Introduction to Strong Motion Seismology. Norm Abrahamson Pacific Gas & Electric Company SSA/EERI Tutorial 4/21/06

Similar documents
RECORD OF REVISIONS. Page 2 of 17 GEO. DCPP.TR.14.06, Rev. 0

7 Ground Motion Models

GEM-PEER Global GMPEs Project Guidance for Including Near-Fault Effects in Ground Motion Prediction Models

Development of U. S. National Seismic Hazard Maps and Implementation in the International Building Code

VALIDATION AGAINST NGA EMPIRICAL MODEL OF SIMULATED MOTIONS FOR M7.8 RUPTURE OF SAN ANDREAS FAULT

NGA-Subduction: Development of the Largest Ground Motion Database for Subduction Events

Development of Ground Motion Time Histories for Seismic Design

SEISMIC HAZARD ANALYSIS. Instructional Material Complementing FEMA 451, Design Examples Seismic Hazard Analysis 5a - 1

Ground Motion Prediction Equations: Past, Present, and Future

Updated Graizer-Kalkan GMPEs (GK13) Southwestern U.S. Ground Motion Characterization SSHAC Level 3 Workshop 2 Berkeley, CA October 23, 2013

Hazard Feedback using the. current GMPEs for DCPP. Nick Gregor. PG&E DCPP SSHAC Study. SWUS GMC Workshop 2 October 22, 2013

Overview of Seismic PHSA Approaches with Emphasis on the Management of Uncertainties

ACCOUNTING FOR SITE EFFECTS IN PROBABILISTIC SEISMIC HAZARD ANALYSIS: OVERVIEW OF THE SCEC PHASE III REPORT

Seismic hazard modeling for Bulgaria D. Solakov, S. Simeonova

Non-Ergodic Probabilistic Seismic Hazard Analyses

DIRECT HAZARD ANALYSIS OF INELASTIC RESPONSE SPECTRA

Kenneth W. Campbell EQECAT, Inc. Beaverton, Oregon. Yousef Bozorgnia Pacific Earthquake Engineering Research Center University of California, Berkeley

An NGA Model for the Average Horizontal Component of Peak Ground Motion and Response Spectra

DCPP Seismic FAQ s Geosciences Department 08/04/2011 GM1) What magnitude earthquake is DCPP designed for?

Review of The Canterbury Earthquake Sequence and Implications. for Seismic Design Levels dated July 2011

Kenneth W. Campbell EQECAT, Inc. Beaverton, Oregon. Yousef Bozorgnia Pacific Earthquake Engineering Research Center University of California, Berkeley

NEXT GENERATION ATTENUATION (NGA) EMPIRICAL GROUND MOTION MODELS: CAN THEY BE USED IN EUROPE?

Comparison of NGA-West2 GMPEs

Updated NGA-West2 Ground Motion Prediction Equations for Active Tectonic Regions Worldwide

Updating the Chiou and YoungsNGAModel: Regionalization of Anelastic Attenuation

Ground-Motion Prediction Equations (GMPEs) from a Global Dataset: The PEER NGA Equations

2 Approaches To Developing Design Ground Motions

GMPEs for Active Crustal Regions: Applicability for Controlling Sources

Synthetic Near-Field Rock Motions in the New Madrid Seismic Zone

Recent Advances in Development of Ground Motion Prediction Equations

Beyond Sa GMRotI : Conversion to Sa Arb, Sa SN, and Sa MaxRot

Damping Scaling of Response Spectra for Shallow CCCCCCCCCrustalstallPaper Crustal Earthquakes in Active Tectonic Title Line Regions 1 e 2

Single-Station Phi Using NGA-West2 Data

Arthur Frankel, William Stephenson, David Carver, Jack Odum, Robert Williams, and Susan Rhea U.S. Geological Survey

Representative ground-motion ensembles for several major earthquake scenarios in New Zealand

Hybrid Empirical Ground-Motion Prediction Equations for Eastern North America Using NGA Models and Updated Seismological Parameters

The effect of bounds on magnitude, source-to-site distance and site condition in PSHA-based ground motion selection

Ground Motion Prediction Equation Hazard Sensitivity Results for Palo Verde Nuclear Generating Station Site (PVNGS)

PACIFIC EARTHQUAKE ENGINEERING RESEARCH CENTER

Eleventh U.S. National Conference on Earthquake Engineering Integrating Science, Engineering & Policy June 25-29, 2018 Los Angeles, California

PACIFIC EARTHQUAKE ENGINEERING RESEARCH CENTER. NGA-West2 Ground Motion Prediction Equations for Vertical Ground Motions

Deterministic Generation of Broadband Ground Motions! with Simulations of Dynamic Ruptures on Rough Faults! for Physics-Based Seismic Hazard Analysis

DEVELOPMENT OF DESIGN RESPONSE SPECTRAL SHAPES FOR CENTRAL AND EASTERN U.S. (CEUS) AND WESTERN U.S. (WUS) ROCK SITE CONDITIONS*

Seismic Issues for California's Nuclear Power Plants. Norman Abrahamson University of California, Berkeley

2C09 Design for seismic and climate changes

STUDYING THE IMPORTANT PARAMETERS IN EARTHQUAKE SIMULATION BASED ON STOCHASTIC FINITE FAULT MODELING

EFFECTS OF RUPTURE DIRECTIVITY ON PROBABILISTIC SEISMIC HAZARD ANALYSIS. Norman A. Abrahamson 1

Hybrid Empirical Ground-Motion Prediction Equations for Eastern North America Using NGA Models and Updated Seismological Parameters

CAMPBELL-BOZORGNIA NEXT GENERATION ATTENUATION (NGA) RELATIONS FOR PGA, PGV AND SPECTRAL ACCELERATION: A PROGRESS REPORT

PACIFIC EARTHQUAKE ENGINEERING RESEARCH CENTER

Geo-Marine Letters Volume 36, 2016, electronic supplementary material

Modifications to Risk-Targeted Seismic Design Maps for Subduction and Near-Fault Hazards

Vertical to Horizontal (V/H) Ratios for Large Megathrust Subduction Zone Earthquakes

UPDATE OF THE PROBABILISTIC SEISMIC HAZARD ANALYSIS AND DEVELOPMENT OF SEISMIC DESIGN GROUND MOTIONS AT THE LOS ALAMOS NATIONAL LABORATORY

The Ranges of Uncertainty among the Use of NGA-West1 and NGA-West 2 Ground Motion Prediction Equations

Outstanding Problems. APOSTOLOS S. PAPAGEORGIOU University of Patras

CHARACTERIZATION OF DIRECTIVITY EFFECTS OBSERVED DURING 1999 CHI-CHI, TAIWAN EARTHQUAKE

GROUND MOTION TIME HISTORIES FOR THE VAN NUYS BUILDING

Next Generation Attenuation (NGA) Projects

Selection of Ground Motion Records for Two Dam Sites in Oregon

Simulation-based Seismic Hazard Analysis Using CyberShake

Development of Probabilistic Seismic Hazard Analysis for International Sites, Challenges and Guidelines

Project 17 Development of Next-Generation Seismic Design Value Maps

ATTENUATION FUNCTION RELATIONSHIP OF SUBDUCTION MECHANISM AND FAR FIELD EARTHQUAKE

Occurrence of negative epsilon in seismic hazard analysis deaggregation, and its impact on target spectra computation

THE RESPONSE SPECTRUM

PACIFIC EARTHQUAKE ENGINEERING RESEARCH CENTER

Estimation of Strong Ground Motion: Aleatory Variability and Epistemic Uncertainty

Treatment of Epistemic Uncertainty in PSHA Results

Comparisons of Ground Motions from the 1999 Chi-Chi Earthquake with Empirical Predictions Largely Based on Data from California

Summary of the Abrahamson & Silva NGA Ground-Motion Relations

Directivity in NGA Earthquake Ground Motions: Analysis Using Isochrone Theory

Usability of the Next Generation Attenuation Equations for Seismic Hazard Assessment in Malaysia

Near-Source Ground Motion along Strike-Slip Faults: Insights into Magnitude Saturation of PGV and PGA

Directivity of near-fault ground motion generated by thrust-fault earthquake: a case study of the 1999 M w 7.6 Chi-Chi earthquake

CHARACTERIZATION OF EARTHQUAKE SHAKING EFFECTS

PACIFIC EARTHQUAKE ENGINEERING RESEARCH CENTER

Actual practices of seismic strong motion estimation at NPP sites

Site specific seismic hazard assessment a case study of Guanyin offshore wind farm 場址特定地震危害度評估 - 以觀音離岸風力發電廠為例

EARTHQUAKE CLUSTERS, SMALL EARTHQUAKES

Non-Ergodic Site Response in Seismic Hazard Analysis

Comparisons of ground motions from the M 9 Tohoku earthquake with ground-motion prediction equations for subduction interface earthquakes

Seismic Hazard Epistemic Uncertainty in the San Francisco Bay Area and its Role in Performance-Based Assessment

Modelling Strong Ground Motions for Subduction Events in the Wellington Region, New Zealand

GROUND MOTION TIME HISTORIES FOR THE VAN NUYS BUILDING

Scenario Earthquakes for Korean Nuclear Power Plant Site Considering Active Faults

Modular Filter-based Approach to Ground Motion Attenuation Modeling

SELECTION OF GROUND-MOTION PREDICTION EQUATIONS FOR PROBABILISTIC SEISMIC HAZARD ANALYSIS : CASE STUDY OF TAIWAN

PACIFIC EARTHQUAKE ENGINEERING RESEARCH CENTER

(Seismological Research Letters, July/August 2005, Vol.76 (4): )

Maximum Direction to Geometric Mean Spectral Response Ratios using the Relevance Vector Machine

Tom Shantz, Division of Research and Innovation Martha Merriam, Geotechnical Services. July 2009

Bulletin of the Seismological Society of America, Vol. 94, No. 6, pp , December 2004

Spatial Cross-correlation Models for Vector Intensity Measures (PGA, Ia, PGV and Sa s) Considering Regional Site Conditions

Site-specific hazard analysis for geotechnical design in New Zealand

EARTHQUAKE HAZARD ASSESSMENT IN KAZAKHSTAN

SIGNAL PROCESSING AND PROBABILISTIC SEISMIC HAZARD ANALYSIS TOOLS FOR CHARACTERIZING THE IMPACT OF NEAR-FAULT DIRECTIVITY

Ground-Motion Attenuation Relationships for Subduction- Zone Earthquakes in Northern Taiwan

Incorporating simulated Hikurangi subduction interface spectra into probabilistic hazard calculations for Wellington

PACIFIC EARTHQUAKE ENGINEERING RESEARCH CENTER

Transcription:

Introduction to Strong Motion Seismology Norm Abrahamson Pacific Gas & Electric Company SSA/EERI Tutorial 4/21/06

Probabilistic Methods

Deterministic Approach Select a small number of individual earthquake scenarios: M,R(Location) pairs Compute the ground motion for each scenario (typically use ground motion with 50% or 16% chance of being exceeded if the selected scenario earthquake occurs Select the largest ground motion from any of the scenarios

Probabilistic Approach Source Characterization Develop a comprehensive set of possible scenario earthquakes: M, R(location) Specify the rate at which each scenario earthquake (M,R) occurs Ground Motion Characterization Develop a full range of possible ground motions for each earthquake scenario (ε=number of std dev above or below the median) Specify the probability of each ground motion for each scenario

Probabilistic Approach (cont) Hazard Calculation Rank scenarios (M,R, ε) in order of decreasing severity of shaking (Here, use Sa) Result: Table of ranked scenarios with ground motions and rates Sum up rates of scenarios with ground motion above a specified level (hazard curve) Select a ground motion for the design hazard level Back off from worst case ground motion until either: The ground motion is does not lead to excessive costs, or The hazard level is not too small (e.g. not too rare) to ignore (e.g. the design hazard level)

PSHA Calculation Standard form of hazard nsource v(sa > z) = N i (M min ) f mi (M) f Ri (r, M) P(Sa > z m,r) dr dm i =1 M R Alternative form (explicit ground motion aleatory variability) nsource v(sa > z) = N i (M min ) i =1 M f mi (M) f Ri (r,m) f ε (ε)p(sa > z m,r,ε) dεdr dm Rε

* Example Sources source 1 source 2 source 3

Example Source Characterization 1 Source 1 0.1 Source 2 Source 3 0.01 Cumulative Rate M or Larger 0.001 0.0001 0.00001 5 5.5 6 6.5 7 7.5 Magnitude

Median Ground Motion 10 1 0.1 5 Hz Spectral Acc (g) 0.01 M=5 M=6 M=7 1 10 100 0.001 Distance (km)

Standard Deviation of Ground Motion 0.8 0.7 0.6 0.5 0.4 0.3 Standard Deviation (LN Units) 0.2 0.1 5 Hz 5 5.5 6 6.5 7 7.5 8 0 Magnitude

Partial List of Scenarios Source Mag R (km) Rate of Sa Median Sa Std Dev ε P(e) Sa(g) Rate 1 6.50 2 0.00022 1.38 0.53 0.5 0.175 1.80 0.000038 1 6.50 2 0.00022 1.38 0.53-0.5 0.175 1.06 0.000038 1 5.00 2 0.00180 0.58 0.73 0.0 0.197 0.58 0.000355 1 5.00 10 0.00180 0.24 0.73 1.0 0.121 0.49 0.000218 2 5.50 40 0.02216 0.07 0.66 1.5 0.066 0.18 0.001453 2 6.00 40 0.00786 0.10 0.59 1.5 0.066 0.25 0.000516 2 6.50 40 0.00279 0.16 0.52 1.5 0.066 0.35 0.000183 3 7.25 60 0.00170 0.19 0.42 2.0 0.028 0.44 0.000047 3 7.25 60 0.00170 0.19 0.42 1.0 0.121 0.29 0.000206 3 7.25 60 0.00170 0.19 0.42 0.0 0.197 0.19 0.000336

Rank Scenarios by Ground Motion Source Mag R (km) ε Sa(g) Rate Hazard 1 6.50 2 0.5 1.80 0.000038 0.000038 1 6.50 2-0.5 1.06 0.000038 0.000076 1 5.00 10 0.0 0.58 0.000355 0.000432 3 7.25 60 1.0 0.49 0.000218 0.000649 2 6.50 40 1.5 0.44 0.000047 0.000697 3 7.25 60 1.5 0.35 0.000183 0.000880 1 5.00 2 1.5 0.29 0.000206 0.001085 2 6.00 40 2.0 0.25 0.000516 0.001601 3 7.25 60 1.0 0.19 0.000336 0.001937 2 5.50 40 0.0 0.18 0.001453 0.003390

0.01 0.001 0.0001 Hazard Curve 0 0.5 1 1.5 2 0.00001 Spectral Acceleration (g) Annual Probability of Being Exceeded

Deaggregation at 10-3 Hazard Source Mag R (km) ε Sa(g) Rate Hazard Deagg 1 6.50 2 0.5 1.80 0.000038 0.000038 0.035 1 6.50 2-0.5 1.06 0.000038 0.000076 0.035 1 5.00 10 0.0 0.58 0.000355 0.000432 0.327 3 7.25 60 1.0 0.49 0.000218 0.000649 0.201 2 6.50 40 1.5 0.44 0.000047 0.000697 0.044 3 7.25 60 1.5 0.35 0.000183 0.000880 0.169 1 5.00 2 1.5 0.29 0.000206 0.001085 0.190 2 6.00 40 2.0 0.25 0.000516 0.001601 3 7.25 60 1.0 0.19 0.000336 0.001937 2 5.50 40 0.0 0.18 0.001453 0.003390

Group Similar Scenarios for Deaggregation Plots

Aleatory Variability and Epistemic Uncertainty Scientific Uncertainty (epistemic) Due to lack of information Incorporated in PSHA using logic trees (leads to alternative hazard curves) Impacts the mean hazard Random Variability (aleatory) Randomness in M, location, ground motion (ε) Incorporated in hazard calculation directly

Epistemic Uncertainty Due to lack of data Sparse data implies large uncertainty In practice, not always the case Estimated using alternative available models/data Few available studies leads to small uncertainty (few alternatives available) Many available studies leads to larger uncertainty (more alternatives available)

Common Misunderstandings in PSHA PSHA combines ground motions from different earthquakes No, PSHA ranks ground motions from different earthquakes, it does not combine ground motions UHS does combine ground motions, but not required in PHSA PSHA combines the chance of getting a specified level of ground motion from different earthquakes - There is more than one earthquake that can lead to a specified ground motion at the site PSHA does not give earthquake scenarios Deaggregation provides descriptions of scenarios

Example Hazard

Background Rate

Fault Sources Mean Characteristic Magnitude M = log(fault area) + 4 Usually balance moment-rate on fault M o (M) = 10 1.5M+16.05 Moment-rate = µas µ = shear modulus (3E11 dyne/cm 2 ) A = fault area in cm 2 S = slip-rate in cm/yr Eqk rate= Moment Rate Moment / Eqk

PGA Hazard 3000 yr return period PGA = 0.24g

T=1 sec Hazard 3000 yr return period Sa(T=1) = 0.22g

0.6 Uniform Hazard Spectrum UHS - 3000 years 0.5 Spectral Accleration (g) 0.4 0.3 0.2 0.1 0 0.01 0.1 1 10 Period (sec)

Deaggregation for PGA=0.24g

Deaggregation for Sa(T=1)=0.22g

Controlling Scenarios For 3000 years: PGA: M=6.0, R=15 km Sa(T=1): M=8.0, R=160 km

0.6 UHS Scenarios UHS - 3000 years 0.5 M6, R=15 km M8, R-160 km Spectral Accleration (g) 0.4 0.3 0.2 0.1 0 0.01 0.1 1 10 Period (sec)

UHS Hazard reports should provide spectra for scenarios that control the UHS UHS envelopes the alternative scenarios used to reduce engineering analysis costs by reducing number of scenarios to consider, it is not required in PSHA Decision to use UHS or individual scenarios should be made by engineers involved in the analysis of structure, not by hazard analyst

Rate of Occurrence Hazard curve gives rate of exceeding a ground motion Hazard reports should also provide a table with the rate of occurrence: ν(a 1 >Sa>a 2 ) = Haz(a 1 ) - Haz(a 2 )

Rate of Occurrence - by Mag-Dist-GM Rate of Occurrence for a specific magnitude, distance and ground motion range is given by: v(m 1 < M < M 2, R 1 < R < R 2, A 1,Sa < A 2 )= Haz(A 1 )Deag(M 1 < M < M 2, R 1 < R < R 2, A 1 ) Haz(A 2 )Deag(M 1 < M < M 2, R 1 < R < R 2, A 2 ) This provides information needed for risk calculations

Ground Motion Prediction Equations (Attenuation Relationships)

Ground Motion Regions Three main tectonic categories Shallow crustal earthquakes in active tectonic regions Shallow crustal earthquakes in stable continental regions Subduction earthquakes Interface Intraslab

Ground Motion Models Shallow crustal earthquakes in stable continental regions Subduction earthquakes Interface Intraslab

Ground Motion Models Shallow Crustal in Active Regions Primarily empirically based models Shallow Crustal in Stable Continental Regions Seismological simulations Point source stochastic model Subduction Primarily empirically based models Some simulations for very large magnitudes (M9)

Example of Tectonic Differences 10 1 Spectral Acceleration (g) 0.1 Shallow Crustal - M5.5, R=10 (A&S97) Shallow Crustal - M6.5, R=10 (A&S97) Shallow Crustal - M7.5, R=10 (A&S97) Stable Continental - M5.5, R10 (A&B 97) 0.01 Stable Continental - M6.5, R10 (A&B 97) Stable Continental - M7.5, R10 (A&B 97) Subduction - M5.5 R10 (Youngs et al 97) Subduction - M6.5 R10 (Youngs et al 97) Subduction - M7.5 R10 (Youngs et al 97) 0.001 0.01 0.1 1 10 Period (sec)

Numerical Simulations Separate Effects Source Path Site Low frequencies (f < 1 Hz) Theoretical seismological models work well High frequencies (f>1 Hz) A stochastic or empirical element is required

Point Source Stochastic Model Source Parameters M σ Path Parameters Moment magnitude Stress-drop N Geometical spreading coefficient Q(f)Anelastic attenuation along ray path Site Parameters κ Accounts for damping in shallow rock A(f)Amplification factor for the impedance contrast from source to site

Source Parameters Moment Magnitude Measures total energy in earthquake Stress-drop Measures the compactness of the source in space and/or time High stress-drop leads to larger high frequency ground motions

Path Parameters R N exp πfr V s Q( f ) Geometrical Spreading (N) Describes distance attenuation from a point source Q In practice, Q accounts for all source of attenuation not modeled by the geometrical speading Q model must be consistent with geometrical spreading model

(rock) Site Parameters A( f )exp πκf ( ) A(f) Accounts for amplification due to impedance contrast in crust Kappa Accounts for attenuation of the high frequency (related to material damping in the shallow crustal rock) In practice, accounts for high frequency differences between point source model and observations May be due to source effects as well as site effects Same effect also modeled by f max

Shallow Crustal Earthquakes in Active Tectonic Regions Empirically Based Models Summary of models in 1997 Seismological Research Letters Abrahamson & Silva (1997) Boore et al (1997) Campbell (1997) Updated model by Campbell and Bozorgnia (2002) Sadigh et al (1997) Spudich et al (1997) - for extensional regimes Other Models commonly used Idriss (1994)

Different Parameters Used Model Distance Site Style-offaulting Other Param A&S Rrup Rock Soil SS, RV/OBL, RV HW BJF RJB VS30 SS, RV Campbell Rseis Hard-rock Soft-rock SS RV+RV/OBL Depth to basement rock Soil Idriss Rrup Rock Soil SS, RV/OBL, RV Sadigh Rrup Rock Deep Soil SS, RV/OBL, RV

Comparison of Median Sa 0.7 M=6.5, R rup =10 km, SS, Soil 0.6 0.5 Spectral Acceleration (g) 0.4 0.3 0.2 0.1 Sadigh et al. 1997 Campbell 1997 BJF 97 Abr&Silva 97 0 0.01 0.1 1 10 Period (sec)

Comparison of Median Sa M=6.5, R rup =10 km, Soft-Rock, SS 0.8 0.7 0.6 Sadigh et al. 1997 Campbell 1997 BJF 97 Abr&Silva 97 Spectral Acceleration (g) 0.5 0.4 0.3 0.2 0.1 0 0.01 0.1 1 10 Period (sec)

Comparison of Median Sa M=5.5, R rup =10 km, Soft-Rock, SS 0.4 0.35 0.3 Sadigh et al. 1997 Campbell 1997 BJF 97 Abr&Silva 97 Spectral Acceleration (g) 0.25 0.2 0.15 0.1 0.05 0 0.01 0.1 1 10 Period (sec)

Comparison of Median Sa M=7.5, R rup =10 km, Soft-Rock, SS 1.2 Sadigh et al. 1997 1 Campbell 1997 BJF 97 Abr&Silva 97 Spectral Acceleration (g) 0.8 0.6 0.4 0.2 0 0.01 0.1 1 10 Period (sec)

Comparison of Median Sa M=8.0, R rup =10 km, Soft-Rock, SS 1.2 Sadigh et al. 1997 1 Campbell 1997 BJF 97 (extrapolated) Abr&Silva 97 Spectral Acceleration (g) 0.8 0.6 0.4 0.2 0 0.01 0.1 1 10 Period (sec)

2004 Parkfield Attenuation Comparison with A&S 97

Next Generation Attenuation (NGA) Project Joint Project PEER/Lifelines Program PEER Caltrans CEC PG&E SCEC USGS

NGA Project NGA-E (empirical) New ground motion models based primarily on empirical data Use analytical models (seismological and geotechnical) to guide extrapolation outside of empirical data Results used only in terms of scaling NGA-H (hybrid) New ground motion models based on both empirical data and numerically simulated data Uses the values of the ground motion from the simulations, not just scaling

NGA-E Project Ground motion models for crustal earthquakes in California Must be applicable to all design cases in California (excludes subduction) Ground Motion Parameters: Horizontal components (Ave Horiz, FN, and FP) PGA, PGV, PGD Pseudo spectral acc at 5% damping: 0-10 sec Applicable Magnitude Range: 5.0-8.5 (SS) 5.0-8.0 (RV) Applicable Distance Range: 0-200 km Fault Types Strike-slip, Reverse, Normal

Ground Motion Model Developers Abrahamson & Silva Boore and Atkinson Campbell & Bozorgnia Chiou & Youngs Idriss

Empirical Data Set Common data set provided to developers 175 earthquakes 3548 recordings Each developer selects applicable subset of data Justify the exclusion of earthquakes and recording sites Document any modification of independent parameters from PEER recommended values Ground motion values are not modified (e.g. common set used by all developers), but developers select applicable period range of each recording

Developer Scope Evaluate new predictive parameters Directivity parameters Hanging wall / foot wall Static stress-drop Asperity depth Depth to rock (Vs 1.0, 1.5, or 2.0 km/s) Basin parameters Each developer decides if new predictive parameter is to be included in their model Justify the selection or rejection of each parameter evaluated

Independent Parameters Magnitude definition All developers use moment magnitude Distance definition Developers select appropriate distance metric Site classification Developers select site classification Clear definition of site classes Provide a translation scheme to NERHP categories

Supporting Simulations 1-D Rock simulations 3-D basin simulations Isochron simulations Site amplification calculations

1-D Rock simulations Simulations by three groups Zeng URS Pacific Engineering Simulations can be used for: Magnitude scaling above M7 Distance scaling 0-15 km and 70-200 km Period extrapolation to 10 seconds Directivity scaling Hanging wall footwall scaling Asperity depth (shallow vs buried slip) Stress-drop scaling

Empirical Models, Pre-1995 Shallow Crustal Earthquakes in Active Regions Magnitude 8 7.5 7 6.5 6 5.5 Main basis for current models Few data from M>7, Dist<20 km Extrapolation of scaling for M6-7 up to M8 5 4.5 4 0.1 1 10 100 200 Rupture Distance (km)

Recent Large Magnitude Earthquakes with Ground Motion Data 1999 Kocaeli, Turkey (M7.5) 1999 Chi-Chi, Taiwan (M7.6) 1999 Duzce, Turkey (M7.1) 1999 Hector Mine, CA (M7.1) 2002 Denali, Alaska (M7.9)

Empirical Models, Pre-1995 Shallow Crustal Earthquakes in Active Regions Magnitude 8 7.5 7 6.5 6 5.5 5 Basis for new models Additional data for M>7, Dist<20 km mainly foreign 4.5 4 0.1 1 10 100 200 Rupture Distance (km)

Recordings Close to Large Earthquakes M 7.0 M 7.0 M 7.0 D 20 km D 10 km D 5 km Prior to 1999 11 4 2 1999 Kocaeli 6 3 2 1999 Chi- Chi 63 32 14 1999 Duzce 6 2 1 1999 Hector Mine 1 0 0 2002 Denali 1 1 1

Mean Residual (LN Units) 1.5 1 0.5 0-0.5-1 Comparison of New Data with Current Ground Motion Models -1.5 0.01 0.1 1 10 Period (Sec) Chi-Chi (D<20 km) Kocaeli (D<20) Duzce (D<20) Close-in data are overpredicted by current models Denali & Hector Mine have just one recordings < 20 km

Comparison of New Data with Current Ground Motion Models 1.6 Denali 0.9 Hector Mine Spectral Acceleration (g) 1.4 1.2 1 0.8 0.6 0.4 PS10 A&S (1997) Spectral Acceleration (g) 0.8 0.7 0.6 0.5 0.4 0.3 0.2 Hector A&S (1997) 0.2 0.1 0 0.010 0.100 1.000 10.000 Period (sec) 0 0.010 0.100 1.000 10.000 Period (sec)

Issues for Ground Motion Data from Recent Large Earthquakes Are the data from these non-california earthquakes applicable to California? Regional differences in stress-drop, crustal structure? Were these earthquakes just randomly weaker? With large variability, will future earthquakes have higher ground motions? Are the recorded data representative of the overall shaking? Were the locations of ground motion recorders biased to lower than average ground motions?

NGA Project Develop new ground motion attenuation relations for shallow crustal earthquakes in active regions Sponsors PEER, Caltrans, PG&E, Calif Energy Commission Partners SCEC, USGS, CGS Multiple ground motion model developer teams Abrahamson & Silva Boore and Atkinson Campbell and Bozorgnia Chiou and Youngs Idriss

Site Classification for NGA Project Major effort to estimate V S30 for strong motion sites Studies to measure V S30 Correlation of V S30 with surface geology Allows the NGA models to use V S30 rather than generic soil categories

Peak Acceleration (g) 1 0.1 Example NGA Result M8, PGA, SS, rock A&S (1997) Rock, PGA A&S NGA Vs=760 m/s, PGA 12% reduction due to Vs30 differences (760 m/s vs generic rock) 0.01 1 10 100 Rupture Distance (km)

Peak Acceleration (g) 1 0.1 Example NGA Result M8, T=1 sec, SS, rock A&S (1997) Rock T=1 A&S NGA Vs=760 m/s, T=1 25% reduction due to Vs30 differences (760 m/s vs generic rock) 0.01 1 10 100 Rupture Distance (km)

Example NGA Variability M8, R10, SS, Rock, T=1 sec Probability Density (1/ln(g)) 0.8 0.7 0.6 0.5 0.4 0.3 0.2 0.1 A&S (1997) sigma=0.59 A&S NGA, sigma = 0.67 0 0.01 0.1 1 10 Spectral Acceleration (g) NGA models have larger variability for M8 This offsets some of the effect of reduction in median

What about 2004 Parkfield (M6)? Very high ground motions observed Several PGA>1g Most are much smaller

Parkfield PGA 1 PGA (g) 0.1 AVERAGE H A&S NGA (VS30=400 m/s) 84th percentile Parkfield PGA values are consistent with NGA models Median Standard deviation 16th percentile 0.01 0.1 1 10 100 Rupture Distance (km)

Characteristics of Rock Motions Including Near-Fault Effects

Near Fault Effects Directivity Related to the direction of the rupture front Forward directivity: rupture toward the site (site away from the epicenter) Backward directivity: rupture away from the site (site near the epicenter) Fling Related to the permanent tectonic deformation at the site

Velocity Pulses Forward Directivity Two-sided velocity pulse due to constructive interference of SH waves from generated from parts of the rupture located between the site and epicenter Constructive interference occurs if slip direction is aligned with the rupture direction Occurs at sites located close to the fault but away from the epicenter for strike-slip Fling One-sided velocity pulse due to tectonic deformation Occurs at sites located near the fault rupture independent of the epicenter location

Observations of Directivity and Fling Sense of Slip Directivity Fling Strike-Slip Fault Normal Fault Parallel Dip-Slip Fault Normal Fault Normal

Example of Near-Fault Effects (Kocaeli Earthquake) Acc (g) 0.3 0.2 0.1 0-0.1-0.2-0.3 YPT EW YPT NS -0.4 5 10 15 20 25 30 35 100 Vel (cm/s) -100 0 300 YPT EW YPT NS 5 10 15 20 25 30 35 200 Dis (cm) 100-100 0 YPT EW YPT NS 5 10 15 20 25 30 35 Time (sec)

Directivity Effects (Somerville et al, 1997) Two Effects on Ground Motion Amplitudes Changes in the average horizontal component as compared to standard attenuation relations Increase in the amplitude of long period ground motion for rupture toward the site Decrease in the amplitude of long period ground motion for rupture away from the site Systematic differences in the ground motions on the two horizontal components Fault normal component is larger than the fault parallel component at long periods

Directivity

Model for Directivity Effects Additional Parameters Required Strike-Slip Fault X = fraction of fault rupture between the epicenter and the site θ = angle between the fault strike and the epicentral direction from the site

Directivity Parameters for Strike-Slip Faults

Abrahamson (2000) Directivity Factors 5% damping, Ave Horiz, Strike-Slip 1.8 1.6 1.4 1.2 1 Scale Factor 0.8 0.6 X Cos(theta) = 0 X Cos(theta) = 0.1 X cos(theta) = 0.2 0.4 X cos(theta) = 0.3 0.2 X Cos(theta) >= 0.4 0 0.01 0.1 1 10 Period (sec)

Somerville et al (1997) Scale Factors for FN/Ave Horiz 1.5 1.4 1.3 1.2 1.1 Scale Factor 1 0.9 0.8 0.7 0.6 theta = 0 theta = 15 theta = 30 theta = 45 0.5 0.1 1 10 Period (sec)

Kocaeli Rupture and Strong Motion Stations

IZT (near epicenter) 0.25 Acc (g) 0 IZT NS IZT EW -0.25 0 5 10 15 20 25 30 35 50 Vel (cm/s) 0 IZT NS IZT EW -50 0 5 10 15 20 25 30 35 30 Dis (cm) -30 0 IZT NS IZT EW 0 5 10 15 20 25 30 35 Time (sec)

10 IZT (near epicenter) IZT-NS IZT-EW 1 Spectral Acceleration (g) 0.1 0.01 0.001 0.01 0.1 1 10 Period (sec)

ARC (off end of fault, down strike from epicenter) 0.25 Acc (g) 0 ARC EW ARC NS -0.25 5 10 15 20 25 30 35 50 Vel (cm/s) 0 ARC EW ARC NS -50 5 10 15 20 25 30 35 60 30 Dis (cm) -30-60 0 ARC EW ARC NS 5 10 15 20 25 30 35 Time (sec)

ARC (off end of fault, down strike from epicenter) 1 ARC-NS ARC-EW 0.1 Spectral Acceleration (g) 0.01 0.001 0.01 0.1 1 10 Period (sec)

Acc (g) YPT (near fault, down strike from epicenter) 0.3 0.2 0.1 0-0.1 YPT EW -0.2-0.3 YPT NS -0.4 5 10 15 20 25 30 35 100 Vel (cm/s) -100 0 300 YPT EW YPT NS 5 10 15 20 25 30 35 200 Dis (cm) 100-100 0 YPT EW YPT NS 5 10 15 20 25 30 35 Time (sec)

Strong Motion Stations from the Chi-Chi Earthquake 24.5 TCU087 TCU068 TCU102 TCU101 TCU052 TCU049 24 TCU067 TCU065 TCU072 TCU075 TCU071 TCU074 TCU076 TCU129 TCU089 TCU084 TCU078 CHY028

Chi-Chi Earthquake SS N

Fling Effects Acc (g) 0.4 0.3 0.2 0.1 0-0.1-0.2-0.3 TCU 049 E TCO052 E -0.4 15 20 25 30 35 40 45 50 55 60 100 Vel (cm/s) -100 0 TCU 049 E TCO052 E -200 200 15 20 25 30 35 40 45 50 55 60 0 Dis (cm) -200-400 TCU 049 E TCO052 E -600 15 20 25 30 35 40 45 50 55 60 Time (sec)

Time Domain Fling Model 0.1 Acc(g) 0-0.1 80 0 2 4 6 8 10 12 Time (sec) Vel (cm/s) 40 0-40 -80 0 2 4 6 8 10 12 Time (sec) 150 Disp (cm) 0-150 0 2 4 6 8 10 12 Time (sec)

Separation of Fling and Wave Propagation Effects 0.5 Acc (g) 0.25 0 fling TCU052E -0.25 30 35 40 45 50 55 60 Vel (cm/s) 100 50 0-50 -100-150 -200 fling TCU052E 30 35 40 45 50 55 60 100 Dis (cm) 0-100 -200-300 fling TCU052E -400-500 30 35 40 45 50 55 60 Time (sec)

Parameters Required for Fling Amplitude of Fling From fault slip and geodetic data Duration (period) of Fling From strong motion data Arrival Time of Fling From numerical modeling Relative timing of fling and S-waves

Fault Displacement 1000 100 Fault Displacement (cm) Median 84th Percentile 16th Percentile 6 6.5 7 7.5 8 10 Magnitude

Attenuation of Fling Amplitude Example from Kocaeli Geodetic Data 1000 100 Tectonic Displacement (cm) 10 1999 Kocaeli model 1 1 10 100 Distance (km)

Attenuation of Fling Amplitude

Duration of Fling Measured from Strong Motion Recordings (SKR from Kocaeli) 250 200 150 Disp (cm) 100 50 0 T 1-50 25 30 35 40 45 50 55 60 Time (sec)

Fling Period 150 100 Displacment (cm) 50 Fling Model (Tfling=1 sec) Straight Line Fit 0 0 0.2 0.4 0.6 0.8 1 Time (sec)

Model for Duration of Fling (slope fixed by assuming median slip-velocity is independent of magnitude)

Summary of Near Fault Effects from Recent Earthquakes Near fault ground motions can have large velocity pulses caused by directivity and/or fling Forward Directivity Effects Observed in Kocaeli and Denali earthquakes Consistent with previously derived models Not observed in Chi-Chi earthquake due to shallow depth of hypocenter Fling Observed in Kocaeli, Chi-Chi, and Denali

Near Fault Effects Current scaling relations for directivity effects are consistent with data from new earthquakes Current attenuation relations do not include fling Fling effects scale differently with magnitude and distance than ground motion due to wave propagation A separate ground motion model is needed for the fling, which then needed to be combined with the ground motion due to wave propagation

Example Application: DCPP Design Earthquake M=7.25 Distance = 4.5 km Strike-Slip Mechanism

Directivity Parameters Epicenter assumed to be located at end of Hosgri fault (maximum directivity effect) X = 70 km / 110 km = 0.64 θ = 3 degrees X cos(θ) = 0.64

Directivity Effects on the Average Horizontal Component 1.8 1.6 Scale factor from Model 1.4 Extrapolation 1.2 1 Scalce Factor 0.8 0.6 0.4 0.2 0.01 0.1 1 10 0 Period (sec)

Directivity Effects on FN/Ave and FP/Ave 1.6 1.4 1.2 1 0.8 Scalce Factor 0.6 0.4 FN / AVE FP / AVE 0.2 0.01 0.1 1 10 0 Period (sec)

Combined Directivity Effects 2.5 Total FN directivity factor (from model) 2 Total FP directivity factor Total FN directivity factor used 1.5 Scalce Factor 1 0.5 0.01 0.1 1 10 0 Period (sec)

Fling Use 84th Percentile Two parameters: Displacement at site, Fling period Use 84th percentile displacement, Use fling period to give 84th percentile acceleration Fling Displacement Median slip on fault = 233 cm Median disp at site = 59 cm 84th percentile disp at site = 115 cm Fling Period 3.2 sec (84th percentile acc = 0.072g)

Issues for Combining Fling and Vibratory Ground Motion What is the timing between fling and S-waves? For sites close to the fault, fling arrives near the S-wave Polarity of fling and S-waves? For design ground motions, require constructive interference of velocity

Example Timing of Fling 0.9 Acc(g) 0-0.9 150 0 5 10 15 20 25 30 35 40 Time (sec) Vel (cm/s) 0-150 0 5 10 15 20 25 30 35 40 Time (sec) 150 Disp (cm) 0-150 0 5 10 15 20 25 30 35 40 Time (sec)

Ground Motion with Fling QGa 0.9 Acc(g) 0-0.9 200 0 5 10 15 20 25 30 35 40 Time (sec) Vel (cm/s) 0-200 200 0 5 10 15 20 25 30 35 40 Time (sec) Disp (cm) 0-200 0 5 10 15 20 25 30 35 40 Time (sec)

Average Spectrum Including Fling 2.5 2 1.5 Spectral Acceleration (g) 1 0.5 Average without Directivity Average with Fling 0 0.01 0.1 1 10 Period (sec)