Academic literature on the topic 'Computational stability analysis'
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Journal articles on the topic "Computational stability analysis"
Zhu, Zhi-Qiang, and Sui Sun Cheng. "Stability analysis for multistep computational schemes." Computers & Mathematics with Applications 55, no. 12 (June 2008): 2753–61. http://dx.doi.org/10.1016/j.camwa.2007.10.024.
Full textHuang, Qi Wu, Cang Qin Jia, Bo Ru Xia, and Gui He Wang. "Novel Computational Implementations for Stability Analysis." Applied Mechanics and Materials 90-93 (September 2011): 778–85. http://dx.doi.org/10.4028/www.scientific.net/amm.90-93.778.
Full textWu, Zhou, Liu Zhijun, and Tang Lifang. "Computational Analysis of the Slope Stability of Flood Prevention and Bank Protection Engineering." International Journal of Engineering and Technology 8, no. 2 (February 2016): 137–40. http://dx.doi.org/10.7763/ijet.2016.v6.873.
Full textWu, Zhou, Liu Zhijun, and Tang Lifang. "Computational Analysis of the Slope Stability of Flood Prevention and Bank Protection Engineering." International Journal of Engineering and Technology 8, no. 2 (February 2016): 137–40. http://dx.doi.org/10.7763/ijet.2016.v8.873.
Full textLuyckx, L., M. Loccufier, and E. Noldus. "Computational methods in nonlinear stability analysis: stability boundary calculations." Journal of Computational and Applied Mathematics 168, no. 1-2 (July 2004): 289–97. http://dx.doi.org/10.1016/j.cam.2003.05.021.
Full textPolcz, Péter. "Computational Stability Analysis of Lotka-Volterra Systems." Hungarian Journal of Industry and Chemistry 44, no. 2 (December 1, 2016): 113–20. http://dx.doi.org/10.1515/hjic-2016-0014.
Full textChen, S. G., A. G. Ulsoy, and Y. Koren. "Computational Stability Analysis of Chatter in Turning." Journal of Manufacturing Science and Engineering 119, no. 4A (November 1, 1997): 457–60. http://dx.doi.org/10.1115/1.2831174.
Full textYim, Solomon C. S., Tongchate Nakhata, and Erick T. Huang. "Coupled Nonlinear Barge Motions, Part II: Stochastic Models and Stability Analysis." Journal of Offshore Mechanics and Arctic Engineering 127, no. 2 (May 1, 2005): 83–95. http://dx.doi.org/10.1115/1.1884617.
Full textJafri, M., Iswan Iswan, M. Rizki, and G. Susilo. "Slope stability analysis in Ulubelu Lampung using computational analysis program." Civil and Environmental Science 003, no. 01 (April 1, 2020): 051–59. http://dx.doi.org/10.21776/ub.civense.2020.00301.6.
Full textGerecht, D., R. Rannacher, and W. Wollner. "Computational Aspects of Pseudospectra in Hydrodynamic Stability Analysis." Journal of Mathematical Fluid Mechanics 14, no. 4 (November 29, 2011): 661–92. http://dx.doi.org/10.1007/s00021-011-0085-7.
Full textDissertations / Theses on the topic "Computational stability analysis"
Nikishkov, Yuri G. "Computational stability analysis of dynamical systems." Diss., Georgia Institute of Technology, 2000. http://hdl.handle.net/1853/12149.
Full textZhan, Bill Shili. "Computational mutagenesis models for protein activity and stability analysis." Fairfax, VA : George Mason University, 2007. http://hdl.handle.net/1920/2989.
Full textTitle from PDF t.p. (viewed Jan. 22, 2008). Thesis director: Iosif I. Vaisman. Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Bioinformatics. Vita: p. 140. Includes bibliographical references (p. 133-139). Also available in print.
ALVARENGA, JULIO ERNESTO MACIAS. "COMPUTATIONAL ANALYSIS OF THE STABILITY OF FRACTURED ROCK MASSES." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 1997. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=1929@1.
Full textO presente trabalho apresenta aplicações das técnicas de Relaxação Dinâmica e Análise Limite ao estudo da estabilidade de maciços rochosos fraturados. O maciço é modelado como um meio descontínuo formado por blocos rígidos com deformação concentrada nas juntas. A técnica de Relaxação Dinâmica é usada para a solução do problema de equilíbrio resultante, através do programa BLOCO. As expressões desenvolvidas para a matriz de rigidez tangente, usando o modelo de Barton & Bandis, foram implementadas no programa BLOCO. Exemplos para a validação do algoritmo são apresentados. A partir do trabalho de Faria (1992), foi implementado um procedimento automatizado e otimizado para a solução do problema de Análise Limite em um meio formado por blocos rígidos. O procedimento desenvolvido permitiu a solução de problemas de porte relatados na literatura.
This work presents some applications of the Dynamic Relaxation and Limit Analysis techniques, to the study of the stability of fractured rock masses. Rock mass is modeled as a discontinuum formed by rigid blocks with deformable joints. Dynamic Relaxation was applied to solve the resulting equilibrium problem, using the program BLOCO. Expressions obtained for tangent stiffness matrix, derived from Barton & Bandis model, were implemented into the BLOCO program. In order to extend Faria`s (1992) work, an automatic and optimized procedure, to solve the Limit Analysis problem of a media formed by rigid blocks was implemented. The developed procedure was applied to the study of relatively large dimensions problems, reported in the literature.
Este trabajo presenta aplicaciones de las técnicas de Relajación Dinámica y Análisis Límite al estudio de la estabilidad de macizos rocosos fracturados. EL macizo es modelado como un medio discontinuo formado por bloques rígidos con deformación concentrada en las juntas. La técnica de Relajación Dinámica se utiliza para resolver el problema de equilíbrio resultante, a través del programa BLOQUE. Las expresiones desarrolladas para la matriz de rígidez tangente, usando el modelo de Barton & Bandis, se implementaron en el programa BLOQUE. Se presentan algunos ejemplos para la evaluación del algoritmo. A partir del trabajo de Faria (1992), fue implementado un procedimiento automatizado y optimizado para la solución del problema de Análisis Límite en un medio formado por bloques rígidos. El procedimiento desarrollado permitió resolver problemas de porte relatados en la literatura.
Patruno, Luca <1986>. "Aeroelastic stability of structures: flutter analysis using Computational Fluid Dynamics." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2014. http://amsdottorato.unibo.it/6616/.
Full textKalavagunta, Sushma. "Computational algorithms for stability analysis of linear systems with time-delay /." free to MU campus, to others for purchase, 2003. http://wwwlib.umi.com/cr/mo/fullcit?p1418036.
Full textWang, Shaokang Jerry. "Analysis of Stability and Noise in Passively Modelocked Comb Lasers." Thesis, University of Maryland, Baltimore County, 2018. http://pqdtopen.proquest.com/#viewpdf?dispub=10840412.
Full textThe search for robust, low-noise modelocked comb sources has attracted significant attention during the last two decades. Passively modelocked fiber lasers are among the most attractive comb sources. The most important design problems for a passively modelocked laser include: (1) finding a region in the laser’s adjustable parameter space where it operates stably, (2) optimizing the pulse profile within that region, and (3) lowering the noise level. Adjustable parameters will typically include the cavity length, the pump power, and the amplifier gain, which may be a function of the pump power, the pump wavelength, and both the material and geometry of the gain medium.
There are two basic computational approaches for modeling passively modelocked laser systems: the evolutionary approach and the dynamical approach. In the evolutionary approach, which replicates the physical behavior of the laser, one launches light into the simulated laser and follows it for many round trips in the laser. If one obtains a stationary or periodically-stationary modelocked pulse, the laser is deemed stable and, if no such pulse is found, the laser is deemed unstable. The effect of noise can be studied by using a random number generator to add computational noise. In the dynamical approach, one first obtains a single modelocked pulse solution either analytically or by using the evolutionary approach. Next, one finds the pulse parameters as the laser parameters vary by solving a root-finding algorithm. One then linearizes the evolution equations about the steady-state solution and determines the eigenvalues of the linearized equation, which we refer to as the equation’s dynamical spectrum. If any eigenvalue has a positive real part, then the modelocked pulse is unstable. The effect of noise can be determined by calculating the noise that enters each of the modes in the dynamical spectrum, whose amplitudes are described by either a Langevin process or a random walk process.
The evolutionary approach is intuitive and straightforward to program, and it is widely used. However, it is computationally time-consuming to determine the stable operating regions and can give ambiguous results near a stability boundary. When evaluating the noise levels, Monte Carlo simulations, which are based upon the evolutionary approach, are often prohibitively expensive computationally. By comparison, the dynamical approach is more difficult to program, but it is computationally rapid, yields unambiguous results for the stability, and avoids computationally expensive Monte Carlo simulations. The two approaches are complementary to each other. However, the dynamical approach can be a powerful tool for system design and optimization and has historically been undertilized.
In this dissertation, we discuss the dynamical approach that we have developed for design and optimization of passively modelocked laser systems. This approach provides deep insights into the instability mechanisms of the laser that impact or limit modelocking, and makes it possible to rapidly and unambiguously map out the regions of stable operation in a large parameter space. For a given system setup, we can calculate the noise level in the laser cavity within minutes on a desktop computer.
Compared to Monte Carlo simulations, we will show that the dynamical approach improves the computational efficiency by more than three orders of magnitude. We will apply the dynamical approach to a laser with a fast saturable absorber and to a laser with a slow saturable absorber. We apply our model of a laser with a slow saturable absorber to a fiber comb laser with a semiconductor absorbing mirror (SESAM) that was developed at National Institute of Standards and Technology (NIST), Boulder, CO. We optimize its parameters and show that it is possible to increase its output power and bandwidth while lowering the pump power that is needed.
Boonpratatong, Amaraporn. "Motion prediction and dynamic stability analysis of human walking : the effect of leg property." Thesis, University of Manchester, 2013. https://www.research.manchester.ac.uk/portal/en/theses/motion-prediction-and-dynamic-stability-analysis-of-human-walking-the-effect-of-leg-property(f36922af-1231-4dac-a92f-a16cbed8d701).html.
Full textMergia, Woinshet D. "Robust computational methods to simulate slow-fast dynamical systems governed by predator-prey models." University of the Western Cape, 2019. http://hdl.handle.net/11394/7070.
Full textNumerical approximations of multiscale problems of important applications in ecology are investigated. One of the class of models considered in this work are singularly perturbed (slow-fast) predator-prey systems which are characterized by the presence of a very small positive parameter representing the separation of time-scales between the fast and slow dynamics. Solution of such problems involve multiple scale phenomenon characterized by repeated switching of slow and fast motions, referred to as relaxationoscillations, which are typically challenging to approximate numerically. Granted with a priori knowledge, various time-stepping methods are developed within the framework of partitioning the full problem into fast and slow components, and then numerically treating each component differently according to their time-scales. Nonlinearities that arise as a result of the application of the implicit parts of such schemes are treated by using iterative algorithms, which are known for their superlinear convergence, such as the Jacobian-Free Newton-Krylov (JFNK) and the Anderson’s Acceleration (AA) fixed point methods.
Hetver, Jan. "Studie řešení stability dřevěných konstrukcí." Master's thesis, Vysoké učení technické v Brně. Fakulta stavební, 2015. http://www.nusl.cz/ntk/nusl-227215.
Full textPadilla, Montero Ivan. "Analysis of the stability of a flat-plate high-speed boundary layer with discrete roughness." Doctoral thesis, Universite Libre de Bruxelles, 2021. https://dipot.ulb.ac.be/dspace/bitstream/2013/324490/5/contratPM.pdf.
Full textDoctorat en Sciences de l'ingénieur et technologie
info:eu-repo/semantics/nonPublished
Books on the topic "Computational stability analysis"
Subramanian, Ashok. The computational complexity of the circuit value and network stability problems. Stanford, Calif: Dept. of Computer Science, Stanford University, 1990.
Find full textBushenkov, V. A. Stabilization problems with constraints: Analysis and computational aspects. Australia: Gordon and Breach Science Publishers, 1997.
Find full textObodan, Natalia I. Nonlinear Behaviour and Stability of Thin-Walled Shells. Dordrecht: Springer Netherlands, 2013.
Find full textAkbarov, Surkay. Stability Loss and Buckling Delamination: Three-Dimensional Linearized Approach for Elastic and Viscoelastic Composites. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013.
Find full textOden, J. Tinsley. [Analysis and development of finite element methods for the study of nonlinear thermomechanical behavior of structural components]. [Washington, D.C: National Aeronautics and Space Administration, 1995.
Find full textYee, H. C. Dynamical approach study of spurious steady-state numerical solutions of nonlinear differential equations. [Washington, D.C: National Aeronautics and Space Administration, 1990.
Find full textYee, H. C. Dynamical approach study of spurious steady-state numerical solutions of nonlinear differential equations. [Washington, D.C: National Aeronautics and Space Administration, 1990.
Find full textKaszkurewicz, Eugenius. Matrix Diagonal Stability in Systems and Computation. Boston, MA: Birkhäuser Boston, 2000.
Find full textBrenner, Martin J. On-line robust modal stability prediction using wavelet processing. Edwards, Calif: National Aeronautics and Space Administration, Dryden Flight Research Center, 1998.
Find full textCoskun, Safa Bozkurt, ed. Advances in Computational Stability Analysis. InTech, 2012. http://dx.doi.org/10.5772/3085.
Full textBook chapters on the topic "Computational stability analysis"
Ochoa, O. O., F. Kozma, and J. J. Engblom. "Stability Analysis of Composite Plates." In Computational Mechanics ’86, 841–45. Tokyo: Springer Japan, 1986. http://dx.doi.org/10.1007/978-4-431-68042-0_120.
Full textSiddique, Nazmul. "Stability Analysis of Intelligent Controllers." In Studies in Computational Intelligence, 243–67. Cham: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-02135-5_9.
Full textBurmeister, A., and E. Ramm. "Dynamic Stability Analysis of Shell Structures." In Computational Mechanics ’88, 687–91. Berlin, Heidelberg: Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/978-3-642-61381-4_178.
Full textRiks, Eduard. "Numerical Aspects of Shell Stability Analysis." In Computational Mechanics ’88, 693–96. Berlin, Heidelberg: Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/978-3-642-61381-4_179.
Full textSchoenmaker, Wim. "Stability Analysis of the Transient Field Solver." In Computational Electrodynamics, 503–61. New York: River Publishers, 2022. http://dx.doi.org/10.1201/9781003337669-32.
Full textdel Hoyo, J., and J. Guillermo Llorente. "Stability Analysis and Forecasting Implications." In Decision Technologies for Computational Finance, 13–24. Boston, MA: Springer US, 1998. http://dx.doi.org/10.1007/978-1-4615-5625-1_2.
Full textZhang, Z., C. A. Tang, L. C. Li, T. H. Ma, and S. B. Tang. "Strength Reduction Method on Stability Analysis of Tunnel." In Computational Mechanics, 297. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-75999-7_97.
Full textManolis, G. D. "Stability Analysis of Plates and Shells." In Springer Series in Computational Mechanics, 193–220. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-45694-7_6.
Full textHairer, Ernst, and Gerhard Wanner. "Stability Analysis for Explicit RK Methods." In Springer Series in Computational Mathematics, 15–39. Berlin, Heidelberg: Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/978-3-642-05221-7_2.
Full textLong-yuan, Li, and Lu Wen-da. "Nonlinear Bifurcation Analysis for the Stability of Shells." In Computational Mechanics ’88, 817–18. Berlin, Heidelberg: Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/978-3-642-61381-4_207.
Full textConference papers on the topic "Computational stability analysis"
Riks, E., C. Rankin, E. Riks, and C. Rankin. "Computational tools for stability analysis." In 38th Structures, Structural Dynamics, and Materials Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1997. http://dx.doi.org/10.2514/6.1997-1138.
Full textGopal, Anshul, and Jagdish Chand Bansal. "Stability analysis of differential evolution." In 2016 International Workshop on Computational Intelligence (IWCI). IEEE, 2016. http://dx.doi.org/10.1109/iwci.2016.7860370.
Full textDegenhardt, R., F. C. de Araújo, Theodore E. Simos, George Psihoyios, and Ch Tsitouras. "Advances in Computational Stability Analysis of Composite Aerospace Structures." In ICNAAM 2010: International Conference of Numerical Analysis and Applied Mathematics 2010. AIP, 2010. http://dx.doi.org/10.1063/1.3498128.
Full textKunz, R., W. Cope, S. Venkateswaran, R. Kunz, W. Cope, and S. Venkateswaran. "Stability analysis of implicit multi-fluid schemes." In 13th Computational Fluid Dynamics Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1997. http://dx.doi.org/10.2514/6.1997-2080.
Full textMatsuda, Tadasuke, Hajime Matsui, Michihiro Kawanishi, and Tatsuo Narikiyo. "Computational complexity of robust schur stability analysis by the generalized stability feeler." In 2014 4th Australian Control Conference (AUCC). IEEE, 2014. http://dx.doi.org/10.1109/aucc.2014.7358643.
Full textEguchi, Keisuke, and Takeshi Fukusako. "Stability analysis of negative impedance converter." In 2017 IEEE International Conference on Computational Electromagnetics (ICCEM). IEEE, 2017. http://dx.doi.org/10.1109/compem.2017.7912760.
Full textDinesh, Sinai Agni Vishal, Ashok Bakshi, and Gajbir Singh. "Stability Analysis of Multi - Shell Fuselage." In 5th International Congress on Computational Mechanics and Simulation. Singapore: Research Publishing Services, 2014. http://dx.doi.org/10.3850/978-981-09-1139-3_245.
Full textRakić, D., M. Živković, S. Vulović, D. Divac, R. Slavković, and N. Milivojević. "EMBANKMENT DAM STABILITY ANALYSIS USING FEM." In 3rd South-East European Conference on Computational Mechanics. Athens: Institute of Structural Analysis and Antiseismic Research School of Civil Engineering National Technical University of Athens (NTUA) Greece, 2014. http://dx.doi.org/10.7712/130113.4395.s2119.
Full textRakić, Dragan, Miroslav Živković, Snežana Vulović, Dejan Divac, Radovan Slavković, and Nikola Milivojević. "EMBANKMENT DAM STABILITY ANALYSIS USING FEM." In 3rd South-East European Conference on Computational Mechanics. Athens: ECCOMAS, 2013. http://dx.doi.org/10.7712/seeccm-2013.2119.
Full textWagner, Tom, and John Valasek. "Comparison of Computational Methods for Stability and Control Analysis." In 43rd AIAA Aerospace Sciences Meeting and Exhibit. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2005. http://dx.doi.org/10.2514/6.2005-140.
Full textReports on the topic "Computational stability analysis"
Goldberg, Moshe, and Marvin Marcus. Stability Analysis of Finite Difference Approximations to Hyperbolic Systems, and Problems in Applied and Computational Matrix Theory. Fort Belvoir, VA: Defense Technical Information Center, July 1988. http://dx.doi.org/10.21236/ada200755.
Full textGoldberg, Moshe, and Marvin Marcus. Stability Analysis of Finite Difference Schemes for Hyperbolic Systems and Problems in Applied and Computational Linear Algebra. Fort Belvoir, VA: Defense Technical Information Center, July 1988. http://dx.doi.org/10.21236/ada201083.
Full textMarcus, Marvin, and Moshe Goldberg. Stability Analysis of Finite Difference Schemes for Hyperbolic Systems, and Problems in Applied and Computational Linear Algebra. Fort Belvoir, VA: Defense Technical Information Center, August 1985. http://dx.doi.org/10.21236/ada161092.
Full textGoldberg, Moshe, and Marvin Marcus. Stability Analysis of Finite Difference Approximations to Hyperbolic Systems,and Problems in Applied and Computational Matrix and Operator Theory. Fort Belvoir, VA: Defense Technical Information Center, December 1990. http://dx.doi.org/10.21236/ada230543.
Full textKhrushch, Nila, Pavlo Hryhoruk, Tetiana Hovorushchenko, Sergii Lysenko, Liudmyla Prystupa, and Liudmyla Vahanova. Assessment of bank's financial security levels based on a comprehensive index using information technology. [б. в.], October 2020. http://dx.doi.org/10.31812/123456789/4474.
Full textKassoy, David, and Josette Bellan. Theoretical Innovations in Combustion Stability Research: Integrated Analysis and Computation. Fort Belvoir, VA: Defense Technical Information Center, April 2011. http://dx.doi.org/10.21236/ada547053.
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