JOURNALS

Documents published in Scipedia

• Presentation to Eugenio Oñate and others of the National Research Award 2024 by the King of Spain Felipe VI.

  E. Oñate

  eov (2026). 5

  
  

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• Tribute of CIMNE to Eugenio Oñate on his retirement

  E. Oñate

  eov (2026). 4

  
  

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• Video on the Particle Finite Element method

  E. Oñate

  eov (2026). 3

  
  

  Abstract

  The video presents the theoretical foundations of the Particle Finite Element Method (PFEM, https://cimne.com/pfem-launches-its-new-website/ ) and its applications in engineering and other applied sciences.

  Abstract
  The video presents the theoretical foundations of the Particle Finite Element Method (PFEM, https://cimne.com/pfem-launches-its-new-website/ ) and its applications in [...]

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• Video on the occasion of the 2024 National Research Award in Engineering and Architecture

  E. Oñate

  eov (2026). 2

  
  

  Abstract

  The video contains the interview that the Ministry of Science, Innovation and Universities conducted with Eugenio Oñate on the occasion of the awarding of the 2024 National Research Prize, Torres Quevedo category in Engineering and Architecture.

  Abstract
  The video contains the interview that the Ministry of Science, Innovation and Universities conducted with Eugenio Oñate on the occasion of the awarding of the 2024 [...]

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• The Particle Finite Element Method PFEM in engineering

  E. Oñate

  eov (2026). 1

  
  

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• La Ingeniería Civil en la era digital.

  E. Oñate

  Rev. Ingenia (2025). No. 4

  
  

  Abstract

  Se presenta una panorámica de los retos y oportunidades que la nueva era digital ofrece a la Ingeniería Civil, tanto para la práctica de la profesión como para los programas de formación e investigación en universidades y organismos científicos.

  Abstract
  Se presenta una panorámica de los retos y oportunidades que la nueva era digital ofrece a la Ingeniería Civil, tanto para la práctica de la profesión [...]

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• A microstructure-integrated acoustoplastic constitutive model for ultrasonic-assisted machining of Ti6Al4V alloy

  H. Bakhshan, E. Oñate, J. Puigbó

  CIRP Journal of Manufacturing Science and Technology (2025). Vol. 57, 14-31

  
  

  Abstract

  The ultrasonic-assisted machining (UAM) technology, compared to conventional machining (CM), has been proven to be an effective method for machining the difficult-to-cut Ti6Al4V alloy (TC4). In the UAM process, the evolution mechanism of microstructure and hardness directly influences the material behavior and consequently, mechanical response, which remains unrevealed from a computational perspective. To address this, in this study, we present a developed modeling technique that combines the Particle Finite Element Method (PFEM) with incremental homogeneous field distributions in a coupled manner to effectively predict the macro and micro response of the material in both CM and UAM processes. First, the evolution of microstructural parameters, including immobile dislocation density (IDD) and mobile dislocation density (MDD), dynamic recrystallization (DRx) grain size, and hardness, is incrementally developed and incorporated into the PFEM using internal state variables. The Johnson–Mehl–Avrami–Kolmogorov (JMAK) model and Hall–Petch equation are employed for predicting grain size and hardness, respectively. Second, A microstructure-integrated acoustoplastic constitutive model is developed based on a modified Johnson–Cook (JC) model and average grain size (AGS) predictions dependent on ultrasonic vibration (UV) parameters. The proposed model is embedded into the PFEM to conduct a thermo-mechanical analysis capable of capturing the TC4 response, particularly in terms of serrated chip formation during CM and UAM processes. The model’s validity is checked through comparison with available experimental results in terms of chip shapes. Lastly, the predicted AGS and hardness in serrated chips and machined surface are compared with experimental data, showing good agreement. This suggests that the proposed acoustoplastic constitutive model, coupled with microstructure and UV parameters, can reliably analyze the CM and UAM processes of the TC4.

  Abstract
  The ultrasonic-assisted machining (UAM) technology, compared to conventional machining (CM), has been proven to be an effective method for machining the difficult-to-cut Ti6Al4V [...]

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• Fatigue delamination damage analysis in composite materials through a rule of mixtures approach

  A. Taherzadeh-Fard, S. Jiménez, A. Cornejo Velázquez, E. Oñate, L. Barbu

  Composite Structures (2025). Vol. 351, 118613

  
  

  Abstract

  The present study investigates delamination damage initiation and propagation within a homogenization theory of mixtures, using the concept of virtual layers and virtual interfaces. It eliminates spatial discretization of layers, introducing a resultant damage variable to capture structure’s bulk response under both monotonic and cyclic loads. Fatigue-induced deterioration is classified into sub-critical, critical, and over-critical stages based on interfacial stresses. Calibration is conducted employing the widely-available Wöhler curves for each loading mode independently. An advance-in-time strategy is included in the model to enhance the simulation speed. The reliability of the approach is assessed for crack initiation and propagation separately through standard test coupons, showing good correlation with experimental data in mode I, mode II, and mixed-mode loading conditions. Depending on the calibration procedure adopted, the model is applicable to a wide range of stress ratios. In addition, it could be integrated into any standard finite element framework using the desired number of elements through the thickness regardless of the physical amount of layers. This allows easy modification of stacking sequences or the number of layers within the constitutive law without mesh structure changes, facilitating simulation of large-scale composite laminates with minimal accuracy loss and reduced computational costs.

  Abstract
  The present study investigates delamination damage initiation and propagation within a homogenization theory of mixtures, using the concept of virtual layers and virtual interfaces. [...]

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• Multiscale data-driven modeling of the thermomechanical behavior of granular media with thermal expansion effects

  R. Rangel, A. Franci, E. Oñate, J. Gimenez

  Computers and Geotechnics (2024). Vol. 176, 106789

  
  

  Abstract

  A multiscale data-driven (MSDD) methodology is proposed for simulating the thermomechanical behavior of granular materials subjected to thermal expansion. The macroscale is handled using a continuous model based on the Finite Volume Method (FVM), while the microscale response is captured at Representative Volume Elements (RVEs) with the Discrete Element Method (DEM). To significantly reduce the computational cost of the analyses, the microscale DEM computations are not performed online, �.�., simultaneously with the macroscale FVM ones, as generally done in standard multiscale approaches. Instead, they are performed in advance to create a comprehensive database of RVE solutions under different initial conditions and thermal strains. This dataset is then used to train an Artificial Neural Network (ANN), which serves as a surrogate model for the macroscale solver. The MSDD approach is validated against pure DEM solutions of problems with distinct thermal conditions. Remarkably, we demonstrate that with only three input parameters, namely porosity, fabric, and thermal strain, the surrogate model can predict the microstructure evolution, as well as the updated conductivity and Cauchy stress tensors of the granular assembly. This allows for a generally accurate simulation of transient thermomechanical analyses at a drastically lower computational cost than the pure DEM approach.

  Abstract
  A multiscale data-driven (MSDD) methodology is proposed for simulating the thermomechanical behavior of granular materials subjected to thermal expansion. The macroscale is [...]

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• A critical review of how eXtended Reality (XR) has addressed key factors influencing Safety on Construction Projects (fSCPs)

  F. Rivera, J. Mora, E. Oñate

  Archives of Computational Methods in Engineering (2024). Vol. 31, pp.s 2015–2048

  
  

  Abstract

  The construction industry is known for its high accident rates. One hundred key factors affecting construction safety (fSCPs)—associated with general aspects of organisational management, materials and equipment, the construction site, and human aspects related to the worker and work team—have been identified. EXtended Reality (XR), which encompasses Virtual Reality (VR), Augmented Reality (AR), and Mixed Reality (MR) technologies, is being used in construction safety management. XR offers multiple advantages, given its characteristics of visualisation, immersion, and interaction with digital models and real objects. XR’s potential safety uses are widely recognised, and several studies have tested these technologies for different applications. However, most such efforts have been focused on identifying functionalities, applications, and technological aspects of XR in general, rather than studying whether those uses affect the factors relevant to security management. This study examined the literature on XR experiences that have addressed fSCPs and analysed how these developments have been related to the construction sector’s methodologies and technologies, such as building information modelling (BIM).

  Abstract
  The construction industry is known for its high accident rates. One hundred key factors affecting construction safety (fSCPs)—associated with general aspects of organisational [...]

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