Optimization of stiffened pannels based on quasi-analytical strength response functions
Апстракт
Stiffened panels are basic constituents of wide scope of structures, their optimization being the focal point of optimization of any such structure as a whole. The main obstacle in application of sophisticated optimization software tools of today for that task is the lack of general formulation of relations between load and response parameters of such models. They are necessary to define programmable failure calculation as a built-in strength assessment module in any closed, repetitive optimization algorithm. Basic authors' idea is to overcome that problem using Bubnov's quasi-analytical formulae developed for analysis of ship hull plating grillages more than a century ago. In the first phase of this research, Bubnov's formulae were incorporated in Monte Carlo optimization algorithm, forming BiM - Bubnov in Monte Carlo procedure for optimization of laterally loaded stiffened panels. Results of this research are published in [1]. In this paper, attempt is made to further simplify the pr...ocedure by means of using extremely user friendly Excel Solver for optimization tasks. As a result, BiES - Bubnov in Excel Solver, a closed, programmable algorithm for optimization of laterally loaded stiffened panels is developed. The performance of the algorithm is tested on series of examples alternatively analyzed using FEM.
Кључне речи:
Weight optimization / Stiffened panel / Excel solver / Engineering optimizationИзвор:
OPT-i 2014 - 1st International Conference on Engineering and Applied Sciences Optimization, Proceedi, 2014, 208-220Издавач:
- National Technical University of Athens
Scopus: 2-s2.0-84911908197
Колекције
Институција/група
Mašinski fakultetTY - CONF AU - Motok, Milorad AU - Momčilović, Nikola PY - 2014 UR - https://machinery.mas.bg.ac.rs/handle/123456789/1963 AB - Stiffened panels are basic constituents of wide scope of structures, their optimization being the focal point of optimization of any such structure as a whole. The main obstacle in application of sophisticated optimization software tools of today for that task is the lack of general formulation of relations between load and response parameters of such models. They are necessary to define programmable failure calculation as a built-in strength assessment module in any closed, repetitive optimization algorithm. Basic authors' idea is to overcome that problem using Bubnov's quasi-analytical formulae developed for analysis of ship hull plating grillages more than a century ago. In the first phase of this research, Bubnov's formulae were incorporated in Monte Carlo optimization algorithm, forming BiM - Bubnov in Monte Carlo procedure for optimization of laterally loaded stiffened panels. Results of this research are published in [1]. In this paper, attempt is made to further simplify the procedure by means of using extremely user friendly Excel Solver for optimization tasks. As a result, BiES - Bubnov in Excel Solver, a closed, programmable algorithm for optimization of laterally loaded stiffened panels is developed. The performance of the algorithm is tested on series of examples alternatively analyzed using FEM. PB - National Technical University of Athens C3 - OPT-i 2014 - 1st International Conference on Engineering and Applied Sciences Optimization, Proceedi T1 - Optimization of stiffened pannels based on quasi-analytical strength response functions EP - 220 SP - 208 UR - https://hdl.handle.net/21.15107/rcub_machinery_1963 ER -
@conference{ author = "Motok, Milorad and Momčilović, Nikola", year = "2014", abstract = "Stiffened panels are basic constituents of wide scope of structures, their optimization being the focal point of optimization of any such structure as a whole. The main obstacle in application of sophisticated optimization software tools of today for that task is the lack of general formulation of relations between load and response parameters of such models. They are necessary to define programmable failure calculation as a built-in strength assessment module in any closed, repetitive optimization algorithm. Basic authors' idea is to overcome that problem using Bubnov's quasi-analytical formulae developed for analysis of ship hull plating grillages more than a century ago. In the first phase of this research, Bubnov's formulae were incorporated in Monte Carlo optimization algorithm, forming BiM - Bubnov in Monte Carlo procedure for optimization of laterally loaded stiffened panels. Results of this research are published in [1]. In this paper, attempt is made to further simplify the procedure by means of using extremely user friendly Excel Solver for optimization tasks. As a result, BiES - Bubnov in Excel Solver, a closed, programmable algorithm for optimization of laterally loaded stiffened panels is developed. The performance of the algorithm is tested on series of examples alternatively analyzed using FEM.", publisher = "National Technical University of Athens", journal = "OPT-i 2014 - 1st International Conference on Engineering and Applied Sciences Optimization, Proceedi", title = "Optimization of stiffened pannels based on quasi-analytical strength response functions", pages = "220-208", url = "https://hdl.handle.net/21.15107/rcub_machinery_1963" }
Motok, M.,& Momčilović, N.. (2014). Optimization of stiffened pannels based on quasi-analytical strength response functions. in OPT-i 2014 - 1st International Conference on Engineering and Applied Sciences Optimization, Proceedi National Technical University of Athens., 208-220. https://hdl.handle.net/21.15107/rcub_machinery_1963
Motok M, Momčilović N. Optimization of stiffened pannels based on quasi-analytical strength response functions. in OPT-i 2014 - 1st International Conference on Engineering and Applied Sciences Optimization, Proceedi. 2014;:208-220. https://hdl.handle.net/21.15107/rcub_machinery_1963 .
Motok, Milorad, Momčilović, Nikola, "Optimization of stiffened pannels based on quasi-analytical strength response functions" in OPT-i 2014 - 1st International Conference on Engineering and Applied Sciences Optimization, Proceedi (2014):208-220, https://hdl.handle.net/21.15107/rcub_machinery_1963 .