Robust design aims to achieve a state of robustness so that the performance of a design is least sensitive to the variability of uncertain variables. In this paper, a novel method of robust design is proposed using the convex model with the help of the unsatisfactory degree functions. The robustness
Optimum structural design via convex model superposition
โ Scribed by Sara Ganzerli; Chris P. Pantelides
- Publisher
- Elsevier Science
- Year
- 2000
- Tongue
- English
- Weight
- 523 KB
- Volume
- 74
- Category
- Article
- ISSN
- 0045-7949
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โฆ Synopsis
A new approach is presented for implementing a multidimensional convex model for the optimal design of structures subjected to bounded but uncertain loads. This is a non-probabilistic method for including uncertainty in the design. In previous studies, a two-stage optimization process was used to predict the eect of uncertainties, modeled using convex theory, on the response constraints. Here, a superposition method is used to ยฎnd the response of structures with load uncertainties. The convex model is implemented on the eect of the uncertain loads, i.e., the displacements and stresses. The advantage of the method is that one optimization process is eliminated, and the constraints do not need to be expressed explicitly as a function of the design variables.
๐ SIMILAR VOLUMES
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