Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Miguel A. Aguilo"'
Publikováno v:
Structural and Multidisciplinary Optimization. 64:3287-3309
We present an augmented Lagrangian-based approach for stress-constrained topology optimization of structures subjected to general dynamic loading. The approach renders structures that satisfy the stress constraints locally at every time step. To solv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::536908e7dac88483d387ec3e77923a19
https://doi.org/10.1007/s00158-021-02954-8
https://doi.org/10.1007/s00158-021-02954-8
Autor:
Karl Garbrecht, Anthony D. Rollett, Allen Sanderson, Robert M. Kirby, Jacob D. Hochhalter, Miguel A. Aguilo
Publikováno v:
Integrating Materials and Manufacturing Innovation. 10:373-392
Genetic programming-based symbolic regression (GPSR) is a machine learning method which produces symbolic models that can be readily interpreted. This study utilized GPSR to derive uniaxial texture-based constitutive models for an additively manufact
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7d670a2336ac06406b994ce6e9377389
https://doi.org/10.1007/s40192-021-00231-6
https://doi.org/10.1007/s40192-021-00231-6
Publikováno v:
International Journal for Numerical Methods in Engineering. 122:5718-5743
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1f4bd6be2ca0073d76419fc08b9cf714
https://doi.org/10.1002/nme.6770
https://doi.org/10.1002/nme.6770
Publikováno v:
Structural and Multidisciplinary Optimization. 58:2727-2759
We present a Matlab implementation of topology optimization for compliance minimization on unstructured polygonal finite element meshes that efficiently accommodates many materials and many volume constraints. Leveraging the modular structure of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2b6f3222a2a32bba99d19c005d32318a
https://doi.org/10.1007/s00158-018-2094-0
https://doi.org/10.1007/s00158-018-2094-0
Publikováno v:
Computer Methods in Applied Mechanics and Engineering. 340:798-823
A framework is presented for multi-material compliance minimization in the context of continuum based topology optimization . We adopt the common approach of finding an optimal shape by solving a series of explicit convex (linear) approximations to t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d133e48dd6bb5b76cac72e99a4fb4ae4
https://doi.org/10.1016/j.cma.2018.01.032
https://doi.org/10.1016/j.cma.2018.01.032
Publikováno v:
Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences. 477:20210418
An optimization-based approach is proposed to design elastostatic cloaking devices in two-dimensional (2D) lattices. Given an elastic lattice with a defect, i.e. a circular or elliptical hole, a small region (cloak) around the hole is designed to hid
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::839f4085ab6c5707d3c08855f1999f53
https://doi.org/10.1098/rspa.2021.0418
https://doi.org/10.1098/rspa.2021.0418
Autor:
Miguel A. Aguilo, Adam Cook, Bryan Kaehr, Bradley Howell Jared, Brad L. Boyce, Lauren L. Beghini, Brett W. Clark, Joshua Robbins
Publikováno v:
Scripta Materialia. 135:141-147
Additive manufacturing offers unprecedented opportunities to design complex structures optimized for performance envelopes inaccessible under conventional manufacturing constraints. Additive processes also promote realization of engineered materials
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::54ff8361abd8069137c410c79a7d84f5
https://doi.org/10.1016/j.scriptamat.2017.02.029
https://doi.org/10.1016/j.scriptamat.2017.02.029
Publikováno v:
International Journal for Uncertainty Quantification. 3:289-319
This work investigates the problem of parameter estimation within the frameworks of deterministic and stochastic parameter estimation methods. For the deterministic methods, we look at constrained and unconstrained optimization approaches. For the co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::58324e5ebb8427e767a66517c9633b52
https://doi.org/10.1615/int.j.uncertaintyquantification.2012003668
https://doi.org/10.1615/int.j.uncertaintyquantification.2012003668