GROUND MOTION MODEL FOR SEISMIC VULNERABILITY ASSESSMENT OF PROTOTYPE INDUSTRIAL PLANTS

Abstract Relationships between seismic action, system response and relevant damage levels in industrial plants require a solid background both in experimental data, due to the high level of non-linearity and seismic input. Besides, risk and fragility analyses depend on the adoption of a huge number of seismic records usually not available in a site-specific analysis. In order to manage these issues and to gain knowledge on the definition of damage levels, limit states and performance for major-hazard industrial plant components, we present a possible approach for an experimental campaign based on a real prototype industrial steel structure. The investigation of the seismic behaviour of the reference structure will be carried out through shaking table tests. In particular, tests are focused on structural or process-related interactions that can lead to serious secondary damages as leakage in piping systems or connections with tanks and cabinets. The aforementioned test program has been possible thanks to the adoption of: i) a number of artificial spectrum-compatible accelerograms; ii) a ground motion model (GMM) able to generate a suite of synthetic time-histories records for specified site characteristic and earthquake scenarios. More precisely, GMM model parameters can be identified by matching the statistics of a target-recorded accelerogram to the ones of the model in terms of faulting mechanism, earthquake magnitude, source-to-site distance and site shear-wave velocity. As a result, the stochastic model, based both on these matched parameters and on filtered white-noise process, can generate the ensemble of synthetic ground motions capable of capturing the main features of real earthquake ground motions, including intensity, duration, spectral content and peak values. Moreover, the synthetic records are selected to target specific damages and limit states in industrial components. Finally, by means of the combination of artificial and synthetic accelerograms, a seismic vulnerability assessment of both the whole structure and relevant industrial components can be carried out.

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Seismic Vulnerability Assessment of Pile Foundation in Liquefied Soil Incorporating Ground Motion Uncertainty

Lecture Notes in Civil Engineering - Geohazards ◽

10.1007/978-981-15-6233-4_39 ◽

2020 ◽

pp. 555-562

Author(s):

Partha Bhowmik ◽

Rajib Saha

Keyword(s):

Ground Motion ◽

Vulnerability Assessment ◽

Pile Foundation ◽

Seismic Vulnerability ◽

Seismic Vulnerability Assessment

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Ground Motion Intensity Measures for Seismic Vulnerability Assessment of Steel Storage Tanks with Unanchored Support Conditions

Journal of Pressure Vessel Technology ◽

10.1115/1.4051244 ◽

2021 ◽

Author(s):

Hoang Nam Phan ◽

Fabrizio Paolacci ◽

Van My Nguyen ◽

Phuong Hoa Hoang

Keyword(s):

Comparative Study ◽

Ground Motion ◽

Vulnerability Assessment ◽

Seismic Vulnerability ◽

Superior Performance ◽

Spectral Acceleration ◽

Storage Tanks ◽

Intensity Measures ◽

Seismic Vulnerability Assessment ◽

Support Conditions

Abstract This paper aims to comprehensively evaluate the performance of a series of ground motion intensity measures (IMs) used in the seismic vulnerability assessment of steel storage tanks with unanchored support conditions. Sixteen well-known IMs are thus selected, which are classified into amplitude-, frequency-, and time-based categories. A comparative study is then performed on four different unanchored steel storage tanks subjected to a suite of 140 ground motion records that is comprised of seven different bins of records with different hazard levels. In this regard, the tanks are appropriately modeled based on a simplified approach, whose uplift and sliding nonlinear behaviors are properly implemented based on a three-dimensional nonlinear pushover analysis of the tanks. Four characteristics of the examined IMs including efficiency, practicality, proficiency, and sufficiency are evaluated based on a probabilistic seismic demand model of two critical failure modes of the tanks, i.e., plastic rotation of the shell-to-bottom connection and elephant's foot buckling of the shell plate. According to the comparative study, frequency-based IMs demonstrate their superior performance for all criteria compared with other groups; in particular, the average spectral acceleration gains the highest ranking. Finally, an appropriate range of the upper period considered in the average spectral acceleration IM is then proposed to optimize the efficiency of this IM for the examined tanks.

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Application of the Response Spectrum Method for the Differentiated Seismic Ground Motion Model

Vestnik MEI ◽

10.24160/1993-6982-2017-5-48-56 ◽

2017 ◽

pp. 48-56

Author(s):

Elena V. Poznyak ◽

◽

Olga V. Novikova ◽

Keyword(s):

Ground Motion ◽

Response Spectrum ◽

Motion Model ◽

Response Spectrum Method ◽

Seismic Ground Motion ◽

Spectrum Method ◽

Ground Motion Model

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Simulation of non-stationary stochastic ground motions based on recent Italian earthquakes

Bulletin of Earthquake Engineering ◽

10.1007/s10518-021-01077-1 ◽

2021 ◽

Author(s):

Fabio Sabetta ◽

Antonio Pugliese ◽

Gabriele Fiorentino ◽

Giovanni Lanzano ◽

Lucia Luzi

Keyword(s):

Ground Motion ◽

Ground Motions ◽

Strong Motion ◽

Stochastic Simulations ◽

Model Parameters ◽

Motion Model ◽

Arias Intensity ◽

Time Frequency ◽

Ground Motion Model ◽

Ground Motion Records

AbstractThis work presents an up-to-date model for the simulation of non-stationary ground motions, including several novelties compared to the original study of Sabetta and Pugliese (Bull Seism Soc Am 86:337–352, 1996). The selection of the input motion in the framework of earthquake engineering has become progressively more important with the growing use of nonlinear dynamic analyses. Regardless of the increasing availability of large strong motion databases, ground motion records are not always available for a given earthquake scenario and site condition, requiring the adoption of simulated time series. Among the different techniques for the generation of ground motion records, we focused on the methods based on stochastic simulations, considering the time- frequency decomposition of the seismic ground motion. We updated the non-stationary stochastic model initially developed in Sabetta and Pugliese (Bull Seism Soc Am 86:337–352, 1996) and later modified by Pousse et al. (Bull Seism Soc Am 96:2103–2117, 2006) and Laurendeau et al. (Nonstationary stochastic simulation of strong ground-motion time histories: application to the Japanese database. 15 WCEE Lisbon, 2012). The model is based on the S-transform that implicitly considers both the amplitude and frequency modulation. The four model parameters required for the simulation are: Arias intensity, significant duration, central frequency, and frequency bandwidth. They were obtained from an empirical ground motion model calibrated using the accelerometric records included in the updated Italian strong-motion database ITACA. The simulated accelerograms show a good match with the ground motion model prediction of several amplitude and frequency measures, such as Arias intensity, peak acceleration, peak velocity, Fourier spectra, and response spectra.

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