Infill Variability and Modelling Uncertainty Implications on the Seismic Loss Assessment of an Existing RC Italian School Building
Source abstract
Abstract
Past earthquake evidence has shown the high vulnerability of Italian school buildings, given by the extensive damage observed to structural and non-structural elements. Such vulnerability demonstrates the need to undertake a seismic risk assessment and reduction strategies for critical facilities and allocation of national funds for retrofit interventions to those regions where seismic risk is higher. To do so, Expected Annual Losses (EAL) are evermore considered one of the main seismic risk metrics, which can, however, be largely affected by the epistemic uncertainty that typically characterizes the material and geometrical properties of existing buildings, particularly masonry-infilled reinforced concrete (RC) ones. This paper investigates the implications of accounting for a thorough identification of sources and characterization of uncertainty in seismic loss estimates on the risk assessment of a typical Italian masonry-infilled RC school building. The variability in masonry infill properties and modeling assumptions, as well as the subsequent epistemic uncertainty, are explicitly considered in the loss estimation of the RC school building. Specifically, the impact on the expected annual loss ratio is quantified in terms of both structural and non-structural components, depending on the engineering demand parameter to which they are sensitive. The results show that, when considering the uncertainty related to the variability in masonry infills, higher loss ratios of up to 30% are obtained with respect to the available literature estimates.
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Research context
OpenAlex topics: Seismic Performance and Analysis · Masonry and Concrete Structural Analysis · Structural Behavior of Reinforced Concrete
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
University School for Advanced Studies IUSS Pavia, 27100 Pavia, Italy
Department of Engineering for Innovation, University of Salento, 73100 Lecce, Italy
Funding
Italian Civil Protection Department at IUSS Pavia
References (52)
Show source-provided references
1. Seismic Risk Assessment of Italian School Buildings10.1007/978-94-007-6573-3_16 ↗
2. Progress and Challenges in Seismic Performance Assessment
3. Federal Emergency Management Agency (2018). FEMA P-58: Seismic Performance Assessment of Buildings, Volume 2—Implementation Guide, [2nd ed.]. Available online: https://femap58.atcouncil.org/.
4. Seismic Nonstructural Vulnerability Assessment in School Buildings10.1007/s11069-015-1907-3 ↗
5. A Prioritization Scheme for Seismic Intervention in School Buildings in Italy10.1193/1.2722784 ↗
6. Borzi, B., Ceresa, P., Faravelli, M., Fiorini, E., Onida, M., Borzi, B., Ceresa, P., Faravelli, M., Fiorini, E., and Onida, M. (2011, January 25–28). Definition of a Prioritisation Procedure for Structural Retrofitting of Italian School Buildings. Proceedings of the COMPDYN 2011 III ECCOMAS Thematic Conference on Computational Methods in Structural Dynamics and Earthquake Engineering, Corfu, Greece.
7. Haselton, C.B., Goulet, C.A., Mitrani-Reiser, J., Beck, J.L., Deierlein, G.G., Porter, K.A., Stewart, J.P., and Taciroglu, E. (2008). An Assessment to Benchmark the Seismic Performance of a Code-Conforming Reinforced Concrete Moment-Frame Building, Pacific Earthquake Engineering Research Center. Available online: https://resolver.caltech.edu/CaltechAUTHORS:20120831-144606048.
8. Uncertainty Propagation in Probabilistic Seismic Loss Estimation10.1016/j.strusafe.2006.11.003 ↗
9. Seismic Demand Sensitivity of Reinforced Concrete Shear-Wall Building Using FOSM Method10.1002/eqe.506 ↗
10. Incorporating Modeling Uncertainties in the Assessment of Seismic Collapse Risk of Buildings10.1016/j.strusafe.2008.06.002 ↗
11. Quantification of Modelling Uncertainty in Existing Italian RC Frames10.1002/eqe.3005 ↗
12. On Latin Hypercube Sampling for Structural Reliability Analysis10.1016/S0167-4730(02)00039-5 ↗
13. Treatment of Uncertainties in Seismic Fragility Assessment of RC Frames with Masonry Infill Walls10.1016/j.soildyn.2019.105771 ↗
14. Proposed Macro-Model for the Analysis of Infilled Frame Structures10.5459/bnzsee.40.2.69-77 ↗
15. Crisafulli, F. (1997). Seismic Behaviour of Reinforced Concrete Structures with Masonry Infills. [Ph.D. Thesis, University of Canterbury].
16. Epistemic Uncertainty in Poorly Detailed Existing Frames Accounting for Masonry Infill Variability and RC Shear Failure10.1002/eqe.3748 ↗
17. Nonlinear Static Characterisation of Masonry—Infilled RC Building Portfolios Accounting for Variability of Infill Properties10.1007/s10518-021-01068-2 ↗
18. Mucedero, G., Perrone, D., Brunesi, E., and Monteiro, R. (2020). Numerical Modelling and Validation of the Response of Masonry Infilled Rc Frames Using Experimental Testing Results. Buildings, 10.10.3390/buildings10100182 ↗
19. A Six-Strut Model for Nonlinear Dynamic Analysis of Steel Infilled Frames10.1142/S0219455402000567 ↗
20. Structural Irregularity: The Analysis of Two Reinforced Concrete (r.c.) Buildings10.5267/j.esm.2018.12.002 ↗
21. Seismic Assessment and Loss Estimation of Existing School Buildings in Italy10.1016/j.engstruct.2018.04.056 ↗
22. Assessing Seismic Risk in Typical Italian School Buildings: From in-Situ Survey to Loss Estimation10.1016/j.ijdrr.2019.101448 ↗
23. Mazzoni, S., McKenna, F., and Fenves, G.L. (2022, October 18). Open System for Earthquake Engineering Simulation (OpenSees). Available online: https://opensees.berkeley.edu/wiki/index.php/Main_Page.
24. Plastic Hinge Integration Methods for Force-Based Beam–Column Elements10.1061/(ASCE)0733-9445(2006)132:2(244) ↗
25. Seismic Retrofit of Existing School Buildings in Italy: Performance Evaluation and Loss Estimation10.1016/j.engstruct.2020.111243 ↗
26. O’Reilly, G.J., Perrone, D., Fox, M., Monteiro, R., Filiatrault, A., Lanese, I., and Pavese, A. (2019). System Identification and Seismic Assessment Modeling Implications for Italian School Buildings. J. Perform. Constr. Facil., 33.10.1061/(ASCE)CF.1943-5509.0001237 ↗
27. Development of the OpenQuake Engine, the Global Earthquake Model’s Open-Source Software for Seismic Risk Assessment10.1007/s11069-013-0618-x ↗
28. Mapping Europe’s Seismic Hazard10.1002/2014EO290001 ↗
29. Ground-Motion Prediction Equations for the Average Horizontal Component of PGA, PGV, and 5%-Damped PSA at Spectral Periods between 0.01 s and 10.0 s10.1193/1.2830434 ↗
30. Kohrangi, M. (2015). Beyond Simple Scalar Ground Motion Intensity Measures for Seismic Risk Assessment. [Ph.D. Thesis, University School for Advance Studies, IUSS Pavia].
31. Kohrangi, M., Vamvatsikos, D., and Bazzurro, P. (2017, January 9–13). A Record Selection Methodology for Vulnerability Functions Consistent with Regional Seismic Hazard for Classes of Buildings. Proceedings of the 16th World Conference on Earthquake Engineering, Santiago, Chile.
32. Ancheta, T.D., Darragh, R.B., Stewart, J.P., Seyhan, E., Silva, W.J., Chiou, B.S.J., Wooddell, K.E., Graves, R.W., Kottke, A.R., and Boore, D.M. (2013). PEER NGA-West2 Database, Technical Report PEER 2013/03, Pacific Earthquake Engineering Research Center, University of California.10.1193/070913EQS197M ↗
33. Luzi, L., Lanzano, G., Felicetta, C., D’Amico, M.C., Russo, E., Sgobba, S., and Pacor, F. (2022, October 18). ORFEUS Working Group 5. ESM—The Engineering Strong-Motion Database, Available online: https://data.ingv.it/it/dataset/418#additional-metadata.
34. NTC-2018 (2018). Aggiornamento Delle « Norme Tecniche per Le Costruzioni», MIT. (In Italian).
35. Prediction of Inter-Storey Drifts for Regular RC Structures with Masonry Infills Based on Bare Frame Modelling10.1007/s10518-017-0210-y ↗
36. Seismic Response of Reinforced Concrete Frames Infilled with Weakly Reinforced Masonry Panels10.1080/13632460109350390 ↗
37. Performance-Based Interpretation of in-Plane Cyclic Tests on RC Frames with Strong Masonry Infills10.1016/j.engstruct.2017.11.058 ↗
38. Cyclic Response of Masonry Infilled RC Frames: Experimental Results and Simplified Modeling10.1016/j.soildyn.2014.06.016 ↗
39. Strength and Stiffness Reduction Factors for Infilled Frames with Openings10.1007/s11803-014-0254-9 ↗
40. Mucedero, G., Carofilis, W., Perrone, D., and Monteiro, R. (2022, January 13–17). Impact of Masonry Infill Properties and Modelling Uncertainty on the Seismic Risk Assessment of Existing Italian School Buildings. Proceedings of the ICOSSAR 2021–2022, 13th International Conference on Structural Safety & Reliability, Shanghai, China.
41. Mucedero, G., Perrone, D., Brunesi, E., and Monteiro, R. (2021, January 27–30). Impact of Masonry Infill Variability on the Estimation of Floor Response Spectra in Rc Buildings. Proceedings of the 8th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering Methods in Structural Dynamics and Earthquake Engineering, Athens, Greece.10.7712/120121.8463.18662 ↗
42. Mucedero, G., Perrone, D., and Monteiro, R. (2022). Seismic Risk Assessment of Masonry-Infilled RC Building Portfolios: Impact of Variability in the Infill Properties. Bull. Earthq. Eng.10.1007/s10518-022-01563-0 ↗
43. Efficient Analytical Fragility Function Fitting Using Dynamic Structural Analysis10.1193/021113EQS025M ↗
44. Mucedero, G., Perrone, D., and Monteiro, R. (2022, January 4–9). Epistemic uncertainty impact on seismic loss estimates of an Italian RC existing school building. Proceedings of the 3th European Conference on Earthquake Engineering & Seismology, Bucharest, Romania.
45. Federal Emergency Management Agency (FEMA) (2012). P-58-3, Seismic Performance Assessment of Buildings: Volume 3—Performance Assessment Calculation Tool (PACT), FEMA.
46. Fragility Curves and Loss Functions for RC Structural Components with Smooth Rebars10.12989/eas.2016.10.5.1181 ↗
47. Developing Fragility Curves and Loss Functions for Masonry Infill Walls10.12989/eas.2015.9.1.257 ↗
48. Characterising the In-Plane Seismic Performance of Infill Masonry10.5459/bnzsee.49.1.98-115 ↗
49. Performance of Non-Structural Elements in RC Buildings during the L’Aquila, 2009 Earthquake10.1007/s10518-010-9205-7 ↗
50. Tsionis, G., Bossi, A., Pinto, A., and Marazzi, F. (2011). The L’Aquila (Italy) Earthquake of 6 April 2009: Report and Analysis from a Field Mission.
51. Ramirez, C.M., and Miranda, E. (2009). Building Specific Loss Estimation Methods & Tools for Simplified Performance Based Earthquake Engineering, Blume Earthquake Engineering Research Center. Blume Report No. 171.
52. Floor Spectra for Bare and Infilled Reinforced Concrete Frames Designed According to Eurocodes10.1002/eqe.3523 ↗