2026-09-19T19:59:31Z https://www.ideals.illinois.edu/oai-pmh

oai:www.ideals.illinois.edu:2142/44209 2023-07-11 col_2142_5131 col_2142_16359 com_2142_5130 com_2142_16358 com_2142_234

2013-05 Allison, James T. Deshmukh, Anand 2013-05-24T21:54:15Z 2013-05-24T21:54:15Z 2013-05 2013-05-24T21:54:15Z This thesis aims to explore a new paradigm for efficient solution of multi-disciplinary design optimization (MDO) of dynamic systems. Many of the MDO problems in dynamic systems design often involve computationally expensive system simulations, severely limiting their design optimization. This work demonstrates a novel method which approximates the expensive system dynamics by cheap-to-evaluate surrogate models for system derivative functions. This is advantageous to do, since it preserves the inherent nature of dynamic system to certain accuracy and enables the effi cient solution of MDO problems at the same time. The proposed method is demonstrated on a real world example of wind turbine design and obtained results are very encouraging. Item withdrawn by Mark Zulauf (zulauf@illinois.edu) on 2013-04-22T19:06:01Z Item was in collections: University of Illinois Theses & Dissertations (ID: 1) No. of bitstreams: 1 Deshmukh_Anand.pdf: 3123885 bytes, checksum: 545b0b93cdd15e7f39a00ec6991dc985 (MD5) Made available in DSpace on 2013-05-24T21:54:15Z (GMT). No. of bitstreams: 2 Anand_Deshmukh.pdf: 3123901 bytes, checksum: a21364204736f1ed6094af081bac704b (MD5) license.txt: 4064 bytes, checksum: ef16a8790c28d7fdfe2782ff831cd11f (MD5) http://hdl.handle.net/2142/44209 en Copyright 2013 Anand Deshmukh Dynamical Systems Surrogate Modeling Multidisciplinary Design Optimization Wind Turbine Design Multidisciplinary design optimization of dynamic systems using surrogate modeling approach text Industrial&Enterprise Sys Eng 1422 Industrial Engineering 0127 University of Illinois at Urbana-Champaign Thesis M.S. MS:Industrial Engineerng -UIUC 10KS0127MS