“…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%
“…The homogenized design problem HP is well posed and there is an optimal designθ f provided T is chosen large enough so that D Θ contains at least one design, see [21].…”
Section: Homogenized Design Problemmentioning
confidence: 99%
“…Because of this we will refer to it as an inverse homogenization design method. The rigorous theoretical basis for this approach is given in [21] and [29].…”
An extension of current methodologies is introduced for optimization of graded microstructure subject to local stress criteria. The method is based on new multiscale stress criteria given by macrostress modulation functions. The modulation functions quantify the intensity of local stress fluctuations at the scale of the microstructure due to the imposed macroscopic stress. The methodology is illustrated for long cylindrical shafts reinforced with stiff cylindrical elastic fibers with generators parallel to the shaft. Examples are presented for shaft cross sections that possess reentrant corners typically seen in lap joints and junctions of struts. It is shown that the computational methodology delivers graded fiber microgeometries that provide overall structural rigidity while at the same time tempering the influence of stress concentrations near reentrant corners.
“…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%
“…The homogenized design problem HP is well posed and there is an optimal designθ f provided T is chosen large enough so that D Θ contains at least one design, see [21].…”
Section: Homogenized Design Problemmentioning
confidence: 99%
“…Because of this we will refer to it as an inverse homogenization design method. The rigorous theoretical basis for this approach is given in [21] and [29].…”
An extension of current methodologies is introduced for optimization of graded microstructure subject to local stress criteria. The method is based on new multiscale stress criteria given by macrostress modulation functions. The modulation functions quantify the intensity of local stress fluctuations at the scale of the microstructure due to the imposed macroscopic stress. The methodology is illustrated for long cylindrical shafts reinforced with stiff cylindrical elastic fibers with generators parallel to the shaft. Examples are presented for shaft cross sections that possess reentrant corners typically seen in lap joints and junctions of struts. It is shown that the computational methodology delivers graded fiber microgeometries that provide overall structural rigidity while at the same time tempering the influence of stress concentrations near reentrant corners.
“…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).…”
Abstract.We examine the composition of the L ∞ norm with weakly convergent sequences of gradient fields associated with the homogenization of second order divergence form partial differential equations with measurable coefficients. Here the sequences of coefficients are chosen to model heterogeneous media and are piecewise constant and highly oscillatory. We identify local representation formulas that in the fine phase limit provide upper bounds on the limit superior of the L ∞ norms of gradient fields. The local representation formulas are expressed in terms of the weak limit of the gradient fields and local corrector problems. The upper bounds may diverge according to the presence of rough interfaces. We also consider the fine phase limits for layered microstructures and for sufficiently smooth periodic microstructures. For these cases we are able to provide explicit local formulas for the limit of the L ∞ norms of the associated sequence of gradient fields. Local representation formulas for lower bounds are obtained for fields corresponding to continuously graded periodic microstructures as well as for general sequences of oscillatory coefficients. The representation formulas are applied to problems of optimal material design.Mathematics Subject Classification. 35J15, 49N60.
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