Efficient Seismic Fragility Analysis for Large-Scale Piping System Utilizing Bayesian Approach

Abstract

In the event of an earthquake, it is essential to accurately assess the seismic fragility of piping systems to ensure the continued safety of society. When evaluating the seismic fragility of a piping system, which is generally a secondary structural system, this should mainly be an integrated model that includes both the primary structural frames and the secondary ones, unlike the primary structural system of a building. Hence, the piping seismic fragility evaluation has an issue in that it takes considerable computational time because numerical analyses must be performed on a relatively complex model. Given this background, the purpose of this study is to propose an efficient piping seismic fragility analysis method by utilizing the existing seismic fragility analysis method and the Bayesian updating concept. In order to verify the validity of the proposed method, it was applied to a building–piping coupled structural system example, and its results were analyzed and compared with the results of the existing method in terms of accuracy and efficiency. As a result, the proposed method showed a similar accuracy compared with the existing method while significantly reducing the numerical cost of nonlinear seismic response analyses necessary for these results.

Seismic performance of an industrial multi-storey frame structure with process equipment subjected to shake table testing

“…Moreover, Bursi et al (26) showed that a typical petrochemical piping system coupled with a steel support structure is endowed with a limited q factor, because both pipes and the support floors cannot ensure a rigid floor behavior and a great involvement of dissipative elements. In addition, (27) and (28) demonstrated that the response of a piping system can be greatly reduced by including the nonlinear behaviour of local supports.…”

Seismic Experimental Assessment of Remote Terminal Unit System with Friction Pendulum under Triaxial Shake Table Tests

“…u represent the vertical load from the upper structure, radius of curvature of the curved surface, horizontal displacement, surface friction coefficient, and velocity, respectively. The natural period of the FPS can be determined by R, regardless of the upper structure mass, according to Equation (2).…”

“…Recently, nonstructural systems, such as mechanical and electrical equipment, suffered relatively extensive damage during strong ground motion, even when the primary system had no structural damage [1]. In addition, in moderate seismic zones, such as the Korean Peninsula, earthquake damage is concentrated on nonstructural components; nonstructural earthquake damage, including damage to electrical equipment and piping systems, was observed in the 2016 Gyeongju and 2017 Pohang earthquakes in Korea [2,3].…”

Development of a Probabilistic Seismic Performance Assessment Model of Slope Using Machine Learning Methods

“…However, since the start of monitoring and measuring earthquake motions in 1978, earthquakes in Korea with a moment magnitude of 2.0 or higher have occurred 20 times per year until 1998, but this frequency has increased to an average of 48 times per year during the period between 1998 and 2015 [3]. Furthermore, Korea has experienced two strong earthquakes, one in Gyeongju in 2016 and the other in Pohang in 2017, raising concerns over safety during earthquakes near major facilities [1,[4][5][6].…”