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Technical University of Crete
Technical University of Crete
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| URI | http://purl.tuc.gr/dl/dias/74AFBD55-279B-4240-AB98-2E2CA85729F6 | - |
| Identifier | https://www.eccomasproceedia.org/conferences/eccomas-congresses/eccomas-congress-2016/2012 | - |
| Identifier | https://doi.org/10.7712/100016.2012.11106 | - |
| Language | en | - |
| Extent | 13 pages | en |
| Title | Shakedown analysis of plate bending under stochastic uncertainity by chance constraint programming | en |
| Creator | Trân Ngoc Trình | en |
| Creator | Trần Thanh Ngoc | en |
| Creator | Matthies Hermann Georg | en |
| Creator | Stavroulakis Georgios | en |
| Creator | Σταυρουλακης Γεωργιος | el |
| Creator | Staat Manfred | en |
| Publisher | National Technical University of Athens | en |
| Content Summary | In this paper we propose a stochastic programming to analyze limit and shakedown of plate bending under uncertainty conditions of strength. The Kirchhoff plate theory is used to formulate chance constrained problems. Based on the duality theory, the shakedown load multiplier formulated by the kinematic theorem is proved actually to be the dual form of the shakedown load multiplier formulated by static theorem. In this investigation a dual chance constrained programming algorithm is developed to calculate simultaneously both the upper and lower bounds of the plastic collapse limit and the shakedown limit. | en |
| Type of Item | Πλήρης Δημοσίευση σε Συνέδριο | el |
| Type of Item | Conference Full Paper | en |
| License | http://creativecommons.org/licenses/by/4.0/ | en |
| Date of Item | 2018-11-22 | - |
| Date of Publication | 2016 | - |
| Subject | Chance constrained programming | en |
| Subject | Limit analysis | en |
| Subject | Non-linear programming | en |
| Subject | Shakedown analysis | en |
| Subject | Stochastic programming | en |
| Bibliographic Citation | N. T. Trân, T. N. Trân, H.G. Matthies, G. E. Stavroulakis and M. Staat, "Shakedown analysis of plate bending under stochastic uncertainity by chance constraint programming," in 7th European Congress on Computational Methods in Applied Sciences and Engineering, 2016, pp. 3007-3019. doi: 10.7712/100016.2012.11106 | en |
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