Application of Global Optimization to the Estimation of Surface-Consistent Residual Statics

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Since the objective function that is used to estimate surface-consistent residual statics can have many local maxima, a global optimization method is required to find the optimum values for the residual statics. As reported in several recent papers, we had developed a new method (TRUST) for solving global optimization problems and had demonstrated it was superior to all competing methods for a standard set of nonconvex benchmark problems. The residual statics problem can be very large with hundreds or thousands of parameters, and large global optimization problems are much harder to solve than small problems. To solve the very challenging ... continued below

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35 p.

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Reister, D. B.; Oblow, E. M.; Barhen, J. & DuBose, J. B. October 1999.

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Description

Since the objective function that is used to estimate surface-consistent residual statics can have many local maxima, a global optimization method is required to find the optimum values for the residual statics. As reported in several recent papers, we had developed a new method (TRUST) for solving global optimization problems and had demonstrated it was superior to all competing methods for a standard set of nonconvex benchmark problems. The residual statics problem can be very large with hundreds or thousands of parameters, and large global optimization problems are much harder to solve than small problems. To solve the very challenging residual statics problem, we have made several significant advances in the mathematical description of the residual statics problem (derivation of two novel stack power bounds and disaggregation of the original problem into a large number of small problems). Using the enhanced version of TRUST, we have performed extensive simulations on a realistic sample problem that had been artificially created by large static disruptions. Our simulations have demonstrated that TRUST can reach many plausible distinct ''solutions'' that could not be discovered by more conventional approaches. An unexpected result was that high values of the stack power may be eliminate cycle skips.

Physical Description

35 p.

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OSTI as DE00014111

Medium: P; Size: 35 pages

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  • Other Information: PBD: 1 Oct 1999

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  • Report No.: ORNL/TM-1999/102
  • Grant Number: AC05-96OR22464
  • DOI: 10.2172/14111 | External Link
  • Office of Scientific & Technical Information Report Number: 14111
  • Archival Resource Key: ark:/67531/metadc621320

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Office of Scientific & Technical Information Technical Reports

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  • October 1999

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  • June 16, 2015, 7:43 a.m.

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  • April 12, 2017, 1:46 p.m.

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Reister, D. B.; Oblow, E. M.; Barhen, J. & DuBose, J. B. Application of Global Optimization to the Estimation of Surface-Consistent Residual Statics, report, October 1999; Tennessee. (digital.library.unt.edu/ark:/67531/metadc621320/: accessed December 10, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.