163,294 research outputs found
[Report to Chief J. E. Curry, by an unknown author #1]
No full textReport to Chief J. E. Curry, by an unknown author. The report contains a list of officers who gave depositions to the United States Attorney
[Report to Chief J. E. Curry, by an unknown author #2]
No full textReport to Chief J. E. Curry, by an unknown author. The report contains a list of officers who gave depositions to the United States Attorney
Checklist of the earthworms (Oligochaeta) of Kerala, a constituent of Western Ghats biodiversity hotspot, India
No full textNarayanan, S. Prasanth, Sathrumithra, S., Christopher, G., Thomas, A. P., Julka, J. M. (2016): Checklist of the earthworms (Oligochaeta) of Kerala, a constituent of Western Ghats biodiversity hotspot, India. Zootaxa 4193 (1): 117-137, DOI: http://doi.org/10.11646/zootaxa.4193.1.
Coevolutionary architecture for distributed optimization of complex coupled systems
No full textA coevolutionary architecture for distributed optimization of complex coupled systems is presented. This architecture is inspired by the phenomena of coevolutionary adaptation occurring in ecological systems. The focus of this research is to develop flexible design architectures for addressing the organizational and computational challenges involved in optimization of large-scale multidisciplinary systems. In the proposed design architecture the optimization procedure is modeled as the process of coadaptation between sympatric species in an ecosystem. Each species is entrusted with the task of improving subdomain specific objectives and the satisfaction of subdomain constraints. Coupling compatibility constraints are accommodated via implicit generalized Jacobi iteration, which enables the application of the proposed architecture to systems with arbitrary coupling bandwidth between the disciplines, without an increase in the problem size. A domain decomposition approach is presented for distributed structural optimization to construct a class of test problems. Numerical studies are presented to demonstrate that convergence to an optimal solution satisfying the subdomain and coupling compatibility constraints can be readily achieved
FIGURE.3 in Nomenclatural notes on type materials of eight names in Embelia (Primulaceae) from Peninsular India
No full textFIGURE.3. Lectotype of Embelia robusta Roxb. (BM, BM000997142) © copyright of the Natural History Museum, London.Published as part of Prasanth, Arun & Sardesai, Milind M., 2021, Nomenclatural notes on type materials of eight names in Embelia (Primulaceae) from Peninsular India, pp. 230-238 in Phytotaxa 491 (3) on page 234, DOI: 10.11646/phytotaxa.491.3.3, http://zenodo.org/record/575443
Murder on the mountain: author talk with Peter J. Wosh
No full textAuthor talk by Peter J. Wosh on May 5th, 2022, on his book, "Murder on the Mountain: crime, passion, and punishment in gilded age New Jersey.
Mr. Melvin J. Collier, RWWL AUC, June 2011
No full textThis video is a conversation with Mr. Melvin J. Collier. Mr. Collier talks about his book, "From Mississippi to Africa: A Journey of Discovery". Daniel Le, AUC Woodruff Library, is the interviewer
Uncertainty in thermal analysis of gas turbine blades
No full textThis paper presents a methodology for thermal analysis of gas turbine blades in the presence of material and geometrical uncertainties. We outline the steps, involving random field and spatial discretization procedures followed by the solution and post-processing schemes employing stochastic reduced basis methods, for both types of uncertainties. Numerical studies are presented for a model problem which clearly indicate the speed and accuracy of the method in comparison to a benchmark Monte-Carlo simulation
Multi-element stochastic reduced basis methods
No full textThis paper presents mutli-element Stochastic Reduced Basis Methods (ME-SRBMs) for solving linear stochastic partial differential equations. In ME-SRBMs, the domain of definition of the random inputs is decomposed into smaller subdomains or random elements. Stochastic Reduced Basis Methods (SRBMs) are employed in each random element to evaluated the response statistics. These elemental statistics are assimilated to compute the overall statistics. The effectiveness of the method is demonstrated by solving the stochastic steady state heat transfer equation on two geometries involving different types of boundary conditions. Numerical studies are conducted to investigate the h-convergence rates of global and local preconditioning strategies
Stochastic projection schemes for deterministic linear elliptic partial differential equations on random domains
No full textWe present stochastic projection schemes for approximating the solution of a class of deterministic linear elliptic partial differential equations defined on random domains. The key idea is to carry out spatial discretization using a combination of finite element methods and stochastic mesh representations. We prove a result to establish the conditions that the input uncertainty model must satisfy to ensure the validity of the stochastic mesh representation and hence the well posedness of the problem. Finite element spatial discretization of the governing equations using a stochastic mesh representation results in a linear random algebraic system of equations in a polynomial chaos basis whose coefficients of expansion can be non-intrusively computed either at the element or the global level. The resulting randomly parametrized algebraic equations are solved using stochastic projection schemes to approximate the response statistics. The proposed approach is demonstrated for modeling diffusion in a square domain with a rough wall and heat transfer analysis of a three-dimensional gas turbine blade model with uncertainty in the cooling core geometry. The numerical results are compared against Monte–Carlo simulations, and it is shown that the proposed approach provides high-quality approximations for the first two statistical moments at modest computational effort
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