294 research outputs found

    Integrated implementation system for pseudodynamic testing

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    The pseudodynamic test method is a tool for obtaining the non-linear response of structures to transient ground acceleration. The modelling technique relies on representing the inertial and viscous damping components of the equation of motion computationally, while obtaining a measure of the non-linear elastic restoring forces experimentally. A pseudodynamic implementation system is presented, displaying innovations within both the computational and experimental domains. A SDOF pseudodynamic test facility has been designed and manufactured employing a computer controlled servo-hydraulic actuator system. The experimental facility enables displacements of up to 50mm under forces of up to 50kN with all required instrumentation. The experimental apparatus is controlled by algorithms running in the LabView environment, fully integrated within the execution system, rendering the requirement for a hardware controller obsolete. The execution system allows interactive control of the experiments, and offers a large range options with respect to both control and time integration. The execution routine incorporates both the time integration and control algorithms, and combines these such that they effectively execute as an integrated system. This enables semi-continuous implementation of the pseudodynamic tests with very limited resources. A novel, integral form time stepping scheme is proposed, based on an explicit integral form algorithm (Chang et al. 1998) and the Newmark Implicit scheme. The proposed formulation offers an implicit, and thus unconditionally stable alternative to Chang's algorithm without introducing further approximations. This yields improved dissipation and accuracy properties in addition to enabling combination of the integral form schemes' advantages of representing non-linear force variations during a time step with an unlimited time step size. The improvements have been shown both through analytical analyses and numerical examples in linear and non-linear systems. Implementation of the implicit integral form algorithm has been enabled by coding parts of the algorithm directly into the digital controller

    Correctness of model-based software composition (CMC). Proceedings. ECOOP 2003 Workshop #11 in association with the 17th European Conference on Object-Oriented Programming, Darmstadt, Germany, July 22, 2003

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    This proceedings contains the contributions to the Workshop on Correctness of Model-based Software Composition, held in conjunction with the 17th European Conference on Object-Oriented Programming (ECOOP), Darmstadt, Germany on July 22, 2003. While most events concentrate on realisations of composition on the technological level this workshop aims at closing the gap of ensuring the intended composition result supported by the usage of models. Two important problems in composition are first how to model the different assets (such as components, features or aspects) and second the composition of assets such that consistency and correctness is guaranteed. The first problem has been addressed in the Workshop on Model-based Software Reuse (ECOOP 2002). The latter problem occurs when dealing with, e.g., component interoperability, aspect weaving, feature interaction and (on a more abstract level) traceability between different views or models. One approach to deal with the composition problem is to use models allowing to model the composition. This allows checking the interoperability of the different assets to compose, the correctness of the configuration of assets and predicting properties of the assembled system (especially compliance with user requirements). In case of problem detection suitable resolution algorithms can be applied. 10 reviewed contributions give an overview about current research directions in correctness of model-based software compositions. Results from the discussions during the workshop may be found in the ECOOP 2003 workshop reader to be published by Springer LNCS. The web page of the workshop as well as the contributions of this proceedings may be found at URL: http://ssel.vub.ac.be/workshops/ECOOP2003/ Affiliated to previous ECOOP conferences a related workshop about feature interaction (ECOOP 2001) and an additional about model-based software reuse (ECOOP 2002) have been held. Their contributions are published as technical report No. 2001-14 and as technical report No. 2002-4, respectively, at the Universitaet Karlsruhe, Fakultaet fuer Informatik. URLs: http://www.info.uni-karlsruhe.de/~pulvermu/workshops/ecoop2001/ http://www.ubka.uni-karlsruhe.de/cgi-bin/psview?document=/ira/2001/14 http://www.info.uni-karlsruhe.de/~pulvermu/workshops/ECOOP2002/ http://www.ubka.uni-karlsruhe.de/cgi-bin/psview?document=/ira/2002/4 We would like to thank the program committee for their support as well as the authors and participants for their engaged contributions. The Workshop Organisers Ragnhild Van Der Straeten, Andreas Speck, Elke Pulvermueller, Matthias Clauss, Andreas Pleus

    Combining SOA and BPM Technologies for Cross-System Process Automation

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    This paper summarizes the results of an industry case study that introduced a cross-system business process automation solution based on a combination of SOA and BPM standard technologies (i.e., BPMN, BPEL, WSDL). Besides discussing major weaknesses of the existing, custom-built, solution and comparing them against experiences with the developed prototype, the paper presents a course of action for transforming the current solution into the proposed solution. This includes a general approach, consisting of four distinct steps, as well as specific action items that are to be performed for every step. The discussion also covers language and tool support and challenges arising from the transformation

    GPU Accelerated Approach to Numerical Linear Algebra and Matrix Analysis with CFD Applications

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    A GPU accelerated approach to numerical linear algebra and matrix analysis with CFD applications is presented. The works objectives are to (1) develop stable and efficient algorithms utilizing multiple NVIDIA GPUs with CUDA to accelerate common matrix computations, (2) optimize these algorithms through CPU/GPU memory allocation, GPU kernel development, CPU/GPU communication, data transfer and bandwidth control to (3) develop parallel CFD applications for Navier Stokes and Lattice Boltzmann analysis methods. Special consideration will be given to performing the linear algebra algorithms under certain matrix types (banded, dense, diagonal, sparse, symmetric and triangular). Benchmarks are performed for all analyses with baseline CPU times being determined to find speed-up factors and measure computational capability of the GPU accelerated algorithms. The GPU implemented algorithms used in this work along with the optimization techniques performed are measured against preexisting work and test matrices available in the NIST Matrix Market. CFD analysis looked to strengthen the assessment of this work by providing a direct engineering application to analysis that would benefit from matrix optimization techniques and accelerated algorithms. Overall, this work desired to develop optimization for selected linear algebra and matrix computations performed with modern GPU architectures and CUDA developer which were applied directly to mathematical and engineering applications through CFD analysis
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