Documents published in Scipedia

• The Segmentation of Debris Flow Fans Based on Spatial Coordinate Attention Mechanism

  X. Song, B. Wang

  Rev. int. métodos numér. cálc. diseño ing. (2024). Vol. 40, (3), 44

  
  

  Abstract

  In response to the low accuracy and poor performance of traditional machine learning methods in identifying debris flow fans. This paper proposes an optimized Simple, Parameter-Free Attention Module (SimAM) attention mechanism named Spatial Coordinate Attention Module. It combines with convolutional neural networks to achieve precise segmentation of debris flow fans. Firstly, the energy function of the SimAm is improved to retain the spatial coordinate information of features. Secondly, the closed-form solution of the module is obtained through optimization theory to ensure lightweightness, resulting in the Spatial Coordinate Attention Module. Finally, the Spatial Coordinate Attention Module is embedded into classic segmentation network models to compare with mainstream attention mechanisms. Experimental results demonstrate that the proposed method outperforms mainstream attention mechanisms in various classic models, yielding more complete segmentation results. This approach effectively enhances the segmentation performance of the network models in the task of debris flow fans segmentation

  Abstract
  In response to the low accuracy and poor performance of traditional machine learning methods in identifying debris flow fans. This paper proposes an optimized Simple, Parameter-Free [...]

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• Validation of VSPAERO for Basic Wing Simulation

  J. Rosas-Cordova, C. Santana-Delgado, D. Hernadez-Alcantara, L. Amezquita-Brooks

  Rev. int. métodos numér. cálc. diseño ing. (2024). Vol. 40, (3), 45

  
  

  Abstract

  Potential flow theory-based numerical solvers have gained popularity for rapid and straightforward aerodynamic modeling across various applications, particularly in the early stages of design and in resource-limited projects such as small unmanned aerial vehicles (UAVs). These solvers offer a cost-effective solution for analyzing aerodynamic performance, and several well-established methods have demonstrated strong alignment with experimental data. Among these solvers is VSPAERO, a relatively recent addition integrated within the National Aeronautics and Space Administration’s (NASA) OpenVSP aircraft design software. Despite its growing use, a comprehensive validation of the VSPAERO solver remains necessary to ensure its reliability in diverse scenarios. This article presents a validation of the VSPAERO solver by conducting a series of case studies. The assessment includes comparisons against reference values obtained through empirical relationships, results from other established aerodynamic solvers and experimental data from wind tunnel testing. The assessment covers a range of geometries and flow conditions, highlighting areas where the solver performs well and identifying any limitations in its application. The findings provide insights into the meshing parameters required for accurate simulations, as well as the types of geometries and flow conditions for which VSPAERO can be considered a reliable tool. As a conclusion, the article presents a series of best practices and guidelines that are recommended to improve the accuracy and efficiency of future erodynamic simulations conducted using this software. These recommendations are intended to serve as a valuable reference for both researchers and engineers involved in aerodynamic modeling, particularly those working on projects with tight budgets or in the preliminary stages of aircraft design.

  Abstract
  Potential flow theory-based numerical solvers have gained popularity for rapid and straightforward aerodynamic modeling across various applications, particularly in the early [...]

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• A Bi-Objective Evacuation Path Optimization Method Based on Meta-Heuristic Integration

  G. Yang, J. Chen

  Rev. int. métodos numér. cálc. diseño ing. (2024). Vol. 40, (3), 38

  
  

  Abstract

  Urban underground public spaces are relatively enclosed, with high daily passenger flow and diverse directions. Enhancing evacuation capabilities through dynamic guidance systems is a crucial solution. Therefore, this paper proposes a double-layer computational framework based on meta-heuristic integration of a bi-objective evacuation path optimization method. Firstly, the outer layer computation explores the population by combining the genetic algorithm and simulated annealing. It uses temperature parameters to probabilistically accept worse solutions, enhancing global search capability and avoiding local optima. Secondly, the inner layer calculates the fitness value of each solution from the outer layer, considering both the shortest path and minimum risk objectives. The path optimization is carried out by A∗ algorithm on the basis of constructing the safety matrix by using breadth-first search algorithm, and the distance matrix by using Dijkstra’s algorithm. Finally, this method can search for the shortest safe path, effectively guiding people safely from the starting point to the exit. The experiments show that compared to traditional evacuation path planning methods, the proposed method significantly improves path optimization capabilities, quickly planning the shortest and safest evacuation route. It can provide guidance for fire safety and emergency plans for evacuations.

  Abstract
  Urban underground public spaces are relatively enclosed, with high daily passenger flow and diverse directions. Enhancing evacuation capabilities through dynamic guidance [...]

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• La Política Energètica de la Unió Europea i la competitivitat econòmica

  F. Bonvehí

  4rceec (2025). Vol. Sostenibilitat mediambiental, 69

  
  

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• Catalonia’s Trade Strategy: Assessing the Impact of Trade Delegations and Other Agreements

  G. Masllorens

  4rceec (2025). Vol. L’economia catalana dins el nou marc geoestratègic global, 131

  
  

  Abstract

  This study investigates the determinants of Catalan trade flows by ex- amining the impacts of Preferential Trade Agreements, Bilateral Investment Treaties , and the activities of the Catalan governmental agency, ''Accio'', using a comprehensive dataset spanning from 1995 to 2020. The findings reveal that both PTAs and BITs generally foster trade. Furthermore the role of ''Accio ''as a facilitator of internationalization is also particularly significant, especially for differentiated goods.

  Abstract
  This study investigates the determinants of Catalan trade flows by ex- amining the impacts of Preferential Trade Agreements, Bilateral Investment Treaties , and the activities [...]

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• Promising technologies to reduce global and local aviation emissions

  K. Synylo, O. Zaporozhets, A. Krupko, S. Karpenko

  ECCOMAS 2024.

  
  

  Abstract
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• Scalable approximation and solvers for ionic electrodiffusion in cellular geometries

  P. Benedusi, A. ELLINGSRUD, H. HERLYNG, M. ROGNES

  ECCOMAS 2024.

  
  

  Abstract
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• The Continuous Adjoint Method with Consistent Discretization Schemes for Transitional Flows and the Use of Deep Neural Networks in Shape Optimization in Fluid Mechanics

  M. Kontou

  ECCOMAS 2024.

  
  

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• Object-Based Full Waveform Inversion with Quantified Uncertainty in Stratified Media

  A. Carpio, G. Oleaga, E. Cebrián, C. Abugattas

  ECCOMAS 2024.

  
  

  Abstract
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• Universality and scaling relations for turbulent/non-turbulent interfaces in free shear flows

  M. Zecchetto

  ECCOMAS 2024.

  
  

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