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D_Hayashi_Koichi.pdfDissertation_全文6.39 MBAdobe PDF見る/開く
ykogk02878.pdfAbstract_要旨1.14 MBAdobe PDF見る/開く
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dc.contributor.advisor松岡, 俊文-
dc.contributor.advisor石田, 毅-
dc.contributor.advisor大津, 宏康-
dc.contributor.authorHayashi, Koichien
dc.contributor.alternative林, 宏一ja
dc.contributor.transcriptionハヤシ, コウイチja
dc.date.accessioned2008-06-20T04:46:40Z-
dc.date.available2008-06-20T04:46:40Z-
dc.date.created2008-
dc.date.issued2008-03-24-
dc.identifier.urihttp://hdl.handle.net/2433/57255-
dc.description.abstractWe have studied surface-wave propagation in two-dimensional space and applied surface-wave methods to near-surface S-wave velocity delineation for civil engineering applications. This dissertation describes fundamental theory of surface-wave propagation, numerical and physical modeling, surface-wave data acquisition and analysis methods that we have developed and application examples of the methods as well. We have proposed a new analysis method “CMP cross-correlation” that can greatly improve horizontal resolution of the surface-wave method. The CMP cross-correlation gathers of the multi-channel and multi-shot surface waves give accurate phase-velocity curves and enable us to reconstruct two-dimensional velocity structures with high resolutions. Data acquisition for the CMP cross-correlation analysis is similar to a 2D seismic reflection survey. Data processing seems similar to the CDP analysis of the 2D seismic reflection survey but it differs in the point that the cross-correlation of original waveform is calculated before making CMP gathers. Data processing of the CMP cross-correlation analysis consists of following four steps: First, cross-correlations are calculated for every pairs of two traces in each shot gather. Second, correlation traces having common mid-point are gathered and the traces that have equal spacing are stacked in a time domain. Resultant cross-correlation gathers resembles to shot gathers and named as CMP cross-correlation gathers. Third, a multi-channel analysis of surface waves is applied to the CMP cross-correlation gathers for calculating phase-velocities. Finally, 2D S-wave velocity profile is reconstructed through non-linear least square inversion. Analyses of waveform data from numerical modeling and field observations indicated that the new method could greatly improve the accuracy and resolution of underground S-velocity structure, compared to the conventional surface wave methods. We have performed numerical and physical modeling of surface waves in order to evaluate the applicability of the method. A finite-difference method is used in the numerical modeling and a Laser Doppler Vibrometer is used in the physical modeling. Both numerical and physical modeling has revealed that the surface-waves can be used for imaging two-dimensional velocity models. The modeling also clearly shows the applicability of the new method. The new method was applied to the real seismic data too. The data acquisition was similar to the shallow P-wave seismic reflection methods. The CMP cross-correlation analysis calculates dispersion curves from shot gathers. A non-linear least square inversion was applied to each dispersion curve in order to obtain one-dimensional S-wave velocity models. The velocity models down to depth of ten meters obtained through the CMP cross-correlation analysis agreed with known geological information very well. We have modified a passive surface-wave method, so called a micro-tremors array measurement, and applied it to near-surface investigation in civil engineering purposes. We have developed irregular arrays methods, such as L-shape array or linear array, for the micro-tremors array measurement and evaluated the applicability of them in comparison with isotropic array. These results lead to the conclusion that irregular arrays can be used for small-scale passive surface-wave method in which relatively high-frequency (1 to 10Hz) micro-tremors are used. Our new surface-wave methods have been applied to several different purposes in civil engineering, such as housing site investigations, earthquake disaster mitigation, levee inspections, and environmental issues. All these application examples prove that the surface-wave methods are very effective tool for estimating subsurface S-wave velocity model. The most important character of the surface-wave methods is that the method can estimate subsurface rigidity non-destructively from ground surface in soil engineering applications. Traditional geophysical methods in engineering field, such as a seismic refraction survey and a resistivity survey, are mainly used in rock mechanics field. No geophysical method has been widely used in soil engineering except loggings. The surface-wave methods can be first non-destructive investigation in soil engineering and it implies that the method will be used very widely. We believe that the surface-wave methods must become one of the standard methods in civil engineering investigations.en
dc.format.mimetypeapplication/pdf-
dc.language.isoeng-
dc.publisher京都大学 (Kyoto University)ja
dc.publisher.alternative京都大学ja
dc.subject地質調査ja
dc.subject物理探査ja
dc.subject表面波探査ja
dc.subjectS波速度ja
dc.subject.ndc500-
dc.titleDevelopment of Surface-wave Methods and Its Application to Site Investigationsen
dc.title.alternative表面波探査の開発とその地質調査への適用ja
dc.title.transcriptionヒョウメンハ タンサ ノ カイハツ ト ソノ チシツ チョウサ エ ノ テキヨウja-Kana
dc.typedoctoral thesis-
dc.type.niitypeThesis or Dissertation-
dc.textversionauthor-
dc.address京都大学大学院工学研究科資源工学専攻ja
dc.identifier.ndlid000009376472-
dc.description.degreegrantor京都大学ja
dc.description.degreeuniversitycode0048-
dc.description.degreelevel新制・課程博士-
dc.description.degreediscipline博士(工学)ja
dc.description.degreereportnumber甲第13774号-
dc.description.degreenumber工博第2878号-
dc.description.degreekucallnumber新制||工||1425(附属図書館)-
dc.description.degreeserialnumber25990-
dc.description.degreendlcallnumberUT51-2008-C690-
dc.date.granted2008-03-24-
dc.description.degreeaffiliation京都大学大学院工学研究科資源工学専攻-
dc.description.degreeexamcommittee(主査)教授 松岡 俊文, 教授 石田 毅, 教授 大津 宏康-
dc.description.degreeprovision学位規則第4条第1項該当-
dc.identifier.selfDOI10.14989/doctor.k13774-
dcterms.accessRightsopen access-
dc.description.degreediscipline-enDoctor of Engineeringen
dc.identifier.degreegrantorID14301-
dc.description.degreegrantor-enKyoto Universityen
dc.description.degreeObjectTypeDFAM-
jpcoar.contributor.TypeSupervisor-
jpcoar.contributor.TypeSupervisor-
jpcoar.contributor.TypeSupervisor-
jpcoar.contributor.Name松岡, 俊文ja
jpcoar.contributor.Name石田, 毅ja
jpcoar.contributor.Name大津, 宏康ja
出現コレクション:090 博士(工学)

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