共查询到15条相似文献,搜索用时 93 毫秒
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介绍了一种液压驱动贯入式海底沉积声学原位测量系统的电路控制单元的研究实现过程,以及该控制单元在南海北部海底沉积声学调查中的应用。该电路控制单元以Cortex-A8处理器为核心,集成大容量FLASH存储器,与单片机接口控制板进行串口通讯,实现对声学发射采集单元和机械液压贯入单元的可视化控制和监测。基于该电路控制单元,海底底质声学原位测量系统兼具自容式和在线式两种工作模式,可自容记录或实时采集声学原位测量单元在海底的工作状态数据、海底沉积物声速和声衰减系数等声学特性数据。该声学原位测量系统的实验室联调及南海海试结果表明,使用该电路控制单元对海底底质声学测量过程的监测与控制是有效的,对精确获取海底底质的原位声学特性有重要作用,可以促进海底底质声学原位测量系统的产品化。 相似文献
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多频海底声学原位测试系统研制和试用 总被引:11,自引:2,他引:9
海底沉积物的声学特性(最重要的是声速和声衰减)以及它们与物理(包括土力学)特性之间的关系是沉积物声学中两个重要的研究项目.介绍了新研制的实时监控多频海底声学原位测试系统.该系统可测量浅表层沉积物的声速.探测频率为8,10,12,15 kHz,可根据实际情况选择发射波形、接收增益和采样长度,采样率为0.5~2.0 MHz,工作水深为300 m.系统具有倾斜传感器、8通道扩充等功能.用该系统在杭州湾测得了四种频率的沉积物原位声速. 相似文献
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海底沉积物声学性质原位测量系统海上试验研究 总被引:1,自引:0,他引:1
提出了一种新的海底沉积物声学性质原位测量方法,介绍了新研制的海底沉积物声学性质原位测量系统。在青岛近海海域对该系统进行了海试,获得了各个站位的声速数据。将测得的各站位的声速与不同海域的沉积物声速进行对比分析,并对各个站位的声速与沉积物的平均粒径进行了相关性分析,发现与以往研究结果一致,沉积物声速与沉积物类型相关,不同类型的沉积物的声速有明显差异;声速与平均粒径相关性较好,粒径越大,声速越高。结果表明,利用海底沉积物声学性质原位测量系统测得的原位声速是正确的,它能快速准确地得到海底沉积物的声速值。 相似文献
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基于在南黄海中部获得的海底沉积物原位声速数据,分析讨论了原位声速与密度、含水量、孔隙比、孔隙度等沉积物物理性质参数的相关关系。通过回归分析建立了海底沉积物原位声速预测方程。结果表明,原位声速与上述物理参数之间具有良好的相关性,相关系数r均大于0.93。对比分析了原位声速预测方程与甲板声速预测方程的差异,两者最小相差15.8 m/s,最大相差31.3 m/s,平均差值约为22.6 m/s。将原位声速预测方程与其他研究者建立的声速预测方程进行了对比,结果表明不同声速预测方程存在明显差异,初步分析了存在差异的原因。 相似文献
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Jingqiang Wang Baohua Liu Guangming Kan Zhiwen Sun Xiangmei Meng 《Marine Georesources & Geotechnology》2018,36(5):515-521
The mechanical structure, the function modules, the working principles, and a sea trial of the newly developed ballast in situ sediment acoustic measurement system are reported in this study. The system relies on its own weight to insert transducers into seafloor sediments and can accurately measure the penetration depth using a specially designed mechanism. The system comprises of an underwater position monitoring and working status judgment module and has two operation modes: self-contained measurement and real-time visualization. The designed maximum working water depth of the system is 3,000?m, and the maximum measured depth of seafloor sediment is 0.8?m. The system has one transmitting transducer with the transmitting frequency band of 20–35?kHz and three receiving transducers. The in situ acoustic measurement system was tested at 15 stations in the northern South China Sea, and repeated measurements in seawater demonstrated good working performance. Comparison with predictions from empirical equations indicated that the measured speed of sound and attenuation fell within the predicted range and that the in situ measured data were reliable. 相似文献
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Guanbao Li Jingqiang Wang Xiangmei Meng Baohua Liu Guangming Kan Guozhong Han Qingfeng Hua Yanliang Pei Lei Sun 《海洋学报(英文版)》2021,40(4):65-73
Building empirical equations is an effective way to link the acoustic and physical properties of sediments. These equations play an important role in the prediction of sediments sound speeds required in underwater acoustics.Although many empirical equations coupling acoustic and physical properties have been developed over the past few decades, further confirmation of their applicability by obtaining large amounts of data, especially for equations based on in situ acoustic measurement techniques, is required. A sediment acoustic survey in the South Yellow Sea from 2009 to 2010 revealed statistical relationships between the in situ sound speed and sediment physical properties. To improve the comparability of these relationships with existing empirical equations, the present study calculated the ratio of the in situ sediment sound speed to the bottom seawater sound speed, and established the relationships between the sound speed ratio and the mean grain size, density and porosity of the sediment. The sound speed of seawater at in situ measurement stations was calculated using a perennially averaged seawater sound speed map by an interpolation method. Moreover, empirical relations between the index of impedance and the sound speed and the physical properties were established. The results confirmed that the existing empirical equations between the in situ sound speed ratio and the density and porosity have general suitability for application. This study also considered that a multiple-parameter equation coupling the sound speed ratio to both the porosity and the mean grain size may be more useful for predicting the sound speed than an equation coupling the sound speed ratio to the mean grain size. 相似文献
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基于海底表层沉积物声速特征的南海地声模型 总被引:1,自引:1,他引:0
在由垂直声速梯度建立的地声模型基础上,通过引入沉积物与海水声速比和沉积物压缩波与切变波声速比两个表征沉积物声学特征参数得到更全面和有实际指导意义的地声模型。在沉积物声波传播FCMCM模型基础上,基于热作用和重力作用下沉积物两相介质的应力应变分析,建立TFCMCM和DFCFCM模型,运用模型校正表层沉积物声速特征来计算和解释地声模型。根据海底表层沉积物存在低声速和高声速两种类型,结合沉积物沿纵深孔隙度不变和变化两种类型,得到南海海底沉积物的两类四种典型地声模型:低声速孔隙度不变型、低声速孔隙度减小型、高声速不变型和高声速孔隙度减小型。运用这四种典型地声模型的组合解释了卢博提出的南海三种典型声速结构。认知声速结构将为南海声学探测海底、划分海底区域提供模型支持。 相似文献
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为研究小尺度海底沉积物样品的声衰减特性,作者提出了用声学探针测量海底沉积物声波幅值的新方法,对沉积物样品扰动小,两个测量点的距离可小于波长,为海底沉积物微观声衰减测量提供了新手段。作者用小于波长的间隔逐点测量了沉积物的压缩波幅值,数据分析表明沿沉积物柱状样全长的声衰减满足指数衰减模型。目前主要用同轴差距衰减测量法获得海底沉积物声衰减数据,但该方法不能辨识声衰减模型,因此不同海区的测量结果难以建立联系。对此作者又提出用声吸收系数反演的幅值比与声衰减系数反演的R值(两种幅值比的比值)作评价依据,分析了垂直轴差距衰减测量法获得的南海海底沉积物声衰减测量数据,发现部分沉积物样品声衰减的R值远大于1,其声衰减不满足指数衰减模型。在声衰减满足指数衰减模型的条件下,用Hamilton的声衰减和频率经验公式预报的南海沉积物声衰减比与作者用声学探针测量海底沉积物所得的声衰减比对比,通过对R值分析得出Hamilton的声衰减和频率经验公式可以预报南海沉积物声衰减比的范围。作者提出的声学探针测量海底沉积物声衰减的方法的优点是既能获得声衰减数据又能辨识声衰减模型,不同海区测量的沉积物声衰减比可用R值建立联系。 相似文献
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Lei Sun Xiangmei Meng Guanbao Li Guangming Kan Baohua Liu 《Marine Georesources & Geotechnology》2020,38(5):595-603
AbstractThe high-frequency acoustic properties of seafloor sediments are very significant in seafloor study and underwater acoustic study field. In order to measure the sound speed and the attenuation for the small-scale sediment cores more accurately, this study developed a water coupled acoustic laboratory measurement system based on Richardson-Briggs technique. This method used the correlation comparison of waveforms received in sediment core and in identical reference tubes filled with water to measure sound speed and attenuation. The sound speed and attenuation of a clayey silt sediment sample were measured using the water coupled acoustic laboratory measurement system. This frequency dependence of the sound speed and attenuation showed that the clayey silt sediment has a weak positive sound speed dispersion, while the attenuation increases with a strong positive gradient within the measurement frequency range. This study also noted that the measured sound speed ratio match well with the empirical equations from literature. The measured attenuation factor data can fall in the Hamilton’s empirical prediction range. 相似文献