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Post-event regional seismic risk assessment via vector-IM based record updating
Published in Hiroshi Yokota, Dan M. Frangopol, Bridge Maintenance, Safety, Management, Life-Cycle Sustainability and Innovations, 2021
To demonstrate the efficacy of record updating in uncertainty reduction of the spatial IM random field as well as the final regional risk estimates. A hypothetical multi-span simply-supported concrete girder highway bridge portfolio (203 bridges) located in Shelby County, Tennessee is considered for the case-study. Figure 1 shows the schematic of the highway bridge structures. Bridge-specific parameters such as span length, number of spans, column height and deck width are extracted from the National Bridge Inventory Data (FHWA 2017). The seismic hazard of the studied region is dominated by the New Madrid Seismic Zone (NMSZ). A Mw = 7.7 scenario earthquake (SE) with the epicenter at (35.3°N, 90.3°W), which was previously adopted by Adachi & Ellingwood (2009), is considered with a strike-slip fault mechanism. A uniform VS30 = 260m/s is considered. Ten seismic stations within the studied region are extracted from the Center for Earthquake Research and Information (CERI) at the University of Memphis. The spatial distributions of the bridge portfolio, epicenter of the SE and the seismic stations are shown in Figure 2.
Regional resilience analysis
Published in Paolo Gardoni, Routledge Handbook of Sustainable and Resilient Infrastructure, 2018
Neetesh Sharma, Armin Tabandeh, Paolo Gardoni
We illustrate the multi-scale approach for the recovery modeling of interdependent electric power and potable water infrastructure in Shelby County, TN, US. The population of Shelby County is about 1 million people, out of which about 70 percent centers in the city of Memphis. The region of interest could experience a damaging earthquake originated from the New Madrid Seismic Zone (NMSZ). In this example, we consider a (historical) scenario earthquake with magnitude and epicenter at and (north of Shelby County).
Implication of building inventory accuracy on physical and socio-economic resilience metrics for informed decision-making in natural hazards
Published in Structure and Infrastructure Engineering, 2020
Milad Roohi, John W. van de Lindt, Nathanael Rosenheim, Yuchen Hu, Harvey Cutler
Researchers have widely studied the Memphis Metropolitan Statistical Area (MMSA). The MMSA was selected as a testbed for research studies by researchers in the NIST Center for Risk-Based Community Resilience Planning to test algorithms developed for community resilience assessment on a large urban area with a diverse population and economy. The population of Memphis, Shelby County, and MMSA, respectively, are about 0.7 million, 1.0 million, and 1.4 million. This dense population lies within the most seismically active area of Central and Eastern United States, called the New Madrid Seismic Zone (NMSZ), which can produce large damaging earthquakes.
A streamlined approach for evaluating post-earthquake performance of an electric network
Published in Sustainable and Resilient Infrastructure, 2020
Amir Sarreshtehdari, Negar Elhami Khorasani, Maxwell Coar
The first step in the analysis, as indicated in Figure 8, is to define an earthquake scenario and determine the PGA values at the location of network components. Shinozuka et al. (1998) does not report the PGA values used in their study. A study completed by USGS (Cramer et al., 2004) provides conditional spectra Sa (0.2) and Sa (1.0), and the PGA values in the Shelby County for two earthquake scenarios: (a) a 7.7-magnitude earthquake in the new Madrid seismic zone with a range of PGA values between 0.4 and 1.2 [g], and (b) a 6.2-magnitude earthquake with the epicenter at Marked Tree, Arkansas, with a range of PGA values between 0.1 and 0.4 [g]. Alternative procedures, such as the Toro attenuation equation (Toro et al., 1997), the formulation discussed by Ambraseys et al. (2005), or a more refined ground motion prediction equation, developed as part of the Next Generation Attenuation for Central and East North America project (PEER, 2015), were applied to derive the PGA values assuming that the epicenter is located at Marked Tree. Such procedures require inputs for characteristics of the site, transverse wave velocity, the fault mechanism, etc. The USGS study (Cramer et al., 2004) took into account soil condition and characteristics of the site but considered earthquake magnitudes of 6.2 and 7.7, while Shinozuka et al. (1998) investigated the performance of electric network for earthquake magnitudes of 6.5 and 7.5. However, the variations in PGA values obtained from alternative approaches, and their sensitivity to different assumptions, made the comprehensive study by the USGS the most rational option. The USGS report (Cramer et al., 2004) provides contours of PGA values for the two earthquake scenarios. The contours are interpolated for the locations of power generators and substations in the Shelby County.