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Modern distributed engineering applications are based on complex systems consisting of various subsystems that are connected through the Internet. Communication and collaboration within an entire system requires reliable and efficient data exchange between the subsystems. Middleware developed within the web evolution during the past years provides reliable and efficient data exchange for web applications, which can be adopted for solving the data exchange problems in distributed engineering applications. This paper presents a generic approach for reliable and efficient data exchange between engineering devices using existing middleware known from web applications. Different existing middleware is examined with respect to the suitability in engineering applications. In this paper, a suitable middleware is shown and a prototype implementation simulating distributed wind farm control is presented and validated using several performance measurements.
A geometrical inclusion-matrix model for the finite element analysis of concrete at multiple scales
(2003)
This paper introduces a method to generate adequate inclusion-matrix geometries of concrete in two and three dimensions, which are independent of any specific numerical discretization. The article starts with an analysis on shapes of natural aggregates and discusses corresponding mathematical realizations. As a first prototype a two-dimensional generation of a mesoscale model is introduced. Particle size distribution functions are analysed and prepared for simulating an adequate three-dimensional representation of the aggregates within a concrete structure. A sample geometry of a three-dimensional test cube is generated and the finite element analysis of its heterogeneous geometry by a uniform mesh is presented. Concluding, aspects of a multiscale analysis are discussed and possible enhancements are proposed.
This paper focuses on a new three-level discretisation strategy which enables the transition between continuum/structural (I) and structural/black box modelling (II). The transition (I) is realised by means of a model adaptive concept based on an innovative finite element technology. For transition (II) we apply the truncated balanced realisation method (TBR). The latter represents an established system theoretical model reduction technique which is here combined with a novel substructure technique. The approach provides a modular concept to facilitate the computational analysis of complex structures. The final goal is to apply the strategy to life time estimation.
In earlier research, generalized multidimensional Hilbert transforms have been constructed in m-dimensional Euclidean space, in the framework of Clifford analysis. Clifford analysis, centred around the notion of monogenic functions, may be regarded as a direct and elegant generalization to higher dimension of the theory of the holomorphic functions in the complex plane. The considered Hilbert transforms, usually obtained as a part of the boundary value of an associated Cauchy transform in m+1 dimensions, might be characterized as isotropic, since the metric in the underlying space is the standard Euclidean one. In this paper we adopt the idea of a so-called anisotropic Clifford setting, which leads to the introduction of a metric dependent m-dimensional Hilbert transform, showing, at least formally, the same properties as the isotropic one. The Hilbert transform being an important tool in signal analysis, this metric dependent setting has the advantage of allowing the adjustment of the co-ordinate system to possible preferential directions in the signals to be analyzed. A striking result to be mentioned is that the associated anisotropic (m+1)-dimensional Cauchy transform is no longer uniquely determined, but may stem from a diversity of (m+1)-dimensional "mother" metrics.
The Element-free Galerkin Method has become a very popular tool for the simulation of mechanical problems with moving boundaries. The internally applied Moving Least Squares approximation uses in general Gaussian or cubic weighting functions and has compact support. Due to the approximative character of this method the obtained shape functions do not fulfill the interpolation condition, which causes additional numerical effort for the imposition of the essential boundary conditions. The application of a singular weighting function, which leads to singular coefficient matrices at the nodes, can solve this problem, but requires a very careful placement of the integration points. Special procedures for the handling of such singular matrices were proposed in literature, which require additional numerical effort. In this paper a non-singular weighting function is presented, which leads to an exact fulfillment of the interpolation condition. This weighting function leads to regular values of the weights and the coefficient matrices in the whole interpolation domain even at the nodes. Furthermore this function gives much more stable results for varying size of the influence radius and for strongly distorted nodal arrangements than classical weighting function types. Nevertheless, for practical applications the results are similar as these obtained with the regularized weighting type presented by the authors in previous publications. Finally a new concept will be presented, which enables an efficient analysis of systems with strongly varying node density. In this concept the nodal influence domains are adapted depending on the nodal configuration by interpolating the influence radius for each direction from the distances to the natural neighbor nodes. This approach requires a Voronoi diagram of the domain, which is available in this study since Delaunay triangles are used as integration background cells. In the numerical examples it will be shown, that this method leads to a more uniform and reduced number of influencing nodes for systems with varying node density than the classical circular influence domains, which means that the small additional numerical effort for interpolating the influence radius leads to remarkable reduction of the total numerical cost in a linear analysis while obtaining similar results. For nonlinear calculations this advantage would be even more significant.
For the analysis of arbitrary, by Finite Elements discretized shell structures, an efficient numerical simulation strategy with quadratic convergence including geometrically and physically nonlinear effects will be presented. In the beginning, a Finite-Rotation shell theory allowing constant shear deformations across the shell thickness is given in an isoparametric formulation. The assumed-strain concept enables the derivation of a locking-free finite element. The Layered Approach will be applied to ensure a sufficiently precise prediction of the propagation of plastic zones even throughout the shell thickness. The Riks-Wempner-Wessels global iteration scheme will be enhanced by a Line-Search procedure to ensure the tracing of nonlinear deformation paths with rather great load steps even in the post-peak range. The elastic-plastic material model includes isotropic hardening. A new Operator-Split return algorithm ensures considerably exact solution of the initial-value problem even for greater load steps. The combination with consistently linearized constitutive equations ensures quadratic convergence in a close neighbourhood to the exact solution. Finally, several examples will demonstrate accuracy and numerical efficiency of the developed algorithm.
The paper is about model based parameter identification and damage localization of elastomechanical systems using input and output measurements in the frequency domain. An adaptation of the Projective Input Residual Method to subsystem damage identification is presented. For this purpose the projected residuals were adapted with respect to a given subsystem to be analysed. Based on the gradients of these projected subsystem residuals a damage indicator was introduced which is sensitive to parameter changes and structural damages in this subsystem. Since the computations are done w.r.t. the smaller dimension of a subsystem this indicator shows a computational performance gain compared to the non-subsystem approach. This gain in efficiency makes the indicator applicable in online-monitoring and online-damage-diagnosis where continuous and fast data processing is required. The presented application of the indicator to a gantry robot could illustrate the ability of the indicator to indicate and locate real damage of a complex structure. Since in civil engineering applications the system input is often unknown, further investigations will focus on the output-only case since the generalization of the presented methods to this case will broaden its application spectrum.
The truss model for predicting shear resistance of reinforced concrete beams has usually been criticized because of its underestimation of the concrete shear strength especially for beams with low shear reinforcement. Two challengers are commonly encountered in any truss model and are responsible for its inaccurate shear strength prediction. First: the cracking angle is usually assumed empirically and second the shear contribution of the arching action is usually neglected. This research introduces a nouvelle approach, by using Artificial Neural Network (ANN) for accurately evaluating the shear cracking angle of reinforced and prestressed concrete beams. The model inputs include the beam geometry, concrete strength, the shear reinforcement ratio and the prestressing stress if any. ...
In many engineering applications two or more different interacting systems require the numer-ical solution of so-called multifield problems. In civil engineering the interaction of fluid and structures plays an important role, i.e. for fabric tensile structures of light and flexible materials often used for large roof systems, capacious umbrellas or canopies. Whereas powerful numerical simulation techniques have been established in structural engineering as well as in fluid mechan-ics, only relatively few approaches to simulate the interaction of fluids with civil engineering constructions have been presented. To determine the wind loads on complex structures, it is still state-of-the-art to apply semi-empirical, strongly simplifying methods or to perform expensive ex-periments in wind tunnels. In this paper an approach of a coupled fluid-structure simulation will be presented for membrane and thin shell structures. The interaction is described by the struc-tural deformation as response to wind forces, resulting in a modification of the fluid flow domain. Besides a realistic determination of the wind loads, information on the structural stability can be obtained. The so-called partitioned solution is based on an iterative frame algorithm, integrating different codes for Computational Fluid Dynamics (CFD) and for Computational Structural Dy-namics (CSD) in an explicit or an implicit time-stepping procedure. All data exchange between the two different applications is performed via a neutral geometric model provided by a coupling interface. A conservative interpolation method is used for the interpolation of the nodal loads. The time-dependent motion of the structure requires a dynamic modification of the different grids and a redefinition of the Navier-Stokes equations in an Arbitrary Langrangian Eulerian (ALE) formulation. As an example for the present implementation, results of a coupled fluid-structure simulation for a textile membrane canopy will be presented.