“Nature-Based Hybrid Computational Geometry System for Optimizing the Interior Structure of Aerospace Components”
Conference:
Type(s):
Entry Number: 76
Title:
- Nature-Based Hybrid Computational Geometry System for Optimizing the Interior Structure of Aerospace Components
Presenter(s)/Author(s):
Abstract:
This talk will describe a recent collaboration between our group and the aircraft manufacturer Airbus for the design of a new aerospace component which uses cutting-edge design and fabrication techniques to radically reduce the weight of the component while maintaining the same structural performance. To achieve these results, we developed a novel computational geometry system which combines a bottom-up growth strategy based on slime mold behavior from nature, with a top-down genetic algorithm framework for optimizing the final design.
References:
R. Timothy Marler and Jasbir S. Arora. 1993. Survey of multi-objective optimization methods for engineering. Structural and multidisciplinary optimization 26, 6 (1993), 369–395.
Keyword(s):
- Metaheuristic optimization
- light-weighting
- genetic algorithm
- agent-based simulation
- computational geometry
