Response surface models to detect and localize distributed cracks in a complex continuum

Journal of Engineering Mechanics

Volumn 136, Issue 9, 2010, Pages 1131-1142

  Casciati, Sara ^a  

^a UNIVERSITY OF CATANIA   (Italy)

Author keywords

Cracking; Damage assessment; Dynamics; Environment; Masonry; Monitoring; Statistical models; Structural response; Vibration excitation

Indexed keywords

DAMAGE ASSESSMENTS; ENVIRONMENT; MASONRY; STATISTICAL MODELS; STRUCTURAL RESPONSE; VIBRATION EXCITATION;

CRACK DETECTION; CRACK INITIATION; DYNAMICS; ERROR DETECTION; ERROR STATISTICS; MONITORING; SENSORS; SURFACE PROPERTIES;

DAMAGE DETECTION;

CRACK PROPAGATION; DAMAGE MECHANICS; DETECTION METHOD; DYNAMIC ANALYSIS; DYNAMIC RESPONSE; ERROR ANALYSIS; MASONRY; MONITORING; STRUCTURAL ANALYSIS; STRUCTURAL RESPONSE; VIBRATION;

EID: 81355150768     PISSN: 07339399     EISSN: None     Source Type: Journal    
DOI: 10.1061/(ASCE)EM.1943-7889.0000148     Document Type: Article

References (24)

1. Armelle A. Final report. POP Sicilia. 1997, Rep. No.E10c, Joint Research Centre of European Commission, Ispra, Italy.
2. Basseville M. Abdelghani M. Benveniste A. Subspace-based fault detection and isolation-Application to vibration monitoring. 1997, and Rep. No.3299, Institut National de Recherche en Informatique et en Automatique, Rennes, France.
3. Beni F. Indagini diagnostiche e tecniche di identificazione strutturale per la conservazione dei monumenti. 2002, MS thesis, Univ. of Genova, Genova, Italy (in Italian).
4. Beni F. Lagomarsino S. Marazzi F. Magonette G. Podestà S. Structural monitoring through dynamic identification. Proc., 3rd World Conf. on Structural Control 2003, 139-146. and Wiley, Chichester, U.K.
5. Bernal D. Load vectors for damage localization. J. Eng. Mech. 2002, 128(1):7-14. JENMDT, 0733-9399, 10.1061/(ASCE)0733-9399(2002)128:1(7).
6. Breitung K. Faravelli L. Response surface methods and asymptotic approximations. Mathematical models for structural reliability analysis 1996, 227-285. F. Casciati, J. B. Roberts, and Chap. 6, and eds., CRC, Boca Raton, Fla.
7. Casciati F. Casciati S. Structural health monitoring by Lyapunov exponents of non-linear time series. Struct. Control Health Monit. 2006, 13:132-146. ZZZZZZ, 1545-2255, 10.1002/stc.141, and.
8. Casciati S. Statistical models comparison for damage detection using the ASCE benchmark. Proc., Structural Health Monitoring 2004 2004, 695-702. DEStech, Lancaster, Pa.
9. Casciati S. Damage detection and localization in the space of the observed variables. 2005, Ph.D. thesis, Graduate School of Civil Engineering, Univ. of Pavia, Pavia, Italy.
10. Casciati S. Stiffness identification and damage localization via differential evolution algorithms. Struct. Control Health Monit. 2008, 15:436-449. ZZZZZZ, 1545-2255, 10.1002/stc.236.
11. Casciati S. Colabrese E. Magonette G. Monitoring and response surface methodology to detect and locate structural damage. Proc., 1st Int. Conf. on Structural Health Monitoring and Intelligent Infrastructure 2003, 423-429. and Balkema, Swets & Zeitlinger B.V., Lisse, The Netherlands.
12. Casciati S. Domaneschi M. Inaudi D. Local damage detection from dynamic SOFO experimental data. Proc., Smart Structures and Materials 2005: Sensors and Smart Structure Technologies for Civil, Mechanical and Aerospace Systems 2005, 591-599. and SPIE, Bellingham, Wash.
13. Casciati S. Rossi R. Embedding SHM algorithms into a microcontroller for real-time and fully-automated civil applications. Proc., Structural Health Monitoring 2006 2006, 539-546. and DEStech, Lancaster, Pa.
14. Draper N.R. Smith H. Applied regression analysis 1981, 87. and Wiley, New York.
15. Faravelli L. Casciati S. Structural damage detection and localization by response change diagnosis. Prog. Struct. Eng. Mater. 2004, 6(2):104-115. ZZZZZZ, 1365-0556, 10.1002/pse.171, and.
16. Structural Health Monitoring 2006. Proc., 3rd European Workshop Structural Health Monitoring 2006 2006, Guemes, A., ed. DEStech, Lancaster, Pa.
17. Iwasaki A. Todorokim A. Sugiya T. Remote smart damage detection via internet with unsupervised statistical diagnosis. Proc., IUTAM Symp. on Dynamics of Advanced Materials and Smart Structures 2002, 157-166. and Kluwer, Dortrecht, The Netherlands.
18. Johnson E.A. Lam H.F. Katafygiotis L.S. Beck J.L. Phase I IASC-ASCE structural health monitoring benchmark problem using simulated data. J. Eng. Mech. 2004, 130(1):3-15. JENMDT, 0733-9399, 10.1061/(ASCE)0733-9399(2004)130:1(3), and.
19. Juang J.N. Applied system identification 1992, Prentice-Hall, Englewood Cliffs, N.J.
20. Kullaa J. Structural health monitoring under variable environmental or operational conditions. Proc., Structural Health Monitoring 2004 2004, 1262-1269. DEStech, Lancaster, Pa.
21. Kullaa J. Removing non-linear environmental influences from structural features. Proc., Structural Health Monitoring 2006 2006, 565-573. DEStech, Lancaster, Pa.
22. Ljung L. System identification-Theory for the user 1999, 2nd Ed., Prentice-Hall, Upper Saddle River, N.J.
23. Masri S.F. Smyth A.W. Chassiakos A.G. Caughey T.K. Hunter N.F. Application of neural networks for detection of changing in nonlinear systems. J. Eng. Mech. 2000, 126(7):666-683. JENMDT, 0733-9399, 10.1061/(ASCE)0733-9399(2000)126:7(666), and.
24. MATLAB reference guide 1992, Mathworks Inc., Natick, Mass.