ResultsSeveral two- and three-dimensional isogeometric shape optimization examples, all of which are non-self adjoint problems, are presented in figure3, 4 and 5. The objective in these problems is the stress concentration reduction.

Isogeometric Approach for Shape Optimization of Aerospace Structures

IntroductionTraditionally, most of the aerospace structures are geometrically represented by Non-Uniform Rational B-Splines (NURBS) functions and subsequently analyzed in finite element programs that rely on Lagrange polynomials. The conversion from NURBS to Lagrange polynomials is significantly costly and prone to loss of information. In contrast, isogeometric analysis allows a seamless transition from design to analysis based on common NURBS-based functions[1]. This unified geometric representation provides a natural environment to develop shape optimization[2]. Typical applications for aerospace structures include minimizing structural compliance and buckling design. The design sensitivity analysis for these objectives is facilitated due to the fact that these are self-adjoint problems. However, optimization problems of practical interest, such as stress concentration reduction and passive control, are non-self adjoint.

Ongoing workThe passive control problem for the aerospace structures with a dynamic load will be carried out based on the work presented above. A preliminary result is shown in figure 6.

References- [1] J. A. Cottrell, T. J. R. Hughes, and Y. Bazilevs. Isogeometric analysis: Toward the integration of CAD and FEA. John Wiley & Sons, Ltd., Singapore,

2009.- [2] A. P. Nagy. Isogeometric design optimization. Ph.D. thesis, Delft University of Technology, Delft, 2011.- [3] K. Dems, Z. Mroz. Variational approach by means of adjoint systems to structural optimization and sensitivity analysis II, structure shape

variation. Int. J. Solids & Struct., 20, 527-552, 1984.- [4] K. K. Choi, N. H. Kim. Structural Sensitivity Analysis and Optimization 1: Linear Systems. Springer-Verlag New York Inc. (United States), 2005.- [5] S. Turteltaub. Optimal control and optimization of functionally graded materials for thermomechanical processes. Int. J. Solids & Struct., 39,

3175–3197, 2002.

MethodologyIsogeometric analysis has been applied to shape optimization where NURBS control points have been used as design variables to characterize the boundary shape (see fig.1). The analytical sensitivities of arbitrary objective functionals over shape parameters, in many cases, are difficult to obtain. By using the adjoint method, the sensitivity can be expressed in terms of the variation of the shape parameters and the corresponding primary and adjoint fields (see fig.2). The advantage of the isogeometric approach is that it minimizes discretization errors present in the traditional approach which uses different geometrical descriptions for design and analysis.

PhD Candidate: Zhenpei WangDepartment: ASMSection: ASCMSupervisor: Sergio Turteltaub Promoter: Start date: 07-9-2011Funding: CSCCooperations:

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Problem StatementThe objective of this project is the development and numerical implementation of a shape optimization procedure for general objective functional within the framework of isogeometric analysis.

Figure 1: isogeometric shape design optimization[2]

Figure 2: (a) Redesign and deformation process of the body, (b) Primary structure of

varying shape, (c) Adjoint structure for stress functional[3]

Figure 3: Optimal shape of an orifice in a plate under (a) bi-axial traction and (b) shear

traction

Figure 4: Two-dimensional plane stress fillet design

Figure 5: Three-dimensional fillet design

Figure 6: (b) shows a optimal hole design in a plate under variable bi-axial traction defined in

(a).

(b)

(a)

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(a)

(b)

Design control points