Advancing Aerospace Modeling and Simulation 
Welcome to the Computational Aeromechanics Group (CAMG) at Colorado State University. Founded and led by Dr. Jacob Turner, an assistant professor in the Department of Mechanical Engineering, our group is based at the Powerhouse Energy Campus in Fort Collins, Colorado.
We specialize in Direct Numerical Simulations (DNS) of fluid flows using several in-house research codes incorporating Immersed Boundary Methods (IBM) for moving boundary problems, high-order accurate Computational Aeroacoustics (CAA) and Lattice Boltzmann Method (LBM). Our lab has dedicated access to 12 CPU nodes in a shared high-performance computing cluster, supporting large-scale simulations and advanced analyses.
Our research focuses on the development and application of novel computational fluid dynamics codes to simulate unsteady aerodynamics, aeroacoustics, and aeroelasticity problems.
We utilize high-fidelity CFD to explore the flow physics underlying unsteady aerodynamic behavior, with implications for performance, noise and fluid-structure interactions.
Our research advances the understanding of flow physics to enable more efficient, optimized, and safer aircraft systems, providing significant benefits to the economy and defense. Additionally, our work in aeroacoustics supports design optimization and noise mitigation strategies, resulting in quieter vehicles, turbines and improved public health.
We are interested in collaborating with industrial partners to develop flow control strategies, evaluate performance, and contribute to design optimization. Please contact us if you believe our expertise in high-fidelity modeling could support your project.
(Fall 24, 25, Spring 25) Introduction to fluid mechanics for undergraduate mechanical and biomedical engineers
We are looking to hire motivated graduate and undergraduate students interested in using modeling, simulation and machine learning techniques to tackle problems related to aircraft and automotive noise, fluid-structure interaction and flow control.
2025
