The MINLP optimization approach to structural synthesis. Part II: Simultaneous topology, parameter and standard dimension optimization by the use of the linked two‐phase MINLP strategy
1998; Wiley; Volume: 43; Issue: 2 Linguagem: Inglês
10.1002/(sici)1097-0207(19980930)43
ISSN1097-0207
AutoresS. Kravanja, Z. Kravanja, B. S. Bedenik,
Tópico(s)Zeolite Catalysis and Synthesis
ResumoInternational Journal for Numerical Methods in EngineeringVolume 43, Issue 2 p. 293-328 Research Article The MINLP optimization approach to structural synthesis. Part II: Simultaneous topology, parameter and standard dimension optimization by the use of the linked two-phase MINLP strategy S. Kravanja, Corresponding Author S. Kravanja Stojan. [email protected] University of Maribor, Faculty of Civil Engineering, Smetanova 17, SI-2000 Maribor, SloveniaFaculty of Civil Engineering, University of Maribor, Smetanova 17, SI-2000 Maribor, SloveniaSearch for more papers by this authorZ. Kravanja, Z. Kravanja University of Maribor, Faculty of Chemistry and Chemical Engineering, Smetanova 17, SI-2000 Maribor, SloveniaSearch for more papers by this authorB. S. Bedenik, B. S. Bedenik University of Maribor, Faculty of Civil Engineering, Smetanova 17, SI-2000 Maribor, SloveniaSearch for more papers by this author S. Kravanja, Corresponding Author S. Kravanja Stojan. [email protected] University of Maribor, Faculty of Civil Engineering, Smetanova 17, SI-2000 Maribor, SloveniaFaculty of Civil Engineering, University of Maribor, Smetanova 17, SI-2000 Maribor, SloveniaSearch for more papers by this authorZ. Kravanja, Z. Kravanja University of Maribor, Faculty of Chemistry and Chemical Engineering, Smetanova 17, SI-2000 Maribor, SloveniaSearch for more papers by this authorB. S. Bedenik, B. S. Bedenik University of Maribor, Faculty of Civil Engineering, Smetanova 17, SI-2000 Maribor, SloveniaSearch for more papers by this author First published: 18 December 1998 https://doi.org/10.1002/(SICI)1097-0207(19980930)43:2 3.0.CO;2-OCitations: 10AboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onEmailFacebookTwitterLinkedInRedditWechat Abstract Part II describes the Mixed-Integer Non-linear Programming (MINLP) approach to structural synthesis where standard dimensions are added to simultaneous topology and parameter optimization. For this purpose, the mechanical superstructure has been enhanced and a special MINLP-MS model formulation for mechanical superstructures from Part I adapted to standard dimension alternatives, which give rise to complex MINLP problems that are difficult to solve. A Linked Two-Phase MINLP Strategy has been developed to efficiently accelerate the solutions of highly combinatorial MINLP problems, performed by the Modified OA/ER algorithm. In the first phase, the strategy uses only continuous dimensions making it easier to find an optimal topology. Based on the obtained global linear approximation of the superstructure, the proposed strategy in the second phase continues to perform an overall simultaneous optimization, where standard dimensions are added as additional discrete optimization alternatives. Thus, simultaneous topology, parameter and standard dimension optimization is now performed in the second phase. The synthesis of a multiple cantilever beam, introduced in Part I, was performed in accordance with the steps proposed by the MINLP optimization approach. This approach enables the obtaining of additional savings when compared to the one in Part I. © 1998 John Wiley & Sons, Ltd. References 1 O. K. Gupta and A. Ravindran, ‘Nonlinear mixed integer programming and discrete optimization’, in R. W. Mayne and K. M. Ragsdell (eds.), Progress in Engineering Optimization, New York, 1984, pp. 297–520. Google Scholar 2 E. Sandgren, ‘Nonlinear integer and discrete programming in mechanical design optimization’, ASME J. Mech. Des., 112 (2), 223–229 (1990). 10.1115/1.2912596 Web of Science®Google Scholar 3 G. N. Vanderplaats and P. B. Thanedar, ‘ A Survey of discrete variable optimization for structural design’, in Proc. 10th Conf. on Electronic Computation, 1991, pp. 173–180. Google Scholar 4 G. R. Olsen and G. N. Vanderplaats, ‘Method for nonlinear optimization with discrete design variables’, AIAA J., 27 (11), 1584–1589 (1989). 10.2514/3.10305 Web of Science®Google Scholar 5 M. Bremicker, P. Y. Papalambros and H. T. Loh, ‘Solution of mixed-discrete structural optimization problems with a new sequential linearization method’, Comput. Struct., 37 (4), 451–461 (1990). 10.1016/0045-7949(90)90035-Z Web of Science®Google Scholar 6 L. A. Schmit and C. Fleury, ‘Discrete-continuous variable structural synthesis using dual methods’, AIAA J., 18, 1515–1524 (1980). 10.2514/3.7739 Web of Science®Google Scholar 7 A. Sepulveda and J. H. Cassis, ‘An efficient algorithm for the optimum design of trusses with discrete variables’, Int. J. Numer. Meth. Engng., 23, 1111–1130 (1986). 10.1002/nme.1620230609 Web of Science®Google Scholar 8 E. Salajegheh, ‘Approximate discrete variable optimization of frame structures with dual methods’, Int. J. Numer. Meth. Engng., 39, 1607–1617 (1996). 10.1002/(SICI)1097-0207(19960515)39:9 3.0.CO;2-Z Web of Science®Google Scholar 9 I. E. Grossmann, V. T. Voudouris and O. Ghattas, ‘ Mixed-integer linear programming reformulations for some nonlinear discrete design optimization problems’, in C. A. Floudas and P. M. Pardalos (eds.), Recent Advances in Global Optimization, Princeton University Press, Princeton, 1992, pp. 478–512. Google Scholar 10 S. Kravanja, Z. Kravanja, B. S. Bedenik and S. Faith, ‘ Simultaneous topology and parameter optimization of mechanical structures’, in Ch. Hirsch, O. C. Zienkiewicz and E. Onate (eds.), Numerical Methods in Engineering '92, Proc. 1st European Conference on Numerical Methods in Engineering, Brussels, Elsevier, Amsterdam, 1992, pp. 487–495. Google Scholar 11 G. R. Kocis and I. E. Grossmann, ‘Relaxation strategy for the structural optimization of process flowsheets’, Ind. Engng. Chem. Res., 26, 1869–1880 (1987). 10.1021/ie00069a026 CASWeb of Science®Google Scholar 12 D. E. Goldberg, Genetic Algorithms in Search, Optimization and Machine Learning, Addison-Wesley, Reading MA., 1989. Google Scholar 13 D. E. Goldberg and M. P. Samtani, ‘Engineering optimization via genetic algorithms’, 9th Conf. Electronic Computation, ASCE Proc., New York, 1986, pp. 471–482. Google Scholar 14 S. Rajeev and C. S. Krishnamoorthy, ‘Discrete optimization of structures using genetic algorithms’, J. Struct. Engng., 118 (5), 1233–1250 (1992). 10.1061/(ASCE)0733-9445(1992)118:5(1233) Web of Science®Google Scholar 15 E. Sandgren, ‘ Multiple-objective, shape optimal design via genetic optimization’, in S. Hernandez, M. El-Sayed and C. A. Brebbia (eds.), Computer Aided Optimum Design of Structures IV, Structural Optimization, Computational Mechanics Publications, Southampton, Boston, 1995, pp. 3–10. Web of Science®Google Scholar 16 M. Galante, ‘Genetic algorithms as an approach to optimize real-word trusses’, Int. J. Numer. Meth. Engng., 39, 361–382 (1996). 10.1002/(SICI)1097-0207(19960215)39:3 3.0.CO;2-1 Web of Science®Google Scholar 17 Z. Kravanja and I. E. Grossmann, ‘New developments and capabilities in PROSYN—an automated topology and parameter process synthesizer’, Comput. Chem. Engng., 18, 1097–1114 (1994). 10.1016/S0098-1354(94)85027-5 CASWeb of Science®Google Scholar 18 S. Kravanja, Z. Kravanja and B. S. Bedenik, ‘ A new approach in structures optimization’, in A. Jezernik (ed.), Int. Conf. Design to Manufacture in Modern Industry, Proc., Part 2, University of Maribor, Maribor, Bled, 1993, pp. 587–593. Google Scholar 19 S. Kravanja, Z. Kravanja and B. S. Bedenik, ‘ MINLP Optimization of mechanical structures’, in J. Herskovits (ed.), Structural Optimization 93, The World Congress on Optimal Design of Structural Systems, Proc., Vol. 1, Federal University of Rio de Janeiro, Rio de Janeiro, 1993, pp. 21–28. Google Scholar 20 A. Brooke, D. Kendrick and A. Meeraus, GAMS—A User's Guide, Scientific Press, Redwood City, CA, 1988. Google Scholar 21 B. A. Murtagh and M. A. Saunders, ‘ MINOS user's guide’, Technical Report SOL 83-20, System Optimization Laboratory, Department of Operations Research, Stanford University, 1985. Google Scholar 22 OSL, Optimization Subroutine Library, From IBM, Release 2. Google Scholar 23 J. Viswanathan and I. E. Grossmann, ‘A combined penalty function and outer-aproximation method for MINLP Optimization’, Comput. Chem. Engng., 14, 769–782 (1990). 10.1016/0098-1354(90)87085-4 CASWeb of Science®Google Scholar Citing Literature Volume43, Issue230 September 1998Pages 293-328 ReferencesRelatedInformation
Referência(s)