Thermal Reactive Topography - Artifitial Evolutionary Design
¨Material behaviour simulation and prediction¨
This experimentation aims to simulate and predict future behaviours of an expandable material through controlled thermal gradients.
Utilizing Genetic algorithms, artificial neural networks and machine learning processes our simulation translates multiple case studies into the prediction of possible material characteristics.
By implementing deterministic target values we are attempting to obtain feedback OF optimized point heat locations.
All the elements of the scripts are adaptative and live changing for emulating the real behavior of the genetic behavior and materiality.
This begins to frame an understanding of the material in relationship to heat and future topographic and expansive performance.
