Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Brian Chandler Barr"'
Autor:
Naresh Iyer, Nurali Virani, Glen Murrell, Hayley Stephenson, Alireza Shahkarami, Guoxiang Liu, Robert Klenner, Brian Chandler Barr
Publikováno v:
Day 1 Tue, April 09, 2019.
Optimization problems, such as optimal well-spacing or completion design, can be resolved rapidly via surrogate proxy models, and these models can be built using either data-based or physics-based methods. Each approach has its strengths and weakness
Publikováno v:
Volume 8: Turbomachinery, Parts A, B, and C.
While the mathematical derivation of the adjoint equations and their numerical implementation is well established, there is a scant discussion on the understanding of the adjoint solution by itself. As this is a field solution of similar resolution o
Autor:
Brian Chandler Barr, Sriram Shankaran
Publikováno v:
Volume 7: Turbomachinery, Parts A, B, and C.
The objective of this study is to develop and assess a gradient-based algorithm that efficiently traverses the Pareto front for multi-objective problems. We use high-fidelity, computationally intensive simulation tools (for eg: Computational Fluid Dy
Autor:
Alexander Stein, Ravikanth Avancha, Sriram Shankaran, Brian Chandler Barr, Ramakrishna Venkata Mallina
Publikováno v:
Volume 7: Turbomachinery, Parts A, B, and C.
The ability to quantify the impact of uncertainty on performance is an important facet of engineering design. Computational Fluid Dynamics (CFD) studies during the design cycle typically utilize estimates of boundary conditions, geometry and model co