<?xml version="1.0" encoding="UTF-8"?>
<rss xmlns:dc="http://purl.org/dc/elements/1.1/" version="2.0">
  <channel>
    <title>DSpace Colección :</title>
    <link>http://hdl.handle.net/20.500.14076/28627</link>
    <description />
    <pubDate>Sat, 11 Apr 2026 13:26:59 GMT</pubDate>
    <dc:date>2026-04-11T13:26:59Z</dc:date>
    <item>
      <title>Parameter optimisation of the Eolic Cell to augment wind power density through the Metamodel of Optimal Prognosis</title>
      <link>http://hdl.handle.net/20.500.14076/29156</link>
      <description>Título : Parameter optimisation of the Eolic Cell to augment wind power density through the Metamodel of Optimal Prognosis
Autor : Calle, Alfredo R.; Baca, Giusep; Gonzales, Salome; Diaz Zamora, Andrés; Calderón Torres, Hugo R.; López, José A.
Resumen : The present work advances a methodology to optimise variables involved in fluid dynamic phenomena for augmented wind turbines. Particularly, the study focuses on improving the performance of a convergent-divergent augmented wind turbine based on eolic cells designed to increase wind speed at the throat section, where a peripherally supported magnetic levitation rotor will be installed as part of a novel wind energy system for distributed generation. Previous studies focused on maximising average wind velocity as the target variable. In contrast, this study shifted its focus to power density, resulting in more effective and consistent results. Numerical axisymmetric computational fluid dynamics simulations were conducted to determine the impact of these improvements. Response surfaces were created for parametric analysis, and the metamodel of optimal prognosis was implemented to provide accuracy. The results indicate a significant improvement in available power, with an average increase of up to 12.5 times compared to non-augmented conditions.</description>
      <pubDate>Fri, 01 Mar 2024 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">http://hdl.handle.net/20.500.14076/29156</guid>
      <dc:date>2024-03-01T00:00:00Z</dc:date>
    </item>
    <item>
      <title>A robust five-unknowns higher-order deformation theory optimized via machine learning for functionally graded plates</title>
      <link>http://hdl.handle.net/20.500.14076/29155</link>
      <description>Título : A robust five-unknowns higher-order deformation theory optimized via machine learning for functionally graded plates
Autor : Yarasca, J.; Mantari, J.L.; Monge, J. C.; Hinostroza, M.A.
Resumen : This article presents a new kind of higher-order deformation theory, called Parametric Higher-order Deformation Theory (PHDT), for the static analysis of functionally graded plates (FGPs). The novelty of the PHDT is the use of strain shape functions that are calibrated by a set of tuning parameters to approximate 3D results along the plate thickness. The tuning parameters are assumed to vary with side-to-thickness ratios and power-law indexes. In contrast to higher-order shear deformation theories (HSDTs), the PHDT is not mathematically constrained to satisfy the traction-free boundary condition on the bottom plate’s surface. The proposed plate model is based on a 5-unknown HSDT previously presented by one of the authors. The governing equations are derived from the principle of virtual works, and Navier-type closed form solutions have been obtained for simply supported FGPs subjected to bisinuisoidal transverse pressure. A general methodology that uses genetic algorithms to determine the optimal tuning parameters of PHDTs for FGPs with various side-to-thickness ratios and power-law indexes is presented. The accuracy of the PHDT is assessed by comparing the results of numerical examples with a 3D elasticity solution, HSDTs reported in the literature, and the well-known Carrera Unified Formulation. The results show that quasi-3D displacement and stress distribution are obtained using a set of tuning parameters to form adaptable strain shape functions that are optimized for the given structural problem.</description>
      <pubDate>Mon, 01 Apr 2024 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">http://hdl.handle.net/20.500.14076/29155</guid>
      <dc:date>2024-04-01T00:00:00Z</dc:date>
    </item>
    <item>
      <title>Unified layer-wise model for magneto-electric shells with complex geometry</title>
      <link>http://hdl.handle.net/20.500.14076/29154</link>
      <description>Título : Unified layer-wise model for magneto-electric shells with complex geometry
Autor : Monge, J.C.; Mantari, J.L.; Llosa, M.N.; Hinostroza, M.A.
Resumen : This paper presents a polynomial layer-wise model in the framework of Carrera's Unified Formulation for the bending analysis of a magneto-electric shells with variable radii of curvature. A parametric surface is used to model the middle surface of the shell. Lame Parameters and Radius of Curvature are calculated by using Differential Geometry. The mechanical displacement, along with the electric and magnetic scalar potential functions, are expressed and modeled using Chebyshev polynomials of the Second Kind. The shells are exposed to different mechanical, electrical and magnetic loads. The Principle of Virtual Displacement is employed for obtaining the governing equations which are discretized by Chebyshev-Gauss-Lobatto grid distribution and solved in semi-analytical manner by the so-called Differential Quadrature Method (DQM). The basis function selected is the Lagrange polynomial. The DQM is employed for its straightforwardness in tackling complex yet regular shell structures under various multiphysical loads. A simple stress recovery technique based on 3D equilibrium equations is introduced to obtain the out-of-plane shear and normal stresses, transverse electric, and magnetic induction. Close-to-3D solutions have been achieved for classical shell structures. Furthermore, benchmark solutions for complex smart shells featuring variable radii of curvature, such as parabolic and cycloidal shells, are introduced.</description>
      <pubDate>Sat, 01 Jun 2024 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">http://hdl.handle.net/20.500.14076/29154</guid>
      <dc:date>2024-06-01T00:00:00Z</dc:date>
    </item>
    <item>
      <title>Non-polynomial hybrid models for the bending of magneto-electro-elastic shells</title>
      <link>http://hdl.handle.net/20.500.14076/29153</link>
      <description>Título : Non-polynomial hybrid models for the bending of magneto-electro-elastic shells
Autor : Monge, Joao C.; Mantaria, Jose Luis; Hinostroza, Miguel A.
Resumen : This paper presents different non-polynomial hybrid models in the framework of Carrera’s Unified Formulation for the bending of a magneto-electric shell with variable radii of curvature. The shell’s middle surface is graphed by a parametric surface. Differential Geometry is employed for evaluating the Lamé Parameters and Radius of Curvature. The mechanical displacements are modeled in the context of an equivalent single layer by sinusoidal, hyperbolic, and tangential models. The electrical and magnetic scalar potential functions are written by a polynomial thickness function in the framework of Layerwise theory. The shell panels are subjected to mechanical, electrical, and magnetic loads. The governing equations are obtained by the Principle of Virtual Displacement. The correspondent partial differential equations are discretized by Chebyshev-Gauss-Lobatto grid distribution and solved by the so-called Differential Quadrature Method. The classical Lagrange polynomial is employed as the basis function for the method. The stresses, electrical displacement, and magnetic induction are recovered by the three-dimensional (3D) equilibrium equations. A comparative analysis with 3D solutions provided in the literature is performed for a square plate and a doubly curved shallow shell panel and remarkable results are obtained. So, the validated models are further used to study shells with variable radii of curvature; specifically, for helicoid, ellipsoid, and catenoid panels.</description>
      <pubDate>Wed, 01 Mar 2023 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">http://hdl.handle.net/20.500.14076/29153</guid>
      <dc:date>2023-03-01T00:00:00Z</dc:date>
    </item>
  </channel>
</rss>

