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Relevant bibliographies by topics / Finite State Airload Theory

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Journal articles

Academic literature on the topic 'Finite State Airload Theory'

Author: Grafiati

Published: 6 September 2023

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Journal articles on the topic "Finite State Airload Theory"

1

Shang, Lina, Pinqi H. Xia, and Dewey H. Hodges. "Aeroelastic Response Analysis of Composite Blades Based on Geometrically Exact Beam Theory." Journal of the American Helicopter Society 64, no. 2 (2019): 1–14. http://dx.doi.org/10.4050/jahs.64.022007.

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The geometrically exact nonlinear beam theory consisting of the latest version of two-dimensional variational asymptotic beam sectional analysis (VABS) and one-dimensional geometrically exact beam theory (GEBT) has been widely used for the structural analysis of composite beam structures. The theory can be used for establishing the aeroelastic model of composite blades undergoing large deflections to improve computational accuracy and efficiency. In this paper, the theory has been extended from structural analysis to aeroelastic analysis of blade, and an accurate and efficient method for aeroe

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2

KIM, KYUNG-SEOK, IN-GYU LIM, IN LEE, and JAE-HAN YOO. "FLUID-STRUCTURE INTERACTION ANALYSIS OF A HIGH-ASPECT-RATIO WING CONSIDERING STRUCTURAL NONLINEARITY." Modern Physics Letters B 23, no. 03 (2009): 445–48. http://dx.doi.org/10.1142/s0217984909018618.

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In this research, fluid-structure interaction problem including geometric structural nonlinearity is studied for a high-aspect-ratio wing. When a high-aspect-ratio wing structure is interacted with external airload, geometric structural nonlinearity can be caused by large deflection of a wing. For the investigation of such a fluid-structure interaction problem, the transonic small disturbance theory for the aerodynamic analysis and the large deflection beam theory for the structural analysis are used, respectively. For the coupling between fluid and structure, the transformation of a displacem

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3

Zadeh, L. A. "Stochastic finite-state systems in control theory." Information Sciences 251 (December 2013): 1–9. http://dx.doi.org/10.1016/j.ins.2013.06.039.

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4

CALUDE, CRISTIAN S., KAI SALOMAA, and TANIA K. ROBLOT. "STATE-SIZE HIERARCHY FOR FINITE-STATE COMPLEXITY." International Journal of Foundations of Computer Science 23, no. 01 (2012): 37–50. http://dx.doi.org/10.1142/s0129054112400035.

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Finite-state complexity is a variant of algorithmic information theory obtained by replacing Turing machines with finite transducers. We consider the number of states needed for transducers used in minimal descriptions of arbitrary strings and, as our main result, show that the state-size hierarchy with respect to a standard encoding is infinite. We consider corresponding hierarchies yielded by more general computable encodings and establish that for a suitably chosen computable encoding every level of the state-size hierarchy can be strict.

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Ahmad, I., and M. K. Dhodhi. "State assignment of finite-state machines." IEE Proceedings - Computers and Digital Techniques 147, no. 1 (2000): 15. http://dx.doi.org/10.1049/ip-cdt:20000163.

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6

Giammarresi, Dora, and Antonio Restivo. "TWO-DIMENSIONAL FINITE STATE RECOGNIZABILITY." Fundamenta Informaticae 25, no. 3,4 (1996): 399–422. http://dx.doi.org/10.3233/fi-1996-253411.

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7

Jeanloz, Raymond. "Shock wave equation of state and finite strain theory." Journal of Geophysical Research 94, B5 (1989): 5873. http://dx.doi.org/10.1029/jb094ib05p05873.

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8

Stefanucci, G., and S. Kurth. "Steady-State Density Functional Theory for Finite Bias Conductances." Nano Letters 15, no. 12 (2015): 8020–25. http://dx.doi.org/10.1021/acs.nanolett.5b03294.

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9

Krishnamoorthy, M. S., James R. Loy, and John F. McDonald. "Optimal Differential Routing based on Finite State Machine Theory." VLSI Design 9, no. 2 (1999): 105–17. http://dx.doi.org/10.1155/1999/83648.

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Noise margins in high speed digital systems continue to erode. Full differential signal routing provides a mechanism for deferring these effects. This paper proposes a three stage routing process for solving the adjacent placement routing problem of differential signal pairs, and proves that it is optimal. The process views differential pairs as logical nets; routes the logical nets; then bifurcates the result to achieve a physical realization. Finite state machine theory provides the critical theoretical underpinning and formal proof of correctness necessary for linear time bifurcation. Regul

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10

Hao, Yiding. "Finite-state Optimality Theory: non-rationality of Harmonic Serialism." Journal of Language Modelling 7, no. 2 (2019): 49. http://dx.doi.org/10.15398/jlm.v7i2.210.

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