Adaptive trans-dimensional inversion of multimode dispersion curve based on slime mold algorithm

Wang, Xin; Feng, Xuan; Liu, Qian; Bai, Han; Dong, Xuri; Wang, TaiHan

doi:10.1007/s11600-023-01086-5

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Tytuł artykułu

Adaptive trans-dimensional inversion of multimode dispersion curve based on slime mold algorithm

Autorzy

Wang Xin , Feng Xuan , Liu Qian , Bai Han , Dong Xuri , Wang TaiHan

Wybrane pełne teksty z tego czasopisma

https://www.springer.com/journal/11600

Identyfikatory

DOI

10.1007/s11600-023-01086-5

Warianty tytułu

Języki publikacji

Abstrakty

With the rise of low-cost and high-density observation system Distributed Acoustic Sensing (DAS), the effective utilization of high-mode surface wave becomes extremely important due to unique measuring method of DAS. To solve the interference of mode identification of dispersion curve and model dimension division on inversion results, we introduced the fitting degree of the dispersion curve, the model dimension, and the uncertainty estimation of the picked dispersion curve to construct a new objective function, and developed a strategy of adaptive trans-dimensional inversion of multimode dispersion curve based on slime mold algorithm (SMA). The research results show that our objective function can not only satisfy the fitting degree of dispersion curve, but also adaptively select the best model dimension, and does not depend on the mode identification of dispersion curve. Inversion strategy based on SMA algorithm has high flexibility, accuracy, stability, and practicality. Our method develops a new technology for dispersion curve inversion and provides a new idea for DAS system to realize low-cost and high-resolution city underground structure detection.

Słowa kluczowe

inverse theory seismic tomography surface waves free oscillations waves

teoria odwrotna tomografia sejsmiczna fale powierzchniowe fale swobodne oscylacje

Wydawca

Instytut Geofizyki PAN
Springer

Czasopismo

Acta Geophysica

Rocznik

2024

Tom

Vol. 72, no. 1

Strony

233--245

Opis fizyczny

Bibliogr. 48 poz.

Twórcy

autor

Wang Xin

College of Geo-Exploration Science and Technology, Jilin University, Changchun 130026, China

autor

Feng Xuan

fengxuan@jlu.edu.cn

College of Geo-Exploration Science and Technology, Jilin University, Changchun 130026, China

autor

Liu Qian

College of Geo-Exploration Science and Technology, Jilin University, Changchun 130026, China

autor

Bai Han

College of Geo-Exploration Science and Technology, Jilin University, Changchun 130026, China

autor

Dong Xuri

College of Geo-Exploration Science and Technology, Jilin University, Changchun 130026, China

autor

Wang TaiHan

wangtaihan@jlu.edu.cn

College of Geo-Exploration Science and Technology, Jilin University, Changchun 130026, China

Bibliografia

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Bibliografia

Identyfikator YADDA

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