Assessment of Uncertainty Propagation in the Dynamic Response of Single-Degree-of-Freedom Structures Using Reachability Analysis
Publication: Journal of Engineering Mechanics
Volume 140, Issue 6
Abstract
A novel method to compute the bounds of the response of structures to dynamic loads, including earthquakes, is presented. This method, based on reachability analysis, deterministically predicts the sets of states an elastic structural system can reach under uncertain dynamic excitation starting from uncertain initial conditions, where deterministic uncertainty ranges describe uncertainties. Ellipsoidal approximations of these reachable sets for three canonical dynamic problems are presented to demonstrate the applicability of this method to single-degree-of-freedom (SDOF) systems. The principle of superposition is formulated as a concatenation of ellipsoidal reachable sets using their semigroup properties. Using this extension, computation of the external (worst-case) ellipsoidal approximation of reachable sets for a SDOF system under earthquake excitation is presented. Possible applications of this method for software validation and hybrid simulation are discussed.
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Acknowledgments
The authors thank Dr. Alexander A. Kurzhanskiy for his useful conversations about ellipsoidal techniques for reachability analysis. They are also grateful to the anonymous reviewers of this article for their valuable comments. Funding for this work was provided in part by the National Science Foundation (NSF) through the George E. Brown Jr. Network for Earthquake Engineering Simulation (NEES) nees@berkeley Equipment Site capability enhancement project and by the Pacific Earthquake Engineering Research (PEER) Center. Any opinions, findings, and conclusions or recommendations expressed in this article are those of the authors and do not necessarily reflect those of the funding agencies.
References
Asarin, E., Dang, T., and Girard, A. (2003). “Reachability analysis of nonlinear systems using conservative approximation.” Hybrid systems: Computation and control, LNCS 2623, O. Maler and A. Pnueli, eds., Springer, Berlin, 20–35.
Aubin, J.-P. (1991). “Viability theory.” Systems and control: Foundations and applications, Birkhäuser, Boston.
Bayen, A. M., Crück, E., and Tomlin, C. J. (2002). “Guaranteed overapproximations of unsafe sets for continuous and hybrid systems: Solving the Hamilton-Jacobi equation using viability techniques.” Lecture notes in computer science hybrid systems: Computation and control, C. J. Tomlin and M. Greenstreet, eds., Vol. 2289, Springer, Berlin, 90–104.
Boyd, S. P. (2008). “Introduction to linear dynamical systems.” Stanford Univ., 〈http://www.stanford.edu/class/ee263/〉 (Feb. 8, 2008).
Bryant, R. E. (1986). “Graph-based algorithms for Boolean function manipulation.” IEEE Trans. Comput., C-35(8), 677–691.
Cardaliaguet, P., Quincampoix, M., and Saint-Pierre, P. (1999). “Set-valued numerical analysis for optimal control and differential games.” Annals of the International Society of Dynamic Games—Stochastic and differential games: Theory and numerical methods, M. Bardi, T. E. S. Raghavan, and T. Parthasarathy, eds., Birkhäuser, Boston, 177–248.
Chutinan, A., and Krogh, B. H. (2003). “Computational techniques for hybrid system verification.” IEEE Trans. Automat. Contr., 48(1), 64–75.
Crandall, M. G., Evans, L. C., and Lions, P.-L. (1984). “Some properties of viscosity solutions of Hamilton-Jacobi equations.” Trans. Am. Math. Soc., 282(2), 487–502.
Crandall, M. G., and Lions, P.-L. (1983). “Viscosity solutions of Hamilton-Jacobi equations.” Trans. Am. Math. Soc., 277(1), 1–42.
Hachem, M. (2010). Earthquake solutions, San Francisco. 〈http://eqsols.com/Bispec.aspx〉 (Feb. 16, 2008).
Henzinger, T. A., Ho, P. H., and Wong-Toi, H. (1998). “Algorithmic analysis of nonlinear hybrid systems.” IEEE Trans. Automat. Contr., 43(4), 540–554.
Hu, A. J., Dill, D. L., Drexler, A. J., and Yang, C. H. (1993). “Higher-level specification and verification with BDDS.” Computer Aided Verification: Lecture Notes in Computer Science, Vol. 663, Springer, Berlin, 82–95.
Isaacs, R. (1965). Differential games, Dover, New York.
Kurzhanski, A. B., and Vályi, L. (1997). Ellipsoidal calculus for estimation and control, Birkhäuser, Boston.
Kurzhanski, A. B., and Varaiya, P. (2002). “On ellipsoidal techniques for reachability analysis.” Optim. Methods Software, 17(2), 177–237.
Kurzhanskiy, A. A., and Varaiya, P. (2006). “Ellipsoidal toolbox (ET).” Proc., 45th IEEE Conf. on Decision and Control, IEEE, New York, 1498–1503.
Lygeros, J. (2004). “On reachability and minimum cost optimal control.” Automatica, 40(6), 917–927.
MATLAB 7.5.0.342 (R2007b) [Computer software]. Natick, MA, MathWorks.
Mitchell, I. (2000). Application of level set methods to control and reachability problems in continuous and hybrid systems, Stanford Univ., Stanford, CA.
Mitchell, I., Bayen, A. M., and Tomlin, C. J. (2005). “A time-dependent Hamilton-Jacobi formulation of reachable sets for continuous dynamic games.” IEEE Trans. Automat. Contr., 50(7), 947–957.
Osher, S., and Fedkiw, R. (2002). Level set methods and dynamic implicit surfaces, Springer-Verlag, New York.
Osher, S., and Sethian, J. A. (1988). “Fronts propagating with curvature-dependent speed: Algorithms based on Hamilton-Jacobi formulations.” J. Comput. Phys., 79(1), 12–49.
Pacific Earthquake Engineering Research (PEER) Center. (2008). PEER strong motion database, 〈http://peer.berkeley.edu/smcat/〉 (Feb. 12, 2008).
Saint-Pierre, P. (1994). “Approximation of the viability kernel.” Appl. Math. Optim., 29(2), 187–209.
Sethian, J. A. (1999). Level set methods and fast marching methods, Cambridge University Press, New York.
Shing, P.-S. B., and Mahin, S. A. (1990). “Experimental error effects in pseudodynamic testing.” J. Eng. Mech., 805–821.
Stojadinović, B., Mosqueda, G., and Mahin, S. A. (2006). “A event-driven control system for geographically distributed hybrid simulation.” J. Struct. Eng., 68–77.
Tomlin, C., Lygeros, J., and Sastry, S. (2000). “A game theoretic approach to controller design for hybrid systems.” Proc. IEEE, 88(7), 949–970.
Tomlin, C. J., Mitchell, I., Bayen, A. M., and Oishi, M. K. (2003). “Computational techniques for the verification and control of hybrid systems.” Proc. IEEE, 91(7), 986–1001.
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© 2014 American Society of Civil Engineers.
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Received: Feb 28, 2012
Accepted: May 29, 2013
Published online: Jun 1, 2013
Published in print: Jun 1, 2014
Discussion open until: Jul 3, 2014
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