Browse > Article
http://dx.doi.org/10.1016/j.net.2021.03.017

Distributed plasticity approach for nonlinear analysis of nuclear power plant equipment: Experimental and numerical studies  

Tran, Thanh-Tuan (Institute of Offshore Wind Energy, Kunsan National University)
Salman, Kashif (Department of Civil and Environmental Engineering, Kunsan National University)
Kim, Dookie (Department of Civil and Environmental Engineering, Kongju National University)
Publication Information
Nuclear Engineering and Technology / v.53, no.9, 2021 , pp. 3100-3111 More about this Journal
Abstract
Numerical modeling for the safety-related equipment used in a nuclear power plant (i.e., cabinet facilities) plays an essential role in seismic risk assessment. A full finite element model is often time-consuming for nonlinear time history analysis due to its computational modeling complexity. Thus, this study aims to generate a simplified model that can capture the nonlinear behavior of the electrical cabinet. Accordingly, the distributed plasticity approach was utilized to examine the stiffness-degradation effect caused by the local buckling of the structure. The inherent dynamic characteristics of the numerical model were validated against the experimental test. The outcomes indicate that the proposed model can adequately represent the significant behavior of the structure, and it is preferred in practice to perform the nonlinear analysis of the cabinet. Further investigations were carried out to evaluate the seismic behavior of the cabinet under the influence of the constitutive law of material models. Three available models in OpenSees (i.e., linear, bilinear, and Giuffre-Menegotto-Pinto (GMP) model) were considered to provide an enhanced understating of the seismic responses of the cabinet. It was found that the material nonlinearity, which is the function of its smoothness, is the most effective parameter for the structural analysis of the cabinet. Also, it showed that implementing nonlinear models reduces the seismic response of the cabinet considerably in comparison with the linear model.
Keywords
Cabinet facility; Experimental modal analysis; Simplified model; Distributed plasticity; Fiber elements; Constitutive material models;
Citations & Related Records
연도 인용수 순위
  • Reference
1 M.K. Kim, I.K. Choi, A failure mode evaluation of a 480V MCC in nuclear power plants at the seismic events, in: 20th Int. Conf. Struct. Mech. React. Technol., Espoo, Finland, 2009.
2 A. Calabrese, J.P. Almeida, R. Pinho, Numerical issues in distributed inelasticity modeling of RC frame elements for seismic analysis, J. Earthq. Eng. 14 (2010) 38-68, https://doi.org/10.1080/13632461003651869.   DOI
3 L. Baccarini, M. Capretta, M. Casirati, A. Castaldi, Seismic Qualification Tests of Electric Equipment for Caorso Nuclear Plant: Comments on Adopted Test Procedure and Results, IASMiRT, 1975.
4 A.T. Cao, T.T. Tran, T.H.X. Nguyen, D. Kim, Simplified approach for seismic risk assessment of cabinet facility in nuclear power plants based on cumulative absolute velocity, Nucl. Technol. 206 (2019) 1-15, https://doi.org/10.1080/00295450.2019.1696643.   DOI
5 M. Menegotto, Method of analysis for cyclically loaded RC plane frames including changes in geometry and non-elastic behavior of elements under combined normal force and bending, in: Proc.. of IABSE symposium on resistance and ultimate deformability of structures acted on by well defined repeated loads. Lisbon, Portugal, Vol. 11, 1973, pp. 15-22.
6 B.J. Goodno, N.C. Gould, P. Caldwell, P.L. Gould, Effects of the January 2010 haitian earthquake on selected electrical equipment, Earthq. Spectra 27 (2011) 251-276, https://doi.org/10.1193/1.3636415.   DOI
7 E. Lim, A Method for Generating Simplified Finite Element Models for Electrical Cabinets, Georgia Institute of Technology, 2016.
8 J. Hur, Seismic Performance Evaluation of Switchboard Cabinets Using Nonlinear Numerical Models, Georgia Institute of Technology, 2012.
9 T.-T. Tran, A.-T. Cao, T.-H.-X. Nguyen, D. Kim, Fragility assessment for electric cabinet in nuclear power plant using response surface methodology, Nucl. Eng. Technol. 51 (2019), https://doi.org/10.1016/j.net.2018.12.025.   DOI
10 S. Cho, D. Kim, S.C. Design, A simplified model for nonlinear seismic response analysis of equipment cabinets in nuclear power plants, Nucl. Eng. Des. 241 (2011) 2750-2757.   DOI
11 K. Salman, T.T. Tran, D. Kim, Grouping effect on the seismic response of cabinet facility considering primary-secondary structure interaction, Nucl. Eng. Technol. 52 (2019) 1318-1326, https://doi.org/10.1016/j.net.2019.11.024.   DOI
12 T.T. Tran, A.T. Cao, D. Kim, S. Chang, Seismic vulnerability of cabinet facility with tuned mass dampers subjected to high- and low-frequency earthquakes, Appl. Sci. 10 (2020), https://doi.org/10.3390/app10144850.   DOI
13 W. Djordjevic, J. O'Sullivan, Guidelines for Development of In-Cabinet Amplified Response Spectra for Electrical Benchboards and Panels, 1990.
14 T.-T. Tran, P.-C. Nguyen, G. So, D. Kim, Seismic behavior of steel cabinets considering nonlinear connections and site-response effects, Steel Compos. Struct. 36 (2020) 17-29.   DOI
15 P.C. Nguyen, S.E. Kim, A new improved fiber plastic hinge method accounting for lateral-torsional buckling of 3D steel frames, Thin-Walled Struct. 127 (2018) 666-675, https://doi.org/10.1016/j.tws.2017.12.031.   DOI
16 F. Taucer, E. Spacone, F.C. Filippou, A Fiber Beam-Column Element for Seismic Response Analysis of Reinforced Concrete Structures, 1991.
17 F. Mazza, A distributed plasticity model to simulate the biaxial behaviour in the nonlinear analysis of spatial framed structures, Comput. Struct. 135 (2014) 141-154.   DOI
18 N. Noh, L. Liberatore, F. Mollaioli, S. Tesfamariam, Modelling of masonry infilled RC frames subjected to cyclic loads: state of the art review and modelling with OpenSees, Eng. Struct. 150 (2017) 599-621.   DOI
19 A. Gupta, J. Yang, Modified Ritz vector approach for dynamic properties of electrical cabinets and control panels, Nucl. Eng. Des. 217 (2002) 49-62.   DOI
20 T.-T. Tran, D. Kim, Uncertainty quantification for nonlinear seismic analysis of cabinet facility in nuclear power plants, Nucl. Eng. Des. 355 (2019) 110309, https://doi.org/10.1016/j.nucengdes.2019.110309.   DOI
21 K. Salman, T.T. Tran, D. Kim, Seismic capacity evaluation of NPP electrical cabinet facility considering grouping effects, J. Nucl. Sci. Technol. 57 (2020) 1-13, https://doi.org/10.1080/00223131.2020.1724206.   DOI
22 R. Astroza, H. Ebrahimian, J.P. Conte, Material parameter identification in distributed plasticity FE models of frame-type structures using nonlinear stochastic filtering, J. Eng. Mech. 141 (2015), https://doi.org/10.1061/(ASCE)EM.1943-7889.0000851.   DOI
23 A. Gupta, S. Rustogi, A. Gupta, Ritz vector approach for evaluating incabinet response spectra, Nucl. Eng. Des. 190 (1999) 255-272.   DOI
24 A. Zendaoui, A. Kadid, D. Yahiaoui, Comparison of different numerical models of RC elements for predicting the seismic performance of structures, Int. J. Concr. Struct. Mater. 10 (2016) 461-478, https://doi.org/10.1007/s40069-016-0170-7.   DOI
25 F. McKenna, OpenSees: a framework for earthquake engineering simulation, Comput. Sci. Eng. 13 (2011) 58-66.   DOI
26 A.E. Jeffers, A Fiber-Based Approach for Modeling Beam-Columns under Fire Loading, Virginia Polytechnic Institute and State University, 2009.
27 J.P. Conte, P.K. Vijalapura, M. Meghella, Consistent finite-element response sensitivity analysis, J. Eng. Mech. 129 (2003) 1380-1393, https://doi.org/10.1061/(ASCE)0733-9399(2003)129:12(1380).   DOI
28 R. Brincker, L. Zhang, P. Andersen, Modal identification of output-only systems using frequency domain decomposition, Smart Mater. Struct. 10 (2001) 441-445, https://doi.org/10.1088/0964-1726/10/3/303.   DOI
29 P.C. Nguyen, S.E. Kim, Distributed plasticity approach for time-history analysis of steel frames including nonlinear connections, J. Constr. Steel Res. 100 (2014) 36-49, https://doi.org/10.1016/j.jcsr.2014.04.012.   DOI
30 T.-T. Tran, M. Hussan, D. Kim, P.-C. Nguyen, Distributed plasticity approach for the nonlinear structural assessment of offshore wind turbine, Int. J. Nav. Archit. Ocean Eng. 12 (2020) 743-754.   DOI
31 IEEE-693, IEEE Recommended Practice for Seismic Design of Substations, 2005.
32 AC156, Acceptance Criteria for Seismic Certification by Shake-Table Testing of Nonstructural Components, 2006.
33 D. Gasparini, E. Vanmarcke, SIMQKE: User's Manual and Documentation, 1976.
34 H. Roh, A. Reinhorn, J. Lee, Power spread plasticity model for inelastic analysis of reinforced concrete structures, Eng. Struct. 39 (2012) 148-161.   DOI
35 T.T. Tran, A.T. Cao, K. Salman, P.C. Nguyen, D. Kim, Experimental and numerical modal analysis of cabinet facility considering the connection nonlinearity, in: Lect. Notes Civ. Eng., Springer, 2020, pp. 1093-1100, https://doi.org/10.1007/978-981-15-5144-4_106.   DOI
36 M. Barbato, J.P. Conte, Finite element structural response sensitivity and reliability analyses using smooth versus non-smooth material constitutive models, Int. J. Reliab. Saf. 1 (2006) 3-39, https://doi.org/10.1504/ijrs.2006.010688.   DOI