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To the present date, no phreatic eruption has been successfully forecasted, as this kind of eruption lacks clear and univocal precursory signals. Understanding how deep magmatic gas and heat fluxes interact with groundwater systems and prime phreatic eruptions is thus of pivotal importance. Here we present an overview of how the modeling of such systems can be addressed from a physical perspective.Volcanic heat and gases (mainly H2O and CO2) released from magmatic intrusions can reach a shallow aquifer hosted in a porous medium, leading to the formation of a multicomponent (H2O and CO2) two-phase system. The formation of a hydrothermal sealing leads to the build-up of an overpressure. The stresses generated by this overpressure might overcome the resistance of the host rock thus leading to the development of cracks (at depth) or leading to an eruption (closer to the surface).The dynamic evolution of the two-phase fluids can be described by the multiphase multicomponent transport model and some energy-based phase equilibrium criteria (e.g., minimization of the Gibbs free energy of the system). This system needs then to be coupled with a thermo-poro-elastic model of the host rock for modeling the stress and deformation fields in order to understand the conditions leading to an eruption. Numerical integration is a key tool for solving the problem. Explorative tests are running using the high-performance multiphysics code ALYA.The development of such models are a key step in understanding phreatic eruptions and will eventually help developing the forecasting of such events., The 28th IUGG General Assembly (IUGG2023) (Berlin 2023)

As one of the results of an ambitious project, this handbook provides a well-structured directory of globally available software tools in the area of Integrated Computational MaterialsEngineering (ICME). The compilation covers models, software tools, and numerical methods allowing describingelectronic, atomistic, and mesoscopic phenomena, which in their combination determine themicrostructure and the properties of materials. It reaches out to simulations of componentmanufacture comprising primary shaping, forming, joining, coating, heat treatment, andmachining processes. Models and tools addressing the in-service behavior like fatigue, corrosion,and eventually recycling complete the compilation. An introductory overview is provided for each of these different modelling areas highlighting therelevant phenomena and also discussing the current state for the different simulation approaches.A must-have for researchers, application engineers, and simulation software providers seekinga holistic overview about the current state of the art in a huge variety of modelling topics. This handbook equally serves as a reference manual for academic and commercial software developersand providers, for industrial users of simulation software, and for decision makers seekingto optimize their production by simulations. In view of its sound introductions into the differentfields of materials physics, materials chemistry, materials engineering and materials processingit also serves as a tutorial for students in the emerging discipline of ICME, which requires a broadview on things and at least a basic education in adjacent fields.

We present in this paper a complete numerical strategy for the study of two gear pumps. This work includes all the steps to follow from the treatment of the CAD geometry until the analysis of the simulation results. In particular, we treat the CAD simplification, the meshing of the geometry, the numerical strategy and, finally, the analysis of simulation results.

This work investigates the accuracy and performance of a FE2 multi-scale implementation used to predict the behavior of composite materials. The equations are formulated assuming the small deformations solid mechanics approach in non-linear material models with hardening plasticity. The uniform strain boundary conditions are applied for the macro-to-micro transitions. A parallel algorithm was implemented in order to solve large engineering problems. The scheme proposed takes advantage of the domain decomposition method at the macro-scale and the coupling between each subdomain with a micro-scale model. The precision of the method is validated with a composite material problem and scalability tests are performed for showing the efficiency Fil: Giuntoli, Gustavo. Barcelona Supercomputing Center - Centro Nacional de Supercomputacion; España Fil: Aguilar, Jimmy. Barcelona Supercomputing Center - Centro Nacional de Supercomputacion; España Fil: Vazquez, Mariano. Barcelona Supercomputing Center - Centro Nacional de Supercomputacion; España Fil: Oller, Sergio Horacio Cristobal. Universidad Politécnica de Catalunya; España. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Salta. Instituto de Investigaciones para la Industria Química. Universidad Nacional de Salta. Facultad de Ingeniería. Instituto de Investigaciones para la Industria Química; Argentina Fil: Houzeaux, Guillaume. Barcelona Supercomputing Center - Centro Nacional de Supercomputacion; España