Documents published in Scipedia

• Efficient unstructured mesh deformation using randomized linear algebra in Fluid Structure Interaction

  Y. Mesri

  admos2023.

  
  

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• Goal oriented error adaptivity for dynamic stress concentration With a Symmetric Boundary Element Galerkin Method

  S. Touhami, D. Aubry

  admos2023.

  
  

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• Gravity Load Effects on Inelastic Simulation of Buildings Subjected to Wind Loads

  J. Judd, J. Niedens

  admos2023.

  
  

  Abstract

  Reduced-order (single-degree-of-freedom) models of buildings subjected to wind loads were analyzed to determine the effect of gravity loads on inelastic behavior. The lateral wind loads were based on data from atmospheric boundary layer wind tunnel tests to capture the temporal and spatial variation of wind pressure on a building envelope. The lateral load resisting system of the building was idealized using a bilinear relationship, and gravity load effects were introduced using a stability coefficient. Nonlinear response history analyses were solved using direct implicit integration of the equation of motion, and an energy balance was used to assess the quality of the numerical solution. The resulting response histories were used to interrogate the relationship between inelastic displacement, ductility, period of vibration, and gravity loads. The results indicate that inelastic displacements were approximately equal to the elastic displacements even in the presence of gravity loads for cross wind excitation. For along wind excitation, the inelastic displacements were approximately equal to the elastic displacements regardless of gravity loads. The findings suggest that the equal displacement concept may have application to the wind design of high-rise buildings where cross-wind loads control the design of the lateral system

  Abstract
  Reduced-order (single-degree-of-freedom) models of buildings subjected to wind loads were analyzed to determine the effect of gravity loads on inelastic behavior. The lateral [...]

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• Machine Learning Assisted Mesh Adaptation for Geophysical Fluid Dynamics

  S. Li, E. Johnson, J. Wallwork, S. Kramer, M. Piggott

  admos2023.

  
  

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• Sparse recovery problem in a hierarchical Bayesian framework

  M. Pragliola, D. Calvetti, E. Somersalo

  admos2023.

  
  

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• Dimension Reduction of Dynamic Superresolution and Application to Cell Tracking in PET

  A. Schlüter, M. Holler, B. Wirth

  admos2023.

  
  

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• Towards patient-specific modelling of Atherosclerotic Arterial Sections

  S. Gahima, P. Díez, M. Stefani, J. Rodríguez, A. García-González

  admos2023.

  
  

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• Digital Volume Correlation techniques for patient-specific simulation of vertebrae with metastasis

  L. Person, F. Hild, E. Nadal, J. Roderas, O. Allix

  admos2023.

  
  

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• Clustering-based Parametric Surrogate Modeling of Vibroacoustic Problems Assisted by Neural Networks and Active Subspace Method

  H. Sreekumar, L. Outzen, U. Römer, S. Langer

  admos2023.

  
  

  Abstract

  This contribution presents a combined framework to perform parametric surrogate modeling of vibroacoustic problems that enables efficient training of large-scale problems. The proposed framework combines the active subspace method to perform dimensionality reduction of high-dimensional problems and thereafter a clustering-based approach within the identified active subspace region to yield smaller training clusters. Finally, a trained neural network assists the cluster classification task for any desired parameter point so as to query the parametric system response during the online phase.

  Abstract
  This contribution presents a combined framework to perform parametric surrogate modeling of vibroacoustic problems that enables efficient training of large-scale problems. [...]

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• Mesh- and model adaptivity for elasto-plastic mean-field and full-field homogenization based on downwind and upwind approximations

  A. Tchomgue-Simeu, R. Mahnken

  admos2023.

  
  

  Abstract

  Materials such as composites are heterogeneous at the micro-scale, where several constituents with different material properties can be distinguished like elastic inclusions and the elasto-plastic matrix with isotropic hardening. One has to deal with these heterogeneities on the micro-scale and then perform a scale transition to obtain the overall behavior on the macro-scale, which is often referred to as homogenization. The present contribution deals with the combination of numerically inexpensive mean-field and numerically expensive full-field homogenization methods in elasto-plasticity coupled to adaptive finite element method (FEM) which takes into account error generation and error transport at each time step on the macro-scale. The proposed adaptive procedure is driven by a goal-oriented a posteriori error estimator based on duality techniques. The main difficulty of duality techniques in the literature is that the backwards-in-time al gorithm has a high demand on memory capacity since additional memory is required to store the primary solutions computed over all time steps. To this end, several down wind and upwind approximations are introduced for an elasto-plastic primal problem by means of jump terms [1]. Therefore, from a computational point of view, the forwards-in time duality problem is very attractive. A numerical example illustrates the effectiveness of the proposed adaptive approach based on forwards-in-time method in comparison to backwards-in-time method.

  Abstract
  Materials such as composites are heterogeneous at the micro-scale, where several constituents with different material properties can be distinguished like elastic inclusions [...]

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  •  read