39 research outputs found

    Three-dimensional topology optimization of auxetic metamaterial using isogeometric analysis and model order reduction

    Full text link
    In this work, we present an efficiently computational approach for designing material micro-structures by means of topology optimization. The central idea relies on using the isogeometric analysis integrated with the parameterized level set function for numerical homogenization, sensitivity calculation and optimization of the effective elastic properties. Design variables, which are level set values associated with control points, are updated from the optimizer and represent the geometry of the unit cell. We further improve the computational efficiency in each iteration by employing reduced order modeling when solving linear systems of the equilibrium equations. We construct a reduced basis by reusing computed solutions from previous optimization steps, and a much smaller linear system of equations is solved on the reduced basis. Two- and three-dimensional numerical results show the effectiveness of the topology optimization algorithm coupled with the reduced basis approach in designing metamaterials

    Inverse design of metamaterials via topology optimization

    Get PDF
    Metamaterials are artificial composites with micro-structures that are systematically designed such that the macroscopic behavior can accommodate particular functionalities or exhibit extraordinary properties, which are not commonly found in natural materials. Topology and geometry of micro-structures play an important role in characterizing the properties of the metamaterials. Inverse design of metamaterials via topology optimization methods offer new topological features and helps in achieving novel physical mechanism or high-performance functionalities. Inverse design is an iterative process, that involves numerical analysis and requires much computational resources. This dissertation proposes the methodology for designing metamaterials using topology optimization with level set functions and model order reduction methods. Level set method enables design with smooth boundaries, while the computational effort required in solving large linear system of equations is eliminated with reduced basis approximations. An example of the inverse design method from the dissertation is to find a unit cell structure that results in macroscopic properties with intended elastic modulus for instance, with negative Poisson's ratio. The other example is to enhance hydrophone performance in 1-3 piezoelectric composites. Numerical examples demonstrate that the methodology is computationally efficient and robust for designing metamaterials. Taking advantage of inverse design as a powerful tool in designing metamaterials, it is adopted in this dissertation for the waveguides design. The second part of this thesis aims to design phononic crystals that offer robust transport of mechanical waves on the interfaces. The propagating wave modes in plate-like structures are topologically protected edge states and are analogous to quantum valley hall effect and quantum spin hall effect in the electronic systems. The computational inverse design methodology adopted is through topology optimization using genetic algorithm to find optimized unit cell geometries resulting from objective functions based on band structures and wave modes. The optimized phononic crystals support wave propagation against backscattering inspite of the presence of defects.Metamaterialien sind kรผnstliche Verbundwerkstoffe mit Mikrostrukturen, die systematisch so gestaltet sind, dass das makroskopische Verhalten besondere Funktionen oder auรŸergewรถhnliche Eigenschaften aufweist, die in natรผrlichen Materialien nicht รผblich sind. Topologie und Geometrie der Mikrostrukturen spielen eine wichtige Rolle bei der Charakterisierung der Eigenschaften der Metamaterialien. Das inverse Design von Metamaterialien mittels Topologie-Optimierungsmethoden bietet neue topologische Eigenschaften und hilft bei der Erreichung neuartiger physikalischer Mechanismen oder Hochleistungsfunktionen. Inverses Design ist ein iterativer Prozess, der numerische Analysen beinhaltet und viel Rechenleistung erfordert. In dieser Dissertation wird eine Methodik fรผr den Entwurf von Metamaterialien unter Verwendung von Topologieoptimierung mit Level-Set-Funktionen und Methoden zur Reduzierung der Modellordnung vorgeschlagen. Die Level-Set-Methode ermรถglicht ein Design mit glatten Grenzen, wรคhrend der Rechenaufwand, der fรผr die Lรถsung groรŸer linearer Gleichungssysteme erforderlich ist, durch reduzierte Basisapproximationen entfรคllt. Ein Beispiel fรผr die inverse Entwurfsmethode aus der Dissertation ist die Suche nach einer Einheitszellenstruktur, die zu makroskopischen Eigenschaften mit beabsichtigtem Elastizitรคtsmodul fรผhrt, beispielsweise mit negativer Poissonzahl. Ein anderes Beispiel ist die Verbesserung der Leistung von Hydrophonen in 1-3 piezoelektrischen Verbundwerkstoffen. Numerische Beispiele zeigen, dass die Methodik fรผr die Entwicklung von Metamaterialien rechnerisch effizient und robust ist. Die Vorteile des inversen Designs als leistungsfรคhiges Werkzeug bei der Entwicklung von Metamaterialien werden in dieser Dissertation fรผr die Entwicklung von Wellenleitern genutzt. Der zweite Teil dieser Arbeit zielt darauf ab, phononische Kristalle zu entwerfen, die einen robusten Transport von mechanischen Wellen an den Grenzflรคchen ermรถglichen. Die sich ausbreitenden Wellenmoden in plattenfรถrmigen Strukturen sind topologisch geschรผtzte Randzustรคnde und entsprechen dem Quanten-Tal-Hall-Effekt und dem Quanten-Spin-Hall-Effekt in elektronischen Systemen. Die angewandte rechnerische inverse Entwurfsmethodik besteht in der Topologieoptimierung mit Hilfe eines genetischen Algorithmus, um optimierte Einheitszellengeometrien zu finden, die sich aus Zielfunktionen auf der Grundlage von Bandstrukturen und Wellenmoden ergeben. Die optimierten phononischen Kristalle unterstรผtzen die Wellenausbreitung trotz des Vorhandenseins von Defekten gegen Rรผckstreuung

    Auxetic material in biomedical applications: a systematic review

    Get PDF
    This study reviews and analyzes the different auxetic materials that have been developed in recent years. The search for research articles was carried out through one of the largest databases such as ScienceDirect, where 845 articles were collected, of which several filters were carried out to have a base of 386 articles. There are a variety of materials depending on their structure, composition, and industrial application, highlighting biomedical applications from tissue engineering, cell proliferation, skeletal muscle regeneration, transportation, bio-prosthesis to biomaterial. The present paper provides an overview of auxetic materials and its applications, providing a guide for designers and manufacturers of devices and accessories in any industry

    ๊ธฐํ•˜ํ•™์ ์œผ๋กœ ์ •๋ฐ€ํ•œ ๋น„์„ ํ˜• ๊ตฌ์กฐ๋ฌผ์˜ ์•„์ด์†Œ-์ง€์˜ค๋ฉ”ํŠธ๋ฆญ ํ˜•์ƒ ์„ค๊ณ„ ๋ฏผ๊ฐ๋„ ํ•ด์„

    Get PDF
    ํ•™์œ„๋…ผ๋ฌธ (๋ฐ•์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ๊ณต๊ณผ๋Œ€ํ•™ ์กฐ์„ ํ•ด์–‘๊ณตํ•™๊ณผ, 2019. 2. ์กฐ์„ ํ˜ธ.In this thesis, a continuum-based analytical adjoint configuration design sensitivity analysis (DSA) method is developed for gradient-based optimal design of curved built-up structures undergoing finite deformations. First, we investigate basic invariance property of linearized strain measures of a planar Timoshenko beam model which is combined with the selective reduced integration and B-bar projection method to alleviate shear and membrane locking. For a nonlinear structural analysis, geometrically exact beam and shell structural models are basically employed. A planar Kirchhoff beam problem is solved using the rotation-free discretization capability of isogeometric analysis (IGA) due to higher order continuity of NURBS basis function whose superior per-DOF(degree-of-freedom) accuracy over the conventional finite element analysis using Hermite basis function is verified. Various inter-patch continuity conditions including rotation continuity are enforced using Lagrage multiplier and penalty methods. This formulation is combined with a phenomenological constitutive model of shape memory polymer (SMP), and shape programming and recovery processes of SMP structures are simulated. Furthermore, for shear-deformable structures, a multiplicative update of finite rotations by an exponential map of a skew-symmetric matrix is employed. A procedure of explicit parameterization of local orthonormal frames in a spatial curve is presented using the smallest rotation method within the IGA framework. In the configuration DSA, the material derivative is applied to a variational equation, and an orientation design variation of curved structure is identified as a change of embedded local orthonormal frames. In a shell model, we use a regularized variational equation with a drilling rotational DOF. The material derivative of the orthogonal transformation matrix can be evaluated at final equilibrium configuration, which enables to compute design sensitivity using the tangent stiffness at the equilibrium without further iterations. A design optimization method for a constrained structure in a curved domain is also developed, which focuses on a lattice structure design on a specified surface. We define a lattice structure and its design variables on a rectangular plane, and utilize a concept of free-form deformation and a global curve interpolation to obtain an analytical expression for the control net of the structure on curved surface. The material derivative of the analytical expression eventually leads to precise design velocity field. Using this method, the number of design variables is reduced and design parameterization becomes more straightforward. In demonstrative examples, we verify the developed analytical adjoint DSA method in beam and shell structural problems undergoing finite deformations with various kinematic and force boundary conditions. The method is also applied to practical optimal design problems of curved built-up structures. For example, we extremize auxeticity of lattice structures, and experimentally verify nearly constant negative Poisson's ratio during large tensile and compressive deformations by using the 3-D printing and optical deformation measurement technologies. Also, we architect phononic band gap structures having significantly large band gap for mitigating noise in low audible frequency ranges.๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ๋Œ€๋ณ€ํ˜•์„ ๊ณ ๋ คํ•œ ํœ˜์–ด์ง„ ์กฐ๋ฆฝ ๊ตฌ์กฐ๋ฌผ์˜ ์—ฐ์†์ฒด ๊ธฐ๋ฐ˜ ํ•ด์„์  ์• ์กฐ์ธ ํ˜•์ƒ ์„ค๊ณ„ ๋ฏผ๊ฐ๋„ ํ•ด์„ ๊ธฐ๋ฒ•์„ ๊ฐœ๋ฐœํ•˜์˜€๋‹ค. ํ‰๋ฉด Timoshenko ๋น”์˜ ์„ ํ˜•ํ™”๋œ ๋ณ€ํ˜•๋ฅ ์˜ invariance ํŠน์„ฑ์„ ๊ณ ์ฐฐํ•˜์˜€๊ณ  invariant ์ •์‹ํ™”๋ฅผ ์„ ํƒ์  ์ถ•์†Œ์ ๋ถ„(selective reduced integration) ๊ธฐ๋ฒ• ๋ฐ B-bar projection ๊ธฐ๋ฒ•๊ณผ ๊ฒฐํ•ฉํ•˜์—ฌ shear ๋ฐ membrane ์ž ๊น€ ํ˜„์ƒ์„ ํ•ด์†Œํ•˜์˜€๋‹ค. ๋น„์„ ํ˜• ๊ตฌ์กฐ ๋ชจ๋ธ๋กœ์„œ ๊ธฐํ•˜ํ•™์ ์œผ๋กœ ์ •๋ฐ€ํ•œ ๋น” ๋ฐ ์‰˜ ๋ชจ๋ธ์„ ํ™œ์šฉํ•˜์˜€๋‹ค. ํ‰๋ฉด Kirchhoff ๋น” ๋ชจ๋ธ์„ NURBS ๊ธฐ์ €ํ•จ์ˆ˜์˜ ๊ณ ์ฐจ ์—ฐ์†์„ฑ์— ๋”ฐ๋ฅธ ์•„์ด์†Œ-์ง€์˜ค๋ฉ”ํŠธ๋ฆญ ํ•ด์„ ๊ธฐ๋ฐ˜ rotation-free ์ด์‚ฐํ™”๋ฅผ ํ™œ์šฉํ•˜์—ฌ ๋‹ค๋ฃจ์—ˆ์œผ๋ฉฐ, ๊ธฐ์กด์˜ Hermite ๊ธฐ์ €ํ•จ์ˆ˜ ๊ธฐ๋ฐ˜์˜ ์œ ํ•œ์š”์†Œ๋ฒ•์— ๋น„ํ•ด ์ž์œ ๋„๋‹น ํ•ด์˜ ์ •ํ™•๋„๊ฐ€ ๋†’์Œ์„ ๊ฒ€์ฆํ•˜์˜€๋‹ค. ๋ผ๊ทธ๋ž‘์ง€ ์Šน์ˆ˜๋ฒ• ๋ฐ ๋ฒŒ์น™ ๊ธฐ๋ฒ•์„ ๋„์ž…ํ•˜์—ฌ ํšŒ์ „์˜ ์—ฐ์†์„ฑ์„ ํฌํ•จํ•œ ๋‹ค์–‘ํ•œ ๋‹ค์ค‘ํŒจ์น˜๊ฐ„ ์—ฐ์† ์กฐ๊ฑด์„ ๊ณ ๋ คํ•˜์˜€๋‹ค. ์ด๋Ÿฌํ•œ ๊ธฐ๋ฒ•์„ ํ˜„์ƒํ•™์  (phenomenological) ํ˜•์ƒ๊ธฐ์–ตํด๋ฆฌ๋จธ (SMP) ์žฌ๋ฃŒ ๊ตฌ์„ฑ๋ฐฉ์ •์‹๊ณผ ๊ฒฐํ•ฉํ•˜์—ฌ ํ˜•์ƒ์˜ ํ”„๋กœ๊ทธ๋ž˜๋ฐ๊ณผ ํšŒ๋ณต ๊ณผ์ •์„ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ํ•˜์˜€๋‹ค. ์ „๋‹จ๋ณ€ํ˜•์„ ๊ฒช๋Š” (shear-deformable) ๊ตฌ์กฐ ๋ชจ๋ธ์— ๋Œ€ํ•˜์—ฌ ๋Œ€ํšŒ์ „์˜ ๊ฐฑ์‹ ์„ ๊ต๋Œ€ ํ–‰๋ ฌ์˜ exponential map์— ์˜ํ•œ ๊ณฑ์˜ ํ˜•ํƒœ๋กœ ์ˆ˜ํ–‰ํ•˜์˜€๋‹ค. ๊ณต๊ฐ„์ƒ์˜ ๊ณก์„  ๋ชจ๋ธ์—์„œ ์ตœ์†ŒํšŒ์ „ (smallest rotation) ๊ธฐ๋ฒ•์„ ํ†ตํ•ด ๊ตญ์†Œ ์ •๊ทœ์ง๊ต์ขŒํ‘œ๊ณ„์˜ ๋ช…์‹œ์  ๋งค๊ฐœํ™”๋ฅผ ์ˆ˜ํ–‰ํ•˜์˜€๋‹ค. ํ˜•์ƒ ์„ค๊ณ„ ๋ฏผ๊ฐ๋„ ํ•ด์„์„ ์œ„ํ•˜์—ฌ ์ „๋ฏธ๋ถ„์„ ๋ณ€๋ถ„ ๋ฐฉ์ •์‹์— ์ ์šฉํ•˜์˜€์œผ๋ฉฐ ํœ˜์–ด์ง„ ๊ตฌ์กฐ๋ฌผ์˜ ๋ฐฐํ–ฅ ์„ค๊ณ„ ๋ณ€ํ™”๋Š” ๊ตญ์†Œ ์ •๊ทœ์ง๊ต์ขŒํ‘œ๊ณ„์˜ ํšŒ์ „์— ์˜ํ•˜์—ฌ ๊ธฐ์ˆ ๋œ๋‹ค. ์ตœ์ข… ๋ณ€ํ˜• ํ˜•์ƒ์—์„œ ์ง๊ต ๋ณ€ํ™˜ ํ–‰๋ ฌ์˜ ์ „๋ฏธ๋ถ„์„ ๊ณ„์‚ฐํ•จ์œผ๋กœ์จ ๋Œ€ํšŒ์ „ ๋ฌธ์ œ์—์„œ ์ถ”๊ฐ€์ ์ธ ๋ฐ˜๋ณต ๊ณ„์‚ฐ์—†์ด ๋ณ€ํ˜• ํ•ด์„์—์„œ์˜ ์ ‘์„ ๊ฐ•์„ฑํ–‰๋ ฌ์— ์˜ํ•ด ํ•ด์„์  ์„ค๊ณ„ ๋ฏผ๊ฐ๋„๋ฅผ ๊ณ„์‚ฐํ•  ์ˆ˜ ์žˆ๋‹ค. ์‰˜ ๊ตฌ์กฐ๋ฌผ์˜ ๊ฒฝ์šฐ ๋ฉด๋‚ด ํšŒ์ „ ์ž์œ ๋„ ๋ฐ ์•ˆ์ •ํ™”๋œ ๋ณ€๋ถ„ ๋ฐฉ์ •์‹์„ ํ™œ์šฉํ•˜์—ฌ ๋ณด๊ฐ•์žฌ(stiffener)์˜ ๋ชจ๋ธ๋ง์„ ์šฉ์ดํ•˜๊ฒŒ ํ•˜์˜€๋‹ค. ๋˜ํ•œ ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ํœ˜์–ด์ง„ ์˜์—ญ์— ๊ตฌ์†๋˜์–ด์žˆ๋Š” ๊ตฌ์กฐ๋ฌผ์— ๋Œ€ํ•œ ์„ค๊ณ„ ์†๋„์žฅ ๊ณ„์‚ฐ ๋ฐ ์ตœ์  ์„ค๊ณ„๊ธฐ๋ฒ•์„ ์ œ์•ˆํ•˜๋ฉฐ ํŠนํžˆ ๊ณก๋ฉด์— ๊ตฌ์†๋œ ๋น” ๊ตฌ์กฐ๋ฌผ์˜ ์„ค๊ณ„๋ฅผ ์ง‘์ค‘์ ์œผ๋กœ ๋‹ค๋ฃฌ๋‹ค. ์ž์œ ํ˜•์ƒ๋ณ€ํ˜•(Free-form deformation)๊ธฐ๋ฒ•๊ณผ ์ „์—ญ ๊ณก์„  ๋ณด๊ฐ„๊ธฐ๋ฒ•์„ ํ™œ์šฉํ•˜์—ฌ ์ง์‚ฌ๊ฐ ํ‰๋ฉด์—์„œ ํ˜•์ƒ ๋ฐ ์„ค๊ณ„ ๋ณ€์ˆ˜๋ฅผ ์ •์˜ํ•˜๊ณ  ๊ณก๋ฉด์ƒ์˜ ๊ณก์„  ํ˜•์ƒ์„ ๋‚˜ํƒ€๋‚ด๋Š” ์กฐ์ •์  ์œ„์น˜๋ฅผ ํ•ด์„์ ์œผ๋กœ ํ‘œํ˜„ํ•  ์ˆ˜ ์žˆ์œผ๋ฉฐ ์ด์˜ ์ „๋ฏธ๋ถ„์„ ํ†ตํ•ด ์ •ํ™•ํ•œ ์„ค๊ณ„์†๋„์žฅ์„ ๊ณ„์‚ฐํ•œ๋‹ค. ์ด๋ฅผ ํ†ตํ•ด ์„ค๊ณ„ ๋ณ€์ˆ˜์˜ ๊ฐœ์ˆ˜๋ฅผ ์ค„์ผ ์ˆ˜ ์žˆ๊ณ  ์„ค๊ณ„์˜ ๋งค๊ฐœํ™”๊ฐ€ ๊ฐ„ํŽธํ•ด์ง„๋‹ค. ๊ฐœ๋ฐœ๋œ ๋ฐฉ๋ฒ•๋ก ์€ ๋‹ค์–‘ํ•œ ํ•˜์ค‘ ๋ฐ ์šด๋™ํ•™์  ๊ฒฝ๊ณ„์กฐ๊ฑด์„ ๊ฐ–๋Š” ๋น”๊ณผ ์‰˜์˜ ๋Œ€๋ณ€ํ˜• ๋ฌธ์ œ๋ฅผ ํ†ตํ•ด ๊ฒ€์ฆ๋˜๋ฉฐ ์—ฌ๋Ÿฌ๊ฐ€์ง€ ํœ˜์–ด์ง„ ์กฐ๋ฆฝ ๊ตฌ์กฐ๋ฌผ์˜ ์ตœ์  ์„ค๊ณ„์— ์ ์šฉ๋œ๋‹ค. ๋Œ€ํ‘œ์ ์œผ๋กœ, ์ „๋‹จ ๊ฐ•์„ฑ ๋ฐ ์ถฉ๊ฒฉ ํก์ˆ˜ ํŠน์„ฑ๊ณผ ๊ฐ™์€ ๊ธฐ๊ณ„์  ๋ฌผ์„ฑ์น˜์˜ ๊ฐœ์„ ์„ ์œ„ํ•ด ํ™œ์šฉ๋˜๋Š” ์˜ค๊ทธ์ œํ‹ฑ (auxetic) ํŠน์„ฑ์ด ๊ทน๋Œ€ํ™”๋œ ๊ฒฉ์ž ๊ตฌ์กฐ๋ฅผ ์„ค๊ณ„ํ•˜๋ฉฐ ์ธ์žฅ ๋ฐ ์••์ถ• ๋Œ€๋ณ€ํ˜• ๋ชจ๋‘์—์„œ ์ผ์ •ํ•œ ์Œ์˜ ํฌ์•„์†ก๋น„๋ฅผ ๋‚˜ํƒ€๋ƒ„์„ 3์ฐจ์› ํ”„๋ฆฐํŒ…๊ณผ ๊ด‘ํ•™์  ๋ณ€ํ˜• ์ธก์ • ๊ธฐ์ˆ ์„ ์ด์šฉํ•˜์—ฌ ์‹คํ—˜์ ์œผ๋กœ ๊ฒ€์ฆํ•œ๋‹ค. ๋˜ํ•œ ์šฐ๋ฆฌ๋Š” ์†Œ์Œ์˜ ์ €๊ฐ์„ ์œ„ํ•ด ํ™œ์šฉ๋˜๋Š” ๊ฐ€์ฒญ ์ €์ฃผํŒŒ์ˆ˜ ์˜์—ญ๋Œ€์—์„œ์˜ ๋ฐด๋“œ๊ฐญ์ด ๊ทน๋Œ€ํ™”๋œ ๊ฒฉ์ž ๊ตฌ์กฐ๋ฅผ ์ œ์‹œํ•œ๋‹ค.Abstract 1. Introduction 2. Isogeometric analysis of geometrically exact nonlinear structures 3. Isogeometric confinguration DSA of geometrically exact nonlinear structures 4. Numerical examples 5. Conclusions and future works A. Supplements to the geometrically exact Kirchhoff beam model B. Supplements to the geometrically exact shear-deformable beam model C. Supplements to the geometrically exact shear-deformable shell model D. Supplements to the invariant formulations E. Supplements to the geometric constraints in design optimization F. Supplements to the design of auxetic structures ์ดˆ๋กDocto

    Deformation patterns in a second-gradient lattice annular plate composed of "Spira mirabilis" fibers

    Get PDF
    In this paper, we aim to explore the mechanical potentialities of a material made of an orthogonal net of fibers arranged in logarithmic spirals. Therefore, an annular plate described with a second-gradient model is envisaged to evaluate the behavior of such material in a nonlinear elastic regime when large displacements and deformations occur. Several mechanical tests are performed numerically under the finite element method approximation obtained directly with a weak formulation based on the elastic energy that it is assumed to be predictive for this kind of network system of fibers. Plots reporting the mechanical characteristics in all the considered tests are provided to illustrate the overall mechanical behavior of the evaluated system
    corecore