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Ignasi Colominas

Researcher at University of A Coruña

Publications -  150
Citations -  2263

Ignasi Colominas is an academic researcher from University of A Coruña. The author has contributed to research in topics: Moving least squares & Finite volume method. The author has an hindex of 27, co-authored 148 publications receiving 1985 citations.

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Topology optimization of continuum structures with local and global stress constraints

TL;DR: In this paper, a minimum weight with stress constraints Finite element formulation for the topology optimization of continuum structures is proposed, where the material mass is restricted to a predefined percentage of the maximum possible mass, while no displacement constraints are taken into account.
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Block aggregation of stress constraints in topology optimization of structures

TL;DR: This paper explores the feasibility of defining a so-called global constraint, which basic aim is to limit the maximum stress simultaneously within all the structure by means of one single inequality, and compares the performance of these three approaches by solving several topology optimization problems.
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Finite volume solvers and Moving Least-Squares approximations for the compressible Navier–Stokes equations on unstructured grids

TL;DR: This paper explores the approximation power of Moving Least-Squares approximations in the context of higher-order finite volume schemes on unstructured grids and proposes a selective limiting procedure, based on the multiresolution properties of the MLS approximants, which allows to switch off the limiters in smooth regions of the flow.

Finite volume solvers and movingleast-squares approximations for thecompressible Navier-Stokes equations onunstructured grids

TL;DR: In this paper, the authors explored the approximation power of Moving Least Squares (MLS) approximations in the context of higher-order finite volume schemes on unstructured grids.
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Capillary networks in tumor angiogenesis: From discrete endothelial cells to phase‐field averaged descriptions via isogeometric analysis

TL;DR: This work introduces a numerical method based on isogeometric analysis that couples the discrete and continuous descriptions of the theory of tumor angiogenesis and performs numerical simulations that show the development of the vasculature around a tumor.