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2023 Fiscal Year Final Research Report

Proposal of feature extraction and analysis technique of earthquake motion characteristics

Research Project

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Project/Area Number 21K04586
Research Category

Grant-in-Aid for Scientific Research (C)

Allocation TypeMulti-year Fund
Section一般
Review Section Basic Section 25030:Disaster prevention engineering-related
Research InstitutionGifu University

Principal Investigator

KUSE Masumitsu  岐阜大学, 流域圏科学研究センター, 准教授 (30397319)

Co-Investigator(Kenkyū-buntansha) 能島 暢呂  岐阜大学, 工学部, 教授 (20222200)
杉戸 真太  岐阜大学, 流域圏科学研究センター, 特任教授 (60115863)
Project Period (FY) 2021-04-01 – 2024-03-31
Keywords地震動の特徴抽出 / 波形間比較 / 特徴ベクトル
Outline of Final Research Achievements

For the purpose of evaluation and analysis of earthquake motion characteristics(amplitude, period, and, duration), we applied our devel-oped method for characteristics extraction in the time-frequency domain. In this analysis, the method uti-lized a period-dependent feature vector based on the evolutionary power spectrum. And, for the comparison using to many earthquake motions, using the estimated density distribution, the singular value decomposition was applied.
As a numerical example to demonstrate the effectiveness of the proposed method, the acceleration rec-ords observed from the 2011 Off the Pacific Coast of Tohoku Earthquake were used. Consequently, the characteristics of each earthquake motions was able to extract from the principal component scores obtained from the singular value decomposition. And, the feuture vector was shown that the waveform comparison can be .

Free Research Field

地震工学

Academic Significance and Societal Importance of the Research Achievements

観測された地震動波形の工学的特性を捉え,かつ,比較的限定されたパラメータで評価された特徴量により,波形の特徴を容易に理解することが可能である.数次元程度の特徴量で地震動波形を比較できることで,多数波形を対象とした波形間評価が可能である.
得られた成果は,観測波形を利用した被害予測や分析に活用が期待できる.具体的には,
地震動波形やこれに関連する情報(観測地点周辺の被害状況や解析結果など)をデータベース化しておけば,新たな観測波形に類似した波形の関連情報を参照することが可能となると考える.

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Published: 2025-01-30  

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