Nonlinear Homogenization and Its Applications to Composites, Polycrystals and Smart Materials
DOI: 10.1007/1-4020-2623-4_7
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Homogenization and Design of Functionally Graded Composites for Stiffness and Strength

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Cited by 4 publications
(7 citation statements)
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“…This geometry typifies the junctions between composite substructures and possesses reentrant corners seen in lap joints and junctions of struts. We conclude by noting that the theoretical basis for the approach given here has been established for three dimensional structural design using multiphase locally periodic composites in the presence of point wise stress constraints see ( [21], Theorems 5.1 and 5.2). For locally layered microstructures the corresponding theory is presented in [29].…”
mentioning
confidence: 82%
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“…This geometry typifies the junctions between composite substructures and possesses reentrant corners seen in lap joints and junctions of struts. We conclude by noting that the theoretical basis for the approach given here has been established for three dimensional structural design using multiphase locally periodic composites in the presence of point wise stress constraints see ( [21], Theorems 5.1 and 5.2). For locally layered microstructures the corresponding theory is presented in [29].…”
mentioning
confidence: 82%
“…This Proposition is established in [21]. The homogenized design formulation together with Proposition 2.1 provide an inverse homogenization method for identifying microstructures that satisfy point wise stress constraints while delivering a torsional rigidity close to that given by the optimal designθ f for the homogenized design problem.…”
Section: Identification Of Graded Fiber Design From the Homogenized Dmentioning
confidence: 93%
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“…We pick an open subset S ⊂ Ω of interest and the gradient constraint for the multi-scale problem is written in terms of the modulation function. We set When the constraint M is chosen such that there exists a control β ∈ Ad γ for which C i (β) ≤ M then an optimal design β * exists for the design problem (6.8), this is established in [28], [22]. The optimal design β * specifies characteristic functions χ i * (x, y) = χ i (β * (x), y) from which we recover continuously graded microgeometries χ i * kj (x, n j x) and coefficient matrices A * ,kj (x, n j x) of the form (5.5).…”
Section: Continuously Graded Microstructuresmentioning
confidence: 99%