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Bayesian Rayleigh wave inversion with an unknown number of layers
Ka-Veng Yuen; Xiao-Hui Yang
Source PublicationEarthquake Engineering and Engineering Vibration

Surface wave methods have received much attention due to their efficient, flexible and convenient characteristics. However, there are still critical issues regarding a key step in surface wave inversion. In most existing methods, the number of layers is assumed to be known prior to the process of inversion. However, improper assignment of this parameter leads to erroneous inversion results. A Bayesian nonparametric method for Rayleigh wave inversion is proposed herein to address this problem. In this method, each model class represents a particular number of layers with unknown S-wave velocity and thickness of each layer. As a result, determination of the number of layers is equivalent to selection of the most applicable model class. Regarding each model class, the optimization search of S-wave velocity and thickness of each layer is implemented by using a genetic algorithm. Then, each model class is assessed in view of its efficiency under the Bayesian framework and the most efficient class is selected. Simulated and actual examples verify that the proposed Bayesian nonparametric approach is reliable and efficient for Rayleigh wave inversion, especially for its capability to determine the number of layers.

KeywordBayesian Model Class Selection Generalized R/t Coefficients Algorithm Genetic Algorithm Inversion Of Rayleigh Wave Number Of Layers
URLView the original
Indexed BySCIE
WOS Research AreaEngineering
WOS SubjectEngineering, Civil ; Engineering, Geological
WOS IDWOS:000581065100005
Scopus ID2-s2.0-85092769657
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Cited Times [WOS]:3   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionFaculty of Science and Technology
AffiliationState Key Laboratory of Internet of Things for Smart City and Department of Civil and Environmental Engineering,University of Macau,999078,Macao
First Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Ka-Veng Yuen,Xiao-Hui Yang. Bayesian Rayleigh wave inversion with an unknown number of layers[J]. Earthquake Engineering and Engineering Vibration,2020,19(4):875-886.
APA Ka-Veng Yuen,&Xiao-Hui Yang.(2020).Bayesian Rayleigh wave inversion with an unknown number of layers.Earthquake Engineering and Engineering Vibration,19(4),875-886.
MLA Ka-Veng Yuen,et al."Bayesian Rayleigh wave inversion with an unknown number of layers".Earthquake Engineering and Engineering Vibration 19.4(2020):875-886.
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