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Session: Problem Unsolved: Knowledge Gaps at the Intersection of Earthquake Engineering Practice and Research [Poster]

Type: Poster

Date: 4/26/2019

Time: 06:00 PM

Room: Grand Ballroom

Recent technological advances, such as lidar and optical imagery correlation, have facilitated dense, high-resolution datasets that measure both “on-fault” and “off-fault” displacements (i.e., discrete brittle slip and distributed inelastic strain, respectively) in surface-rupturing earthquakes. These datasets are a substantial improvement over older datasets that typically contain irregularly-spaced measurement locations, relatively few data points, and lack measurements off the primary rupture. Currently available fault displacement databases (e.g., Wells and Coppersmith, 1994; Wesnousky, 2008) are comprised of vintage datasets that serve as the basis for Probabilistic Fault Displacement Hazard Analysis (PFDHA) models (e.g., Youngs et al., 2003; Petersen et al., 2011; Lavrentiadis and Abrahamson, in prep.). The development of next-generation fault displacement models requires a modern database that can accommodate both vintage data and newer datasets. Toward this end, we are developing a structured relational database for fault displacements, modeled after the Next Generation Liquefaction (Brandenberg et al., 2018) and the Next Generation Attenuation Subduction databases (Mazzoni et al., in prep.). A relational database is ideal for compiling fault displacements because of the broad range of measurement types (e.g., horizontal throw vs. horizontal slip; on-fault vs. off-fault) in the published literature. These dataset-specific attributes are easily retained in a relational database. A relational database can also accommodate new data that may become available in future studies (e.g., displacement profiles in addition to point observations) as well as site-specific metadata (geology, groundwater depth, topography, etc.). Our database currently includes earthquake metadata, point displacement measurements, mapped surface ruptures, and geologic metadata. The compilation is anticipated to include about 30-40 earthquakes and can be used in new models to better constrain the amplitude and spatial distribution of both on-fault and off-fault deformation.

Presenting Author: Alexandra Sarmiento

Additional Authors

Alexandra Sarmiento

Presenting Author Corresponding Author

sarmiento.alexandrac@gmail.com

University of California, Los Angeles, Los Angeles, California, United States

Norman Abrahamson

abrahamson@berkeley.edu

University of California, Berkeley, Berkeley, California, United States

Stéphane Baize

stephane.baize@irsn.fr

Institut de Radioprotection et de Sûreté Nucléaire, Fontenay-aux-Roses, , France

Yousef Bozorgnia

yousef.bozorgnia@ucla.edu

University of California, Los Angeles, Los Angeles, California, United States

Rui Chen

rui.chen@conservation.ca.gov

California Geological Survey, Sacramento, California, United States

Kevin J Coppersmith

kcoppersmith@earthlink.net

Coppersmith Consulting, Inc., Walnut Creek, California, United States

Timothy E Dawson

timothy.dawson@conservation.ca.gov

California Geological Survey, San Mateo, California, United States

Jennifer L Donahue

jennifer@jldengineering.com

JL Donahue Engineering, Inc., Kentfield, California, United States

Vince Jacob

vince@scsolutions.com

SC Solutions, Sunnyvale, California, United States

Mehrshad Ketabdar

mketabdar@semprautilities.com

Southern California Gas Company, Covina, California, United States

Albert R Kottke

arkk@pge.com

Pacific Gas and Electric Company, San Francisco, California, United States

Nicolas M Kuehn

kuehn@g.ucla.edu

University of California, Los Angeles, Los Angeles, California, United States

Grigorios Lavrentiadis

glavrent@berkeley.edu

University of California, Berkeley, Berkeley, California, United States

Chris Madugo

c7m0@pge.com

Pacific Gas and Electric Company, San Francisco, California, United States

Silvia Mazzoni

silviamazzoni@yahoo.com

University of California, Los Angeles, Los Angeles, California, United States

Christopher W D Milliner

christopher.milliner@jpl.nasa.gov

Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California, United States

Anoosh Shamsaabadi

anoosh.shamsabadi@dot.ca.gov

California Department of Transportation, Sacramento, California, United States

Tom Shantz

tom_shantz@dot.ca.gov

California Department of Transportation, Sacramento, California, United States

Andi Shen

shenandi@ucla.edu

University of California, Los Angeles, Los Angeles, California, United States

Stephen C Thompson

thompson@lettisci.com

Lettis Consultants International, Walnut Creek, California, United States

Robert R Youngs

bob.youngs@woodplc.com

John Wood Group PLC, Oakland, California, United States

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