Università degli Studi di Trento July. 2-6, 2012

Course on: «Identification and Control of Dynamical Systems»

« Reference list »

Rosario Ceravolo

Politecnico di TorinoDep. Structural, Geotechnical and Building Engineering

Structural Health Monitoring- Boller, Chang and Fujino eds, 2009. Encyclopedia of Structural Health Monitoring, J.Wiley & Sons, Chichester, UK.

References

Output-only identification techniques- Asmussen, J. C. (1997). “Modal analysis based on random decrement technique.” PhDthesis, Department of Building Technology and Structural Engineering, Aalborg University, Denmark.

- Bonato, P., Ceravolo, R., and De Stefano, A. (1997). “Time-frequency and ambiguityfunction approaches in structural identification.”, Journal of Engineering Mechanics (ASCE), 123(12),1260-1267.

- Brincker, R., De Stefano, A., and Piombo, B. (1996). "Ambient data to analyze thedynamic behavior of bridges: a first comparison between different techniques." Proc. 14thInternational Modal Analysis Conference, Society for Experimental Mechanics (SEM), Dearborn,Michigan, 477-482.

- Brincker, R., Krenk, S., and Jensen, J. L. (1991). “Estimation of correlation functions bythe random decrement technique.” Proc. 9th International Modal Analysis Conference and Exhibit,Society for Experimental Mechanics (SEM), Florence, Italy, April 14-18.

- Ceravolo, R. (2004). "Use of instantaneous estimators for the evaluation of structuraldamping.”, J. Sound Vib., 274(1-2), 385-401.

- Ceravolo, R., De Stefano, A. and Molinari, F. (2001). "Developments and comparisons onthe definition of an instantaneous damping estimator for structures under natural excitation.", KeyEng. Mat., 204-205, 231-240.

- Chiorino M.A., Ceravolo R., Spadafora A., Zanotti Fragonara L., Abbiati G., “DynamicCharacterization of Complex Masonry Structures: the Example of the Sanctuary of Vicoforte”, toappear on the International Journal of Architectural Heritage, 2010.

- Cole, H. A. (1968). “On-the-line analysis of random decrement vibrations.” AIAA Paper No68-288.

- Cunha, A., and Caetano, E., (eds) (2007). “Proc. of the experimental vibration analysis forcivil engineering structures (EVACES’07) conference”, FEUP, Porto.

- Deblauwe, F., and Allemang, R. J. (1985). “The polyreference time domain technique.”Proceedings of the 10th International Seminar on Modal Analysis, Part IV, Katholieke UniversiteitLeuven Belgium.

- Ewins, D. J. (2000). “Modal testing.” Research Studies Press LTD.

- Fassois, S. D., and Lee, J. E. (1993). “On the problem of stochastic experimental modalanalysis based on multiple-response data, Part II: the modal analysis approach.”, J. Sound Vib.,161(1), 57-87.

- Giorcelli, E., Fasana, A., Garibaldi, and L., Riva, A. (1994) “Modal analysis and systemidentification using ARMAV models”, Proc. 12th International Modal Analysis Conference, Society forExperimental Mechanics (SEM), Vol. I, Honolulu, Hawaii, U.S.A., 667-680.

- Golub, G. H., Van Loan, C. F. (1983). “Matrix computations,” The Johns HopkinsUniversity Press.

- James G.H., Carne G.T., and Lauffer J.P. (1995). “The natural excitation tecnique (NexT)for modal parameter extraction from operating structures”, Modal Analysis, 10, 260-277.

- Ibrahim, S. R., and Mikulcik, E. C. (1977). “A Method for the direct identification ofvibration parameters from the free response.”, The Shock and Vibration Bulletin, 47(4), 183-198.

- Juang., J. N., and Pappa, R. S. (1984). “An eigensystem realisation algorithm (ERA) formodal parameter identification and modal reduction.“ NASA/JPL Workshop on Identification andControl of Flexible Space Structures.

- Larimore W.E. (1990). “Canonical variate analysis in identification, filtering, and adaptivecontrol.” Proc, 29th Conference on Decision and Control, Hawaii, 596-604.

- Leuridan, J. M., Brown, D. L., and Allemang, R. J. (1985). “Time domain parameteridentification methods for linear modal analysis: a unifying approach.” ASME Paper Number 85-DET-90.

- Lew, J. S., Juang, J. N., and Longman, R. W. (1993). “Comparison of several systemidentification methods for flexible structures.”, J. Sound Vib., 167(3), 461-480.

- Ljung, L. (1999). “System identification theory.” Prentice Hall.

- Loh, C. H., Lin, C. Y., and Huang, C. C. (2000). “Time domain identification of framesunder earthquake loadings.”, J. Eng. Mech. (ASCE), 126(7), 693-703.

- Masri, S. F., Sassi, H., and Caughey, T.K. (1982). “Nonparametric identification of earlyarbitrary nonlinear system.” J.Appl.Mech.(ASME), 49, 619-628.

- Maia, N. M. M., and Silva, J. M. M. (1998). “Theoretical and experimental modalanalysis.” Research Studies Press LTD.

- Natke, H. G., and Yao, J. T. P. (1986). “Research topics in structural identification.” Proc.,3rd Conf. On Dyn. Response of Struct., American Society of Civil Engineers (ASCE), New York, 542-550.

- Peeters, B., and DeRoeck, G. (1999). “Reference-based stochastic subspaceidentification for output-only modal analysis.” Mech. Sys. Sig. Proc. 13, 855-878.

- Ruocci G., Ceravolo R., De Stefano A., “Modal identification of an experimental model ofmasonry arch bridge”, Key Engineering Materials, Vols. 413-414, pp. 707-714, 2009.

- Shinozuka, M., Yum, C. B., and Imai, H. (1982). “Identification of linear structural dynamicsystems.” J. Engrg. Mech. Div., ASCE, 108(6), 1371-1390.

- Van Overschee P., and De Moor B. (1996). “Subspace identification for linear systems:theory – implementation – applications.”, Kluwer Academic Press Dordrecht (The Netherlands),

- Vold, H., Kundrat, J., Rocklin, G. T., and Russell, R. (1982). “A multi-input modalestimation algorithm for mini-computers.” SAE Paper Number 820194.

- Yuen K.-V., Beck J.L., and Katafygiotis, L.S. (2002). “Probabilistic approach for modalidentification using non-stationary noisy response measurements only.”, Earth. Eng. Struc. Dyn.,31(4), 1007-1023.

- Zeiger H.P., and McEwen A.J. (1974). “Approximate linear realisations of given dimensionvia Ho’s algorithm.”, IEEE Transactions on Automatic Control, AC-19-2, 153.

Signal analysis- Papoulis A, Signal analysis. McGraw-Hill Companies, 1977.

- Oppenheim AV and Schafer RW, Discrete-time signal processing. Prentice Hall, 1989.

- Proakis JG and Manolakis DG, Digital Signal Processing, Prentice Hall, 2006.

Time-frequency analysis and identification-Cohen L. Time-Frequency Analysis; Prentice-Hall, Inc.: Englewood Cliffs, NJ, 1995.

- Hammond J.K., Waters T.P. Signal processing for experimental modal analysis. PhilosophicalTransactions of the Royal Society 2001 A359: 41-59.

- Sohn H., Farrar C.R., Hemez F.M., Shunk D.D., Stinemates D.V., Nadler B.R. A review of structuralhealth monitoring literature: 1996-2001. Los Alamos National Laboratory Report, LA-13976-MS,2003.

- Jardine A.K.S., Lin D., Banjevic D. A review on machinery diagnostics and prognosticsimplementing condition-based maintenance. Mechanical Systems and Signal Processing 2006 20:1483-1510.

- Hlawatsch F., Boudreaux-Bartels G.F. Linear and quadratic time-frequency signal representations.IEEE Signal Processing Magazine 1992 9(2): 21-67.

- Auger F., Flandrin P., Goncalves P., Lemoine O. Time-Frequency Toolbox for MATLAB. Freewareavailable at the URL http://tftb.nongnu.org, 1998.

- Spina D., Valente C., Tomlinson G.R. A new procedure for detecting nonlinearity from transient datausing Gabor transform. Nonlinear Dynamics 1996 11: 235–254.

- Ceravolo R. Use of instantaneous estimators for the evaluation of structural damping. Journal ofSound and Vibration 2004 274: 385-401.

- Gabor D. Theory of communication. Journal of IEE (London) 1946 93: 429-457.

- Feichtinger H.H., Strohmer T. (eds). Gabor Analysis and Algorithms; Theory and Applications.Birkhäuser: 1998.

- Carmona R., Hwang W.L., Torrésani B. Practical Time-Frequency Analysis; Academic Press: NewYork, 1998.

- Newland D.E. Ridge and phase identification in the frequency analysis of transient signals byharmonic wavelets. Journal of Vibration and Acoustics 1999 121: 149-155.

- Erlicher S., Argoul P. Modal identification of linear non-proportionally damped systems by wavelettransform. Mechanical Systems and Signal Processing 2007 21: 1386-1421.

- Loughlin P.J., Pitton J.W., Atlas L.E. Bilinear time-frequency representations: new insights andproperties. IEEE Trans. on Signal Processing 1993 41: 750-766.

- Claasen T.A., Mecklenbrauker W.F. The Wigner distribution - A tool for time-frequency analysis; partIII: relations with other time-frequency signal transformations. Philips Journal Research 1980 35: 372-389.

- Mecklenbrauker W.F., Hlawatsch F. (eds.). The Wigner Distribution. Theory and Applications inSignal Processing; Elsevier: Amsterdam, 1997.

- Bonato, P. Ceravolo, R. De Stefano, A. Knaflitz, M. Bilinear time-frequency trasformations in theanalysis of damaged structures. Mechanical Systems and Signal Processing 1997 11: 509-527.

- Boashash B. (ed.). Time Frequency Signal Analysis and Processing. A Comprehensive Reference;Elsevier: Oxford, 2003.

- Martin W., Flandrin P. Wigner-Ville spectral analysis of non-stationary processes. IEEE Trans. Sig.Proc. 1989 33: 1461-1470.

- Flandrin P., Martin. W. The Wigner-Ville spectrum of nonstationary random signals, inMecklenbrauker W.F., Hlawatsch F. (eds.). The Wigner distribution. Theory and applications in signalprocessing. Elsevier: Amsterdam, 1997; 211-267.

- Janssen A.J. Positivity and spread of bilinear time-frequency distributions, in Mecklenbrauker W.F.,Hlawatsch F. (eds.). The Wigner distribution. Theory and applications in signal processing. Elsevier:Amsterdam, 1997; 1-58.

- Mallat S., Papanicolaou G., Zhang Z. Adaptive covariance estimation of locally stationaryprocesses. The Annals of Statistics 1998 28: 1-47.

- Dahlhaus R.. Fitting time series models to nonstationary processes. The Annals of Statistics 199725: l-37.- Kozek W. Time-frequency signal processing based on the Wigner-Weyl framework. SignalProcessing 1996 29: 77-92.

- Priestley M.B. Power spectral analysis of non-stationary random processes. Journal of Sound andVibration 1967 6: 86-97.

- Hammond J.K, White P.R. The analysis of non-stationary signals using time-frequency methods.Journal of Sound and Vibration 1996 190: 419-447.

- Dalianis S.A., Hammond J.K., White P.R., Cambourakis G.B. Simulation and identification ofnonstationary systems using linear time-frequency methods. Journal of Vibration and Control 1998 4:75-91.

- Bonato P., Ceravolo R., De Stefano A., Molinari F. Use of cross time-frequency estimators for thestructural identification in non-stationary conditions and under unknown excitation. Journal of Soundand Vibration 2000 237: 775-791.

- Bonato P., Ceravolo R., De Stefano A., Molinari F. Cross time-frequency techniques for theidentification of masonry buildings. Mechanical Systems and Signal Processing 2000 14: 91-109.

- Choi H.I., Williams W.J. Improved time-frequency representation of multicomponent signals usingexponential kernels. IEEE Trans. on Acoust., Speech, Signal Processing 1989 37: 862-871.

- Cohen L. Time-Frequency Distribution: a Review. Proc. of IEEE 1989 77: 941-981.

- Boudreaux-Bartels G.F., Parks T.W. Time-Varying filtering and signal estimation using Wignerdistribution synthesis techniques. IEEE Trans. on Acoust., Speech, Signal Processing 1986 34: 442-451.

- Ceravolo R., Demarie G.V., Erlicher S. Instantaneous identification of Bouc-Wen-type hystereticsystems from seismic response data. Key Engineering Materials 2007 347: 331-338.

- Juang J.N. Applied System Identification; Prentice-Hall, Inc.: Englewood Cliffs, NJ, 1994.

- Cole H.A.. On-The-Line Analysis of Random Decrement Vibrations. AIAA Paper 1968 68-288.

- Ceravolo R., Time-Frequency Analysis, Chapter 26 of the Encyclopedia of Structural HealthMonitoring, Boller, Chang and Fujino eds, 2009. J. Wiley & Sons, Chichester, UK.

Time-frequency identification of non-linear systemsBellizzi, S., Defilippi, M., 2003, “Non-linear mechanical system identification using linear systems with randomparameters”, Mechanical Systems and Signal Processing, 17(1), 203-210.Boashash, B., Powers, E. J., Zoubir, A. M. (ed.), 1995, Higher order statistical signal processing, Longman AustraliaPty Ltd.Ceravolo, R. 2009, “Time-Frequency Analysis”, in Encyclopedia of Structural Health Monitoring, Wiley & Sons.Chatterjee, A., Vyas, N. S., 2004, “Non-linear parameter estimation in multi-degree-of-freedom systems using multi-input Volterra series”, Mechanical Systems and Signal Processing 18, 457-489.Collis, W. B., White, P. R., Hammond, J. K., 1998, “Higher-order spectra: the bispectrum and trispectrum”, MechanicalSystems and Signal Processing, 12(3), 375-394.Demarie, G. V., Ceravolo, R., De Stefano, A. 2005, “Instantaneous identification of polynomial nonlinearity based onVolterra series representation”, Key Engineering Materials, 293-294, 703-710.Golinval, J.-C., Kerschen, G., Lenaerts, V., Thouverez, F., Argoul, P., 2003, “European COST action F3 on structuraldynamics. Working group 3: identification of non-linear systems. Introduction and Conclusions”, Mechanical Systemsand Signal Processing, 17(1), 251-254.Kim, S. B., Powers, E. J., 1993, “Frequency-Domain Volterra Kernel Estimation via Higher-order Statistical SignalProcessing”, IEEE Transactions on Signal Processing, 41, 446-450.Koukoulas, P., Kalouptsidis, N., 2000, “Second-Order Volterra System Identification”, IEEE Trans. on SignalProcessing, 48(12), 3574-3577.Rugh, W. J., 2002, Nonlinear system theory. The Volterra/Wiener approach. (Web version:http://www.ece.jhu.edu/~rugh/volterra/book.pdf).Schetzen, M., 1980, The Volterra/Wiener Theories of Nonlinear Systems, Krieger Publishing company, Malabar.Tawfiq, I., Vinh, T., 2003, “Contribution to Extension of Modal Analysis to Non-linear Structure Using Volterra Series”,Mechanical Systems and Signal Processing, 17(2), 379-407.Thouverez, F., 2003, “Presentation of the ECL benchmark”, Mechanical Systems and Signal Processing, 17(1), 195-202.Thouverez, F., Jezequel, L., 1998, “Identification of a localized non-linearity”, International Journal of Non-LinearMechanics, 33(6), 935-945.Tick, L. J., 1961, “The estimation of transfer functions of quadratic system”, Technometrics, 3, 563-567.

Algorithms for the semidiscrete dynamics equation

Erlicher S., Bonaventura L., Bursi O.S., (2002), The analysis of Generalized- methods for non-linear dynamic problems,Computational Mechanics, Vol. 28, n° 2, pp. 83-104.

Baldo G., Bonelli A., Bursi O.S., Erlicher S. (2006), The accuracy of the Generalized- method in the time-integration of non-linear Single- and Two-DOF systems, Computational Mechanics, Vol. 38, n° 1, pp. 15-31.

Chung J., Hulbert G.M. (1993) A time integration algorithm for structural dynamics with improved numerical dissipation:the generalized- method. J. Appl. Mech. 60: 371–375

Hairer E., Nørsett S.P., Wanner G. (1987) Solving Ordinary Differential Equations I. Springer-Verlag, BerlinHairer E., Wanner G. (1991) Solving Ordinary Differential Equations II. Springer-Verlag, Berlin

Hughes T.J.R., (1987), The Finite Element Method, Linear Static and Dynamic Finite Element Analysis. Prentice-Hall, Upper Saddle River, New Jersey.Wood W.L. (1990) Practical Time-Stepping Schemes. Clarendon Press, Oxford.

Hysteretic models

A. Visintin, Differential models of hysteresis, Springer-Verlag, Berlin 1994.I.D. Mayergoyz, Mathematical models of hysteresis, Springer, New York 1991.R. Bouc, Modèle mathématique d’hystérésis, Acustica 24 (1971) 16–25.

Y.-K. Wen, Method for random vibration of hysteretic systems, J. Eng. Mech. Div. ASCE 102 (1976) 249–263.

M.V. Sivaselvan, A.M. Reinhorn, Hysteretic models for deteriorating inelastic structures, J. Eng. Mech. 126 (6) (2000) 633–640.

F. Casciati, Stochastic dynamics of hysteretic media, Struct. Safety 6 (1989) 259–269.

G. Ahmadi, F.-G. Fan, M.-N. Noori, A thermodynamically consistent model for hysteretic materials, Iranian J. Sci. Tech. 21 (3)(1997) 257–278.

Hysteretic modelsCaughey, T.K., (1960); Random excitation of a system with bilinear hysteresis. Journal of Applied Mechanics, 27(4), pp.649-652.Caughey, T.K., (1960); Sinusoidal excitation of a system with bilinear hysteresis. Journal of Applied Mechanics, 27(4), pp.640-643.Iwan, W.D., (1965); The steady-state response of a two-degree-of-freedom bilinear hysteretic system. Journal of AppliedMechanics, 32, pp. 151-156.Masri, S.F., (1975); Forced vibration of the damped bilinear hysteretic oscillator. Journal of the Acoustic Society Am., 57, p.106.Pratap, R., Mukherjee, S., Moon, F.C., (1994); Dynamic behavior of a bilinear hysteretic elasto-plastic oscillator. Part 1:Free oscillations. Journal of Sound and Vibrations, 172(3), pp. 321-337.Iwan, W.D., Asano, K., (1984); An alternative approach to the random response of bilinear hysteretic systems. EarthquakeEngineering & Structural Dynamics, 12(2), pp. 229-236, doi: 10.1002/eqe.4290120207.Ibarra, L.F., Medina, R.A., Krawinkler, H., (2005); Hysteretic models that incorporate strength and stiffness deterioration.Earthquake Engineering and Structural Dynamics, 34, pp. 1489-1511, doi: 10.1002/eqe.495.Clough, R.W., Johnston, S.B., (1966); Effect of stiffness degradation on earthquake ductility requirements. Proceedings ofJapan Earthquake Engineering Symphosium, Tokyo, pp. 227-232.Cifuentes, A., (1984); System identification of hysteretic structures. California Institute of Technology, Pasadena, CA PhDThesis.Takeda, T., Sozen, M.A., Nielsen, N.N., (1970); Reinforced Concrete Response to Simulated Earthquakes. ASCE Journalof the Structural Division, 96(ST12), pp. 2557-2573.Otani, S., (1974); SAKE, A computer program for inelastic response of R/C Frames to Earthquakes. University of Illinois,Urbana-Champaign Report UILU-Eng-74-2029.Saiidi, M., Sozen, M.A., (1979); Simple and Complex Models for Nonlinear Seismic Response of Reinforced ConcreteStructures. University of Illinois, Urbana Report No. UILU-ENG-79-2013.Iwan, W.D., Cifuentes, A.O., (1986); A model for system identification of degrading structures. Earthquake Engineering &Structural Dynamics, 14, pp. 877-890.Iwan, W.D., (1967); On a Class of Models for the Yielding Behavior of Continous and Composite Systems. ASME Journal ofApplied Mechanics, 34(3), pp. 612-617.

Masing, G., (1926); Eigenspannungen und verfestigung beim messing (Self stretching and hardening for brass).Proceedings of 2nd International Congress for Applied Mechanics, Zurich, pp. 332-335.Ashrafi, S.A., Smyth, A.W., (2007); Generalized Masing approach to modeling hysteretic deteriorating behavior. ASCEJournal of Engineering Mechanics, 133(5), p. 495.Jayakumar, P., (1987); Modeling and identification in structural dynamics. California Institute of Technology, PasadenaReport No. eer1 87-01, PhD dissertation.Vucetic, M., (1990); Normalized behavior of clay under irregular cyclic loading. Canadian Geotechnical Journal, 27(1), pp.29-46.Thyagarajan, R.S., (1990); Modeling and analysis of hysteretic structural behaviour. California Institute of Technology,Pasadena Report No. EERL 89-03, PhD dissertation.Chiang, D.Y., (1992); Parsimonious modeling of inelastic systems. California Institute of Technology, Pasadena Report No.EERL 92-02, PhD dissertation.Ramberg, W., Osgood, W.R., (1943); Description of Stress-Strain Curves by Three Parameters. National AdvisoryCommittee on Aeronautics, Technical Note No. 902.Jennings, P.C., (1963); Response of simple yielding structures to earthquake excitation. California Institute of Technology,Pasadena PhD dissertation.Matzen, V.C., McNiven, H.D., (1976); Investigation of the Inelastic Characteristics of a Single Story Steel Structure usingSystem Identification and Shaking Table Experiments. Earthquake Engineering Research Center, University of California,Berkeley Report No. EERC 72-20.Bouc, R., (1971); Modèle mathématique d'hystérésis. Acustica, 24, pp. 16-25.Wen, Y.K., (1976); Method of random vibration of hysteretic systems. ASCE J. of Eng. Mech., 102, pp. 249-263.Heine, C.P., (2001); Simulated response of degrading hysteretic joints with slack behaviour. Virginial Polytechnic Instituteand State University, Blacksburg, Virginia PhD Thesis.Baber, T.T., Wen, Y.K., (1980); Stochastic Equivalent Linearization for Hysteretic, Degrading, Multistory Structures.University of Illinois, Urbana-Champaign Report No. 471 UILU-ENG-80-2001.Erlicher, S., Point, N., (2004); Thermodynamic admissibility of Bouc-Wen-type hysteresis models. Comptes RendusMécanique, 332(1).Erlicher, S., Point, N., (2006); Endochronic theory, non-linear kinematic hardening rule and generalized plasticity: a newinterpretation based on a generalized normality assumption. International Journal of Solids and Structures, 43(14-15), pp.4175-4200.

Erlicher, S., Bursi, O.S., (2007); Bouc-Wen-type models with stiffness degradation: thermodynamic analysis andapplications. ASCE Journal of Engineering Mechanics.Baber, T.T., Wen, Y.K., (1981); Random vibrations on hysteretic, degrading systems. J. of Eng. Mech. Div., 107(6), pp.1069-1087.Wen, Y.K., (1980); Equivalent Linearization for Hysteretic System under Random excitation. Journal of Applied Mechanics,47, pp. 150-154.Baber, T.T., Noori, M.N., (1985); Random vibration of degrading pinching systems. J. of Eng. Mech., 111(8), pp. 1010-1026.Foliente, G.C., (1995); Hysteresis Modeling of Wood Joints and Structural Systems. J. Struct. Engineering, 121(6), pp.1013-1022.Sivaselvan, M.V., Reinhorn, A.M., (2000); Hysteretic models for deteriorating inelastic structures. Journal of EngineeringMechanics, 126, pp. 633-640.Li, S.J., Suzuki, Y., Noori, M., (2004); Identification of hysteretic systems with slip using bootstrap filter. Mech. Sys. andSignal Process., 18(4), pp. 781-795.Ceravolo, R., Zanotti Fragonara, L., Erlicher, S., Bursi, O.S., (2011); Parametric identification of damaged dynamic systemswith hysteresis and slip. Journal of Physics: Conference Series, 305, pp. 1-10, doi: 10.1088/1742-6596/305/1/012050.Bursi, O.S., Ceravolo, R., Erlicher, S., Zanotti Fragonara, L., (2012); Identification of the hysteretic behaviour of a partial-strength steel-concrete moment-resisting frame structure subject to pseudodynamic tests. Earthquake Engineering &Structural Dynamics, In press.Sivaselvan, M.V., Reinhorn, A.M., (2000); Hysteretic Models for Deteriorating Inelastic Structures. J. of EngineeringMechanics, 126(6), pp. 633-640.Ikhouane, F., Mañosa, V., Rodellar, J., (2007); Dynamic properties of the hysteretic Bouc-Wen model. Systems & ControlLetters, 56, pp. 197-205.Erlicher, S., Point, N., (2008); Pseudo potentials and loading surfaces for an endochronic plasticity theory with isotropicdamage. J.of Engrg. Mech., 134(10), pp. 832-842.Erlicher, S., Bursi, O.S., (2008); Bouc-Wen-type models with stiffness degradation: thermodynamic analysis andapplications. J. of Eng. Mech., 134(10), pp. 843-855.Chen, W.-F., Ting, E.C., (1980); Constitutive Models for Concrete Structures. ASCE Journal of the Engineering MechanicsDivision, 106(1), pp. 1-19.

Time-frequency identification of nonlinear and hysteretic systemsA.G. Chassiakos, S.F. Masri, A.W. Smyth, J.C. Anderson Adaptive methods for the identification of hystereticstructures. 1995, Proc. American Control Conference, Seattle: 2349-2353.

A.W. Smyth, S.F. Masri, E. Kosmatopoulos, A.G. Chassiakos, T.K. Caughey Development of adaptive modellingtechniques for non-linear hysteretic systems. 2002, Int. J. Nonlin. Mech. 37: 1435-1451.

A. Kyprianou, K., Worden, M. Panet Identification of hysteretic systems using differential evolution algorithm. 2001, JSound Vib. 248(2): 289-314.

F. Benedettini, D. Capecchi, F. Vestroni Use of different state variables in nonparametric identification of hystereticsystems. 1991, in Identification of Nonlinear Mechanical Systems from Dynamical Tests (Ed: L. Jezequel & C.H.Lamarque), Balkema: 103-109.

S.F. Masri, J.P. Caffrey, T.K. Caughey, A.W. Smyth, A.G. Chassiakos Identification of the state equation in complexnon-linear systems. 2004, Int. J. Nonlin. Mech., 39: 1111-1127.

J.-S. Pei, A.W. Smyth, E. Kosmatopoulos Analysis and modification of Volterra/Wiener neural networks for theadaptive identification of non-linear hysteretic dynamic systems. J. Sound Vib., 275: 693-718.

S. Saadat, G.D. Buckner, T. Furukawa, M.N. Noori An intelligent parameter varying (IPV) approach for non-linearsystem identification of base excited structures. 2004, Int. J. Nonlin. Mech., 39: 993-1004.

M. Wu, A.W. Smyth Application of the unscented Kalman filter for real-time nonlinear structural system identification.2008, Structural Control and Health Monitoring. 14(7): 971-990.

R. Ceravolo, G.V. Demarie, S. Erlicher, S. Instantaneous Identification of Bouc-Wen-type Hysteretic Systems fromSeismic Response Data. 2007, Key Eng. Mater., 347: 331-338.

R. Ceravolo, G. V. Demarie, S. Erlicher Instantaneous identification of degrading hysteretic oscillators underearthquake excitation, Structural Health Monitoring 2010, 9(5): 447-463..

O.S. Bursi, S. Caramelli, G. Fabbrocino, J. Molina, W. Salvatore, F. Taucer, R. Zandonini 3D full-scale seismic testingof a steel-concrete composite building at ELSA. 2004, Report No. EUR 21299 EN, Joint Research Center, Institute forthe Protection and the Security of the Citizen, European Laboratory for Structural Assessment (ELSA), Ispra, VA, Italy.

A. Braconi, O.S. Bursi, G. Fabbrocino, W. Salvatore, R. Tremblay Seismic performance of a 3D full-scale high-ductilitysteel–concrete composite moment-resisting structure - Part I: Design and testing procedure. 2008, EarthquakeEngineering and Structural Dynamics, 37: 1609-1634.

A. Braconi, O.S. Bursi, G. Fabbrocino, W. Salvatore, F. Taucer and R. Tremblay Seismic performance of a 3D full-scale high-ductilitysteel–concrete composite moment-resisting structure - Part II: Test results and analytical validation.2008, Earthquake Engineering and Structural Dynamics, 37: 1635-1655.

F. Benedettini, D. Capecchi, F. Vestroni Identification of hysteretic oscillators under earthquake loading bynonparametric models. 1995, J. Engrg. Mech., (121): 606-612.

G.V. Demarie, R. Ceravolo, A. De Stefano Instantaneous identification of polynomial nonlinearity based on Volterraseries representation. 2005, Key Engineering Materials, 293-294: 703-710.

M. Schetzen The Volterra and Wiener Theories of Non-Linear Systems, Wiley, New York, 1980.

J.A. Vazquez Feijoo, K. Worden, R. Stanway Identification of MDOF Nonlinear Systems using Associated LinearEquations (ALEs), part 1: Obtaining the ALEs from a MDOF Continuous Nonlinear System. 2002, Proceedings ofISMA 2002, Katholieke Universiteit Leuven, Belgium, 1213-1221.

J.A. Vazquez Feijoo, K. Worden, R. Stanway Associated linear equations for Volterra operators. 2005, MechanicalSystems and Signal Processing, 19(1): 57-69.

L. Cohen Time-Frequency Analysis, Prentice-Hall, Inc., Englewood Cliffs, NJ 076, USA, 1995.

Erlicher S., Bursi O.S. (2008). "Bouc-Wen-type models with stiffness degradation: thermodynamic analysis andapplications." Journal of Engineering Mechanics-ASCE, 134(10), 843-855.

A.Visintin Differential Models of Hysteresis, Springer-Verlag, Berlin, 1994.

O.S. Bursi, R. Ceravolo, F.J. Molina, M. Molinari, Role and application of testing and computational techniques inseismic engineering, Chapter 38 in Advances in Performance-Based Earthquake Engineering, Vol.13 Book SeriesGeotechnical, Geological, and Earthquake Engineering.

Dynamic monitoring and structure management: symptom based approachesto SHM and life-cycle costs.Nowak, A. S., Collins, K. R., 2000. Reliability of Structures. Mc Graw Hill International Editions

Diamantidis D. et al., 2001. Probabilistic Assessment of Existing Structures, Joint Committee on Structural Safety(JCSS), RILEM publications.

Faber M.H., Sørensen, J.D., 2002. Indicators for inspection and maintenance planning of concrete structures,Structural Safety 24 (4), 377–396.

Straub D., Faber M.H., 2005. Risk Based Inspection Planning for Structural Systems. Structural Safety, 27(4), 335–355.

Lawless, J.F., 1982. Statistical models and methods for lifetime data. J. Wiley & Sons, New York

Natke, H. G., Cempel, C., 1997. Model – Aided Diagnosis of Mechanical Systems. Springer, Germany

Boller, Chang and Fujino eds, 2009. Encyclopedia of Structural Health Monitoring, J. Wiley & Sons, Chichester, UK.

Maeck, J., Abdel Wahaba, M., Peeters B, De Roeck, G., De Visscherb, J., De Wilde, W. P., Ndambic, J.M.,Vantommec J., 2000. Damage identification in reinforced concrete structures by dynamic stiffness determination .Engineering Structures 22(10), 1339-1349

Sohn, H., Farrar, C.R., Hemez, F.M., Shunk, D.D., Stinemates, D.V., Nadler B.R., 2003. A review of structural healthmonitoring literature: 1996-2001. Los Alamos National Laboratory Report, LA-13976-MS.

Cempel, C., Natke, H.G.,Yao, J.T.P., 2000. Symptom reliability and hazard for systems condition monitoring.Mechanical Systems and Signal Processing 14(3), 495 – 505

Cox, D.R., 1972. Regression model and life tables. Journal of the Royal Statistical Society B 34, 187-220

Kong, J.S., Frangopol D.M., 2004. Cost- reliability interaction in life – cycle cost optimization of deterioratingstructures. Journal of Structural Engineering 130 (11), 1704 – 1712

EN 1992-2:2005 Eurocode 2: Design of concrete structures - Part 2: Concrete bridges - Design and detailing rules

EN 1991-2:2003 Eurocode 1: Actions on structures - Part 2: Traffic loads on bridges

Mei, G., Qin, Q., Lin, D.J., 2004. Bimodal renewal processes models of highway vehicle loads. Reliability Engineering& System Safety, 83, 333 – 339

Ju, J.W., Monteiro P.J.M., Rashed A.I., 1989. Continuum damage of cement paste and mortar as affected by porosityand sand concentration. Journal of Engineering Mechanics 115(1), 105 – 130

Di Pasquale, E., Ju, J.W., Askar A., Cakmak A.S., 1990. Relation between global damage indices and local stiffnessdegradation. Journal of Structural Engineering 116(5), 1440 - 1456

Lemaitre, J., 1984. How to use damage mechanics. Nuclear Engineering Design 80, 233 – 245

Cunha, A., Caetano, E., (eds), 2007. Proc. of the Experimental Vibration Analysis for Civil Engineering Structures(EVACES’07) Conference, FEUP, Porto

Chowdhury, S.H., 1999. Damping characteristics of reinforced and partially prestressed concrete beams. PhD thesis,Faculty Engineering Griffith University, Australia

Otani, S., 1981. Hysteresis models of reinforced concrete for earthquake response analysis. Journal of Faculty ofEngineering, University of Tokyo, 36 (2), 407 – 441

Ceravolo R., De Stefano, A., Pescatore, M., 2008. Change in dynamic parameters and safety assessment of civilstructures, Mechanics of Time-dependent Materials, 12(4), 365-376.

Ceravolo R., Pescatore, M., De Stefano, A., 2009. Symptom based reliability and generalized repairing cost inmonitored bridges, Reliability Engineering & System Safety, 94(8), 1331-1339, 2009.

Julier, S.J., Uhlmann, J.K., Durrant-Whyte, H.F., (1995); New approach for filtering nonlinear systems. Proc. Am. ControlConference, pp. 1628-1632.Julier, S.F., Uhlmann, J.K., Durrant-Whyte, H.F., (2000); A new method for the nonlinear transformation of means andcovariances in filters and estimators. IEEE Trans. Automat. Control, 45(3), pp. 477-482.Sarkka, S., (2004); Recursive Bayesian Inference on Stochastic Differential Equations. Helsinki University of Technology,PhD Thesis.Wu, M., Smyth, A.W., (2008); Real-time parameter estimation for degrading and pinching hysteretic models. InternationalJournal of Non-Linear Mechanics, 43, pp. 822-833.Xie, Z., Feng, J., (2011); Real-time nonlinear structural system identification via iterated unscented Kalman filter.Mechanical Systems and Signal Processing, doi: 10.1016/j.ymssp.2011.02.005.

Unscented Kalman Filter

JOURNAL PAPERS

Bursi, O.S., Ceravolo, R., Erlicher, S., Zanotti Fragonara, L., (2012); Identification of the hysteretic behaviour of a partial-strength steel-concrete moment-resisting frame structure subject to pseudodynamic tests. Earthquake Engineering &Structural Dynamics, In press.

Ceravolo R., Tondini N., Abbiati G., Kumar A. (2012)Dynamic characterization of complex bridge structures with passive control systems. In: STRUCTURAL CONTROL &HEALTH MONITORING, vol. 19 n. 4, pp. 511-534. - ISSN 1545-2255 [Item availablity restricted.]

Chiorino M.A; Ceravolo R.; Spadafora A; Zanotti Fragonara L; Abbiati G (2011)Dynamic characterization of complex masonry structures: the example of the Sanctuary of Vicoforte. In:INTERNATIONAL JOURNAL OF ARCHITECTURAL HERITAGE, vol. 5 n. 3, pp. 296-314. - ISSN 1558-3058

Demarie G.V., Ceravolo R., Sabia D., Argoul P. (2011)Experimental identification of beams with localized nonlinearities. In: JOURNAL OF VIBRATION AND CONTROL, vol. 17n. 11, pp. 1721-1732. - ISSN 1077-5463

Ceravolo R., Zanotti Fragonara L., Erlicher S., Bursi O. (2011)Parametric identification of damaged dynamic systems with hysteresis and slip. In: JOURNAL OF PHYSICS.CONFERENCE SERIES, vol. 305 n. 1, pp. 1-10. - ISSN 1742-6588

Carpinteri A., De Stefano A., Invernizzi S., Ruocci G., Lacidogna G., Manuello A., Ceravolo R., Degiovanni L., QuattroneN. (2010)Experimental and numerical analysis of a two-span model masonry arch bridge subjected to pier scour. In: ADVANCEDMATERIALS RESEARCH, vol. 133-134, pp. 301-306. - ISSN 1662-8985 [Item availablity restricted.]

Ceravolo R.; Demarie G.V; Erlicher S (2010)Instantaneous identification of degrading hysteretic oscillators under earthquake excitation. In: STRUCTURAL HEALTHMONITORING, vol. 9(5), pp. 447-463. - ISSN 1475-9217 [Item availablity restricted.]

References of the authors

JOURNAL PAPERS

Argoul P; Ceravolo R.; Demarie G.V; Sabia D (2010)Instantaneous identification of localized non-linearities in steel framed structures. In: MﾉCANIQUE & INDUSTRIES, vol.11, pp. 105-116. - ISSN 1296-2139 [Item availablity restricted.]

Ruocci G.; Ceravolo R; De Stefano A (2009)Modal Identification of an Experimental Model of Masonry Arch Bridge. In: KEY ENGINEERING MATERIALS, vol. 413-414, pp. 707-714. - ISSN 1013-9826

Demarie G.V.; Sabia D; Ceravolo R (2009)Non-linear identification of a RC element using time-frequency instantaneous estimators. In: KEY ENGINEERINGMATERIALS, vol. 413-414, pp. 531-538. - ISSN 1013-9826

Ceravolo R.; G.V. Demarie; L. Giordano; G. Mancini; D. Sabia (2009)Problems in applying code-specified capacity design procedures to seismic design of tall piers. In: ENGINEERINGSTRUCTURES, vol. 31, pp. 1811-1821. - ISSN 0141-0296 [Item availablity restricted.]

Ceravolo R.; Pescatore M; De Stefano A (2009)Symptom based reliability and generalized repairing cost in monitored bridges. In: RELIABILITY ENGINEERING &SYSTEM SAFETY, vol. 94 n. 8, pp. 1331-1339. - ISSN 0951-8320 [Item availablity restricted.]

Ceravolo R.; A. De Stefano; M. Pescatore (2008)Change in dynamic parameters and safety assessment of civil structures. In: MECHANICS OF TIME-DEPENDENTMATERIALS, vol. 12(4), pp. 365-376. - ISSN 1385-2000

De Stefano A.; Ceravolo R (2007)Assessing the Health State of Ancient Structures: The Role of Vibrational Tests. In: JOURNAL OF INTELLIGENTMATERIAL SYSTEMS AND STRUCTURES, vol. 18, pp. 793-807. - ISSN 1045-389X

Ceravolo R; Demarie G.V.; Erlicher S (2007)Instantaneous Identification of Bouc-Wen-type Hysteretic Systems from Seismic Response Data. In: KEYENGINEERING MATERIALS, vol. 347, pp. 331-338. - ISSN 1013-9826

References of the authors

JOURNAL PAPERS

G.V. Demarie; Ceravolo R.; A. De Stefano (2005)Instantaneous Identification of Polynomial Nonlinearity Based on Volterra Series Representation. In: KEY ENGINEERINGMATERIALS, vol. 293-294, pp. 703-710. - ISSN 1013-9826

Ceravolo R. (2004)Use of Instantaneous Estimators for the Evaluation of Structural Damping. In: JOURNAL OF SOUND AND VIBRATION,vol. 274/1-2, pp. 385-401. - ISSN 0022-460X [Item availablity restricted.]

T. Aoki; Ceravolo R.; A. De Stefano; C. Genovese; D. Sabia (2002)Seismic Vulnerability Assessment of Chemical Plants through Probabilistic Neural Networks. In: RELIABILITYENGINEERING & SYSTEM SAFETY, vol. 77, pp. 263-268. - ISSN 0951-8320

Ceravolo R.; De Stefano A.; Molinari F. (2001)Developments and Comparisons on the Definition of an Instantaneous Damping Estimator for Structures under NaturalExcitation. In: KEY ENGINEERING MATERIALS, vol. 204-205, pp. 231-240. - ISSN 1013-9826

Bonato P.; Ceravolo R.; De Stefano A.; Molinari F. (2000)Cross-Time-Frequency Techniques for the Identification of Masonry Buildings. In: MECHANICAL SYSTEMS ANDSIGNAL PROCESSING, vol. 14(1), pp. 91-109. - ISSN 0888-3270

Bonato P.; Ceravolo R.; De Stefano A.; Molinari F. (2000)Use of Cross-Time-Frequency Estimators for the Structural Identification in Non-Stationary Conditions and UnderUnknown Excitation. In: JOURNAL OF SOUND AND VIBRATION, vol. 237(5), pp. 775-791. - ISSN 0022-460X

De Stefano A.; Bonato P; Ceravolo R; Molinari F (1999)Modal Identification by Cross-Time-Frequency Estimators. In: KEY ENGINEERING MATERIALS, vol. 167-168, pp. 363-372. - ISSN 1013-9826

P. Bonato; Ceravolo R.; A. De Stefano (1998)The Use of Wind Excitation in Structural Identification. In: JOURNAL OF WIND ENGINEERING AND INDUSTRIALAERODYNAMICS, vol. 74-76, pp. 709-718. - ISSN 0167-6105

References of the authors

JOURNAL PAPERS

P. Bonato; R. Ceravolo; De Stefano A.; F. Molinari (1997)Bilinear Time-Frequency Trasformations in the Analysis of Damaged Structures. In: MECHANICAL SYSTEMS ANDSIGNAL PROCESSING, vol. 11(4), pp. 509-527. - ISSN 0888-3270

P. Bonato; Ceravolo R.; A. De Stefano (1997)Time-Frequency and Ambiguity Function Approaches in Structural Identification. In: JOURNAL OF ENGINEERINGMECHANICS, vol. 123, pp. 1260-1267. - ISSN 0733-9399

Ceravolo R.; De Stefano A; Sabia D (1996)Neural Network Approaches in Structural Identification and Defect Location. In: ZEITSCHRIFT FUR ANGEWANDTEMATHEMATIK UND MECHANIK, vol. 76, Suppl. 5, pp. 409-412. - ISSN 0044-2267

Ceravolo R.; A. De Stefano (1996)Techniques for the Mechanical Characterisation of Civil Structures. In: MATERIALS AND STRUCTURES, vol. 29, pp.562-570. - ISSN 1359-5997

Ceravolo R.; A. De Stefano (1995)Damage Location in Structures Through a Connectivist Use of FEM Modal Analyses. In: JOURNAL OF VIBRATION ANDCONTROL, vol. 10/ Modal Analysis, pp. 178-186. - ISSN 1077-5463

Ceravolo R.; De Stefano A; Sabia. D (1995)Hierarchical Use of Neural Techniques in Structural Damage Recognition. In: SMART MATERIALS AND STRUCTURES,vol. 4, pp. 270-280. - ISSN 0964-1726

Ceravolo R.; M. Masoero (1995)La Valutazione dell'Impatto Ambientale da Vibrazioni Ferroviarie. In: INGEGNERIA FERROVIARIA, vol. 1-2, pp. 1-12. -ISSN 0020-0956

References of the authors

BOOK CHAPTERS

Bursi O.S., Ceravolo R., Molina F.J., Molinari M. (2010)Role and application of testing and computational techniques in seismic engineering. In: Advances in Performance-BasedEarthquake Engineering / Fardis M. Fardis Michael N, Dordrecht, pp. 407-418. ISBN 9789048187454

Ceravolo R. (2009)Chapter 26: Time-Frequency Analysis. In: Encyclopedia of Structural Health Monitoring / BOLLER; CHANG AND FUJINOEDS. Wiley, CHICHESTER, pp. 503-524. ISBN 9780470058220

Ceravolo R.; A. De Stefano; G. Mancini (2006)Strategies for the Seismic Isolation of Reinforced Concrete Skew Bridges. In: Seismic Engineering for ConcreteStructures. Italian Perspective / M.A. CHIORINO AND A. NANNI EDS. UNSPECIFIED, pp. 83-93. ISBN 8887030995

A.De Stefano; Ceravolo R. (2005)Problems and Perspectives in Monitoring of Ancient Masonry Structures. In: Sensing Issues in Civil Structural HealthMonitoring / ANSARI F. ED. Springer, DORDRECHT, pp. 85-94. ISBN 1402036604

A. De Stefano; Ceravolo R. (2003)Assessment of Historical Buildings via Ambient Vibration Measurements: Experiences on Bell-Towers. In: Problems inStructural Identification and Diagnostics: General Aspects and Applications / DAVINI; C. ; VIOLA; E. EDS. Springer,WIEN. ISBN 321120492X

References of the authors