Numerical and experimental study on wave propagation in granular media using a spectral-element method

K. Mizuno, P. Cristini, D. Komatitsch, Y. Capdeville
{"title":"Numerical and experimental study on wave propagation in granular media using a spectral-element method","authors":"K. Mizuno, P. Cristini, D. Komatitsch, Y. Capdeville","doi":"10.1109/OCEANSE.2019.8867525","DOIUrl":null,"url":null,"abstract":"Acoustic systems with various operating frequencies are commonly used for the detection of objects buried in the marine sediments. However, the propagation of acoustic waves in sediments is generally much more complicated than in water because sediments are, in general, granular media composed of solid and fluid parts. It makes the understanding of signals more difficult and engineers have to rely on a cut-and-try method for the design of the new sub-bottom devices which results in an increase of the total cost of sea surveys. Therefore, a better understanding of wave propagation in the granular media and of the numerical model used for the prediction of reflected signals from buried objects is required. In the present study, we evaluate the performances of the prediction tools based on the spectral element method for the simulation of backscattered signals by comparing them to experimental results obtained in a tank filled with water and calibrated glass beads having a wide range of ratio of the grain size to the wavelength.","PeriodicalId":375793,"journal":{"name":"OCEANS 2019 - Marseille","volume":"46 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"OCEANS 2019 - Marseille","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/OCEANSE.2019.8867525","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Acoustic systems with various operating frequencies are commonly used for the detection of objects buried in the marine sediments. However, the propagation of acoustic waves in sediments is generally much more complicated than in water because sediments are, in general, granular media composed of solid and fluid parts. It makes the understanding of signals more difficult and engineers have to rely on a cut-and-try method for the design of the new sub-bottom devices which results in an increase of the total cost of sea surveys. Therefore, a better understanding of wave propagation in the granular media and of the numerical model used for the prediction of reflected signals from buried objects is required. In the present study, we evaluate the performances of the prediction tools based on the spectral element method for the simulation of backscattered signals by comparing them to experimental results obtained in a tank filled with water and calibrated glass beads having a wide range of ratio of the grain size to the wavelength.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
波谱元法在颗粒介质中传播的数值与实验研究
不同工作频率的声学系统通常用于探测海洋沉积物中的物体。然而,声波在沉积物中的传播通常比在水中复杂得多,因为沉积物通常是由固体和流体部分组成的粒状介质。这使得对信号的理解变得更加困难,工程师们不得不依靠一种反复尝试的方法来设计新的海底设备,这导致海洋调查的总成本增加。因此,需要更好地理解波在颗粒介质中的传播以及用于预测埋藏物体反射信号的数值模型。在本研究中,我们将基于谱元方法的预测工具用于模拟后向散射信号,并将其与在装满水的水箱中获得的实验结果进行比较,并将其与具有宽范围晶粒尺寸与波长比的校准玻璃珠进行比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
A Data-driven Vessel Motion Model for Offshore Access Forecasting Decentralized System Intelligence in Data Driven Networks for Shipping Industrial Applications: Digital Models to Blockchain Technologies Robust 3D Shape Classification Method using Simulated Multi View Sonar Images and Convolutional Nueral Network Weighted Grid Partitioning for Panel-Based Bathymetric SLAM Fishing Spot Detection Using Sea Water Temperature Pattern by Nonlinear Clustering
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1