Documents published in Scipedia

• A New Metamaterial Plate With Tunable Thermal Expansion

  M. Latella, D. Faraci, C. Comi

  ECCOMAS 2024.

  
  

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• Model Order Reduction for Coupled Multi-Domain Simulations Applied to Helicopters

  L. Frie, O. Wengrzyn, M. Keßler, E. Krämer, P. Eberhard

  ECCOMAS 2024.

  
  

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• Implicit Neural Representation For Accurate CFD Flow Field Prediction

  L. Vito, N. Pinnau, S. Dey

  ECCOMAS 2024.

  
  

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• Flow Structures around the Burj Khalifa in 2D and 3D

  L. Fan, T. Teschner, J. Li

  ECCOMAS 2024.

  
  

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• State Space System Identification and Impact Aided Damping Ratio Estimation for a Strengthened Stone Masonry Building

  D. Gautam, R. Adhikari, S. Olafsson, R. Rupakhety

  ECCOMAS 2024.

  
  

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• Numerical simulation of vectoring of arc plasma jet using Coanda effect

  F. Rodrigues, M. Modanloujoubari, F. Dolati, H. Deylami, J. Pascoa, M. Abdollahzadehsangroudi

  ECCOMAS 2024.

  
  

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• Enhancing Thermal Conductivity Modeling of Polyurethane with Phase Change Materials via Physics-Informed Neural Networks at Multiple Scales

  B. Liu

  ECCOMAS 2024.

  
  

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• Multidisciplinary Modular Approach to Kinematic Mechanism Synthesis

  N. Shahmansouri, H. Cheong, A. Tessier, A. Butscher

  ECCOMAS 2024.

  
  

  Abstract

  In kinematic mechanism synthesis, the goal is to find the optimal configuration and parameters of a mechanism system that produces desired mechanical performance such as motion or force. For a problem involving a complex set of requirements, the optimal system often comprises of many mechanism components, known as Mechanical Building Blocks (MBBs). For example, a complex power transmission system is created with a series of gears, shafts, belts, etc. During the search for an optimal system, the algorithm must be able to evaluate the perfor mance of a candidate system made up of an arbitrary collection of building blocks. To address this challenge, we propose modular modelling of the MBBs that can be composed on-the-fly as a system of equations to be solved. This approach is largely based on multidisciplinary design optimization framework, where the model is composed by considering all relevant disciplines simultaneously to find an optimal solution. In this work, we present the first set of MBBs modelled so far, and three use cases where these building blocks are automatically composed to create a complex mechanism system and analyzed to find the optimal parameters of the system. Our approach is implemented using Dymos, which employs modular analysis and unified derivatives (MAUD) for computing the total derivatives out of the partial derivatives of individual building blocks for gradient-based optimization and a direct collocation method for integrating the kinematic equations. In sum mary, our work demonstrates the value of the multidisciplinary design optimization approach in solving a mechanism synthesis problem

  Abstract
  In kinematic mechanism synthesis, the goal is to find the optimal configuration and parameters of a mechanism system that produces desired mechanical performance such as motion [...]

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• Approximate calculation of changes in local and global quantities due to design modifications

  D. Materna

  ECCOMAS 2024.

  
  

  Abstract

  This contribution introduces a method for goal-oriented and global reanalysis. It allows the prediction of changes in selected quantities of interest by using the changes in the primal and dual so lutions resulting from structural modifications (e.g., changes in shape, topology, or material properties). Theapproach uses a goal-oriented method that includes both primal and dual problems. In particular, this method is easy to integrate into existing finite element programs because it does not require derivatives with respect to design variables

  Abstract
  This contribution introduces a method for goal-oriented and global reanalysis. It allows the prediction of changes in selected quantities of interest by using the changes [...]

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• Exploring Plasticity Material Models in Level-Set Topology Optimization

  M. Pozzi, A. Guibert, A. Kim, F. Braghin

  ECCOMAS 2024.

  
  

  Abstract

  This work investigates various elastoplastic material models in topology optimiza tion. A novel topology optimization framework using the level-set method and COMSOL Multi physics is proposed to handle the complexities introduced by nonlinear material behaviors. This method broadens the range of applicable plasticity models and streamlines nonlinear analysis in topology optimization.

  Abstract
  This work investigates various elastoplastic material models in topology optimiza tion. A novel topology optimization framework using the level-set method and COMSOL Multi [...]

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