This research project aims on redefining design techniques and process for large scale sculptural works. There has been a lot of innovation during the years in the Artistic field and particularly in the sculptural one. With the implementation during the last decade of advanced design techniques, like computational design, we find ourselves in an era where the concept of sculpture design can be completely redefined. Techniques like software development can now be paired with contemporary technologies such as algorithmic driven design, virtual reality, augmented reality and robotics, creating the strong basis for the innovation process in the Art field. The proposed research project will explore some of the above mentioned techniques and combine those to prove how the combination of non-related fields can lead to a more efficient engineering design process.

Computing in the Arts, a computational approach to Sculpture design.

OLIVA, Alfonso
2020

Abstract

This research project aims on redefining design techniques and process for large scale sculptural works. There has been a lot of innovation during the years in the Artistic field and particularly in the sculptural one. With the implementation during the last decade of advanced design techniques, like computational design, we find ourselves in an era where the concept of sculpture design can be completely redefined. Techniques like software development can now be paired with contemporary technologies such as algorithmic driven design, virtual reality, augmented reality and robotics, creating the strong basis for the innovation process in the Art field. The proposed research project will explore some of the above mentioned techniques and combine those to prove how the combination of non-related fields can lead to a more efficient engineering design process.
18-mar-2020
Inglese
Computational Design, Structural Optimization, Rhino, Rhinoceros 3D, Grasshopper, Karamba, Kangaroo, Galapagos, Structural Design, Sculpture, Sculptures, Art
IMBIMBO, Maura
POLINI, Wilma
Università degli studi di Cassino
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14242/70754
Il codice NBN di questa tesi è URN:NBN:IT:UNICAS-70754