143 research outputs found
Composite structural materials
The purpose of the RPI composites program is to develop advanced technology in the areas of physical properties, structural concepts and analysis, manufacturing, reliability and life prediction. Concommitant goals are to educate engineers to design and use composite materials as normal or conventional materials. A multifaceted program was instituted to achieve these objectives
Aeronautical Engineering: A continuing bibliography with indexes, supplement 110
This bibliography lists 504 reports, articles, and other documents introduced into the NASA scientific and technical information system in May 1979
Nodal Discontinuous Galerkin Methods on Graphics Processors
Discontinuous Galerkin (DG) methods for the numerical solution of partial
differential equations have enjoyed considerable success because they are both
flexible and robust: They allow arbitrary unstructured geometries and easy
control of accuracy without compromising simulation stability. Lately, another
property of DG has been growing in importance: The majority of a DG operator is
applied in an element-local way, with weak penalty-based element-to-element
coupling.
The resulting locality in memory access is one of the factors that enables DG
to run on off-the-shelf, massively parallel graphics processors (GPUs). In
addition, DG's high-order nature lets it require fewer data points per
represented wavelength and hence fewer memory accesses, in exchange for higher
arithmetic intensity. Both of these factors work significantly in favor of a
GPU implementation of DG.
Using a single US$400 Nvidia GTX 280 GPU, we accelerate a solver for
Maxwell's equations on a general 3D unstructured grid by a factor of 40 to 60
relative to a serial computation on a current-generation CPU. In many cases,
our algorithms exhibit full use of the device's available memory bandwidth.
Example computations achieve and surpass 200 gigaflops/s of net
application-level floating point work.
In this article, we describe and derive the techniques used to reach this
level of performance. In addition, we present comprehensive data on the
accuracy and runtime behavior of the method.Comment: 33 pages, 12 figures, 4 table
Machine Learning, Low-Rank Approximations and Reduced Order Modeling in Computational Mechanics
The use of machine learning in mechanics is booming. Algorithms inspired by developments in the field of artificial intelligence today cover increasingly varied fields of application. This book illustrates recent results on coupling machine learning with computational mechanics, particularly for the construction of surrogate models or reduced order models. The articles contained in this compilation were presented at the EUROMECH Colloquium 597, « Reduced Order Modeling in Mechanics of Materials », held in Bad Herrenalb, Germany, from August 28th to August 31th 2018. In this book, Artificial Neural Networks are coupled to physics-based models. The tensor format of simulation data is exploited in surrogate models or for data pruning. Various reduced order models are proposed via machine learning strategies applied to simulation data. Since reduced order models have specific approximation errors, error estimators are also proposed in this book. The proposed numerical examples are very close to engineering problems. The reader would find this book to be a useful reference in identifying progress in machine learning and reduced order modeling for computational mechanics
ICASE semiannual report, April 1 - September 30, 1989
The Institute conducts unclassified basic research in applied mathematics, numerical analysis, and computer science in order to extend and improve problem-solving capabilities in science and engineering, particularly in aeronautics and space. The major categories of the current Institute for Computer Applications in Science and Engineering (ICASE) research program are: (1) numerical methods, with particular emphasis on the development and analysis of basic numerical algorithms; (2) control and parameter identification problems, with emphasis on effective numerical methods; (3) computational problems in engineering and the physical sciences, particularly fluid dynamics, acoustics, and structural analysis; and (4) computer systems and software, especially vector and parallel computers. ICASE reports are considered to be primarily preprints of manuscripts that have been submitted to appropriate research journals or that are to appear in conference proceedings
Research in Structures and Dynamics, 1984
A symposium on advanced and trends in structures and dynamics was held to communicate new insights into physical behavior and to identify trends in the solution procedures for structures and dynamics problems. Pertinent areas of concern were (1) multiprocessors, parallel computation, and database management systems, (2) advances in finite element technology, (3) interactive computing and optimization, (4) mechanics of materials, (5) structural stability, (6) dynamic response of structures, and (7) advanced computer applications
NAS technical summaries. Numerical aerodynamic simulation program, March 1992 - February 1993
NASA created the Numerical Aerodynamic Simulation (NAS) Program in 1987 to focus resources on solving critical problems in aeroscience and related disciplines by utilizing the power of the most advanced supercomputers available. The NAS Program provides scientists with the necessary computing power to solve today's most demanding computational fluid dynamics problems and serves as a pathfinder in integrating leading-edge supercomputing technologies, thus benefitting other supercomputer centers in government and industry. The 1992-93 operational year concluded with 399 high-speed processor projects and 91 parallel projects representing NASA, the Department of Defense, other government agencies, private industry, and universities. This document provides a glimpse at some of the significant scientific results for the year
Aeronautical Engineering. A continuing bibliography with indexes, supplement 156
This bibliography lists 288 reports, articles and other documents introduced into the NASA scientific and technical information system in December 1982
- …