Computer Methods in Applied Mechanics and Engineering Vol. 285, pp. 427-451, 2015 A. Ortiz-Bernardin, J.S. Hale and C. J. Cyron Abstract We present a displacement-based Galerkin meshfree method for the analysis of nearly-incompressible linear elastic solids, where low-order simplicial tessellations (i.e., 3-node triangular or 4-node tetrahedral meshes) are used as a background structure for numerical integration
Read More » Read MoreThe Department of Mechanical Engineering (www.dimec.uchile.cl) at University of Chile invites applications for three full time tenure-track faculty positions in Mechanical Engineering. Applicants must have deep interest in undergraduate and graduate teaching, as well as the purpose to conduct long-term, externally funded research programs at international level. Candidates are also expected to maintain fruitful work
Read More » Read More Paper Accepted for Publication in Computer Methods in Applied Mechanics and Engineering A. Ortiz-Bernardin, J.S. Hale and C. J. Cyron, “Volume-averaged nodal projection method for nearly-incompressible elasticity using meshfree and bubble basis functions.” ABSTRACT We present a displacement-based Galerkin meshfree method for the analysis of nearly-incompressible linear elastic solids, where low-order simplicial tessellations (i.e., 3-node triangular
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Paper Accepted for Publication in Acta Mechanica A. Ortiz-Bernardin, D. Sfyris, ”A finite element formulation for stressed bodies with continuous distribution of edge dislocations.” ABSTRACT On using Noll’s theory of materially uniform but inhomogeneous bodies, a nonlinear finite element method for treating a body with a continuous distribution of edge dislocations is presented. To this end,
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Paper Accepted for Publication in Mechanical Systems and Signal Processing V. Meruane, A. Ortiz-Bernardin, “Structural damage assessment using linear approximation with maximum entropy and transmissibility data.” ABSTRACT Supervised learning algorithms have been proposed as a suitable alternative to model updating methods in structural damage assessment, being Artificial Neural Networks the most frequently used. Notwithstanding, the
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14th Pan-American Congress of Applied Mechanics – PACAM XIV March 24-28, 2014, Santiago, Chile Proceedings of PACAM XIV V. Meruane and A. Ortiz-Bernardin Abstract Supervised learning algorithms have been proposed as a suitable alternative to model updating methods in vibration-based damage assessment, being Artificial Neural Networks the most frequently used. Notwithstanding, the slow learning speed and
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A talk given by A. Ortiz-Bernardin at the 11th World Congress on Computational Mechanics, July 20 – 25, 2014, Barcelona, Spain 11th World Congress on Computational Mechanics (WCCM XI) 5th European Conference on Computational Mechanics (ECCM V) 6th European Conference on Computational Fluid Dynamics (ECFD VI) July 20 – 25, 2014, Barcelona, Spain Alejandro Ortiz-Bernardin¹,
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Paper Accepted for Publication in Entropy V. Meruane, V. del Fierro, A. Ortiz-Bernardin, “A maximum entropy approach to assess debonding in honeycomb aluminium plates.” ABSTRACT Honeycomb sandwich structures are used in a wide variety of applications. Nevertheless, due to manufacturing defects or impact loads, these structures can be subject to imperfect bonding or debonding between
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Entropy Vol. 16, No. 5, pp. 2869-2889, 2014 V. Meruane, V. del Fierro, A. Ortiz-Bernardin Abstract Honeycomb sandwich structures are used in a wide variety of applications. Nevertheless, due to manufacturing defects or impact loads, these structures can be subject to imperfect bonding or debonding between the skin and the honeycomb core. The presence of
Read More » Read More A. Ortiz-Bernardin, J.S. Hale, C. J. Cyron, “Meshfree volume-averaged nodal projection method for nearly-incompressible elasticity,” submitted. ABSTRACT We present a displacement-based Galerkin meshfree method for the analysis of nearly-incompressible linear elastic solids, where low-order simplicial tessellations (i.e., 3-node triangular or 4-node tetrahedral meshes) are used as a background structure for numerical integration of the weak
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