An Alternative Procedure for the Description of Seismic Intensity Parameter-Based Damage Potential
Source abstract
Abstract
This study presents an alternative statistical approach for describing the damage potential of R/C structures using various seismic intensity parameters. By employing a comprehensive set of 34 Intensity Measures (IMs) and three well-known Global Damage Indices (DIs), a correlation study was initially conducted to assess the predictive capacity of the selected IMs in estimating a structure’s damage grade. Multiple regression analyses were performed to determine the most suitable IMs for damage prediction, utilizing only the highest correlated IMs with the selected DIs, employing both conventional regression models and a novel alternative approach by transforming the IMs for each predicted DI. The IMs were modified through exponentiation, using powers directly dependent on each IM’s rank correlation coefficient with the respective DI. Employing the rank correlation coefficients to modify the IMs effectively amplifies the influence of those that present the highest agreement with the observed damage. The results demonstrate that energy-related and spectral-based IMs correlate highly with structural damage. The generated models exhibit high accuracy in predicting the observed damage grade, with the models based on the proposed approach showing improved performance in estimating the sustained damage grade while maintaining computational efficiency in terms of their computational time and results’ accuracy.
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Research context
OpenAlex topics: Seismic Performance and Analysis · Structural Health Monitoring Techniques · Structural Response to Dynamic Loads
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Civil Engineering, Institute of Statics and Dynamics of Structures, Democritus University of Thrace, 67100 Xanthi, Greece
References (52)
Show source-provided references
1. (2004). Eurocode 8: Design of Structures for Earthquake Resistance—Part 1: General Rules, Seismic Actions and Rules for Buildings (Standard No. EN 1998-1:2004).
2. (2004). Eurocode 2: Design of Concrete Structures—Part 1-1: General Rules and Rules for Buildings (Standard No. EN 1992-1-1:2004).
3. Kramer, S.L. (1996). Geotechnical Earthquake Engineering, 1 ed., Prentice Hall, Inc.10.1201/9781003512011-1 ↗
4. On Ground Motion Intensity Indices10.1193/1.2424748 ↗
5. Seismic Damage Indices for Concrete Structures: A State-of-the-Art Review10.1193/1.1585817 ↗
6. Seismic damage indices for RC buildings: Evaluation of concepts and procedures10.1002/pse.2260010113 ↗
7. Reinhorn, A., Roh, H., Sivaselvan, M., Kunnath, S., Valles, R., Madan, A., Li, C., Lobo, R., and Park, Y. (2009). IDARC2D Version 7.0: A Program for the Inelastic Damage Analysis of Structures, Multidisciplinary Center for Earthquake Engineering Research. MCEER-09-0006.
8. DiPasquale, E., and Cakmak, A.S. (1989). On the Relation Between Local and Global Damage Indices, National Center for Earthquake Engineering Research. NCEER-89-0034.
9. First-Order Eigen-Perturbation Techniques for Real-Time Damage Detection of Vibrating Systems: Theory and Applications10.1115/1.4044287 ↗
10. Inverse damage prediction in structures using nonlinear dynamic perturbation theory10.1007/s00466-005-0717-y ↗
11. Damage visualization based on local dynamic perturbation: Theory and application to characterization of multi-damage in a plane structure10.1016/j.jsv.2013.01.033 ↗
12. Identification of structural damage based on locally perturbed dynamic equilibrium with an application to beam component10.1016/j.jsv.2011.07.028 ↗
13. A novel structural damage identification approach using damage-induced perturbation in longitudinal vibration10.1016/j.jsv.2021.115932 ↗
14. An Approach to the Measurement of the Potential Structural Damage of Earthquake Ground Motions10.1002/(SICI)1096-9845(199701)26:1<79::AID-EQE624>3.0.CO;2-Y ↗
15. Correlation study between seismic acceleration parameters and damage indices of structures10.1016/S0141-0296(00)00074-2 ↗
16. Seismic-Parameter-Based Statistical Procedures for the Approximate Assessment of Structural Damage10.1155/2014/916820 ↗
17. Probabilistic Basis for 2000 SAC Federal Emergency Management Agency Steel Moment Frame Guidelines10.1061/(ASCE)0733-9445(2002)128:4(526) ↗
18. Development of a compound intensity measure using partial least-squares regression and its statistical evaluation based on probabilistic seismic demand analysis10.1016/j.soildyn.2019.105725 ↗
19. An Approach to Develop Compound Intensity Measures for Prediction of Damage Potential of Earthquake Records Using Canonical Correlation Analysis10.1080/13632469.2018.1481157 ↗
20. Machine Learning Algorithms for the Prediction of the Seismic Response of Rigid Rocking Blocks10.3390/app14010341 ↗
21. Lazaridis, P.C., Kavvadias, I.E., Demertzis, K., Iliadis, L., and Vasiliadis, L.K. (2022). Structural Damage Prediction of a Reinforced Concrete Frame under Single and Multiple Seismic Events Using Machine Learning Algorithms. Appl. Sci., 12.10.20944/preprints202203.0188.v1 ↗
22. Liu, T.-T., and Lu, D.-G. (2024). Evaluation of Ground Motion Damage Potential with Consideration of Compound Intensity Measures Using Principal Component Analysis and Canonical Correlation Analysis. Buildings, 14.10.3390/buildings14051309 ↗
23. Selection of optimal seismic intensity measures using fuzzy-probabilistic seismic demand analysis and fuzzy multi-criteria decision approach10.1016/j.soildyn.2022.107615 ↗
24. A Computationally Efficient Algorithm for Constructing Effective Vector-Valued Seismic Intensity Measures for Engineering Structures10.1080/13632469.2024.2339390 ↗
25. Montgomery, D.C., and Runger, G.C. (2018). Applied Statistics and Probability for Engineers, John Siley & Sons. [7th ed.].
26. A study on the duration of strong earthquake ground motion
27. Hansen, R.J. (1970). Arias, A. A Measure of Earthquake Intensity. Seismic Design for Nuclear Power Plants, Massachusetts Institute of Technology Press.
28. (2024). SeismoSignal—A Computer Program for Signal Processing of Time-Histories, Seismosoft Ltd.
29. NGA-West2 Site Database10.1193/062913EQS180M ↗
30. Housner, G.W. (, January June). Spectrum Intensities of Strong-Motion Earthquakes. Proceedings of the Symposium on Earthquake and Blast Effects on Structures, Oakland, CA, USA.
31. Bianchini, M., Diotallevi, P.P., and Baker, J.W. (2009, January 13–17). Prediction of inelastic structural response using an average of spectral accelerations. Proceedings of the 10th International Conference on Structural Safety and Reliability (ICOSSAR09), Osaka, Japan.
32. An evaluation of strong motion records and a new parameter A9510.1002/eqe.4290150109 ↗
33. Von Thun, J.L., Scott, G.A., and Wilson, J.A. (1988, January 27–30). Earthquake ground motions for design and analysis of dams. Proceedings of the Earthquake Engineering and Soil Dynamics II—Recent Advances in Ground-Motion Evaluation, Park City, UT, USA.
34. Nuttli, O.W. (1979). State-of-the-Art for Assessing Earthquake Hazards in the United States. Report 16: The Relation of Sustained Maximum Ground Acceleration and Velocity to Earthquake Intensity and Magnitude, St. Louis University, Department of Earth and Atmospheric Sciences.
35. Uncertainties in Establishing Design Earthquakes10.1061/(ASCE)0733-9445(1987)113:8(1709) ↗
36. Guamán, J.W. (2010). Empirical Ground Motion Relationships for Maximum Incremental Velocity. [Ph.D. Thesis, University of Notre Dame].
37. Newmark, N.M. (1973). A Study of Vertical and Horizontal Earthquake Spectra, Unites States Atomic Energy Commission. Report WASH-1255.
38. Simplified Frequency Content Estimates of Earthquake Ground Motions10.1061/(ASCE)1090-0241(1998)124:2(150) ↗
39. Prediction equations for the standardized version of cumulative absolute velocity as adapted for use in the shutdown of U.S. nuclear power plants10.1016/j.nucengdes.2011.04.020 ↗
40. A criterion for determining exceedance of the operating basis earthquake10.1016/0029-5493(90)90259-Z ↗
41. b values and ω−γ seismic source models: Implications for tectonic stress variations along active crustal fault zones and the estimation of high-frequency strong ground motion10.1029/JB084iB05p02235 ↗
42. Empirical equations for the prediction of the bracketed and uniform duration of earthquake ground motion using the Iran database10.1016/j.soildyn.2020.106306 ↗
43. Bolt, B.A. (1973, January 25–29). Duration of strong ground motion. Proceedings of the 5th World Conference on Earthquake Engineering, Rome, Italy.
44. Kanamori, H., and Boschi, E. (1982). Engineering Seismology. Earthquakes: Observation, Theory and Interpretation, Elsevier.
45. Cyclic-demand spectrum10.1002/eqe.171 ↗
46. The effective number of cycles of earthquake ground motion10.1002/eqe.437 ↗
47. A simple and intuitive procedure to identify pulse-like ground motions10.1016/j.soildyn.2017.01.020 ↗
48. Rodríguez-Gómez, S., and Cakmak, A.S. (1990). Evaluation of Seismic Damage Indices for Reinforced Concrete Structures, National Center for Earthquake Engineering Research. NCEER-90-0022.
49. Stone, W.C., and Taylor, A.W. (1993). Seismic Performance of Circular Bridge Columns Designed in Accordance with AASHTO/CALTRANS Standards, National Institute of Standards and Technology.10.6028/NIST.BSS.170 ↗
50. Gunturi, S.K.V., and Shah, H.C. (1992, January 19–24). Building specific damage estimation. Proceedings of the 10th World Conference on Earthquake Engineering, Rotterdam, The Netherlands.
51. (2000). Prestandard and Commentary for the Seismic Rehabilitation of Buildings American Society of Civil Engineers, Federal Emergency Management Agency.
52. (2005). STAGRAPHICS Centurion XV User Manual, Statpoint Technologies Inc.