Research Platform: Variations of Applied Systems 系列应用系统变量 (VAS)
The Variations of Applied Systems (VAS) is a series of research labs of the application of system and design prototyping in architectural practice. Join us for an open-forum for discussion with the topic through our tailored workshops!
VAS has been already held several times in the year 2016 and will continue to call for the researchers.
The goal of this research platform is to increase the depth of students’ knowledge in contemporary design and technologies, whereas it largely allows students to explore and apply their new skills through assigned group projects. By making a combination of some systems into the simplest form of design, a prototype, students and lecturers all together explore how parameters can vary the result from the view of both functional and aesthetic properties. The target systems to be researched are Stochastic, Field, Fractal, Voronoi, and Wrinkle. (See below for the research agenda)
A system may be defined as a set of components that shape a whole and can be found in various fields of matter and organization ranging from nature to culture and society, among others.
Our system research begins by studying certain system examples and extracting their properties as seeds of ruled components, aiming to achieve their respective design goals in practice through variational design. The rules and patterns extracted from these systems will be used in prototypes, which will be reusable across practices due to the intentional omission of localization and are, thus, designated to be the most abstract form of system application, whereas the system parameter will be utilized and transformed into the customized control of our targeted design quality. The prototypes can be applied to any applicable and practical project.
我们的系统研究通过总结这些系统原型， 提取它们的内在属性作为元组件，以实现通过改变参数控制设计结果（系统控制）的目标。从系统中提取的规则与形式，将被抽象转化为不针对场地、可以在实践中反复利用的设计原型 。设计原型作为抽象的系统应用形式，通过具体项目中系统参数的改变又可以进一步转变为设计目标质量的自定义控制量。这些总结出的原型可以应用于任何相关的实践项目中。
The design process is rooted in finding solutions to problems, whereby the strategy implemented defines the resulting design. This is also what computation can help to improve. It’s our wish that our lab can be of assistance to anyone who is seeking alternative strategies for solving various problems in design, and how to begin shaping that process through new technologies and new ideas.
See some of research at our System Page!