Efficient Sensitivity Analysis of Structures with Local Modifications. II: Transfer Functions and Spectral Densities
Publication: Journal of Engineering Mechanics
Volume 140, Issue 9
Abstract
The deterministic frequency response analysis and the stationary random vibration of large, linear structural models are often computationally intensive tasks. The computational expense is only exacerbated when stiffness and damping variabilities are present in the system’s description. This paper proposes an approach for the highly computationally efficient and accurate computation of the sensitivities, to changes in design parameters that are spatially localized within some small portion of the computational model, of the transfer functions (TFs), power spectral densities, and mean-square responses of a structural system. The proposed method is derived, first for system TFs and then their sensitivities; the corresponding spectral densities are then derived using the TF approach. Finally, the proposed method is applied to two examples, one simple model where exact solutions can be computed, and a second, more realistic, building example with a high-order model that causes significant difficulties for standard state-space (SS) approaches in MATLAB as a result of numerical inaccuracies in the computations for very high-order SS models. The proposed method is shown to be highly accurate, with relative errors on the order of , but is 4–6 orders of magnitude faster than conventional approaches.
Get full access to this article
View all available purchase options and get full access to this article.
Acknowledgments
The authors gratefully acknowledge the partial support of this work by the National Science Foundation through Award Nos. DMI 03-31145, CMMI 08-26634, and CMMI 11-00528. Any opinions, findings, and conclusions or recommendations expressed herein are those of the authors and do not necessarily reflect the views of the National Science Foundation.
References
Benfratello, S., Caddemi, S., and Muscolino, G. (2000). “Gaussian and non-Gaussian stochastic sensitivity analysis of discrete structural system.” Comput. Struct., 78(1–3), 425–434.
Cacciola, P., Colajanni, P., and Muscolino, G. (2005). “A modal approach for the evaluation of the response sensitivity of structural systems subjected to non-stationary random processes.” Comput. Meth. Appl. Mech. Eng., 194(42–44), 4344–4361.
Chaudhuri, A., and Chakraborty, S. (2004). “Sensitivity evaluation in seismic reliability analysis of structures.” Comput. Meth. Appl. Mech. Eng., 193(1–2), 59–68.
Gaurav and Wojtkiewicz, S. F. (2010). “Efficient spectral response of locally uncertain linear systems.” Probab. Eng. Mech., 25(4), 419–424.
Han, J. S. (2012). “Efficient frequency response and its direct sensitivity analyses for large-size finite element models using Krylov subspace-based model order reduction.” J. Mech. Sci. Technol., 26(4), 1115–1126.
Holmes, J. D. (1996). “Along-wind response of lattice towers—III. Effective load distributions.” Eng. Struct., 18(7), 489–494.
Johnson, E. A., and Wojtkiewicz, S. F. (2013). “Technical report: Efficient sensitivity analysis of structures with local modifications—Part II: Transfer functions and spectral densities.” Technical Rep. USC-CE-13-EAJ1b, Sonny Astani Dept. of Civil and Environmental Engineering, Univ. of Southern California, Los Angeles, 〈http://cee.usc.edu/johnsone/papers/sensitivity_freqdomain_report.pdf〉.
Kim, C.-W., and Bennighof, J. K. (2006). “Fast frequency response analysis of partially damped structures with non-proportional viscous damping.” J. Sound Vib., 297(3-5), 1075–1081.
Kim, C.-W., and Bennighof, J. K. (2007). “Fast frequency response analysis of large-scale structures with non-proportional damping.” Int. J. Numer. Methods Eng., 69(5), 978–992.
Liu, Q. (2012a). “Sensitivity and Hessian matrix analysis of evolutionary PSD functions for nonstationary random seismic responses.” J. Eng. Mech., 716–720.
Liu, Q. (2012b). “Sensitivity and Hessian matrix analysis of power spectral density functions for uniformly modulated evolutionary random seismic responses.” Finite Elem. Anal. Des., 48(1), 1370–1375.
MATLAB 8.1.0.604 2013a [Computer software]. Natick, MA, MathWorks.
Nalecz, A., and Wicher, J. (1988). “Design sensitivity analysis of mechanical systems in frequency domain.” J. Sound Vib., 120(3), 517–526.
Ozer, M. B., and Royston, T. J. (2005). “Application of Sherman–Morrison matrix inversion formula to damped vibration absorbers attached to multi-degree of freedom systems.” J. Sound Vib., 283(3-5), 1235–1249.
Qu, Z.-Q. (2000). “Hybrid expansion method for frequency responses and their sensitivities, Part I: Undamped systems.” J. Sound Vib., 231(1), 175–193.
Qu, Z.-Q. (2001). “Accurate methods for frequency responses and their sensitivities of proportionally damped systems.” Comput. Struct., 79(1), 87–96.
Qu, Z.-Q. (2007). “Adaptive mode superposition and acceleration technique with application to frequency response function and its sensitivity.” Mech. Syst. Sig. Process., 21(1), 40–57.
Qu, Z.-Q., and Selvam, R. P. (2000). “Hybrid expansion method for frequency responses and their sensitivities, Part II: Viscously damped systems.” J. Sound Vib., 238(3), 369–388.
Sharp, R., and Brooks, P. (1988). “Sensitivities of frequency response functions of linear dynamic systems to variations in design parameter values.” J. Sound Vib., 126(1), 167–172.
Ting, T. (1993). “Design sensitivity analysis of structural frequency response.” AIAA J., 31(10), 1965–1967.
Wojtkiewicz, S. F., Gaurav, and Odes, Q. I. (2011). “Efficient frequency response of locally uncertain linear structural systems.” J. Eng. Mech., 147–150.
Wojtkiewicz, S. F., and Johnson, E. A. (2014). “Efficient sensitivity analysis of structures with local modifications. I: Time domain responses.” J. Eng. Mech., 04014067.
Woodbury, M. (1950). “Inverting modified matrices.” Memorandum Rep. 42, Statistical Research Group, Princeton Univ., Princeton, NJ.
Information & Authors
Information
Published In
Copyright
© 2014 American Society of Civil Engineers.
History
Received: Jul 16, 2013
Accepted: Jan 3, 2014
Published online: Mar 5, 2014
Discussion open until: Aug 5, 2014
Published in print: Sep 1, 2014
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.