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  • Articles  (326)
  • Springer  (326)
  • American Association for the Advancement of Science (AAAS)
  • American Chemical Society (ACS)
  • Oxford University Press
  • White Horse Press
  • 2015-2019  (283)
  • 2005-2009
  • 1990-1994  (43)
  • 1980-1984
  • 2018  (145)
  • 2016  (138)
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  • 1990  (21)
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  • Computer Science  (326)
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  • Articles  (326)
Publisher
  • Springer  (326)
  • American Association for the Advancement of Science (AAAS)
  • American Chemical Society (ACS)
  • Oxford University Press
  • White Horse Press
Years
  • 2015-2019  (283)
  • 2005-2009
  • 1990-1994  (43)
  • 1980-1984
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  • 1
    Publication Date: 2016-07-21
    Description: Fluid–structure interaction (FSI) phenomena are of interest in several engineering fields. It is highly desirable to develop computationally efficient models to predict the dynamics of FSI. The complexity of modeling lies in the highly non-linear response of both the fluid and structure. The current study proposes an overall model containing two blocks corresponding to a force model and a structural model. The force model consists of two submodels: one for the amplitude and one for the frequency, where the latter is composed of an input/output linear model and a non-linear corrector. The amplitude submodel and the non-linear corrector term in the frequency submodel are modeled using an Hammerstein–Wiener modeling technique in which the non-linear input and output functions are determined by training neural networks using a training dataset. The current model is tested on a well-known fluid–structure interaction problem: a suspended rigid cylinder immersed in a flow at a low Reynolds number regime that exhibits a non-linear behavior. First, a training dataset is generated for a given input profile using a high-fidelity numerical simulation and it is used to train the reduced-order model. Subsequently, the trained model is given a different input profile (i.e., a validation profile) to compare its predictive capability against the high-fidelity numerical simulation. The validation profile is significantly different from the one used for training. The predictive performance of the current reduced-order model is further compared with the results obtained from a reduced-order model that uses polynomial fitting. We demonstrate that the current model provides a superior performance for the validation profile, i.e., it results in a better prediction.
    Print ISSN: 0177-0667
    Electronic ISSN: 1435-5663
    Topics: Computer Science , Mechanical Engineering, Materials Science, Production Engineering, Mining and Metallurgy, Traffic Engineering, Precision Mechanics , Technology
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  • 2
    Publication Date: 2016-07-28
    Description: In this paper, we present a new method for adaptive all-quadrilateral mesh generation for two-dimensional domains, including domains modeled by constraints with complex geometry or with varying scales. The method subdivides the domain’s bounding box using a new extended quadtree scheme. In this subdivision process, the quadtree node corners are moved onto the geometrical constraints using local deformation criteria during the tree refinement steps. We define new subdivision patterns as part of our extended quadtree to add flexibility in the adaptation and guarantee that geometrical constraints are entirely modeled by tree edges. During the process, we ensure grid alignment with constraint accuracy and element quality at every scale. Our proposal converts the tree structure into a mesh with only quadrilateral elements. Results showed that our method generates elements of reasonable quality even for complex geometries and varying scales. The small number of parameters controlling the process is intuitive and makes our method efficient and user friendly.
    Print ISSN: 0177-0667
    Electronic ISSN: 1435-5663
    Topics: Computer Science , Mechanical Engineering, Materials Science, Production Engineering, Mining and Metallurgy, Traffic Engineering, Precision Mechanics , Technology
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  • 3
    Publication Date: 2016-07-30
    Description: This paper proposes a new method to build boundary layer meshes over an immersed complex geometry. It allows to generate an anisotropic semi-structured mesh with a smooth gradation of mesh size from a geometry immersed into an arbitrary coarse domain, while capturing and keeping the interface. The idea is to generate an a priori mesh fitting the geometry boundary layer which is ready for simulations. The mesh size distribution is driven by a levelset distance function and is determined using physical parameters available before the simulation, based on the boundary layer theory. The aspect ratio is then determined knowing the shape of the geometry, and all is applied in a metric tensor field using a gradation thanks to the new multi-levelset method. Then, the mesh generator adapt the initial mesh on the given metric field to create the desired boundary layer mesh.
    Print ISSN: 0177-0667
    Electronic ISSN: 1435-5663
    Topics: Computer Science , Mechanical Engineering, Materials Science, Production Engineering, Mining and Metallurgy, Traffic Engineering, Precision Mechanics , Technology
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  • 4
    Publication Date: 2016-08-04
    Description: Despite being one of the simplest structural elements, beams are used in many engineering structures. One of the most common methods to analyze and design such structures is the finite element method. Even though many different shape functions for finite beam elements have been offered, still there is a need for a beam formulation that does not suffer from numerical errors, locking problems, and yields accurate results with minimum number of elements. For this reason, in this study, a finite curved beam element formulation is developed based on the exact analytical solution of the governing differential equation of planar curved beams. The axial extension and shear deformation effects are considered in the formulation. Since the stiffness matrix and consistent load vector are obtained from the exact solution, there is no locking problem with the formulation. Many numerical examples are solved to indicate the performance of the proposed element with any loading and boundary conditions. Beams with varying curvature and varying cross section are investigated along with the circular beams with constant cross section. The results show that the element formulation is superior to other elements in the literature with accuracy and wide range of applicability for arbitrarily shaped curved beams.
    Print ISSN: 0177-0667
    Electronic ISSN: 1435-5663
    Topics: Computer Science , Mechanical Engineering, Materials Science, Production Engineering, Mining and Metallurgy, Traffic Engineering, Precision Mechanics , Technology
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  • 5
    Publication Date: 2016-08-04
    Print ISSN: 0177-0667
    Electronic ISSN: 1435-5663
    Topics: Computer Science , Mechanical Engineering, Materials Science, Production Engineering, Mining and Metallurgy, Traffic Engineering, Precision Mechanics , Technology
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  • 6
    Publication Date: 2016-07-12
    Description: Computer-aided design (CAD) models of thin-walled parts, such as sheet metal or plastic parts, are often represented by their corresponding midsurfaces for computer-aided engineering (CAE) analysis. The reason being, 2D surface elements, such as “shell” elements, which need to be placed on the midsurface, provide fairly accurate results, while requiring far lesser computational resources time compared to the analysis using 3D solid elements. Existing approachesof midsurface computation are not reliable and robust. They result in ill-connected midsurfaces having missing patches, gaps, overlaps, etc. These errors need to be corrected, mostly by a manual and time-consuming process, requiring from hours to even days. Thus, an automatic and robust technique for computation of a well-connected midsurface is the need of the hour. This paper proposes an approachwhich, instead of working on the complex final solid shape, typically represented by B-rep (boundary representation), leverages feature information available in the modern CAD models for techniques such as defeaturing, generalization, and decomposition. Here, first, the model is defeaturedby removing irrelevant features, generating a simplified shape called “gross shape”. The remaining features are then generalizedto their corresponding generic loft-feature equivalents. The model is then decomposed into sub-volumes, called “cells” having respective owner loft features. A graph is populated, with the cells at the graph nodes. The nodes are classified into midsurface patch-generating nodes (called ‘solid cells’ or sCell s) and interaction-resolving nodes (called ‘interface cells’ or iCell s). Using owner loft feature’s parameters, sCell s compute their own midsurface patches. Using a generic logic, the patches then get connected appropriately in the iCell s, resulting in a well-connected midsurface. The efficacy of the approach is demonstrated by computing well-connected midsurfaces of various real-life sheet metal parts.
    Print ISSN: 0177-0667
    Electronic ISSN: 1435-5663
    Topics: Computer Science , Mechanical Engineering, Materials Science, Production Engineering, Mining and Metallurgy, Traffic Engineering, Precision Mechanics , Technology
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  • 7
    Publication Date: 2016-07-19
    Description: This article introduces a new point of view in the description and solution of neighborhood problems and, more specifically, to those arising in meshfree or simulations in computational mechanics. In particular, we focus on the solution of neighborhood computations when the problem involves two distinct sets of points whose positions change, and whose proximity needs to be repeatedly assessed. With this type of problems in mind, we reformulate the neighborhood concepts and propose a solution—implemented in an open source library—that possesses a simple interface, is suitable for parallelization, has very mild restrictions on the point data, depends only on the standard C++ library, and has a small memory impact. The presented algorithm employs hash tables to achieve constant time in point searches, integer lattices to define a grid of background cells, and classifies the two independent point sets. As a result, and in addition to the favorable features previously indicated, the method is very fast as compared with the available implementations for similar problem.
    Print ISSN: 0177-0667
    Electronic ISSN: 1435-5663
    Topics: Computer Science , Mechanical Engineering, Materials Science, Production Engineering, Mining and Metallurgy, Traffic Engineering, Precision Mechanics , Technology
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  • 8
    Publication Date: 2016-06-24
    Description: Flyrock is an undesirable phenomenon in blasting operations. Due to high potential to cause damage to machinery and nearby structures and to cause injuries, even fatal, to personnel, flyrock is the most dangerous adverse effect of blasting. For controlling and decreasing the effect of this phenomenon, it is necessary to predict it. Because of multiplicity of effective parameters and complexity of interactions among these parameters, empirical methods may not be fully appropriate for flyrock estimation. The scope of this study is to predict flyrock induced by blasting through a novel approach based on the combination of differential evaluation algorithm (DE) and dimensional analysis algorithm (DA). For this purpose, the parameters of 300 blasting operations were accurately recorded and flyrock distances were measured for each operation. In the next stage, two new empirical predictors were developed to predict flyrock distance. The results clearly showed the superiority of the proposed DE–DA model in comparison with the empirical approaches.
    Print ISSN: 0177-0667
    Electronic ISSN: 1435-5663
    Topics: Computer Science , Mechanical Engineering, Materials Science, Production Engineering, Mining and Metallurgy, Traffic Engineering, Precision Mechanics , Technology
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  • 9
    Publication Date: 2016-06-24
    Description: Piezoelectric materials are excellent transducers for converting mechanical energy from the environment for use as electrical energy. The conversion of mechanical energy to electrical energy is a key component in the development of self-powered devices, especially enabling technology for wireless sensor networks. This paper proposes an alternative method for predicting the power output of a bimorph cantilever beam using a finite-element method for both static and dynamic frequency analyses. A novel approach is presented for optimising the cantilever beam, by which the power density is maximised and the structural volume is minimised simultaneously. A two-stage optimisation is performed, i.e., a shape optimisation and then a “topology” hole opening optimisation.
    Print ISSN: 0177-0667
    Electronic ISSN: 1435-5663
    Topics: Computer Science , Mechanical Engineering, Materials Science, Production Engineering, Mining and Metallurgy, Traffic Engineering, Precision Mechanics , Technology
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  • 10
    Publication Date: 2016-01-13
    Description: In this study, a hybrid intelligent solution system including neural networks, genetic algorithms and simulated annealing has been proposed for the inverse kinematics solution of robotic manipulators. The main purpose of the proposed system is to decrease the end effector error of a neural network based inverse kinematics solution. In the designed hybrid intelligent system, simulated annealing algorithm has been used as a genetic operator to decrease the process time of the genetic algorithm to find the optimum solution. Obtained best solution from the neural network has been included in the initial solution of genetic algorithm with randomly produced solutions. The end effector error has been reduced micrometer levels after the implementation of the hybrid intelligent solution system.
    Print ISSN: 0177-0667
    Electronic ISSN: 1435-5663
    Topics: Computer Science , Mechanical Engineering, Materials Science, Production Engineering, Mining and Metallurgy, Traffic Engineering, Precision Mechanics , Technology
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