Seismic Damage Estimation of an Actual Reinforced Concrete Structure Using Subset MCMC

Author(s)
Shigeru Kushiyama

ABSTRACT

To estimate seismic damage of structures under strong motions is very important to know true safety of structures. However, we have to deal with very small failure probability issue to investigate quantitatively. If we use standard MCS (Monte Calro Simulation) to discuss failure probability, e.g., 1 × 10^{-6} order, since we have to execute nonlinear dynamic response analyses of approximate 10^{7} times, it is not realistic. Recently, a subset simulation, which reduces the computation time by replacing small failure probability into the product of conditional failure probabilities, was proposed. In this study, the subset simulation is applied to estimate failure probability of an actual reinforced concrete building with 11 stories, and discuss the safety of the structure by checking with design criteria.

Cite this paper

S. Kushiyama, "Seismic Damage Estimation of an Actual Reinforced Concrete Structure Using Subset MCMC,"*Open Journal of Civil Engineering*, Vol. 3 No. 3, 2013, pp. 136-142. doi: 10.4236/ojce.2013.33016.

S. Kushiyama, "Seismic Damage Estimation of an Actual Reinforced Concrete Structure Using Subset MCMC,"

References

[1] S. K. Au and J. L. Beck, “Subset Simulation and Its Ap plication to Seismic Risk Based on Dynamics Analysis,” Journal of Engineering Mechanics, Vol. 129, No. 8, 2003, pp. 901-917.

doi:10.1061/(ASCE)0733-9399(2003)129:8(901)

[2] W. R. Gilks, S. Richardson and D. J. Spiegelhalter, “In troducing Markov chain Monte Carlo,” In: W. R. Gilks, S. Richardson and D. J. Spiegelhalter, Eds., Markov Chain Monte Carlo in Practice, CRC Press, 1996, pp. 1-19.

[3] A. E. Raftery and S. M. Lewis, “The Number of Iterations, Convergence Diagnostics and Generic Metropolis Algorithms,” 1999. http://www.stat.washington.edu/www/research/online/

[4] A. Gelman, “Inference and Monitoring Convergence,” In: W. R. Gilks, S. Richardson and D. J. Spiegelhalter, Eds., Markov Chain Monte Carlo in Practice, CRC Press, 1996, pp. 131-143.

[1] S. K. Au and J. L. Beck, “Subset Simulation and Its Ap plication to Seismic Risk Based on Dynamics Analysis,” Journal of Engineering Mechanics, Vol. 129, No. 8, 2003, pp. 901-917.

doi:10.1061/(ASCE)0733-9399(2003)129:8(901)

[2] W. R. Gilks, S. Richardson and D. J. Spiegelhalter, “In troducing Markov chain Monte Carlo,” In: W. R. Gilks, S. Richardson and D. J. Spiegelhalter, Eds., Markov Chain Monte Carlo in Practice, CRC Press, 1996, pp. 1-19.

[3] A. E. Raftery and S. M. Lewis, “The Number of Iterations, Convergence Diagnostics and Generic Metropolis Algorithms,” 1999. http://www.stat.washington.edu/www/research/online/

[4] A. Gelman, “Inference and Monitoring Convergence,” In: W. R. Gilks, S. Richardson and D. J. Spiegelhalter, Eds., Markov Chain Monte Carlo in Practice, CRC Press, 1996, pp. 131-143.