Keshtegar, Behrooz and Hao, Peng (2018) Reliability analysis of aircraft shell problemsanalysis. Technical Report. University of Zabol.
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Abstract
Introduction For the engineering optimization problems characterized by high computational cost and multiple local optima, the combination use of surrogate model and meta-heuristic algorithm is increasingly popular. Thin-walled structures are widely used in the aerospace industry due to high specific strength and stiffness. To meet various function requirements, cutouts are usually inevitable for this type of load-carrying components in aerospace structures, which may significantly reduce the load-carrying capacity. As a common way, stiffeners have been extensively used for cutout reinforcement. In general, structural weight is of great significance for aerospace structures; therefore, lightweight design optimization of thin-walled structures, especially for stiffened panels with cutouts, becomes ever more crucial. In the practical design, stiffened panels are optimized for the minimum weight under buckling or/and strength constraints. Nevertheless, once meta-heuristic algorithms are employed, the computational cost of structural design optimization would increase sharply, especially for buckling problems. To release the computational burden, surrogate model is a powerful tool to solve complicated engineering problems. the prediction accuracy of surrogate model-based RSM is usually depended on the selection input data, which may produce a very low fidelity for poor input data. Especially for the optimization of curvilinearly stiffened panels, because the design space is highly nonlinear, it is crucial to develop an effective surrogate model to combine with an advanced global optimization method. Compared to deterministic design, design under uncertainty has been ever more popular in the practice engineering, which can obtain the optimum design with a prescribed reliability level. Until now, there are several types of reliability analysis methods to evaluate the reliability level. the accuracy is also an essential issue to obtain the optimum results with reliability levels. The inverse reliability methods using PMA formula with relatively accurate and stable results as well as efficient computational effort can be interested for successful applications in RBDO problems with highly nonlinear constraints.
| Item Type: | Monograph (Technical Report) |
|---|---|
| Subjects: | T Technology > TL Motor vehicles. Aeronautics. Astronautics |
| Depositing User: | Mrs najmeh khajeh |
| Date Deposited: | 30 Nov 2021 07:53 |
| Last Modified: | 30 Nov 2021 07:53 |
| URI: | http://eprints.uoz.ac.ir/id/eprint/2903 |
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