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1 Memories of Prof. M. Shinozuka - Stochastic FEM, Lifelines, and Remote Sensing - Fumio Yamazaki Research Fellow, NIED, Japan. Professor Emeritus, Chiba University, Japan. October 7, 2020 APSSRA Shinozuka Memorial session

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  • 1

    Memories of Prof. M. Shinozuka- Stochastic FEM, Lifelines, and Remote Sensing -

    Fumio YamazakiResearch Fellow, NIED, Japan.

    Professor Emeritus, Chiba University, Japan.

    October 7, 2020

    APSSRA Shinozuka Memorial session

  • 2

    Year Prof. Masanobu Shinozuka Affiliation Research topics

    1930 1930.12.23 born in Tokyo

    1940

    1950 1953 BS, Kyoto University1955 MS, Kyoto University

    KyotoColumbia

    reliability theory

    1960 1960 PhD, Columbia University1969 Professor

    Columbia Monte Carlo simulation

    1970 Columbia system identification/control, stochastic dynamics

    19801988 Princeton University

    ColumbiaPrinceton

    lifelinestochastic FEM

    1990 1990 Director, NCEER1995 USC

    PrincetonUSC

    earthquake engineeringadvanced technologies (including remote sensing and GIS)

    2000 2001 UC Irvine USCUC Irvine

    risk managementmonitoring of infrastructures

    20102018

    2010. 12.23 80th Birthday2018. 11. 5 passed away

    Columbia

    History of Prof. M. Shinozuka

  • 3

    Title Citation YearA framework to quantitatively assess and enhance the seismic resilience of communities M Bruneau, SE Chang, RT Eguchi, GC Lee, TD O’Rourke, AM Reinhorn, ...Earthquake spectra 19 (4), 733-752

    2909 2003

    Digital simulation of random processes and its applications M Shinozuka, CM Jan Journal of sound and vibration 25 (1), 111-128 1845 1972

    Statistical analysis of fragility curves M Shinozuka, MQ Feng, J Lee, T Naganuma Journal of engineering mechanics 126 (12), 1224-1231 1299 2000

    Simulation of stochastic processes by spectral representation M Shinozuka, G Deodatis 1233 1991

    Simulation of multivariate and multidimensional random processes M Shinozuka The Journal of the Acoustical Society of America 49 (1B), 357-368 737 1971

    Basic analysis of structural safety M Shinozuka Journal of Structural Engineering 109 (3), 721-740 638 1983

    Monte Carlo solution of structural dynamics M Shinozuka Computers & Structures 2 (5-6), 855-874 618 1972

    Neumann expansion for stochastic finite element analysis F Yamazaki, M Shinozuka, G Dasgupta Journal of engineering mechanics 114 (8), 1335-1354 610 1988

    Measuring improvements in the disaster resilience of communities SE Chang, M Shinozuka Earthquake spectra 20 (3), 739-755 528 2004

    Nonlinear static procedure for fragility curve development M Shinozuka, MQ Feng, HK Kim, SH Kim Journal of engineering mechanics 126 (12), 1287-1295 477 2000

    Simulation of multi-dimensional Gaussian stochastic fields by spectral representation M Shinozuka, G Deodatis 451 1996

    Simulation of nonstationary random process M Shinozuka, Y Sato Journal of the Engineering Mechanics Division 93 (1), 11-40 429 1967

    The analysis of structural safety .AM Freudenthal, JM Garrelts, M Shinozuka Columbia Univ New York Inst For The Study Of Fatigue And Reliability 415 1964

    Digital generation of non-Gaussian stochastic fields F Yamazaki, M Shinozuka Journal of Engineering Mechanics 114 (7), 1183-1197 373 1988

    Random fields and stochastic finite elements E Vanmarcke, M Shinozuka, S Nakagiri, GI Schueller, M Grigoriu Structural safety 3 (3-4), 143-166 369 1986

    A vision-based system for remote sensing of bridge displacement JJ Lee, M Shinozuka Ndt & E International 39 (5), 425-431 354 2006

    Structural-system identification. I: Theory R Ghanem, M Shinozuka Journal of Engineering Mechanics 121 (2), 255-264 345 1995

    Response variability of stochastic finite element systems M Shinozuka, G Deodatis Journal of Engineering Mechanics 114 (3), 499-519 319 1988

    Real-time displacement measurement of a flexible bridge using digital image processing techniques JJ Lee, M Shinozuka Experimental mechanics 46 (1), 105-114

    276 2006

    Masanobu ShinozukaProfessor of Civil Engineering and Engineering Mechanics, Columbia UniversityContinuum mechanics,  stochastic processes,  structural dynamics and control,  earthquake and wind engineering

    Citation:   30,043h Index:            77i10  Index:      323  

    After Google Scholar

  • 4

    1984-1986 Columbia University

    1984/ 09/22 1986/ 08/01

    1984/ 10/05

    Picnic

    ASCE congress @San Francisco

    1984/ 10/06

  • 5

    1984-1986 My research work at Columbia UniversityYamazaki, F. and Shinozuka, M., Digital Simulation of Non-Gaussian Stochastic Fields, Journal of Engineering Mechanics, ASCE, Vol. 114, No. 7, 1988. Citation by SCOPUS: 229

    Google Scholar: 373

    2D PowerSpectral DensityFunction

    Simulated sample function

  • 6

    1984 - 1986 My Research work at Columbia University

    Yamazaki, F., Shinozuka, M., and Dasgupta, G., Neumann Expansion for Stochastic Finite Element Analysis, Journal of Engineering Mechanics, ASCE, Vol. 114, No. 8, 1988.

    Citation by SCOPUS: 389Google Scholar: 610

  • 7

    1st International Conference on Computational Stochastic Mechanics Celebration of Shono’s 60-years Birthday Corfu, Greece, 1991.8

  • 8February 1999, Taipei, Taiwan

  • 9

    #

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    $

    $

    $

    %

    River

    Sylmar

    Toluca

    Harbor

    Valley

    Tarzana

    Atwater

    Olympic

    Airport

    Fairfax

    Rinaldi

    Century

    Velasco

    HynessG

    HarborG

    CasticG

    Gramercy

    St. John

    Halldale

    Glendale

    Adelanto

    Hollywood

    Northridge

    Wilmington

    Victorvlle

    Scattergood

    ScattergoodG

    Santa Monica Bay

    LongBeach

    SealBeach

    Land.shpOcean.shp

    Area.shp12

    Line.shp

    Sub_station.shp# Receiving Station$ Generating Station(Thermal)% Power Plant(Hydro)

    Part of Western Systems CoordinatingCouncil’s (WSCC’s) network covering 14US western states, 2 Canadian provincesand northern part ofBaja California

    LADWP Service Areas

    0

    0.1

    0.2

    0.3

    0.4

    0.5

    0.6

    0.7

    0.8

    0.9

    1

    0 0.2 0.4 0.6 0.8 1 1.2 1.4

    PGA (g)Pr

    obab

    ility

    of F

    ailu

    re

    Case1Case2TriNetUSGS1247811

    78

    11

    Fragility Curves for Transformers

    Seismic Performance Analysis of Electric Power Systems

    M. ShinozukaUniversity of California, Irvine

    APEC Seminar on Earthquake Disaster Management of Energy Supply SystemsChinese Taipei September 5 and 6, 2001

    Lifeline and Prof. Shinozuka

  • 10

    Effect of earthquake ground motions on fragility curves of highway bridge piers based on numerical simulation

    Acceleration Time History

    I. Ground Motion II. Dynamic Response Analysis

    IV. Fragility Curves

    III. Damage CriteriaA. Damage Classification

    B. Damage Indices (DI)

    Restoring-Force RulesAnalytical Model

    u

    hdDI .

    0.0

    0.2

    0.4

    0.6

    0.8

    1.0

    0 200 400 600 800 1000

    PGA (cm/s2)

    Prob

    abilit

    y

    Park and Ang, 1985

    Karim and Yamazaki (2001) EESD

    0.0

    0.2

    0.4

    0.6

    0.8

    1.0

    0 50 100 150 200

    PGV (cm/s)Pr

    obab

    ility

    C

    BA

    As

    Fragility curves for a 1964 pier with respect to PGV

    hP=8.5 m

    W=5163 kN

    c c

    4 m

    hP=8.5 m

    W=5163 kN

    c c

    4 m

    Google Scholar: 248

  • 11

    Prof. Shinozuka visited E-Defense construction site in Miki, Hyogo, Japan 2000. 7.13Many US-Japan projects after 1994 Northridge and 1995 Kobe EQs

  • 12

    U.S.-Japan Cooperative Research in Urban Earthquake Disaster Mitigation15-16 August 2001, Seattle, Washington

    Many US-Japan projects after 1994 Northridge and 1995 Kobe EQs

  • USC-DRB building after introducing damage

    Resolution 2m by 2m

    USC-DRB & KAP buildings before introducing damage

    2003 1st Remote Sensing WS @UCI

    2000 MCEER-EDM Workshop@ Newport Beach

    SAR Simulation of Urban AreasShinozuka et al. 2000

    Remote Sensing and Prof. Shinozuka

    13

  • 14

    Extraction of Damage Areas in 1995 Kobe EQ using ERS/SAR

    Red: Very severe damage areaYellow: Severe damage areaDifference of Backscattering Coefficient [dB]

    Cor

    rela

    tion

    Coe

    ffici

    ent o

    f Int

    ensit

    y Im

    ages F iltering Window : 21 x 21

    Calculation Window : 13 x 13 95/05-94/10 95/05-94/06 95/05-93/08 95/05-92/11

    -3 -2 -1 0 1 2

    0

    0.5

    1

    Very severe damage area

    Severe damage area

    Difference of backscattering coefficient (1995/5/23 – 1994/6/3) Correlation coefficient

    r N IaiIbi Iai Ibi

    i1

    N

    i1

    N

    i1

    N

    N Iai2 Iai

    i1

    N

    2

    i1

    N

    N Ibi

    2 Ibii1

    N

    2

    i1

    N

    Matsuoka and Yamazaki (2004) EQS

    Google Scholar: 265

  • 15

    Keynote Speaker and Karaoke Singer

    3rd International Workshop on Remote Sensing for Post-Disaster Response

    September 12th, 2005 Chiba University, Japan

    Keynote Lecture by M. Shnozuka“Application of Remote Sensing Technology in Natural Hazard Assessment”

  • MULTIDISCIPLINARY CENTER FOR EARTHQUAKE ENGINEERING RESEARCH3rd International Workshop on Remote Sensing and Disaster Response, Chiba, Japan, September 12-13, 2005

    1. Post-disaster damage & situation assessment

    2. Field reconnaissance - damage data collection & visualization

    3. Building inventory for loss estimation

    Year 8 Accomplishments

    Lat Long, Dist, status, etc..Lat Long, Dist, status, etc..

    MCEER’s Remote Sensing Program Masanobu ShinozukaUniversity of California, Irvine

  • 17

    International Symposium on Stochastic Analyses for Risk Management (SARM2010)

    Tokyo Forum, December 23, 2010

    80th Birthday of Prof. Shinozuka

  • 18

    Emergence of Computational Stochastic SystemsResponse Monitoring for System Modeling and Calibration

    Masanobu ShinozukaUniversity of California, Irvine

    International Symposium on Stochastic Analysis for Risk Management (SARM 1 2010)Tokyo International Forum, Tokyo, Japan, December 23, 2010

    0 10 20 30 40 50 60 700

    0.51

    1.52

    2.53

    Time [sec]

    Dis

    plac

    emen

    t [m

    m]

    Displ. Transducer

    0 10 20 30 40 50 60 700

    0.51

    1.52

    2.53

    Time [sec]

    Dis

    plac

    emen

    t [m

    m]

    Laser Vibrometer

    0 10 20 30 40 50 60 700

    0.51

    1.52

    2.53

    Time [sec]

    Dis

    plac

    emen

    t [m

    m]

    Image Processing

    15 tons 30 tons 40 tons

    15 tons 30 tons 40 tons

    15 tons 30 tons 40 tons

    18

  • 19

    Jogawa Bridge(126.0m)

    1000

    m 1000

    m

    -20

    20

    -0.9

    0.9

    21. Oct. 201013. Mar. 2011

    Difference, d

    Correlation coefficient, r

    Orbit Dir. : Desc.Look Dir. : RightImaging Mode : StripMapPixel Res. : 1.25m/pixPolarization : HHProduct Level : EEC

    9x9 window 9x9 window

    Difference Correlation Coefficient

    Detection of collapsed bridges from TerraSAR-X images

    TSX data provided by PASCO Co.

    F. Yamazaki, K. Inoue, W. Liu (2016) SM & MS

  • 20

    Extraction of collapsed bridges based on the relationship between the difference and correlation coefficient from SAR images

    (a)

    F. Yamazaki, K. Inoue, W. Liu, Damage assessment of bridges using spatial characteristics of high-resolution satellite SAR intensity images, Stochastic Mechanics SM&MS 2016, vol. VI, No. 1, Capri, Italy, 2016.

    Correlation Coefficent

    Difference

    ‐0.2

    0.0

    0.2

    0.4

    0.6

    0.8

    1.0

    ‐14.0 ‐12.0 ‐10.0 ‐8.0 ‐6.0 ‐4.0 ‐2.0 0.0 2.0 4.0

    Correlation Co

    efficient,  r

    Diff. of the Backscattering Coefficients, d (dB)

    SurvivedCollapsed

    0.47

    F. Yamazaki, K. Inoue, W. Liu (2016) SM& MS

    Collapsed

    0.00

    0.10

    0.20

    0.30

    0.40

    0.50

    0.60

    0.70

    0.80

    0.90

    1.00

    ‐0.2‐0.1 0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0

    Cumulative Prob

    ability

    Correlation Coefficient,  r

    Collapsed

    Survived

    0.47

    (b)

  • 21

    Last Reunion with Prof. Shinozuka ICOSSAR 2013 @New York City

    21

  • 22

    Prof. Shinozuka:

    We appreciate all your supports to guide us to academia.

    You are my great mentor over 30 years.

    We pray your soul may rest in peace.