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      목표스펙트럼의 평균과 분산을 고려하기 위한 시뮬레이션 기반의 효율적인 지반운동기록 선정 알고리즘

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      다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

      Linear and nonlinear dynamic analyses become popular in seismic design and seismic performance evaluation procedures. The accuracy of the results of such analyses depends not only on accurate analytic model of structures but also a proper selection of input ground motions. The purpose of this study is to develop a computationally efficient and accurate algorithm for selecting ground motions considering the mean and variance of target response spectrum. The proposed algorithm adopts a simulation based process for generating a desired number (=ng) of simulated response spectra using the Monte Carlo Simulation with information of the mean, variance, and correlation structure of target response spectrum. The accuracy of selecting ground motions using the proposed algorithm is improved by generating multiple (=100) sets of simulated response spectra. Ten sets are chosen from the 100 sets, which best match the mean and standard deviation of a target response spectrum. Ground motions are then selected for each of the top ten sets. The set of ground motions having the mean and standard deviation of their response spectra that best match the target response spectrum is the one to be selected. To verify the accuracy and efficiency of the algorithm, numerical examples are provided.
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      Linear and nonlinear dynamic analyses become popular in seismic design and seismic performance evaluation procedures. The accuracy of the results of such analyses depends not only on accurate analytic model of structures but also a proper selection of...

      Linear and nonlinear dynamic analyses become popular in seismic design and seismic performance evaluation procedures. The accuracy of the results of such analyses depends not only on accurate analytic model of structures but also a proper selection of input ground motions. The purpose of this study is to develop a computationally efficient and accurate algorithm for selecting ground motions considering the mean and variance of target response spectrum. The proposed algorithm adopts a simulation based process for generating a desired number (=ng) of simulated response spectra using the Monte Carlo Simulation with information of the mean, variance, and correlation structure of target response spectrum. The accuracy of selecting ground motions using the proposed algorithm is improved by generating multiple (=100) sets of simulated response spectra. Ten sets are chosen from the 100 sets, which best match the mean and standard deviation of a target response spectrum. Ground motions are then selected for each of the top ten sets. The set of ground motions having the mean and standard deviation of their response spectra that best match the target response spectrum is the one to be selected. To verify the accuracy and efficiency of the algorithm, numerical examples are provided.

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      목차 (Table of Contents)

      • Abstract
      • 1. 서론
      • 2. 목표스펙트럼에 근사한 하나의 지반운동 선정
      • 3. 배율 조정 시 반복계산이 필요 없는 하나의 지반운동 선정 방법
      • 4. 목표스펙트럼에 근사한 여러 개의 지반운동 선정
      • Abstract
      • 1. 서론
      • 2. 목표스펙트럼에 근사한 하나의 지반운동 선정
      • 3. 배율 조정 시 반복계산이 필요 없는 하나의 지반운동 선정 방법
      • 4. 목표스펙트럼에 근사한 여러 개의 지반운동 선정
      • 5. 결론
      • 참고문헌
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      참고문헌 (Reference)

      1 한상환, "목표스펙트럼에 근사한 평균응답스펙트럼을 갖는 지반운동집단의 효율적인 선정방법" 한국지진공학회 15 (15): 1-10, 2011

      2 Wen, Y. K., "Uniform hazard ground motions for mid-America cities" 17 (17): 359-384, 2001

      3 Naeim, F., "Selection and scaling of ground motions time histories for structural design using genetic algorithms" 20 : 413-426, 2004

      4 "PEER NGA database"

      5 Campbell, K. W., "NGA ground motion model for the geometric mean horizontal component of PGA, PGV, PGD and 5% damped linear elastic response spectra for periods ranging from 0. 01 to 10s" 24 : 139-171, 2008

      6 ASCE7-10, "Minimum design loads for building and other structures" American Society of Civil Engineers 2010

      7 Boore, D. M., "Equations for estimating horizontal response spectra and peak acceleration from western North America earthquakes : A summary of recent work" 68 : 128-153, 1997

      8 Abrahamson, N. A., "Empirical response spectral attenuation relations for shallow crustal earthquakes" 68 (68): 94-126, 1997

      9 Youngs, R. R., "Design ground motion library(DGML)– tool for selecting time history records for specific engineering applications" 2007

      10 Baker, J. W., "Correlation of response spectral values for multicomponent ground motion" 96 (96): 215-227, 2006

      1 한상환, "목표스펙트럼에 근사한 평균응답스펙트럼을 갖는 지반운동집단의 효율적인 선정방법" 한국지진공학회 15 (15): 1-10, 2011

      2 Wen, Y. K., "Uniform hazard ground motions for mid-America cities" 17 (17): 359-384, 2001

      3 Naeim, F., "Selection and scaling of ground motions time histories for structural design using genetic algorithms" 20 : 413-426, 2004

      4 "PEER NGA database"

      5 Campbell, K. W., "NGA ground motion model for the geometric mean horizontal component of PGA, PGV, PGD and 5% damped linear elastic response spectra for periods ranging from 0. 01 to 10s" 24 : 139-171, 2008

      6 ASCE7-10, "Minimum design loads for building and other structures" American Society of Civil Engineers 2010

      7 Boore, D. M., "Equations for estimating horizontal response spectra and peak acceleration from western North America earthquakes : A summary of recent work" 68 : 128-153, 1997

      8 Abrahamson, N. A., "Empirical response spectral attenuation relations for shallow crustal earthquakes" 68 (68): 94-126, 1997

      9 Youngs, R. R., "Design ground motion library(DGML)– tool for selecting time history records for specific engineering applications" 2007

      10 Baker, J. W., "Correlation of response spectral values for multicomponent ground motion" 96 (96): 215-227, 2006

      11 Baker, J. W., "A vector-valued ground motion intensity measure consisting of spectral acceleration and epsilon" 34 : 1193-1217, 2005

      12 Kottke, A. R., "A semi-automated procedure for selecting and scaling recorded earthquake motions for dynamic analysis" 24 : 911-932, 2008

      13 Jayaram, N., "A computationally efficient ground-motion selection algorithm for matching a target response spectrum mean and variance" Earthquake Spectra, (in press) 2011

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      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
      2022 평가예정 계속평가 신청대상 (등재유지)
      2017-01-01 평가 우수등재학술지 선정 (계속평가)
      2013-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2011-03-25 학술지명변경 한글명 : 대한건축학회 논문집(구조계) -> 대한건축학회논문집 구조계
      외국어명 : Journal of the Architectural Institute of Korea(Structure & Construction) -> Journal of the Architectural Institute of Korea Structure & Construction
      KCI등재
      2010-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2008-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2006-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2004-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2001-07-01 평가 등재학술지 선정 (등재후보2차) KCI등재
      1999-01-01 평가 등재후보학술지 선정 (신규평가) KCI등재후보
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      학술지 인용정보

      학술지 인용정보
      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 0.35 0.35 0.33
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.29 0.27 0.614 0.04
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