Optimal earthquake intensity measures for probabilistic seismic demand models of ARP1400 reactor containment building

• Published in: Nuclear engineering and technology Vol. 53; no. 12; pp. 4179 - 4188
• Main Authors: Nguyen, Duy-Duan, Thusa, Bidhek, Azad, Md Samdani, Tran, Viet-Linh, Lee, Tae-Hyung
• Format: Journal Article
• Language: Korean
• Published: 2021
• Subjects: Earthquake intensity measure; Fragility curve; Optimality; Nonlinear time-history analysis; Reactor containment building; Probabilistic seismic demand model
• ISSN: 1738-5733; 2234-358X

This study identifies efficient earthquake intensity measures (IMs) for seismic performances and fragility evaluations of the reactor containment building (RCB) in the advanced power reactor 1400 (APR1400) nuclear power plant (NPP). The computational model of RCB is constructed using the beam-truss model (BTM) for nonlinear analyses. A total of 90 ground motion records and 20 different IMs are employed for numerical analyses. A series of nonlinear time-history analyses are performed to monitor maximum floor displacements and accelerations of RCB. Then, probabilistic seismic demand models of RCB are developed for each IM. Statistical parameters including coefficient of determination (R2), dispersion (i.e. standard deviation), practicality, and proficiency are calculated to recognize strongly correlated IMs with the seismic performance of the NPP structure. The numerical results show that the optimal IMs are spectral acceleration, spectral velocity, spectral displacement at the fundamental period, acceleration spectrum intensity, effective peak acceleration, peak ground acceleration, A95, and sustained maximum acceleration. Moreover, weakly related IMs to the seismic performance of RCB are peak ground displacement, root-mean-square of displacement, specific energy density, root-mean-square of velocity, peak ground velocity, Housner intensity, velocity spectrum intensity, and sustained maximum velocity. Finally, a set of fragility curves of RCB are developed for optimal IMs.