5 papers
Reachability-Based Design Optimization for Aircraft Maneuverability
Steven Nguyen, Nicholas Orndorff, Jorge Cortés +1
This paper presents a method for incorporating control analysis into design optimization for highly-maneuverable aircraft. By studying reachable sets for aircraft dynamics, we ensu…
Extension of graph-accelerated non-intrusive polynomial chaos to high-dimensional uncertainty quantification through the active subspace method
Bingran Wang, Nicholas C. Orndorff, Mark Sperry +1
The recently introduced graph-accelerated non-intrusive polynomial chaos (NIPC) method has shown effectiveness in solving a broad range of uncertainty quantification (UQ) problems…
Air-taxi trajectory optimization with aerodynamic and motor models
Nicholas C. Orndorff, John T. Hwang
To fulfill the vision for large-scale urban air mobility, air-taxi concepts must be carefully designed and optimized for their intended mission. Proposed air-taxi missions contain…
A gradient-enhanced univariate dimension reduction method for uncertainty propagation
Bingran Wang, Nicholas C. Orndorff, Mark Sperry +1
The univariate dimension reduction (UDR) method stands as a way to estimate the statistical moments of the output that is effective in a large class of uncertainty quantification (…
Graph-accelerated non-intrusive polynomial chaos expansion using partially tensor-structured quadrature rules for uncertainty quantification
Bingran Wang, Nicholas C. Orndorff, John T. Hwang
Recently, the graph-accelerated non-intrusive polynomial chaos (NIPC) method has been proposed for solving uncertainty quantification (UQ) problems. This method leverages the full-…