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完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.advisor | 郭安妮 | zh_TW |
dc.contributor.advisor | Annie Kwok | en |
dc.contributor.author | 林昶佑 | zh_TW |
dc.contributor.author | Chang-Yu Lin | en |
dc.date.accessioned | 2023-08-16T16:23:57Z | - |
dc.date.available | 2023-11-09 | - |
dc.date.copyright | 2023-08-16 | - |
dc.date.issued | 2023 | - |
dc.date.submitted | 2023-08-09 | - |
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M., Shin, T. C., and Chang, C. H. (2001). Near real-time mapping of peak ground acceleration and peak ground velocity following a strong earthquake. Bulletin of the Seismological Society of America, 91, 1218-1228. Youngs, R. R., Abrahamson, N. A., Makdisi, F. I. and Sadigh, K. (1995). Magnitude-dependent variance of peak ground acceleration. Bulletin of 109 the Seismological Society of America, 85(4), 1161-1176. | - |
dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/88928 | - |
dc.description.abstract | 臺灣位於環太平洋地震帶上,每年都有許多地震事件發生,這些地震可能導致嚴重的損害,在實務上主要進行地震反應分析以獲取水平方向上的反應譜值。然而垂直方向上的地震動也可能導致結構嚴重損壞,例如在1971年的聖費爾南多地震中,許多橋樑倒塌正是因為巨大的垂直地震動所致,因此進一步探討水平向反應譜值和垂直向反應譜值之間的關係,可以在抗震工程中提供更多實質上的應用及幫助。
為了評估水平向和垂直向反應譜值之間的相關性,本研究從臺灣強地動觀測網(TSMIP)收集了47個強震事件的地震數據,共計10,880個記錄,彙整一份地震目錄並結合強震測站場址工程地質資料庫(EGDT)提供的場址參數,建立一地震動資料庫,接著選擇適合的強地動預估計算地震動分量在不同周期或方向(水平向與垂直向、垂直向與垂直向、水平向與水平向)之間的皮爾森相關係數,並對其進行探討,為了在實務上應用,使用非線性最小二乘迴歸方法,將計算得到的相關係數值迴歸分析,提出在不同情況下反應譜相關性之預測方程模型。 | zh_TW |
dc.description.abstract | Taiwan is located on the Ring of Fire. Many earthquakes occur every year and may cause severe damages. Ground motion prediction models are often developed for the spectral response values in the horizontal direction, while only a few are for the vertical direction. However, the ability to predict vertical ground motion is necessary as it also has the potential to cause substantial structural damage. For example, a lot of bridges collapsed because of the huge vertical ground motion during the 1971 San Fernando earthquake. In this study, the relationship between horizontal and vertical spectral response values is examined. To evaluate the correlation between the horizontal and vertical spectral response values, the ground motion data from 47 strong motion events, amounting to 10880 records, from the Taiwan Strong Motion Instrumentation Program (TSMIP) network, are collected. The earthquake attributes were compiled, and the site parameters provided by the Engineering Geological Database for TSMIP (EGDT) were utilized. Appropriate ground-motion prediction equations were selected, enabling the calculation of the Pearson correlation coefficient among spectral accelerations with differing periods and orientations such as horizontal-vertical, vertical-vertical, and horizontal-horizontal ground motion components. For practical application, a predictive models were developed for the correlation coefficients using the nonlinear least squares regression method. | en |
dc.description.provenance | Submitted by admin ntu (admin@lib.ntu.edu.tw) on 2023-08-16T16:23:57Z No. of bitstreams: 0 | en |
dc.description.provenance | Made available in DSpace on 2023-08-16T16:23:57Z (GMT). No. of bitstreams: 0 | en |
dc.description.tableofcontents | 誌謝 i
摘要 ii ABSTRACT iii TABLE OF CONTENTS iv LIST OF FIGURES vi LIST OF TABLES xi Chapter 1 Introduction 1 1.1 Background 1 1.2 Motivation 2 1.3 Objective 3 1.4 Thesis Organization 3 Chapter 2 Literature Review 5 2.1 Computation of Empirical Correlation Coefficients 5 2.2 Ground Motion Prediction Equations 8 2.3 Mixed-Effects 12 2.4 Previous Correlation Models 15 Chapter 3 Data Collection and Analysis Methods 17 3.1 Data Collection and Database Construction 17 3.1.1 Collection and Processing of Strong-Motion Earthquake Data 17 3.1.2 Classification of Earthquake Focal Mechanism 23 3.1.3 Classification of Earthquake Types 24 3.1.4 TSMIP Station Site Parameters 26 3.1.5 The Shortest Distance from a Site to a Rupture Surface. 28 3.1.6 Ground Motion Parameters 30 3.1.7 Statistical Distribution of the Strong-Motion Earthquake Data 33 3.2 Apply Ground Motion Predict Equations 37 3.2.1 Function form of Median Model 37 3.2.2 Function form of Sigma Model 43 3.2.3 Residuals Analysis 46 3.2.4 Compute Correlation Coefficient 67 3.3 Nonlinear Regression 67 3.3.1 Nonlinear Least-Squares Regression 67 3.3.2 SAS Software 69 Chapter 4 Discussion of Results 70 4.1 Correlation Coefficient Results 70 4.2 Parameters Influencing the Correlation Coefficients 77 4.2.1 Moment Magnitude 77 4.2.2 NEHRP Site Class. 79 4.2.3 Earthquake Types 83 4.3 Parametric Predictive Correlation model 87 4.3.1 Correlation models 87 4.3.2 Compared to Previous Studies 98 Chapter 5 Conclusions and Recommendations 100 5.1 Conclusions 100 5.2 Recommendations for Future Research 100 References 102 Appendix 106 | - |
dc.language.iso | en | - |
dc.title | 台灣地震動數據中反應譜值相關性之研究 | zh_TW |
dc.title | A study of Correlation of Response Spectral Values using Taiwan Ground Motion Data | en |
dc.type | Thesis | - |
dc.date.schoolyear | 111-2 | - |
dc.description.degree | 碩士 | - |
dc.contributor.oralexamcommittee | 郭俊翔;許尚逸 | zh_TW |
dc.contributor.oralexamcommittee | Chun-Hsiang Kuo;Shang-Yi Hsu | en |
dc.subject.keyword | 反應譜值,相關係數,垂直地動值,強地動預估式,相關性模型, | zh_TW |
dc.subject.keyword | Response Spectral Values,Correlation Coefficient,Vertical Ground Motion Component,Ground Motion Prediction Equations,Correlation Model, | en |
dc.relation.page | 144 | - |
dc.identifier.doi | 10.6342/NTU202303258 | - |
dc.rights.note | 同意授權(全球公開) | - |
dc.date.accepted | 2023-08-10 | - |
dc.contributor.author-college | 工學院 | - |
dc.contributor.author-dept | 土木工程學系 | - |
顯示於系所單位: | 土木工程學系 |
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