li ◽  
Shuming Gao

Porous materials / structures have wide applications in industry, since the sizes, shapes and positions of their pores can be adjusted on various demands. However, the precise control and performance oriented design of porous structures are still urgent and challenging, especially when the manufacturing technology is well developed due to 3D printing. In this study, the control and design of anisotropic porous structures are studied with more degrees of freedom than isotropic structures, and can achieve more complex mechanical goals. The proposed approach introduces Super Formula to represent the structural cells, maps the design problem to an optimal problem using PGD, and solves the optimal problem using MMA to obtain the structure with desired performance. The proposed approach is also tested on the performance of the expansion of design space, the capture of the physical orientation and so on.


Author(s):  
Arulmalar Ramaraj

Studies reveal that subjective knowledge and irrational creativity dominate architectural design studios in the current scenario. With an intention to facilitate ‘problem-driven outcomes’ in a design studio, we framed a series of tasks specific to the framed design problem planned. The tasks were introduced sequentially at the beginning of design studio. For this purpose, a design problem with a time frame of 12 weeks of focusing on ‘multifunctional spaces’ was introduced to two groups of students pursuing second-year architecture To examine the effectiveness of the strategy, 39 students participated voluntarily in framed tasks like ‘story boards’, ‘reels to reality’, ‘collage’ and ‘dialogue between known and unknown context’ to construct appropriate knowledge. Triangulation of qualitative and quantitative analysis of the emergent outcomes processes from three different perspectives was investigated. The performances of the two groups display a stark difference in problem structuring, design processes and the outcomes. Keywords: Art, facilitate, effectiveness, design studio, problem-driven outcome.


2009 ◽  
Vol 7 (3) ◽  
pp. 389-402 ◽  
Author(s):  
Sambit Datta ◽  
Stuart Hanafin ◽  
Gregory Pitts

Constraint based tools for architectural design exploration need to satisfy aesthetic and functional criteria as well as combine discrete and continuous modes of exploration. In this paper, we examine the possibilities for stochastic processes in design space exploration. Specifically, we address the application of a stochastic wind motion model to the subdivision of an external building envelope into smaller discrete components. Instead of deterministic subdivision constraints, we introduce explicit uncertainty into the system of subdivision. To address these aims, we develop a model of stochastic wind motion; create a subdivision scheme that is governed by the wind model and explore a design space of a façade subdivision problem. A discrete version of the façade, composed of light strips and panels, based on the bamboo elements deformed by continuous wind motion, is developed. The results of the experiments are presented in the paper.


Author(s):  
Jin Seung Lim ◽  
Yong Se Kim ◽  
Eric Wang ◽  
James Dicker

The ability of an engineer and an architect to visualize and reason about geometric aspects of physical objects and processes is crucial to the success of their professional activities. This visual reasoning capability forms the essential foundation for engineering and architecture education. This paper describes the Figural Space Design problem in the architectural design module of the Visual Reasoning Tutor (VRT) system. Specifically, geometric reasoning methods developed to provide evaluation of the student solution in an introductory figural space design problem using four sticks are described in this paper together with the pedagogy of the problem.


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