Deep Trails: Coupling of structural optimization and self-organization processes for the computational design of composite surface tectonics

This research explores the constructive and expressive capabilities of stigmergic-based creasing patterns integrating structural and ornamental conditions in fibre-composite surface tectonics, generated by the reciprocal influence of multi-agent systems and NonLinear Time History (NLHT) dynamic structural simulation. Building upon precedents on the use of agent bodies and behavioural tectonics such as the work of Roland Snooks, our approach employs NLTH simulation for the dynamical assessment of the structural failure modes to provide information for agents behaviour and a comparative assessment of the bodies pattern contribution. Considering the obtained results, insights gained on the structural behaviour of multi-agent composite surface tectonics while attempting to explore its embedded architectural, morphological and expressive qualities are discussed.