algorithmic modeling for Rhino
GENERAL INFORMATION: dates: 22-25th May 2017 (4 days) language: English estimated amount of places: 20
In the context of global propagation of cities as a generic ‚copy and paste‘, the workshop will propose new models of infrastructural self-organisation, urban automation and mobility systems.
Adaptive networks based on multi-agent principles and crowd simulation are used to solve complex architectural and programmatic conditions in a three-dimensional urban environment. We will explore towards an intelligent architecture, defined by flows of information and its materialization in speculative infrastructure and architectural scenarios. A responsive infrastructure that is deployable in multiple regions.
Our design process will be driven by a direct feedback loop of different simulation software, each informing another as input for emerging connectivity networks and interrelated urban systems, driven by site specific urban and topographical parameters.
The workshop aims to develop ideas of adaptive and evolutionary space-making beyond deterministic and finite solutions. In a series of algorithmic design exercises, different network principles and speeds, users behavior and needs are tested and evaluated, both by observation and parameter based criteria.
Students will propose an architectural intervention in dense urban scenarios, that is both tested for optimised efficiency and stimulating in its embodiment.
Students will be introduced to expertise in generative, algorithmic and parametric design approaches. Tutors and students will engage experimentally with computational simulation, analysis, design and production to query the design repercussions of these information-based technological methods for urbanism. During the workshop, students will develop design proposals responding to studio briefs using Processing with Rhino and Grasshopper. The final results of the workshop will be visualized using V-Ray for Rhino and the Adobe Suite.
Basic knowledge of Rhino and Adobe Suite is required. Advanced knowledge of Grasshopper and Processing is not mandatory.