Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Andrew B Lambe"'
Autor:
Francis A. Plummer, Andrew B Lambe, Dane Schalk, Xiao-Qing Liu, Michael S. Seaman, Yanmin Wan, Binhua Liang, Ma Luo, Nikki Toledo, Jorge F. Correia-Pinto, Tamara G Dacoba, José Crecente-Campo, María J. Alonso, James B. Whitney, Lewis R. Liu, Yan Hai, Hongzhao Li, Nancy Schultz-Darken, Lin Li, Mohammad Abul Kashem, Robert W Omange, Robert Balshaw, Qingsheng Li, So-Yon Lim
Publikováno v:
J Clin Invest
After over 3 decades of research, an effective anti-HIV vaccine remains elusive. The recently halted HVTN702 clinical trial not only further stresses the challenge to develop an effective HIV vaccine but also emphasizes that unconventional and novel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::14324fd8b69c8978726682577c9042a1
https://europepmc.org/articles/PMC7685735/
https://europepmc.org/articles/PMC7685735/
Autor:
Aleksander Czekanski, Andrew B. Lambe
Publikováno v:
International Journal for Numerical Methods in Engineering. 115:1266-1286
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::06c81c1ec07c25c82aeaf50ff713cf6e
https://doi.org/10.1002/nme.5843
https://doi.org/10.1002/nme.5843
Publikováno v:
Structural and Multidisciplinary Optimization. 55:257-277
Constraint aggregation makes it feasible to solve large-scale stress-constrained mass minimization problems efficiently using gradient-based optimization where the gradients are computed using adjoint methods. However, it is not always clear which co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::566882bd23db570b82420496a99cb268
https://doi.org/10.1007/s00158-016-1495-1
https://doi.org/10.1007/s00158-016-1495-1
Publikováno v:
Structural and Multidisciplinary Optimization. 53:589-603
In structural optimization subject to failure constraints, computing the gradients of a large number of functions with respect to a large number of design variables may not be computationally practical. Often, the number of constraints in these optim
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c2775507fbdec16a03e27f6137316970
https://doi.org/10.1007/s00158-015-1349-2
https://doi.org/10.1007/s00158-015-1349-2
Publikováno v:
Optimization and Engineering. 17:359-384
In many large engineering design problems, it is not computationally feasible or realistic to store Jacobians or Hessians explicitly. Matrix-free implementations of standard optimization methods—implementations that do not explicitly form Jacobians
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::404b43c7fb28fcdf457e3ead34bde4ad
https://doi.org/10.1007/s11081-015-9287-9
https://doi.org/10.1007/s11081-015-9287-9
Publikováno v:
AIAA Journal. 51:2049-2075
Multidisciplinary design optimization is a field of research that studies the application of numerical optimization techniques to the design of engineering systems involving multiple disciplines or components. Since the inception of multidisciplinary
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0565f8aebf5ad450379c99b808b7a540
https://doi.org/10.2514/1.j051895
https://doi.org/10.2514/1.j051895
Autor:
Andrew B. Lambe, Aleksander Czekanski
Publikováno v:
Volume 11: Systems, Design, and Complexity.
Structural topology optimization seeks to distribute material in a design domain to produce the stiffest structure for a given mass or the lightest structure for a given strength. In the density-based approach to topology optimization, the design dom
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::90e6af30735f637ae1d6f34510bd71da
https://doi.org/10.1115/imece2016-65537
https://doi.org/10.1115/imece2016-65537
Publikováno v:
15th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference.
When solving structural or aerostructural design optimization problems with gradientbased methods, a significant fraction of the total computational cost is computing gradient information for both objective and constraint functions. If the problem ha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b3df342a0dd0983442cdbe46f2ba5607
https://doi.org/10.2514/6.2014-2429
https://doi.org/10.2514/6.2014-2429
Publikováno v:
13th AIAA/ISSMO Multidisciplinary Analysis Optimization Conference.
Traditional approaches to MDO problem decomposition have shown poor performance when solving problems with strong interactions between disciplines. We present a new decomposition strategy for MDO that aims to overcome this diculty. The method, called
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d4f2bef4786f46bca7e8859972671008
https://doi.org/10.2514/6.2010-9325
https://doi.org/10.2514/6.2010-9325