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Ryan Alberdi

Researcher at University of Notre Dame

Publications -  17
Citations -  433

Ryan Alberdi is an academic researcher from University of Notre Dame. The author has contributed to research in topics: Topology optimization & Metamaterial. The author has an hindex of 11, co-authored 17 publications receiving 289 citations. Previous affiliations of Ryan Alberdi include Sandia National Laboratories.

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Multi-morphology lattices lead to improved plastic energy absorption

TL;DR: In this paper, the energy-absorption performance of lattice metamaterials with a heterogeneous spatial layout of different unit cell architectures was studied, and a rational design approach was developed to explore the design space of these lattices, inspiring a nonintuitive design which was evaluated alongside designs based on mixture rules.
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Analysis of three-dimensional curved beams using isogeometric approach

TL;DR: In this article, an isogeometric approach is presented for the formulation of finite elements for arbitrary spatially curved 3-D beams, which employ the same Non-Uniform Rational B-Spline interpolations as used in the CAD representations to interpolate both geometry and unknown fields in the finite element analysis, leading to a seamless transition between complex CAD models utilized by architects and the analysis models used by engineers.
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Performance evaluation of sandwich panel systems for blast mitigation

TL;DR: In this paper, the authors investigate sandwich panels with different types of metallic lattice topologies and compare their performance under prescribed blast loads using nonlinear finite element simulations, and evaluate performance indicators including: energy dissipated through plastic deformation, maximum force transferred, and plate deflections.
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Comparison of robustness of metaheuristic algorithms for steel frame optimization

TL;DR: It is shown that the algorithms that exhibit robustness are those that incorporate intensification and diversification in ways that can effectively navigate the large variable spaces present in steel frame design optimization problems.