Documents published in Scipedia

• Pattern recognition and damage detection in the "Energética 2030" wind turbine fiber glass tower through machine learning

  S. Rodriguez, J. Sierra-Pérez, C. Blandón, M. Paz-Duque

  Latam-SHM 2023.

  
  

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• EmoGame: Unraveling Emotional Correlations in Teen Video Gamers for Health Monitoring Insights - Biomedical Analysis of the Emotional Impact of Fortnite and Minecraft

  S. Clemente, P. Spoletini, M. Valero, A. Sim, A. Randolph

  Latam-SHM 2023.

  
  

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• Vibration Based Harvester for Wind Turbines

  C. Castellano-Aldave, A. Plaza, X. Iriarte, A. Carlosena

  Latam-SHM 2023.

  
  

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• New generation of generic synchronized wireless sensors for shm

  A. Bouché, V. Cam, L. Lemarchand

  Latam-SHM 2023.

  
  

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• Fault detection in industrial pumps based on recurrent autoencoder neural networks

  V. Meruane, T. Hansen, I. Huerta, E. Roa, L. Quinteros, J. Marín

  Latam-SHM 2023.

  
  

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• Application of virtual element methods for numerical simulation of inelastic response

  P. Wriggers, B. Hudobivnik, M. Cihan, F. Aldekheel, C. Böhm

  complas2023.

  
  

  Abstract

  The Virtual Element Method (VEM) is a novel technology for the approximate solution of partial differential equations that shares the variational background of the finite element method. VEM has the flexibility to deal with general polygonal/polyhedral meshes, including “hanging vertices” and non-convex element shape, while retaining the conformity of the method. This allows different applications in the area of inelastic materials which include homogenization of materials with polycrystalline microstructure, thermo-mechanical responses at finite strains and impact problems. In this presentation we will discuss different aspects of the formulation of low order three-dimensional virtual elements for the class of problems mentioned above

  Abstract
  The Virtual Element Method (VEM) is a novel technology for the approximate solution of partial differential equations that shares the variational background of the finite [...]

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• Enhancing Material Point Method for Disaster Simulation

  K. Terada, R. Nomura, S. Moriguchi

  complas2023.

  
  

  Abstract

  Several recently developed enhancements to material point methods (MPMs) are presented to increase the reliability and predictability of disaster simulations. The details of the enhanced techniques are as diverse as those listed below. 

  Abstract
  Several recently developed enhancements to material point methods (MPMs) are presented to increase the reliability and predictability of disaster simulations. The details [...]

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• Advances In Particle Finite Element Method For The Simulation Of Phase Change Problems And Fluid-Structure Interactions

  J. Ponthot, E. Fernandez, S. Fevrier, M. Lacroix, B. Bobach, L. Papeleux, R. Boman

  complas2023.

  
  

  Abstract

  Particle Finite Element Method (PFEM) is a still rather young method that tries to combine the advantages of classical methods such as FEM and more recent methods known as particle methods (SPH…) The method is quite versatile and can be applied to both solid and fluids material behavior. It is a Lagrangian method that combines computations over one time step using FEM with a fast remeshing algorithm trying to avoid mesh distortions consequent to very large deformations such as the ones encountered for fluid flow with free surfaces. New developments will be presented here, such as the use of a level set function, instead of the traditional alpha-shape algorithm to determine the new boundaries of a body after remeshing, as well as the implementation of phase-change algorithm, including vaporization. The lecture will cover several applications including the simulation of the fluid behavior in a melt pool during LPBF (laser Powder Bed Fusion) where the initial powder is melted by the laser, and then solidifies again when the laser goes away. During this process, due to the high power density of the laser, some part of the material is not only melted but also vaporized. Other applications of the PFEM will illustrate fluidstructure interactions simulations including contact between different solid parts and plastic deformation of some components of the system.

  Abstract
  Particle Finite Element Method (PFEM) is a still rather young method that tries to combine the advantages of classical methods such as FEM and more recent methods known as [...]

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• Interaction of particulate fluids and structures. Modelling and computational challenges

  E. Oñate

  complas2023.

  
  

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• Towards Multiscale Computational Design of Shock-absorbing Metamaterials: (II) From the low-scale to the upper-scale

  X. oliver, A. Nuñez, J. Cante, A. Huespe

  complas2023.

  
  

  Abstract

  To explore the computational design of shock-absorbing metamaterials, this work is a continuation of the one that was presented in COMPLAS 2021 " Towards the Multiscale Computational Design of Shock-absorbing Metamaterials: (I) From the Upper-Scale to the Low-Scale" (see [1]). Once explored there the mechanisms for mechanical dissipation that arise from propagating shocks on the high scale via “theoretical" nonconvex hyperelastic materials, the concept of multiscale metamaterial design is retrieved by defining a mesoscale constituted by a beams lattice, which buckles due to the interaction with the macro-scale (Hill-Mandel energetic equivalence principle), thus giving rise to a homogenized constitutive behavior exhibiting, on the macro-scale, the nonconvexity requested to exhibit “extrinsic” dissipation features. The goal now is exploring the computational challenges associated to this computational modeling i.e. 1) The homogenization of a representative volume element (RVE), made of 1D buckling beams at the mesoscale, into a 2D constitutive model at the macro-scale, 2) the controversial issue of the dependence of resulting homogenized macro-scale behavior on the RVE size, 3) the efficiency in generating mechanical dissipation at the upper scale, this qualifying the proposed setting as amenable for shock absorbing metamaterial design purposes. Representative examples show the degree of achievement of solutions to the aforementioned challenges.

  Abstract
  To explore the computational design of shock-absorbing metamaterials, this work is a continuation of the one that was presented in COMPLAS 2021 " Towards the Multiscale [...]

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