Abstract
In this paper, we pose a configurational optimization problem to derive the sensitivity of an arbitrary objective to arbitrary motions of one or more finite-sized heterogeneities inserted into a homogeneous domain. In the derivation, we pose an adjoint boundary value problem and utilize the adjoint fields as well as the definition of a generalized Eshelby energy-momentum tensor for arbitrary objectives to express the final result. The resulting sensitivity may be expressed as surface integrals with jump terms across the heterogeneity boundaries that vanish on homogeneous domains yielding generalized conservation laws for arbitrary objectives. We then derive the specific path-independent forms of the sensitivity of the objective to arbitrary translation, rotation or scaling of the inserted heterogeneities. We next illustrate the application of the derived sensitivities to specific objectives common to fracture mechanics as well as to structural optimization. The chosen objectives include strain energy, trade-off between structural compliance and mass, and an arbitrary objective defined entirely on the boundary of the domain. We show that for the strain energy objective, the derived sensitivities naturally yield the classical J-, L- and M-integrals of fracture mechanics. The theory is implemented within an Isogeometric computational framework for fracture modeling termed Enriched Isogeometric analysis (EIGA). The EIGA computational technique is used to optimally identify worst-case locations for line cracks that are inserted into the domain as well as to optimally mitigate the risk of fracture due to a crack at its worst-case location by sequentially inserting and optimizing the configurations of circular/elliptical stiff/soft inclusions.
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References
Arora J (1993) An exposition of the material derivative approach for structural shape sensitivity analysis. Comput Methods Appl Mech Eng 105(1):41
Arora J, Cardoso J (1992) Variational principle for shape design sensitivity analysis. AIAA J 30:2
Bendsøe MP, Kikuchi N (1988) Generating optimal topologies in structural design using a homogenization method. Comput Methods Appl Mech Eng 71(2):197. https://doi.org/10.1016/0045-7825(88)90086-2
Bennett M, Botkin GMCR (1986) Laboratories, The optimum shape: automated structural design. Plenum Press, New York
Budiansky B, O’Connell R (1976) Elastic moduli of a cracked solid. Int J Solids Struct 12:81
Budiansky B, Rice J (1973) Conservation laws and energy-release rates. J Appl Mech 40:201
Cea J, Garreau S, Guillaume P, Masmoudi M (2000) The shape and topological optimizations connection. Comput Methods Appl Mech Eng 188:713
Chang J, Chien A (2002) Evaluation of M-integral for anisotropic elastic media with multiple defects. Int J Fract 114:267
Chen YH (2001) Ballistic-diffusive heat-conduction equations. Int J Solids Struct 38:3193
Chen CP, Chen Y, Subbarayan G (2021) Singular enrichment for multi-material corners with application to assessing the risk of fracture in semiconductor devices. Eng Fract Mech 248:107739. https://doi.org/10.1016/j.engfracmech.2021.107739
Da D, Qian X (2020) Fracture resistance design through biomimicry and topology optimization. Extreme Mech Lett 40:100890. https://doi.org/10.1016/j.eml.2020.100890
Dems K, Mroz Z (1983) Variational approach by means of adjoint systems to structural optimization and sensitivity analysis-I: variation of material parameters within fixed domain. Int J Solids Struct 19:677
Dems K, Mroz Z (1984) Variational approach by means of adjoint systems to structural optimization and sensitivity analysis-II: structure shape variation. Int J Solids Struct 20:527
Dems K, Mróz Z (1986) On a class of conservation rules associated with sensitivity analysis in linear elasticity. Int J Solids Struct 22(7):737
Eschenauer H, Kobelev V, Schumacher A (1974) Bubble method for topology and shape optimization of structures. Struct Optim 8:42
Eshelby J (1956) The continuum theory of lattice defects. Solid State Phys 3:79
Freund L (1978) Stress intensity factor calculations based on a conservation integral. Int J Solids Struct 14(1):241
Haug V, E.J. and Choi, K.K. and Komkov, (1986) Design sensitivity analysis of structural systems. Design sensitivity analysis of structural systems. Academic Press, Orlando
He M, Hutchinson J (1981) The penny-shaped crack and the plane strain crack in an infinite body of power-law material. J Appl Mech 48:830
Herrmann A, Herrmann G (1981) On energy-release rates for a plane crack. J Appl Mech 48:525
Hughes T, Cottrell J, Bazilevs Y (2005) Isogeometric analysis: CAD, finite elements, NURBS, exact geometry and mesh refinement. Comput Methods Appl Mech Eng 194(39–41):4135
Irwin G (1957) Relation of stresses near a crack to the crack extension force. In 9th international congress on applied mechanics (University of Brussels), pp. 245–251
Irwin G (1957) Analysis of stresses and strains near the end of a crack traversing a plate. J Appl Mech 24:361
Knowles J, Sternberg E (1972) On a class of conservation laws in linearized and finite elastostatics. Arch Ration Mech Anal 44:187–211
Lin HY, Subbarayan G (2013) Optimal topological design through insertion and configuration of finite-sized heterogeneities. Int J Solids Struct 50(2):429
Luo Y, Subbarayan G (2007) A study of multiple singularities in multi-material wedges and their use in analysis of microelectronic interconnect structures. Eng Fract Mech 74(3):416
Natekar D, Zhang X, Subbarayan G (2004) Constructive solid analysis: a hierarchical, geometry-based meshless analysis procedure for integrated design and analysis. Comput Aid Des 36(5):473
Park J, Earmme Y (1986) Application of conservation integrals to interfacial crack problems. Mech Mater 5(3):261
Pironneau O (1984) Optimal shape design for elliptic systems. Springer, Berlin
Renken F, Subbarayan G (2000) NURBS-based solutions to inverse boundary problems in droplet shape prediction. Comput Methods Appl Mech Eng 190(11–12):1391
Rice J (1968) A path independent integral and the approximate analysis of strain concentration by notches and cracks. J Appl Mech 35:379
Russ JB, Waisman H (2019) Topology optimization for brittle fracture resistance. Comput Methods Appl Mech Eng 347:238. https://doi.org/10.1016/j.cma.2018.12.031
Russ JB, Waisman H (2020) A novel topology optimization formulation for enhancing fracture resistance with a single quasi-brittle material. Int J Numer Methods Eng 121(13):2827. https://doi.org/10.1002/nme.6334
Seweryn A, Molski K (1996) Elastic stress singularities and corresponding generalized stress intensity factors for angular corners under various boundary conditions. Eng Fract Mech 55(4):529
Sokolowski J, Zochowski A (1999) On the topological derivative in shape optimization. SIAM J Control Optim 37(4):1251
Sokolowski J, Zolesio J (1992) Introduction to shape optimization: shape sensitivity analysis. Springer series in computational mathematics. Springer, Berlin
Subbarayan G (1991) Bone construction and reconstruction: A variational model and its applications. Ph.D. thesis, Cornell University, Ithaca, NY
Tambat A, Subbarayan G (2012) Isogeometric enriched field approximations. Comput Methods Appl Mech Eng 245–246:1
Xia L, Da D, Yvonnet J (2018) Topology optimization for maximizing the fracture resistance of quasi-brittle composites. Comput Methods Appl Mech Eng 332:234. https://doi.org/10.1016/j.cma.2017.12.021
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Appendix A
Appendix A
1.1 A.1 The Divergence of Generalized Eshelby Energy-Momentum Tensor
We derive below the general form of the divergence \(\nabla \cdot \varvec{\Sigma }\) and show that the result reduces to \(\nabla \cdot \varvec{\Sigma }=0\) if \(\mathbf {C}\) and \(\mathbf {b}\) are homogeneous in their domains.
1.2 A.2 Simplification for Rotational Transformation
Rotation is described by \( \mathbf {v}=\mathbf {W}\mathbf {x}= \mathbf {w}\times \mathbf {x}\) and \( \nabla \mathbf {v}= \mathbf {W}^{T} \) in \(\Omega _s\).
1.3 A.3 Simplification for Scaling Transformation
Scaling results when \( \mathbf {v}= \alpha \mathbf {x}\) and \( \nabla \mathbf {v}= \alpha \mathbf {I} \) in \(\Omega _s\), where \(\alpha \) is an expansion parameter.
where, \(d_m\) is the problem dimension (2 or 3).
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Lee, CS., Chen, CP., Lin, HY. et al. Conservation laws for arbitrary objectives with application to fracture resistant design. Int J Fract 238, 35–56 (2022). https://doi.org/10.1007/s10704-022-00649-9
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DOI: https://doi.org/10.1007/s10704-022-00649-9