405 research outputs found

    H ingestion into He-burning convection zones in super-AGB stellar models as a potential site for intermediate neutron-density nucleosynthesis

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    We investigate the evolution of super-AGB (SAGB) thermal pulse (TP) stars for a range of metallicities (Z) and explore the effect of convective boundary mixing (CBM). With decreasing metallicity and evolution along the TP phase, the He-shell flash and the third dredge-up (TDU) occur closer together in time. After some time (depending upon the CBM parametrization), efficient TDU begins while the pulse-driven convection zone (PDCZ) is still present, causing a convective exchange of material between the PDCZ and the convective envelope. This results in the ingestion of protons into the convective He-burning pulse. Even small amounts of CBM encourage the interaction of the convection zones leading to transport of protons from the convective envelope into the He layer. H-burning luminosities exceed 10âč (in some cases 10Âč⁰) L⊙. We also calculate models of dredge-out in the most massive SAGB stars and show that the dredge-out phenomenon is another likely site of convective-reactive H-ÂčÂČC combustion. We discuss the substantial uncertainties of stellar evolution models under these conditions. Nevertheless, the simulations suggest that in the convective-reactive H-combustion regime of H ingestion the star may encounter conditions for the intermediate neutron capture process (i-process). We speculate that some CEMP-s/r stars could originate in i-process conditions in the H ingestion phases of low-Z SAGB stars. This scenario would however suggest a very low electron-capture supernova rate from SAGB stars. We also simulate potential outbursts triggered by such H ingestion events, present their light curves and briefly discuss their transient properties

    Acceleration of a Full-scale Industrial CFD Application with OP2

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    Influence of severe thermal preconditioning on the bond between carbon FRCM and masonry substrate: Effect of textile pre-impregnation

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    Fabric-reinforced cementitious matrix (FRCM) composites often include polymer-impregnated bundles to improve the exploitation of the textile mechanical properties. However, organic components may degrade when exposed to elevated temperature. In this paper, the bond behavior of a carbon FRCM applied to a masonry substrate and exposed to a thermal preconditioning up to 300 °C for 250 min is investigated. Tensile tests on the textile and flexural and compression tests on the mortar matrix, as well as single-lap direct shear tests of FRCM-masonry joints with bare and impregnated textiles, are performed. Results show that the polymeric impregnation improves the mechanical properties of the FRCM even after thermal preconditioning

    Bending and shear behavior of historic walls strengthened with composite reinforced mortar

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    Composite reinforced mortar (CRM) is a relatively new solution for the strengthening of existing masonry members that comprises fiber-reinforced polymer (FRP) grids reinforcing inorganic mortar overlays. CRMs were proven to be effective in strengthening masonry members against in- and out-of- plane loads. In this paper, a glass FRP-CRM is employed to strengthen 5-leaf historic masonry walls cut from an existing building located in Milan, Italy. The walls were strengthened and then subjected to three-point bending and diagonal compression tests. Results were compared with those of corresponding non-strengthened walls and showed the CRM effectiveness also in the case of thick masonry members

    MUON FLUX ESTIMATION IN THE ANDES UNDERGROUND LABORATORY

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    The ANDES Underground Laboratory is being planned and designed to be one of the largest and most shielded laboratories in the Southern Hemisphere, which will be located in the Andes Range, in the area of the current Paso AguaNegra that connects the provinces of San Juan (Argentina) and Elqui (Chile). The diversity of experiments that are being planned, including experiments for the direct and indirect search of dark matter and neutrino precision physics, requires a precise knowledge of the flux of high-energy atmospheric muons within the laboratory. These are produced during the interaction of astroparticles with energies between 1012 and 1018eV denominated of high and ultra-high energy withthe Earth’s atmosphere. In the high-energy component, muons with energies of tens of TeV can be found, capable of passing through thousands of meters of rock. Previous estimates made from reasonable assumptions about the type of rock expected in the area showed that the expected muon flux was compatible with other underground laboratories at an equivalent depth. In this work, extensive atmospheric showers flux simulations were performed at the laboratory site.Afterwards, there was a selection of those muons with sufficient energy to reach the laboratory based on their angle of incidence and the height at which they enter the mountain. Then a transfer function was modeled using the new geological studies currently available that allow us to have a detailed model of the rock distribution inside the mountain. Finally, the interaction of these muons with the different types of rock was calculated numerically along their way to the laboratory using the continuous slow-down approximation, thus obtaining that the expected muon flux within the laboratory is 1,47±0,02 day−1m−2sr−1

    OP2-Clang : a source-to-source translator using Clang/LLVM LibTooling

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    Domain Specific Languages or Active Library frameworks have recently emerged as an important method for gaining performance portability, where an application can be efficiently executed on a wide range of HPC architectures without significant manual modifications. Embedded DSLs such as OP2, provides an API embedded in general purpose languages such as C/C++/Fortran. They rely on source-to-source translation and code refactorization to translate the higher-level API calls to platform specific parallel implementations. OP2 targets the solution of unstructured-mesh computations, where it can generate a variety of parallel implementations for execution on architectures such as CPUs, GPUs, distributed memory clusters and heterogeneous processors making use of a wide range of platform specific optimizations. Compiler tool-chains supporting source-to-source translation of code written in mainstream languages currently lack the capabilities to carry out such wide-ranging code transformations. Clang/LLVM’s Tooling library (LibTooling) has long been touted as having such capabilities but have only demonstrated its use in simple source refactoring tasks. In this paper we introduce OP2-Clang, a source-to-source translator based on LibTooling, for OP2’s C/C++ API, capable of generating target parallel code based on SIMD, OpenMP, CUDA and their combinations with MPI. OP2-Clang is designed to significantly reduce maintenance, particularly making it easy to be extended to generate new parallelizations and optimizations for hardware platforms. In this research, we demonstrate its capabilities including (1) the use of LibTooling’s AST matchers together with a simple strategy that use parallelization templates or skeletons to significantly reduce the complexity of generating radically different and transformed target code and (2) chart the challenges and solution to generating optimized parallelizations for OpenMP, SIMD and CUDA. Results indicate that OP2-Clang produces near-identical parallel code to that of OP2’s current source-to-source translator. We believe that the lessons learnt in OP2-Clang can be readily applied to developing other similar source-to-source translators, particularly for DSLs

    OP2-Clang : a source-to-source translator using Clang/LLVM LibTooling

    Get PDF
    Domain Specific Languages or Active Library frameworks have recently emerged as an important method for gaining performance portability, where an application can be efficiently executed on a wide range of HPC architectures without significant manual modifications. Embedded DSLs such as OP2, provides an API embedded in general purpose languages such as C/C++/Fortran. They rely on source-to-source translation and code refactorization to translate the higher-level API calls to platform specific parallel implementations. OP2 targets the solution of unstructured-mesh computations, where it can generate a variety of parallel implementations for execution on architectures such as CPUs, GPUs, distributed memory clusters and heterogeneous processors making use of a wide range of platform specific optimizations. Compiler tool-chains supporting source-to-source translation of code written in mainstream languages currently lack the capabilities to carry out such wide-ranging code transformations. Clang/LLVM’s Tooling library (LibTooling) has long been touted as having such capabilities but have only demonstrated its use in simple source refactoring tasks. In this paper we introduce OP2-Clang, a source-to-source translator based on LibTooling, for OP2’s C/C++ API, capable of generating target parallel code based on SIMD, OpenMP, CUDA and their combinations with MPI. OP2-Clang is designed to significantly reduce maintenance, particularly making it easy to be extended to generate new parallelizations and optimizations for hardware platforms. In this research, we demonstrate its capabilities including (1) the use of LibTooling’s AST matchers together with a simple strategy that use parallelization templates or skeletons to significantly reduce the complexity of generating radically different and transformed target code and (2) chart the challenges and solution to generating optimized parallelizations for OpenMP, SIMD and CUDA. Results indicate that OP2-Clang produces near-identical parallel code to that of OP2’s current source-to-source translator. We believe that the lessons learnt in OP2-Clang can be readily applied to developing other similar source-to-source translators, particularly for DSLs
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