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Computational Design Laboratory

Texas A&M University College of Engineering

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Welcome to the Computational Design Laboratory website. We are in the J. Mike Walker ’66 Department of Mechanical Engineering at Texas A&M University in the College of Engineering, and a part of the Engineering Systems Design Group.

Research Overview

Our research focuses on advancing fundamental computational methodology for the design, analysis, and operation of complex engineered systems. We are currently using our tools to address challenges in enabling self-aware unmanned aerial vehicles and their use within intelligent sensor swarms, exploiting the breadth of available information sources for conceptual design of advanced aircraft, predictive analytics for gas turbine engines using machine learning, and the autonomous design and discovery of materials and material systems.

Featured Publications

Adaptive experimental design for multi‐fidelity surrogate modeling of multi‐disciplinary systems

Jakeman, John; Friedman, Sam; Eldred, Michael; Tamellini, Lorenzo; Gorodetsky, Alex; Allaire, Douglas

Adaptive experimental design for multi‐fidelity surrogate modeling of multi‐disciplinary systems

In: International Journal for Numerical Methods in Engineering, vol. 123, iss. 12, pp. 2760-2790, 2022.

 

Reducing the Search Space for Global Minimum: A Focused Regions Identification Method for Least Squares Parameter Estimation in Nonlinear Models

Zhang, Guanglu; Allaire, Douglas; Cagan, Jonathan

Reducing the Search Space for Global Minimum: A Focused Regions Identification Method for Least Squares Parameter Estimation in Nonlinear Models Journal Article

In: ASME Journal of Computing and Information Science in Engineering, vol. 23, iss. 2, pp. 021006, 2022.

 

On the importance of microstructure information in materials design: PSP vs PP

Molkeri, Abhilash; Khatamsaz, Danial; Couperthwaite, Richard; James, Jaylen; Arróyave, Raymundo; Allaire, Douglas; Srivastava, Ankit

On the importance of microstructure information in materials design: PSP vs P 

In: Acta Materialia, vol. 223, pp. 117471, 2022.

 

Adaptive active subspace-based efficient multifidelity materials design

Khatamsaz, Danial; Molkeri, Abhilash; Couperthwaite, Richard; James, Jaylen; Arróyave, Raymundo; Srivastava, Ankit; Allaire, Douglas

Adaptive active subspace-based efficient multifidelity materials design

In: Materials & Design, vol. 209, pp. 110001, 2021.

Contact Information

Douglas Allaire
Associate Professor and Sallie and Don Davis ’61 Faculty Fellow
J. Mike Walker ’66 Department of Mechanical Engineering
Texas A&M University
dallaire@tamu.edu

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