Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Shaun A. Forth"'
We demonstrate the capabilities of computational fluid dynamics (CFD) and a pressure-impulse failure model to predict blast loading and structural damage in a geometrically complex cityscape. The simulated loading is compared against experimental res
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d7bbccb6d50f8ea26b193610f4b52b3c
http://dspace.lib.cranfield.ac.uk/handle/1826/17278
http://dspace.lib.cranfield.ac.uk/handle/1826/17278
Publikováno v:
Enhancing CBRNE Safety & Security: Proceedings of the SICC 2017 Conference ISBN: 9783319917900
The formation of Cranfield University’s Counterterrorism Centre of Excellence was announced in late summer 2017. It has been established in conjunction with Pool Re, a mutual reinsurer which underwrites over £2 trillion of exposure to terrorism ri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5c3709035e29eede66a1e353b41977cf
http://dspace.lib.cranfield.ac.uk/handle/1826/13544
http://dspace.lib.cranfield.ac.uk/handle/1826/13544
Autor:
Shaun A. Forth, Marina Menshikova
Publikováno v:
Optimization Methods and Software. 27:323-335
We analyse the application of automatic differentiation (AD) to the quadrature (numerical integration) of a function integrand to determine the sensitivities of the integral to variations in the limits of integration. We derive an expression for the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ac6481d95446db03410335c53adb77c8
https://doi.org/10.1080/10556788.2011.561539
https://doi.org/10.1080/10556788.2011.561539
Publikováno v:
Optimization Methods and Software. 33:671-671
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::888b9aa80f781b0797fe633f69b25611
https://doi.org/10.1080/10556788.2018.1486553
https://doi.org/10.1080/10556788.2018.1486553
Publikováno v:
International Journal for Numerical Methods in Fluids. 47:1315-1321
In CFD, Newton solvers have the attractive property of quadratic convergence but they require derivative information. An efficient way of computing derivatives is by algorithmic differentiation (AD) also known as automatic differentiation or computat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7ef6e7569a543d945bbf1d602bfc7192
https://doi.org/10.1002/fld.927
https://doi.org/10.1002/fld.927
Autor:
Shaun A. Forth, Abhishek Kr. Gupta
Publikováno v:
Lecture Notes in Computational Science and Engineering ISBN: 9783642300226
LabVIEW(TM) is a visual programming environment for data acquisition, instrument control and industrial automation. This article presents LVAD, a graphically programmed implementation of forward mode Automatic Differentiation for LabVIEW. Our results
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cb68327cfec45aabe641aca2ae1eed4c
https://doi.org/10.1007/978-3-642-30023-3_26
https://doi.org/10.1007/978-3-642-30023-3_26
Publikováno v:
Lecture Notes in Computational Science and Engineering ISBN: 9783642300226
Recent Advances in Algorithmic Differentiation
Recent Advances in Algorithmic Differentiation
The proceedings represent the state of knowledge in the area of algorithmic differentiation (AD). The 31 contributed papers presented at the AD2012 conference cover the application of AD to many areas in science and engineering as well as aspects of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ebb636ebe685830bcd656ca0b4afe22f
https://doi.org/10.1007/978-3-642-30023-3
https://doi.org/10.1007/978-3-642-30023-3
Autor:
A. A. Wheeler, Shaun A. Forth
Publikováno v:
Journal of Fluid Mechanics. 236:61-94
In this paper we provide a detailed description of the interaction of solutal convection and morphological instability in the presence of a model boundary-layer flow. We present a detailed investigation of the structure of the marginal surfaces in Ra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7d8ca5ce42ec4b5eb17f33a31c38b01c
https://doi.org/10.1017/s0022112092001344
https://doi.org/10.1017/s0022112092001344
Publikováno v:
Advances in Automatic Differentiation ISBN: 9783540689355
The need for robust optimisation in aircraft conceptual design, for which the design parameters are assumed stochastic, is introduced. We highlight two approaches, first-order method of moments and Sigma-Point reduced quadrature, to estimate the mean
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9c882ddb70139a04dfc0f04660923555
http://dspace.lib.cranfield.ac.uk/handle/1826/3130
http://dspace.lib.cranfield.ac.uk/handle/1826/3130
Autor:
Shaun A. Forth
The Mad package described here facilitates the evaluation of first derivatives of multi-dimensional functions that are defined by computer codes written in MATLAB. The underlying algorithm is the well-known forward mode of automatic differentiation i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1e27fe9497f0fa796c9dbe12a92f3a77
http://dspace.lib.cranfield.ac.uk/handle/1826/4158
http://dspace.lib.cranfield.ac.uk/handle/1826/4158