Haut PDF Fast nonlinear solvers in solid mechanics

Fast nonlinear solvers in solid mechanics

Fast nonlinear solvers in solid mechanics

computing a solution thanks to successive forward and backward substitutions. In solid mechanics, as in other applications, these methods have proved to be efficient in the two-dimensional case, but a significant fill-in phenomenon usually occurs when factor- izing large-scale three-dimensional problems [11, 99]. Hence, the memory requirement generally compromises their use, even more when each left-hand side in (1) needs to be factorized (i.e. when the matrices change all along the sequence). On the other hand, iterative methods provide a sequence of (improving) approximations of the solution of the linear system. Contrary to the direct solvers, these methods only require the knowl- edge of the action of the matrix on a vector. Furthermore, they are particularly well adapted to parallel computing (see, e.g., Chapter 11 in [90]). Among all these methods available in the literature, it is known that Krylov subspace methods are the method of choice for large-scale problems, especially when solving sequences as (1) in the case where left-hand sides are changing [90]. However, Krylov subspace methods are gener- ally efficient when they are are combined with preconditioning [11]. This concept, whose design remains an active domain of research, consists conceptually in multiplying the matrix of the original system by another matrix called preconditioner, while maintaining the same solution. The aim is to obtain a new operator with better properties (detailed later); the preconditioner generally corresponds either to an approximation of the inverse of the original matrix or to the inverse of an approximation of the original matrix. It is worth mentioning that the computation of a preconditioner can be rather expensive, and in the context of the solution of (1) with slowly varying matrices, a preconditioner is often reused for several successive linear systems.
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Annals of Solid and Structural Mechanics

Annals of Solid and Structural Mechanics

Keywords Rotating shaft · breathing crack · nonlinear dynamics · stability · Floquet theory · period doubling · bifurcation diagram · Poincar´e section 1 Introduction The development and propagation of a crack represents the most common and trivial beginning of integrity losses in engineering structures. For rotating shafts, a propagat- ing fatigue crack can have detrimental effects on the reliability of a process or utility plant where theses vital parts are subjected to very arduous working conditions in harsh environment. It is one of the most serious causes of accidents and, an early warning is essential to extend the durability and increase the reliability of these machines. Ac- cording to Bently and Muszynska [1986], in the 70s and till the beginning of the 80s, at least 28 shaft failures due to cracks were registered in the USA energy industry. It is
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An Automatic Multilevel Refinement Technique based on Nested Local Meshes for Nonlinear Mechanics

An Automatic Multilevel Refinement Technique based on Nested Local Meshes for Nonlinear Mechanics

CEA, DEN, DEC, SESC, F-13108 Saint-Paul Lez Durance, France b LMA, CNRS, UPR 7051, Aix-Marseille Univ, Centrale Marseille, 31, Chemin Joseph Aiguier, F-13402 Marseille Cedex 20, France In this paper an adaptive multilevel mesh refinement method, coupled with the Zienkiewicz and Zhu a posteriori error estimator, is applied to solid mechanics with the objective of conduct reliable nonlinear studies in acceptable computational times and memory space. Our automatic approach is first verified on linear behaviour, on 2D and 3D simulations. Then a nonlinear material behaviour is studied. Advantages and limitations of the local defect correction method in solid mechanics problems in terms of refinement ratio, error level, CPU time and memory space are discussed. This kind of resolution is also compared to a global h-adaptive resolution.
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Mechanics of Fast Force Recovery in striated muscles

Mechanics of Fast Force Recovery in striated muscles

knowledge of p y without an additional closure relation. The computational results obtained from this approximation are shown on Figs. 6.2 and 6.3 . These figures are obtained with the set of parameter fitted to muscle data (see Tab. 7.1 on p. 139 ). We see that the model based on mean field approximation fails to reproduce neither the stationary state (measured after 5ms, compare  with ) nor the transients. In the hard device, this is particularly visible for the mean trajectories (see Fig. 6.2 (A)): the equivalent model (solid lines) never fits the Langevin simulations (dashed lines) except during the application of the step because it does not allow the change in the distribution of the cross-bridges (purely elastic response, see the T 1 curve on Fig. 6.2 (B)). Also, one can see that the shape of the T 2 curve corresponds to the local minimum of the energy defined by the initial fraction of cross-bridges in post-power-stroke n 0 1 (thick dot-dashed line). However, the upper and lower boundaries of this local minimum branch correspond to the upper and lower limits for configurations (1, 0, 0) and (0, 0, 1) respec- tively, rather that the upper and lower limits for the configurations n 0 1 , 0, 0  and 0, 0, n 0
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Linear and nonlinear solvers for variational phase-field models of brittle fracture

Linear and nonlinear solvers for variational phase-field models of brittle fracture

6. CONCLUSION In this paper we proposed several improvements to the current standard algorithm for solving variational fracture models. Over-relaxation is extremely cheap and simple to implement, but can greatly reduce the number of iterations required for convergence. Composing over-relaxed alternate minimization with Newton-type methods yields a further decrease in runtime, although at a more significant development cost. Together, these improvements to alternate minimization reduce the time to solution by a factor of 5–6 × for the surfing and thermal shock test cases. Lastly, we proposed and tested preconditioners for the linear subproblems in alternate minimization and the coupled Jacobian arising in the Newton iterations when solving the whole problem with a monolithic active set method. These efforts are complementary to other approaches recently proposed in the literature, such as adaptive remeshing [ 44 ], adaptive time-stepping, continuation algorithms [ 39 ], or refined line-search techniques [ 40 ] that were not considered in this work. Our tests focus only on the simplest settings for variational fracture mechanics assuming small deformations and a simple rate-independent material behaviour. However, the developed techniques can be readily adapted to more complex contexts, including hyperelasticity, viscoelasticity, and inertial effects.
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Null-collision meshless Monte-Carlo-Application to the validation of fast radiative transfer solvers embedded in combustion simulators

Null-collision meshless Monte-Carlo-Application to the validation of fast radiative transfer solvers embedded in combustion simulators

configuration is considered. This task is here achieved using the Monte Carlo algorithm of Section 2 , implemented within the EDStar development environment [10 , 13] , using the Mcm3D library [25] . This implementation deals with three- dimension geometries using advanced computer-graphics tools. The input fields are the output of AVBP. Unlike in the benchmark simulations of Section 3 where the input fields were analytic, the input fields are now provided using the LES grid of AVBP (4.74 million tetrahedrons) together with an interpolation procedure provided by the combustion specia- lists to reflect the spatial integration schemes involved in the fluid mechanics and chemistry solvers. As radiative transfer specialists, we therefore make no choice: we strictly accept what would be, ideally, the input fields that PRISSMA should reflect, in its coupling with AVBP, if no computation constraint was taken into account. Ideally, along the same line, our Monte Carlo simulations should use the best gaseous line- absorption properties available, i.e. the detailed line profiles provided by spectroscopic databases such as HITEMP [26] and CDSD [27] . However, at the present stage, only few attempts were reported in which such line-by-line Monte Carlo strate- gies were tested and none of them are compatible with our requirements in terms of three-dimension geometry and heterogeneity. As described in Section 2.3 , our “reference” simulation makes therefore only use of a narrow band k- distribution strategy. The corresponding spectral data were produced using the SNB-ck approach of [28–31] , separating CO 2 and H 2 O thanks a decorrelation assumption described at the end of Section 2.3 . Three hundred sixty-seven spectral narrowbands are used, each of width Δν ¼ 25 cm −1 , and the
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Analytical parametrization of self-consistent polycrystal mechanics: Fast calculation of upper mantle anisotropy

Analytical parametrization of self-consistent polycrystal mechanics: Fast calculation of upper mantle anisotropy

This disadvantage is overcome to some extent by so-called ‘ho- mogenization’ models, in which the detailed spatial distribution of the grains is ignored and the aggregate is treated as a finite number of grains with different orientations and material properties. In this mean-field approach compatibility of stress and strain equilibrium is not enforced between spatially contiguous grains, but rather be- tween each grain and a ‘homogeneous effective medium’ defined by the average of all the other grains. For viscoplastic behaviours as considered here, a well-known member of this class makes use of the so-called ‘tangent’ anisotropic scheme of Molinari et al. ( 1987 ) and Lebensohn & Tome ( 1993 ). In this model the local stress and strain rate tensors vary among the grains. In the geophys- ical literature this approach is generally known as the viscoplastic self-consistent (VPSC) model, and we use this name for this first- order approximation. The VPSC model has been widely used in solid-earth geophysics including studies of CPO development in the upper mantle (e.g. Wenk et al. 1991 ; Tommasi et al. 1999 , 2000 ,
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MODEL-FREE DATA-DRIVEN METHODS IN MECHANICS: MATERIAL DATA IDENTIFICATION AND SOLVERS

MODEL-FREE DATA-DRIVEN METHODS IN MECHANICS: MATERIAL DATA IDENTIFICATION AND SOLVERS

MODEL-FREE DATA-DRIVEN METHODS IN MECHANICS: MATERIAL DATA IDENTIFICATION AND SOLVERS LAURENT STAINIER, ADRIEN LEYGUE, AND MICHAEL ORTIZ Abstract. This paper presents an integrated model-free data-driven approach to solid mechanics, allowing to perform numerical simulations on structures on the basis of measures of displacement fields on representative samples, without postulating a specific constitutive model. A material data identification procedure, allowing to infer strain-stress pairs from displacement fields and boundary conditions, is used to build a material database from a set of mutiaxial tests on a non- conventional sample. This database is in turn used by a data-driven solver, based on an algorithm minimizing the distance between manifolds of compatible and balanced mechanical states and the given database, to predict the response of structures of the same material, with arbitrary geometry and boundary conditions. Examples illustrate this modelling cycle and demonstrate how the data- driven identification method allows importance sampling of the material state space, yielding faster convergence of simulation results with increasing database size, when compared to synthetic material databases with regular sampling patterns.
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The Discontinuous Galerkin Material Point Method : Application to hyperbolic problems in solid mechanics

The Discontinuous Galerkin Material Point Method : Application to hyperbolic problems in solid mechanics

4.3 Conclusion The Discontinuous Galerkin Material Point Method has been applied to hyperbolic problems of solid mechanics. It has first been shown on a Riemann problem in a linear elastic bar under small strains in section 4.1.1 , that the method is able to capture the exact solution that consists of two elastic discontinuities propagating in the medium. Indeed, the stability properties of the one-dimensional schemes derived in section 3.3.1 enable, for particular space discretizations, the use of a CFL number set to unity. Nevertheless, once the optimal stability condition is lost, that is CF L < 1, the method is slightly more diffusive than the MPM. Next, the solution of problems in history-dependent solids (sections 4.1.2 ) have shown that efficient tools can be embedded into the method in order to deal with (visco)plastic flows. In particular, approximate elastic-plastic Riemann solvers can be employed, provided that the characteristic structure of the problem is known. In addition, the results of section 4.2.1 highlight that the total Lagrangian formulation of the DGMPM allows circumventing the eventual grid-crossing occurring in updated Lagrangian MPM for problems involving waves in finite deforming solids. As a consequence, the numerical scheme also provides solutions that are close to exact ones for non-linear problems. Moreover, the arbitrariness of the grid can be fully exploited by employing adaptive mesh techniques on the reference configuration so as to track accurately waves in the current configuration for problems involving complex geometries. At last, the two-dimensional simulations performed in sections 4.1.3 , 4.1.4 and 4.2.2 show that DGMPM results are in good agreement with FEM while eliminating spurious oscillations.
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Real-time Muscle Deformation via Decoupled Modeling of Solid and Muscle Fiber Mechanics

Real-time Muscle Deformation via Decoupled Modeling of Solid and Muscle Fiber Mechanics

8 4 Conclusion and Future Work We present a multi decoupled modeling method to simulate 3D muscles with complex architecture in real-time (15 FPS), that is a compromise between highly detailed 3D FEM and 1D Hill-type existing approaches. This leads to higher flex- ibility on the modeling side (separate thus optimized discretizations of active, isotropic and anisotropic parts). As expected, uniaxial simulations fit validated 1D Hill wire-segments behavior. Fast computation time allows to run the sim- ulation in real-time using activation input based on real EMG measurements. We plan to validate this method with an extended set of subject-specific mus- cles reconstructed from MRI, and combine it with a skeletal model, to achieve comprehensive musculoskeletal simulations. We currently work on validating de- formations using MRI data showing the knee in various postures combined with EMG measurements.
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A tutorial on Bayesian inference to identify material parameters in solid mechanics

A tutorial on Bayesian inference to identify material parameters in solid mechanics

(2) the family of elastoplastic material models contains both simple (linear elasticity) and more complex, nonlinear, C 0 -continuous descriptions (elastoplasticity with nonlinear hardening). Our contribution focuses on results of uniaxial tensile tests in order to be as straightforward as possible. In addition to introducing the general idea of identification approaches based on BI as gently as possible (to our abilities), we also discuss some more complex extensions, such as not only incorporating the error in the stress, but also incorporating 65

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A Discontinuous Galerkin Material Point Method for the simulation of impact problems in solid mechanics

A Discontinuous Galerkin Material Point Method for the simulation of impact problems in solid mechanics

Figure 6: Saint-Venant-Kirchhoff hyperelastic bar undergoing large deformations (positions - Piola stress) plot at different times. Material parameters are the same as in the linear elastic case. The DGMPM is no longer exactly on the analytical solution of this nonlinear problem and the reason might be the use of an approximate Riemann solver instead of the nonlinear one (which is more expensive). Once again classical MPM fails to represent the discontinuity and introduces oscillations in the results.

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Analytical Comparison of Two Multiscale Coupling Methods for Nonlinear Solid Mechanics

Analytical Comparison of Two Multiscale Coupling Methods for Nonlinear Solid Mechanics

The aim of this work is to compare two existing multilevel compu- tational approaches coming from two different families of multi- scale methods in a nonlinear solid mechanics framework. A locally adaptive multigrid method and a numerical homogenization technique are considered. Both classes of methods aim to enrich a global model representing the structure’s behavior with more sophisticated local models depicting fine localized phenomena. It is clearly shown that even being developed with different vocations, such approaches reveal several common features. The main con- ceptual difference relying on the scale separation condition has finally a limited influence on the algorithmic aspects. Hence, this comparison enables to highlight a unified framework for multiscale coupling methods.
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Educational applications of photoelastodynamics for solid mechanics and dynamics of structures

Educational applications of photoelastodynamics for solid mechanics and dynamics of structures

gourinat@ensica.fr ABSTRACT This paper presents developments performed on photoelastodynamic bench of ENSICA's Department of Mechanical Engineering. Classical wave, vibrating, shock and rotating parts theories, were compared with colour pictures of isochromatic lines obtained with rapid camera and urethane resin specimens. For non-linear shock and large deflection, explicit code LS- DYNA has been used. Then, the facility has been used to analyse dynamic work of gears for power transmission, in comparison with numerical computations. These developments have lead to demonstrations now included in engineering general courseware, about stress analysis : theory of elasticity and dynamics of structures. Gear visualisation have been included in integrated France-Canada developments concerning dynamics of transmission, as a complement with theoretical models and experimental acoustic analysis of functioning gears.
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Robust and efficient meshfree solid thermo-mechanics simulation of friction stir welding

Robust and efficient meshfree solid thermo-mechanics simulation of friction stir welding

2.6.3 MESHFREE METHODS NOT REQUIRING A BACKGROUND MESH (TRUE MESHFREE) The second type of meshfree methods does not require any background mesh and encompasses collocation type methods (solution of the strong form of the PDEs). Some examples are the finite point method (FPM, by Onate et al. [123]) as well as the meshless local Petrov-Galerkin method (MLPG, Atluri and Zhu [124]). The smoothed particle hydrodynamics (SPH) method is one of the older and more mature meshless methods. The method was first introduced by Gingold and Monaghan [125] and by Lucy [126] in 1977. SPH was introduced for the simulation of strength of materials problems by Libersky and Petschek [127] in 1991. SPH has enjoyed a great deal of development over the past decades. It has been successfully used for many short-to-medium duration transient solid mechanics problems. However, the standard SPH approach is not well suited to long-duration strength of material problems. The main difficulty lies in that the standard SPH formulation uses an explicit (forward difference) time integration scheme that is conditionally stable. For solid mechanics problems, the stability criterion leads to very small time steps (inversely proportional to the speed of stress wave propagation in the solid). This leads to unreasonably long computation times for longer duration simulations.
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Certification of SAT Solvers in Coq

Certification of SAT Solvers in Coq

In this paper, we describe our own certifier, which produces a trace checkable by Coq 8.2, without using any impure extension of Coq (we do use machine integers, available in Coq 8.2). We believe that our certifier is the first efficient, portable certifier for both PicoSat and zChaff which were our targets. Its efficiency is comparable to that of [1], although a little bit less. It would be pos- sible to optimiwe it, still, and approach the efficiency of [1], to the price of a less elegant development. So far, we resisted following this path.

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Recent advances in sparse direct solvers

Recent advances in sparse direct solvers

,Q SUDFWLFH QRGHV DUH DPDOJDPDWHG QRGHV WKDW UHSUHVHQW FROXPQV DQG URZV RI WKH IDFWRUV ZLWK VLPLODU VWUXFWXUHV DUH JURXSHG WRJHWKHU LQ D VLQJOH QRGH RIWHQ UHIHUUHG WR DV D VXSHUQRGH [r]

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Combining FEniCS and MFront Code Generation Tools for Nonlinear Mechanics

Combining FEniCS and MFront Code Generation Tools for Nonlinear Mechanics

Combining FEniCS and MFront Code Generation Tools for Nonlinear Mechanics. SIAM Conference on Computational Science and Engineering (CSE21), Mar 2021, Fort Worth, Texas, United States.[r]

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Derivation of nonlinear Gibbs measures from many-body quantum mechanics

Derivation of nonlinear Gibbs measures from many-body quantum mechanics

interacting case. It is an interesting open problem to extend our result to more physical interactions and to k > 2. Open problems and the link with QFT. Nonlinear Gibbs measures have also played an important role in constructive quantum field theory (QFT) [24, 47, 64]. By an argument similar to the Feynman-Kac formula, one can write the (formal) grand-canonical partition function of a quantum field in space dimension d, by means of a (classical) nonlinear Gibbs measure in dimension d + 1, where the additional variable plays the role of time [48, 49]. The rigorous construction of quantum fields then sometimes boils down to the proper definition of the corresponding nonlinear measure. This so-called Euclidean approach to QFT was very successful for some particular models and the literature on the subject is very vast (see, e.g., [48, 1, 55, 28] for a few famous examples and [61] for a recent review). Like here, the problem becomes more and more difficult when the dimension grows. The main difficulties are to define the measures in the whole space and to renormalize the (divergent) physical interactions. We have not yet tried to renormalize physical interactions in our context or to take the thermodynamic limit at the same time as T → ∞. These questions are however important and some tools from constructive QFT could then be useful.
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Numerical experiments on the performance of the RBF meshfree Galerkin Methods for solid mechanics

Numerical experiments on the performance of the RBF meshfree Galerkin Methods for solid mechanics

A. RBF interpolation error In this section, studies on the accuracy of the RPIM shape functions used for curve fitting are conducted . The fitting of functions is based on the nodal function value sets that are generated at regularly as well as at irregularly distributed nodes. The procedure carried out for curve fitting is : first we create a set of field nodes in the domain where the function is to be fitted, then for a given test node x (usually different from the set of field nodes) where the function is to be fitted, we choose n nodes in the influence domain of x, now we can construct RPIM shape functions, and finaly, using these shape functions we can calculate the function value at x and compare it with the real value.
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