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Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. The MIT Faculty has made this article openly available. Please share how this access benefits you. Your story matters. Abstract. Many multivariate functions in engineering models vary primarily(More)
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. The MIT Faculty has made this article openly available. Please share how this access benefits you. Your story matters. Abstract. Many multivariate functions in engineering models vary primarily(More)
  • Inwxssachusettfs-N, Wei Guo, B Eng, Edward M Greitzer, H N Slater, Eric Dow +17 others
  • 2014
This thesis describes the construction of an automated gradient-based optimization process using the adjoint method and its application to centrifugal compressor return channel loss reduction. A proper objective function definition and a generalized geometry parametrization and manipulation algorithm were developed, and the appropriate adjoint equations and(More)
  • Massachusetts Wvna, Hemant Kumar Chaurasia, Thesis Supervisor, Mark Drela, Terry J Kohler, Ngoc-Cuong Nguyen +20 others
  • 2014
Numerical simulations of time-periodic flows are an essential design tool for a wide range of engineered systems, including jet engines, wind turbines and flapping wings. Conventional solvers for time-periodic flows are limited in accuracy and efficiency by the low-order Finite Volume and time-marching methods they typically employ. These methods introduce(More)
Designing and optimizing complex systems generally requires the use of numerical models. However, it is often too expensive to evaluate these models at each step of an optimization problem. Instead surrogate models can be used to explore the design space, as they are much cheaper to evaluate. Constructing a surrogate becomes challenging when different(More)
The MIT Faculty has made this article openly available. Please share how this access benefits you. Your story matters. This paper presents a computational approach for optimal robust design and toleranc-ing of turbomachinery compressor blades that are subject to geometric variability. This approach simultaneously determines the optimal blade geometry and(More)
This thesis presents an approach for building a statistical model for the structural uncertainties in Reynolds averaged Navier-Stokes (RANS) turbulence models. This approach solves an inference problem by comparing the results of RANS calculations to direct numerical simulation. The adjoint method is used to efficiently solve an inverse problem to determine(More)
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