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Research in Action
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Nature is not a model to imitate, but a system to decode
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Differential Growth Simulation
The digital simulation of differential growth was developed using a parametric computational framework within Rhino 3D and Grasshopper.
The simulation aimed to emulate biological principles, where slight, cumulative local differences in expansion rates lead to emergent morphological complexity.The simulation yielded emergent, biologically inspired forms characterized by anisotropic expansion, self-organization, and adaptive morphological behavior.
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BIOGROWTH POCESS BASED ON PARTICLES DISPERSION OVER TIME
Thinking about nature, paying attention to how biological phenomena grow and take shape rather than superficial and formal imitation is one of the basis of the present study to deepen the principles and rules of form generation process. The main purpose of this research is to investigate the possibility of using the growth processes and the formation of biological phenomena in the methodization of the form generation process.v It is believed that this type of effort will help us to create a new design logic. So In line with this approach, this algorithm has been developed with the aim of investigating the bio growth process. This algorithm is based on two concepts of time and particle physical properties. By applying the changes to them, a wide range of formal results will be obtained. For this purpose, a
concept called noise growth has been used.
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STOCHASTIC ALGORITHMS AND PROBABILITY RULES IN FORM FINDING
The present study is about development of ststoochastic algorithmschastic algorithms and probability theory in design process. This refers to a kind of optimization method by probability rules in a stochastic process. stochasticity is used in many different fields, including the natural sciences such as biology. Therefore, using these concepts, the present algorithm has been developed based on the stochastic distribution of points in a given space by Defined probability rules.
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Fibrous Root Obtimization Algorithm
In this research, a model of
algorithm has been developed
based on the fibrous systems
pattern. The pattern is followed by
the roots of plants, the microscopic
fifibers that make up the branches,
and everything that has a capillary
behavior.
