Launch week offerEnds in00h00m00s

annual Promonthly Pro

Andrew Ning

Assistant Professor

Brigham Young University

United States

Research Interests

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Explore related searches

Professors in United States Professors in Energy Engineering Energy Engineering professors in United States

About

Dr. Andrew Ning is an Assistant Professor at Brigham Young University in the United States. His research focuses on aerodynamics and optimization methodologies, specifically in the context of wind turbine rotor design, multirotor energy systems, and interactions in aviation dynamics. Recent publications include studies on high-fidelity aerostructural optimization and meshless large-eddy simulations. Dr. Ning's work contributes significantly to advancements in robust design and optimization strategies in engineering applications.

Articles (19)

Year:

2027

Year:

2026

Year:

2026

Year:

2026

Year:

2025

Year:

2025

Year:

2024

Year:

2024

Year:

2024

Year:

2023

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Year:

2021

Year:

2021

Year:

2020

Year:

2020

Collaborators (2)

Sicheng He

Massachusetts Institute of Technology

UNITED STATES

View details

Joaquim Martins

Pauline M. Sherman Collegiate Professor

University of Michigan

UNITED STATES

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Andrew Ning

Research Interests

Make your next move.

Explore related searches

About

Articles (19)

Aero-structural-acoustic gradient-based optimization of electric ducted fans

Mission-Focused Multidisciplinary Design Optimization of Tilt-Rotor eVTOL Propulsion System

Efficient derivative computation for unsteady fatigue-constrained nonlinear aero-structural wind turbine blade optimization

Introduction to and comparison of deep learning and optimization approaches to analytical wake modeling of a tilted wind turbine

Wind Turbine Rotor Design Using High-Fidelity Aerostructural Optimization

Interactional Aerodynamics Analysis of a Multirotor Energy Kite

Geometrically exact beam theory for gradient-based optimization

Meshless Large-Eddy Simulation of Propeller–Wing Interactions with Reformulated Vortex Particle Method

Stable Vortex Particle Method Formulation for Meshless Large-Eddy Simulation

Reliable Mode Tracking for Gradient-Based Optimization with Dynamic Stability Constraints

Effects of rotor-airframe interaction on the aeromechanics and wake of a quadcopter in forward flight

Implementing Optimization Methods in the Design of IsoTruss Structures in Uniaxial Compression

GXBeam: A Pure Julia Implementation of Geometrically Exact Beam Theory

Wake expansion continuation: Multi‐modality reduction in the wind farm layout optimization problem

A model to calculate fatigue damage caused by partial waking during wind farm optimization

Reducing wind farm power variance from wind direction using wind farm layout optimization

Using blade element momentum methods with gradient-based design optimization

Development of a parameterized reduced-order vertical-axis wind turbine wake model

Efficient incorporation of fatigue damage constraints in wind turbine blade optimization

Collaborators (2)

Sicheng He

Joaquim Martins

Make your next move.