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A seismic risk classification framework for non-structural elements

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Abstract

The ability to quantify the seismic risk associated with structural and non-structural elements is a critical aspect of earthquake engineering. While methods to improve the understanding of structural response to earthquake shaking and how to quantify their risk have been studied, non-structural elements (NSEs) have more recently emerged as a crucial aspect to address given their pertinence in overall building performance and loss-related issues. This article describes the development of a risk quantification methodology for NSEs whereby the mean annual frequency of exceeding an NSE’s damage state is computed and rated as part of a risk classification scheme using recently developed approaches. The basis of the methodology is described in detail followed by an example implementation, where the details surrounding hazard, structural and non-structural response are quantified consistently, ensuring that uncertainties are also incorporated to be in line with modern performance-based earthquake engineering. Discussion is provided surrounding the potential future use of such an NSE risk classification scheme for both structural engineers looking to improve the performance of their buildings via NSE performance and also manufacturers.

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References

  • Agenzia CasaClima. 2019. “Certificato Energetico CasaClima.” 2019. https://www.agenziacasaclima.it/it/certificazione-edifici/certificato-energetico-casaclima-1281.html

  • Arup. 2013. “The Resilience-Based Earthquake Design Initiative (REDiTM) Rating System. URL: .” https://www.arup.com/perspectives/publications/research/section/redi-rating-system?query=redi

  • ASCE 7–16. 2016. “Minimum Design Loads for Buildings and Other Structures.” American Society of Civil Engineers. Reston, VA, USA

  • Calderon A, Silva V (2019) Probabilistic seismic vulnerability and loss assessment of the residential building stock in costa Rica. Bull Earthq Eng 17(3):1257–1284. https://doi.org/10.1007/s10518-018-0499-1

    Article  Google Scholar 

  • Calvi PM, Sullivan TJ (2014) Estimating floor Spectra in multiple degree of freedom systems. Earthq Struct 7(1):17–38. https://doi.org/10.12989/eas.2014.7.1.017

    Article  Google Scholar 

  • Calvi GM, Sullivan TJ, Welch DP (2014) A seismic performance classification framework to provide increased seismic resilience. In: Ansal A (ed) Perspectives on European earthquake engineering and seismology. Springer, pp 361–400. https://doi.org/10.1007/978-3-319-07118-3_11

    Chapter  Google Scholar 

  • Carofilis W, Clemett N, Gabbianelli G, O’Reilly GJ, Monteiro R (2021) Influence of parameter uncertainty in multi-criteria decision-making when identifying optimal retrofitting strategies for RC buildings. J Earthq Eng (Under Review)

  • Caruso M, Pinho R, Bianchi F, Cavalieri F, Lemmo MT (2021) Integrated economic and environmental building classification and optimal seismic vulnerability/energy efficiency retrofitting. Bull Earthq Eng. https://doi.org/10.1007/s10518-021-01101-4

    Article  Google Scholar 

  • CEN. 2004. “Eurocode 8: Design of Structures for Earthquake Resistance - Part 1: General Rules, Seismic Actions and Rules for Buildings (EN 1998–1:2004).” Comité Européen de Normalisation. Brussels, Belgium

  • Chalarca B, Filiatrault A, Perrone D (2020) Seismic demand on acceleration-sensitive nonstructural components in viscously damped braced frames. J Struct Eng 146(9):04020190. https://doi.org/10.1061/(ASCE)ST.1943-541X.0002770

    Article  Google Scholar 

  • Chock, G., I. Robertson, P. Nicholson, H. Brandes, E. Medley, P. Okubo, B. Hirshorn, et al. 2006. “Compilation of Observations of the October 15, 2006, Kiholo Bay (Mw 6.7) AAnd Mahukona (Mw 6.0) Earthquakes, Hawaii.” Oakland, California

  • Clemett N, Carofilis W, O’Reilly GJ, Gabbianelli G, Monteiro R (2021) Optimal retrofitting of existing buildings considering environmental impact. Eng Struct (accepted)

  • Cornell CA, Krawinkler H (2000) Progress and challenges in seismic performance assessment. PEER Center News 3(2):1–2

    Google Scholar 

  • Cornell CA, Jalayer F, Hamburger RO, Foutch DA (2002) Probabilistic basis for 2000 sac federal emergency management agency steel moment frame guidelines. J Struct Eng 128(4):526–533. https://doi.org/10.1061/(ASCE)0733-9445(2002)128:4(526)

    Article  Google Scholar 

  • Cosenza E, Del Vecchio C, Di Ludovico M, Dolce M, Moroni C, Prota A, Renzi E (2018) The italian guidelines for seismic risk classification of constructions: technical principles and validation. Bull Earthq Eng 16(12):5905–5935. https://doi.org/10.1007/s10518-018-0431-8

    Article  Google Scholar 

  • Council EU (1992) Council Directive 92/75/EEC of 22 September 1992 on the Indication by Labelling and Standard Product Information of the Consumption of Energy and Other Resources by Household Appliances. Belgium, Brussels

    Google Scholar 

  • Crowley H, Pinho R (2004) Period-height relationship for existing european reinforced concrete buildings. J Earthquake Eng 8(Supp1):93–119. https://doi.org/10.1080/13632460409350522

    Article  Google Scholar 

  • Davies RD (2010) Seismic evaluation parameterization and effect of light-frame steel studded gypsum partition walls. State University of New York at Buffalo, NY

    Google Scholar 

  • Eads L, Miranda E, Lignos DG (2015) Average spectral acceleration as an intensity measure for collapse risk assessment. Earthquake Eng Struct Dynam 44(12):2057–2073. https://doi.org/10.1002/eqe.2575

    Article  Google Scholar 

  • Eads L, Miranda E, Lignos D (2016) Spectral shape metrics and structural collapse potential. Earthquake Eng Struct Dynam 45(10):1643–1659. https://doi.org/10.1002/eqe.2739

    Article  Google Scholar 

  • Ioannou, Ioanna, Randolph Borg, Viviana Novelli, José Melo, David Alexander, Indranil Kongar, Enrica Verrucci, Bryan Cahill, and Tiziana Rossetto. 2012. “The 29th May 2012 Emilia Romagna Earthquake.” EPI-FO-290512. London, UK. http://www.ucl.ac.uk/~ucestor/research-earthquake/EPICentre_Report_EPI-FO-290512.pdf

  • FEMA. 2012a. “FEMA E-74: Reducing the Risks of Nonstructural Earthquake Damage—A Practical Guide.” FEMA E-74. Washington, DC, USA

  • FEMA (2012b) FEMA P58-1: Seismic Performance Assessment of Buildings Performance Assessment Calculation Tool (PACT), vol 1. Washington, DC

    Google Scholar 

  • FEMA (2012c) FEMA P58-3: Seismic Performance Assessment of Buildings Performance Assessment Calculation Tool (PACT), vol 3. Washington, DC

    Google Scholar 

  • Filiatrault A, Sullivan T (2014) Performance-based seismic design of nonstructural building components: the next frontier of earthquake engineering. Earthq Eng Eng Vib 13(1):17–46. https://doi.org/10.1007/s11803-014-0238-9

    Article  Google Scholar 

  • Filiatrault, A., C. M. Uang, B. Folz, C. Christopoulos, and K. Gatto. 2001. “Reconnaissance Report of the February 28, 2001 Nisqually (Seattle-Olympia) Earthquake.” Structural Systems Research Project Report No. SSRP-2000/15,. San Diego, La Jolla, CA

  • Filiatrault A, Perrone D, Merino RJ, Calvi GM (2018) Performance-based seismic design of nonstructural building elements. J Earthq Eng. https://doi.org/10.1080/13632469.2018.1512910

    Article  Google Scholar 

  • Fischer, Erica. 2014. “Learning from Earthquakes: 2014 Napa Valley Earthquake Reconnaissance Report.”

  • Gaetani d’Aragona M, Polese M, Cosenza E, Prota A (2019) Simplified assessment of maximum interstory Drift for RC buildings with irregular infills distribution along the height. Bull Earthq Eng 17(2):707–736. https://doi.org/10.1007/s10518-018-0473-y

    Article  Google Scholar 

  • Gaetani d’Aragona M, Polese M, Prota A (2020) Stick-IT: a simplified model for rapid estimation of IDR and PFA for existing low-rise symmetric infilled RC building typologies. Eng Struct 223(November):111182. https://doi.org/10.1016/j.engstruct.2020.111182

    Article  Google Scholar 

  • GEM. 2016. The OpenQuake-engine User Manual. Global Earthquake Model (GEM) Technical Report 2016-03, pp 189. https://doi.org/10.13117/GEM.OPENQUAKE.MAN.ENGINE.1.9/01

  • Gupta, A., and B. M. McDonald. 2008. “Performance of Building Structures during the October 15, 2006 Hawaii Earthquake.” In: 14th World Conference on Earthquake Engineering. Beijing, China

  • Haselton, Curt B., C. A. Goulet, J. Mitrani Reiser, James L. Beck, Gregory G. Deierlein, K. A. Porter, J. P. Stewart, and E. Taciroglu. 2007. “An Assessment to Benchmark the Seismic Performance of a Code-Conforming Reinforced Concrete Moment-Frame Building.” PEER Report 2007/12

  • Haselton, C. B., A. B. Liel, S. Taylor Lange, and G. G. Deierlein. 2008. “Beam-Column Element Model Calibrated for Predicting Flexural Response Leading to Global Collapse of RC Frame Buildings.” PEER Report 2007/03

  • HAZUS (2003) Multi-hazard loss estimation methodology —earthquake model. DC, USA, Washington

    Google Scholar 

  • Iervolino I, Manfredi G (2008) “A Review of ground motion record selection strategies for dynamic structural analysis. Modern Test Tech Struct Anal. https://doi.org/10.1007/978-3-211-09445-7_3

    Article  Google Scholar 

  • Kallioras S, Correia AA, Graziotti F, Penna A, Magenes G (2020) Collapse shake-table testing of a clay-URM building with chimneys. Bull Earthq Eng 18(3):1009–1048. https://doi.org/10.1007/s10518-019-00730-0

    Article  Google Scholar 

  • Kohrangi M, Bazzurro P, Vamvatsikos D (2016) Vector and scalar IMs in structural response estimation: part II—building demand assessment. Earthq Spectra 32(3):1525–1543. https://doi.org/10.1193/053115EQS081M

    Article  Google Scholar 

  • Kohrangi M, Bazzurro P, Vamvatsikos D, Spillatura A (2017) Conditional spectrum-based ground motion record selection using average spectral acceleration. Earthquake Eng Struct Dynam 46(10):1667–1685. https://doi.org/10.1002/eqe.2876

    Article  Google Scholar 

  • LazarSinković N, Dolšek M (2020) Fatality risk and its application to the seismic performance assessment of a building. Eng Struct 205(February):110108. https://doi.org/10.1016/j.engstruct.2019.110108

    Article  Google Scholar 

  • McKenna F, Scott MH, Fenves GL (2010) Nonlinear finite-element analysis software architecture using object composition. J Comput Civ Eng 24(1):95–107. https://doi.org/10.1061/(ASCE)CP.1943-5487.0000002

    Article  Google Scholar 

  • Decreto Ministeriale. 2017. “Linee Guida per La Classificazione Del Rischio Sismico Delle Costruzioni - 58/2017.” Il Ministero Delle Infrastrutture e Dei Trasporti. Rome, Italy

  • Ministeriale D (2020) Misure Urgenti in Materia Di Salute, Sostegno Al Lavoro e All’economia, Nonche’ Di Politiche Sociali Connesse All’emergenza Epidemiologica Da COVID-19 - 34/2020. Italy, Rome

    Google Scholar 

  • Mohamed H, RomÃo X (2021) Robust calibration of macro-models for the in-plane behavior of masonry Infilled RC frames. J Earthquake Eng 25(3):407–433. https://doi.org/10.1080/13632469.2018.1517703

    Article  Google Scholar 

  • NZS 1170.5:2004. 2004. “Structural Design Actions Part 5: Earthquake Actions—New Zealand.” NZS 1170.5:2004. Wellington, New Zealand

  • O’Reilly GJ (2021) Limitations of Sa(T1) as an intensity measure when assessing non-ductile infilled RC frame structures. Bull Earthq Eng 19(6):2389–2417. https://doi.org/10.1007/s10518-021-01071-7

    Article  Google Scholar 

  • O’Reilly GJ, Calvi GM (2020) Quantifying Seismic risk in structures via simplified demand-intensity models. Bull Earthq Eng 18(5):2003–2022. https://doi.org/10.1007/s10518-019-00776-0

    Article  Google Scholar 

  • O’Reilly GJ, Monteiro R (2019) Probabilistic models for structures with bilinear demand-intensity relationships. Earthquake Eng Struct Dynam 48(2):253–268. https://doi.org/10.1002/eqe.3135

    Article  Google Scholar 

  • O’Reilly GJ, Sullivan TJ (2018) Probabilistic seismic assessment and retrofit considerations for Italian RC frame buildings. Bull Earthq Eng 16(3):1447–1485. https://doi.org/10.1007/s10518-017-0257-9

    Article  Google Scholar 

  • O’Reilly GJ, Perrone D, Fox M, Monteiro R, Filiatrault A (2018) Seismic assessment and loss estimation of existing school buildings in Italy. Eng Struct 168(August):142–162. https://doi.org/10.1016/j.engstruct.2018.04.056

    Article  Google Scholar 

  • Orumiyehei A, Sullivan TJ (2020) Quantifying the likelihood of exceeding a limit state via the displacement-based assessment approach. J Earthquake Eng. https://doi.org/10.1080/13632469.2020.1828200

    Article  Google Scholar 

  • Passoni C, Marini A, Belleri A, Menna C (2021) Redefining the concept of sustainable renovation of buildings: state of the art and an LCT-based design framework. Sustain Cities Soc 64(January):102519. https://doi.org/10.1016/j.scs.2020.102519

    Article  Google Scholar 

  • Perrone D, Calvi PM, Nascimbene R, Fischer EC, Magliulo G (2018) Seismic performance of non-structural elements during the 2016 central italy earthquake. Bull Earthq Eng. https://doi.org/10.1007/s10518-018-0361-5

    Article  Google Scholar 

  • Perrone D, Brunesi E, Filiatrault A, Nascimbene R (2020) Probabilistic estimation of floor response spectra in masonry infilled reinforced concrete building portfolio. Eng Struct 202:109842. https://doi.org/10.1016/j.engstruct.2019.109842

    Article  Google Scholar 

  • Polese, Maria, Marco Gaetani d’Aragona, Marco Di Ludovico, and Andrea Prota. 2019. “Simplified Assessment of Seismic Performance for RC Building Classes towards Preliminary Applications of SISMABONUS Incentive at the Community Scale.” In: 13th International Conference on Applications of Statistics and Probability in Civil Engineering (ICASP13). Seoul, South Korea. https://doi.org/10.22725/ICASP13.340

  • Recommendations for Improved Seismic Performance of Nonstructural Components.” Gaithersburg, MD. https://doi.org/10.6028/NIST.GCR.18-917-43

  • Ricci P, De Luca F, Verderame GM (2011) 6th April 2009 L’Aquila Earthquake, Italy: reinforced concrete building performance. Bull Earthq Eng 9(1):285–305. https://doi.org/10.1007/s10518-010-9204-8

    Article  Google Scholar 

  • Sewell RT, Toro GR, McGuire RK (1991) Impact of ground motion characterisation on conservatism and variability in Seismic Risk Estimates—NUREG/CR-6467. Washingtion, DC

    Google Scholar 

  • Shahnazaryan D, O’Reilly GJ (2021) Integrating expected loss and collapse risk in performance-based seismic design of structures. Bull Earthq Eng 19(2):987–1025. https://doi.org/10.1007/s10518-020-01003-x

    Article  Google Scholar 

  • Silva V, Crowley H, Varum H, Pinho R, Sousa L (2014) Investigation of the characteristics of portuguese regular moment-frame rc buildings and development of a vulnerability model. Bull Earthq Eng 13(5):1455–1490. https://doi.org/10.1007/s10518-014-9669-y

    Article  Google Scholar 

  • Silva, Vitor, Chiara Casotto, Dimitrios Vamvatsikos, Anirudh S Rao, and Mabe Villar Vega. 2017. “Presentation of the Risk Modeller’s Toolkit, the Open–Source Software for Vulnerability Assessment of the Global Earthquake Model.” In: 16th World Conference on Earthquake Engineering. Santiago, Chile

  • Steneker P, Filiatrault A, Wiebe L, Konstantinidis D (2020) Integrated structural-nonstructural performance-based seismic design and retrofit optimization of buildings. J Struct Eng 146(8):04020141. https://doi.org/10.1061/(ASCE)ST.1943-541X.0002680

    Article  Google Scholar 

  • Sullivan TJ, Dhakal RP, Stanway J (2020) A framework for the seismic rating of non-structural elements in buildings. In: 17th world conference on earthquake engineering. Sendai, Japan

  • Sullivan TJ, Saborio-Romano D, O’Reilly GJ, Welch DP, Landi L (2021) Simplified pushover analysis of moment resisting frame structures. J Earthquake Eng 25(4):621–648. https://doi.org/10.1080/13632469.2018.1528911

    Article  Google Scholar 

  • Taghavi, Shahram, and Eduardo Miranda. 2003. “Response Assessment of Nonstructural Building Elements.” PEER Report 2003/05

  • Tomassetti U, Correia AA, Graziotti F, Penna A (2019) Seismic vulnerability of roof systems combining URM gable walls and timber diaphragms. Earthq Eng Struct Dynam. https://doi.org/10.1002/eqe.3187

    Article  Google Scholar 

  • Vamvatsikos D (2013) Derivation of new SAC/FEMA performance evaluation solutions with second-order hazard approximation. Earthquake Eng Struct Dynam 42(8):1171–1188. https://doi.org/10.1002/eqe.2265

    Article  Google Scholar 

  • Vamvatsikos D, Kazantzi AK, Aschheim MA (2016) Performance-based seismic design: avant-garde and code-compatible approaches. ASCE-ASME J Risk Uncertain Eng Syste Part a Civil Eng 2(2):C4015008. https://doi.org/10.1061/AJRUA6.0000853

    Article  Google Scholar 

  • Villar-Vega M, Silva V, Crowley H, Yepes C, Tarque N, Acevedo AB, Hube MA, Gustavo CD, María HS (2017) Development of a fragility model for the residential building stock in South America. Earthq Spectra 33(2):581–604. https://doi.org/10.1193/010716EQS005M

    Article  Google Scholar 

  • Welch, David P. 2016. “Non-Structural Element Considerations for Contemporary Performance-Based Earthquake Engineering.” Pavia, Italy: PhD Thesis, IUSS Pavia

  • Welch, David P., and Timothy John Sullivan. 2017. “Illustrating a New Possibility for the Estimation of Floor Spectra in Nonlinear Multi-Degree of Freedom Systems.” In: 16th World Conference on Earthquake Engineering. Santiago, Chile

  • Woessner J, Laurentiu D, Giardini D, Crowley H, Cotton F, Grünthal G, Valensise G et al (2015) The 2013 European seismic hazard model: key components and results. Bull Earthq Eng 13(12):3553–3596. https://doi.org/10.1007/s10518-015-9795-1

    Article  Google Scholar 

  • Žižmond J, Dolšek M (2019) Formulation of risk-targeted seismic action for the force-based seismic design of structures. Earthquake Eng Struct Dynam 48(12):1406–1428. https://doi.org/10.1002/eqe.3206

    Article  Google Scholar 

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Funding

The work presented in this paper has been developed within the framework of the project “Dipartimenti di Eccellenza”, funded by the Italian Ministry of Education, University and Research at IUSS Pavia.

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Gerard J. O’Reilly: Conceptualisation; Validation; Supervision; Writing—Initial drafting, editing and reviewing. Gian Michele Calvi: Conceptualisation; Validation; Supervision; Writing—editing and reviewing.

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O’Reilly, G.J., Calvi, G.M. A seismic risk classification framework for non-structural elements. Bull Earthquake Eng 19, 5471–5494 (2021). https://doi.org/10.1007/s10518-021-01177-y

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