R
Rajkumar Vaidyanathan
Researcher at University of Florida
Publications - 22
Citations - 2947
Rajkumar Vaidyanathan is an academic researcher from University of Florida. The author has contributed to research in topics: Injector & Variables. The author has an hindex of 10, co-authored 22 publications receiving 2671 citations.
Papers
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Journal ArticleDOI
Surrogate-based Analysis and Optimization
Nestor V. Queipo,Raphael T. Haftka,Wei Shyy,Tushar Goel,Rajkumar Vaidyanathan,P. Kevin Tucker +5 more
TL;DR: The multi-objective optimal design of a liquid rocket injector is presented to highlight the state of the art and to help guide future efforts.
Journal ArticleDOI
Response surface approximation of Pareto optimal front in multi-objective optimization
TL;DR: A systematic approach to approximate the Pareto optimal front (POF) by a response surface approximation is presented, and the approximated POF can help visualize and quantify trade-offs among objectives to select compromise designs.
Book
Global Design Optimization for Aerodynamics and Rocket Propulsion Components
TL;DR: In this paper, a review of recent progress made in establishing suitable global optimization techniques employing neural network and polynomial-based response surface methodologies is presented, including techniques for construction of the response surface, design of experiment techniques for supplying information in an economical manner, optimization procedures and multilevel techniques, and assessment of relative performance between polynomials and neural networks.
Proceedings ArticleDOI
Response Surface Approximation of Pareto Optimal Front in Multi-Objective Optimization
TL;DR: A systematic approach is presented to approximate the Pareto optimal front (POF) by a response surface approximation, which can help visualize and quantify trade-offs among objectives to select compromise designs.
Journal ArticleDOI
Sensitivity Evaluation of a Transport-Based Turbulent Cavitation Model
TL;DR: In this article, a sensitivity analysis is done for turbulent cavitating flows using a pressure-based Navier-Stokes solver coupled with a phase volume fraction transport model and non-equilibrium k-e turbulence closure.