Zobrazeno 1 - 10
of 38
pro vyhledávání: '"Rajkumar Vaidyanathan"'
Autor:
Ofra Amir, Ayelet Eyal, Kallappa Pattada, Rajkumar Vaidyanathan, Rahul Chougule, Meir Kalech, Lior Rokach
Publikováno v:
IEEE Transactions on Systems, Man, and Cybernetics: Systems. 44:246-253
An ability to predict the mileage at failure of components in a complicated system, particularly in automobiles, is a challenging task. In the current work, a methodology for estimating the distribution of failure and survival rate of automobile comp
Autor:
Kevin Tucker, Wei Shyy, Tushar Goel, Nestor V. Queipo, Raphael T. Haftka, Rajkumar Vaidyanathan
Publikováno v:
Hong Kong University of Science and Technology
A systematic approach is presented to approximate the Pareto optimal front (POF) by a response surface approximation. The data for the POF is obtained by multi-objective evolutionary algorithm. Improvements to address drift in the POF are also presen
Autor:
Wei Shyy, Rajkumar Vaidyanathan, Nestor V. Queipo, P. Kevin Tucker, Raphael T. Haftka, Tushar Goel
Publikováno v:
Progress in Aerospace Sciences. 41:1-28
A major challenge to the successful full-scale development of modem aerospace systems is to address competing objectives such as improved performance, reduced costs, and enhanced safety. Accurate, high-fidelity models are typically time consuming and
Publikováno v:
Journal of Propulsion and Power. 20:705-717
A computational-fluid-dynamics-based design optimization approach, utilizing the response surface method, has been proposed for a single-element rocket injector. The overall goal of the effort is to demonstrate the integration of a set of computation
Publikováno v:
Journal of Propulsion and Power. 17:391-401
Theresponsesurfacemethodologyforrocketengineinjectordesignoptimizationforwhichonlymodestamounts of data may exist is examined. Two main aspects are emphasized: relative performance of quadratic and cubic polynomial response surfaces and enhancement o
Publikováno v:
Progress in Aerospace Sciences. 37:59-118
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783642172977
SEAL
SEAL
In this paper, couple of multi-objective optimization (MOO) techniques is implemented on a concept vehicle design problem. The Pareto Set Pursuing (PSP) method, proposed by Shan and Wang [1] is compared with a commercial version of the NSGA-II algori
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9c13b2cc5ec4839d7b4a65afc3a02cec
https://doi.org/10.1007/978-3-642-17298-4_78
https://doi.org/10.1007/978-3-642-17298-4_78
Publikováno v:
40th AIAA/ASME/SAE/ASEE Joint Propulsion Conference and Exhibit.
Publikováno v:
40th AIAA/ASME/SAE/ASEE Joint Propulsion Conference and Exhibit.
This paper presents sensitivity and trade-off analyses for the design of a gaseous injector used for liquid rocket propulsion whose geometry (hydrogen flow angle, hydrogen and oxygen flow areas and oxygen post tip thickness) is sought to optimize per
Publikováno v:
Hong Kong University of Science and Technology