Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Blonigan, Patrick Joseph"'
Autor:
Blonigan, Patrick Joseph
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Aeronautics and Astronautics, 2016.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 235-243).
Computational methods for sensitivity a
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 235-243).
Computational methods for sensitivity a
Externí odkaz:
http://hdl.handle.net/1721.1/105089
Autor:
Blonigan, Patrick Joseph
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 2013.
This electronic version was submitted and approved by the author's academic department as part of an electronic thesis pilot project. The certifie
This electronic version was submitted and approved by the author's academic department as part of an electronic thesis pilot project. The certifie
Externí odkaz:
http://hdl.handle.net/1721.1/82478
Autor:
Blonigan, Patrick Joseph, Wang, Qiqi
Publikováno v:
arXiv
The following paper discusses the application of a multigrid-in-time scheme to Least Squares Shadowing (LSS), a novel sensitivity analysis method for chaotic dynamical systems. While traditional sensitivity analysis methods break down for chaotic dyn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od________88::7804dceae546ebc2ae77d51a6524d3bf
https://orcid.org/0000-0001-5552-6235
https://orcid.org/0000-0001-5552-6235
Autor:
Patrick J. Blonigan, Qiqi Wang
Publikováno v:
arXiv
Computational methods for sensitivity analysis are invaluable tools for scientists and engineers investigating a wide range of physical phenomena. However, many of these methods fail when applied to chaotic systems, such as the Kuramoto–Sivashinsky
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::19917ae2953bdae13cc32ab8b599b3b1
https://orcid.org/0000-0001-5552-6235
https://orcid.org/0000-0001-5552-6235
Publikováno v:
arXiv
The adjoint method, among other sensitivity analysis methods, can fail in chaotic dynamical systems. The result from these methods can be too large, often by orders of magnitude, when the result is the derivative of a long time averaged quantity. Thi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::90f39fe509383eb59833ae77e7fc5e42
http://hdl.handle.net/1721.1/103863
http://hdl.handle.net/1721.1/103863
Autor:
Patrick J. Blonigan, Qiqi Wang
Publikováno v:
arXiv
Sensitivity analysis, especially adjoint based sensitivity analysis, is a powerful tool for engineering design which allows for the efficient computation of sensitivities with respect to many parameters. However, these methods break down when used to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2a6e6ba52dda24842e74b5a3ef5639dc
http://arxiv.org/abs/1306.3800
http://arxiv.org/abs/1306.3800
Publikováno v:
arXiv
We present a reformulation of unsteady turbulent flow simulations. The initial condition is relaxed and information is allowed to propagate both forward and backward in time. Simulations of chaotic dynamical systems with this reformulation can be pro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4db1b6bc88cc5ff2b5445dbab4591231
http://arxiv.org/abs/1211.2437
http://arxiv.org/abs/1211.2437