213 research outputs found

    Proceedings of the 3rd Annual Conference on Aerospace Computational Control, volume 1

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    Conference topics included definition of tool requirements, advanced multibody component representation descriptions, model reduction, parallel computation, real time simulation, control design and analysis software, user interface issues, testing and verification, and applications to spacecraft, robotics, and aircraft

    A Variational Formulation of Dissipative Quasicontinuum Methods

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    Lattice systems and discrete networks with dissipative interactions are successfully employed as meso-scale models of heterogeneous solids. As the application scale generally is much larger than that of the discrete links, physically relevant simulations are computationally expensive. The QuasiContinuum (QC) method is a multiscale approach that reduces the computational cost of direct numerical simulations by fully resolving complex phenomena only in regions of interest while coarsening elsewhere. In previous work (Beex et al., J. Mech. Phys. Solids 64, 154-169, 2014), the originally conservative QC methodology was generalized to a virtual-power-based QC approach that includes local dissipative mechanisms. In this contribution, the virtual-power-based QC method is reformulated from a variational point of view, by employing the energy-based variational framework for rate-independent processes (Mielke and Roub\'i\v{c}ek, Rate-Independent Systems: Theory and Application, Springer-Verlag, 2015). By construction it is shown that the QC method with dissipative interactions can be expressed as a minimization problem of a properly built energy potential, providing solutions equivalent to those of the virtual-power-based QC formulation. The theoretical considerations are demonstrated on three simple examples. For them we verify energy consistency, quantify relative errors in energies, and discuss errors in internal variables obtained for different meshes and two summation rules.Comment: 38 pages, 21 figures, 4 tables; moderate revision after review, one example in Section 5.3 adde

    Bias extension test for pantographic sheets: numerical simulations based on second gradient shear energies

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    We consider a bi-dimensional sheet consisting of two orthogonal families of inextensible fibres. Using the representation due to Rivlin and Pipkin for admissible placements, i.e. placements preserving the lengths of the inextensible fibres, we numerically simulate a standard bias extension test on the sheet, solving a non-linear constrained optimization problem. Several first and second gradient deformation energy models are considered, depending on the shear angle between the fibres and on its gradient, and the results obtained are compared. The proposed numerical simulations will be helpful in designing a systematic experimental campaign aimed at characterizing the internal energy for physical realizations of the ideal pantographic structure presented in this paper

    Proceedings of the Fifth NASA/NSF/DOD Workshop on Aerospace Computational Control

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    The Fifth Annual Workshop on Aerospace Computational Control was one in a series of workshops sponsored by NASA, NSF, and the DOD. The purpose of these workshops is to address computational issues in the analysis, design, and testing of flexible multibody control systems for aerospace applications. The intention in holding these workshops is to bring together users, researchers, and developers of computational tools in aerospace systems (spacecraft, space robotics, aerospace transportation vehicles, etc.) for the purpose of exchanging ideas on the state of the art in computational tools and techniques

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

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    ํ•™์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

    Proceedings of the ECCOMAS Thematic Conference on Multibody Dynamics 2015

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    This volume contains the full papers accepted for presentation at the ECCOMAS Thematic Conference on Multibody Dynamics 2015 held in the Barcelona School of Industrial Engineering, Universitat Politรจcnica de Catalunya, on June 29 - July 2, 2015. The ECCOMAS Thematic Conference on Multibody Dynamics is an international meeting held once every two years in a European country. Continuing the very successful series of past conferences that have been organized in Lisbon (2003), Madrid (2005), Milan (2007), Warsaw (2009), Brussels (2011) and Zagreb (2013); this edition will once again serve as a meeting point for the international researchers, scientists and experts from academia, research laboratories and industry working in the area of multibody dynamics. Applications are related to many fields of contemporary engineering, such as vehicle and railway systems, aeronautical and space vehicles, robotic manipulators, mechatronic and autonomous systems, smart structures, biomechanical systems and nanotechnologies. The topics of the conference include, but are not restricted to: โ— Formulations and Numerical Methods โ— Efficient Methods and Real-Time Applications โ— Flexible Multibody Dynamics โ— Contact Dynamics and Constraints โ— Multiphysics and Coupled Problems โ— Control and Optimization โ— Software Development and Computer Technology โ— Aerospace and Maritime Applications โ— Biomechanics โ— Railroad Vehicle Dynamics โ— Road Vehicle Dynamics โ— Robotics โ— Benchmark ProblemsPostprint (published version
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