VisCPT Image Processing, Hardware Modification and Application Development

VisCPT 图像处理、硬件修改和应用程序开发

基本信息

项目摘要

The Vision Cone Penetrometer (VisCPT) is an electronic cone penetrometer containing two miniature CCD video cameras. The cameras collect a continuous stream of images of a soil stratigraphy at two levels of magnification as the probe is advanced vertically through a soil. The VisCPT delineates soil types and through computer image processing it facilitates very high-resolution stratigraphic characterization of a site. The present research effort will consist of three parts: Development of standard indices for soil grain size based on the power spectra of wavelet-transformed images; Modifications to the existing VisCPT instrumentation including adaptation of color cameras and real-time digital image acquisition; and field data collection at the National Geotechnical Experimentation (NGES) site on Treasure Island in San Francisco. The collected VisCPT data will be evaluated with specific focus on image-texture and wavelet transform techniques for determining soil type. Continuous high quality piston tube soil samples will be taken for comparison to VisCPT results. The VisCPT images will also be compared to standard piezocone (uCPT) test results to illustrate and quantify the effects of thin strata on uCPT readings. It is anticipated that the modifications to the VisCPT will substantially enhance the ability of geotechnical engineers to characterize a site, especially with regard to the identification and location of thin strata. This will lead to significant improvement in predictions of liquefaction potential, settlement rates and other critical behaviors.
视觉圆锥贯入仪(VisCPT)是一种包含两个微型CCD摄像机的电子圆锥贯入仪。 当探头垂直穿过土壤时,摄像机以两个放大倍数收集土壤地层的连续图像流。 VisCPT描绘土壤类型,并通过计算机图像处理,它有助于非常高分辨率的地层特征的网站。 目前的研究工作将包括三个部分:土壤粒度的小波变换图像的功率谱的基础上的标准指数的发展;修改现有的VisCPT仪器,包括彩色相机和实时数字图像采集的适应;和现场数据收集在国家岩土工程实验(NGES)网站的金银岛在旧金山弗朗西斯科。将对收集到的VisCPT数据进行评估,特别侧重于确定土壤类型的图像纹理和小波变换技术。将连续采集高质量活塞管土壤样本,以与VisCPT结果进行比较。 VisCPT图像还将与标准压电锥(uCPT)测试结果进行比较,以说明和量化薄地层对uCPT读数的影响。 预计对VisCPT的修改将大大提高岩土工程师描述场地特征的能力,特别是在识别和定位薄层方面。 这将导致液化潜力,沉降速率和其他关键行为的预测显着改善。

项目成果

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Roman Hryciw其他文献

Roman Hryciw的其他文献

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{{ truncateString('Roman Hryciw', 18)}}的其他基金

Optical Characterization of Intrinsic Properties and Fabric of Coarse-Grained Soils
粗粒土固有性质和结构的光学表征
  • 批准号:
    1300010
  • 财政年份:
    2013
  • 资助金额:
    $ 20.82万
  • 项目类别:
    Standard Grant
Laboratory, Field and In-Situ Soil Characterization Through Image Processing
通过图像处理进行实验室、现场和原位土壤表征
  • 批准号:
    0900105
  • 财政年份:
    2009
  • 资助金额:
    $ 20.82万
  • 项目类别:
    Standard Grant
NEESR - II: Mechanisms and Implications of Time-Dependent Changes in the State and Properties of Recently Liquefied Sands
NEESR - II:最近液化的沙子的状态和性质随时间变化的机制和影响
  • 批准号:
    0530378
  • 财政年份:
    2005
  • 资助金额:
    $ 20.82万
  • 项目类别:
    Standard Grant
Characterization of Complex Soil Stratigraphies by VisCPT and Adaptive Remeshing
通过 VisCPT 和自适应网格划分表征复杂土壤地层
  • 批准号:
    0324444
  • 财政年份:
    2003
  • 资助金额:
    $ 20.82万
  • 项目类别:
    Continuing Grant
SGER: Soil Solidification by Magnetorheological Fluids
SGER:磁流变液固化土壤
  • 批准号:
    0129485
  • 财政年份:
    2001
  • 资助金额:
    $ 20.82万
  • 项目类别:
    Standard Grant
Soil Liquefaction Hazard Assessment by the Vision Cone Penetrometer
使用视觉锥入度计进行土壤液化危害评估
  • 批准号:
    9902940
  • 财政年份:
    1999
  • 资助金额:
    $ 20.82万
  • 项目类别:
    Standard Grant
In-Situ Soil Characterization by Vision Cone Penetrometer (V-CPT).
通过视觉锥入度计 (V-CPT) 进行原位土壤表征。
  • 批准号:
    9700128
  • 财政年份:
    1997
  • 资助金额:
    $ 20.82万
  • 项目类别:
    Continuing Grant
Subsurface Vision Probe Development
地下视觉探头开发
  • 批准号:
    9510301
  • 财政年份:
    1995
  • 资助金额:
    $ 20.82万
  • 项目类别:
    Standard Grant
Soil Liquefaction Assessment at Select Sites Following the 1994 Northridge, CA Earthquake
1994 年加利福尼亚州北岭地震后选定地点的土壤液化评估
  • 批准号:
    9412802
  • 财政年份:
    1994
  • 资助金额:
    $ 20.82万
  • 项目类别:
    Standard Grant
Testing the Liquefaction (Ground Failure) Sites Resulting from the 1989 Loma Prieta Earthquake
测试 1989 年洛马普列塔地震造成的液化(地面破坏)地点
  • 批准号:
    9011121
  • 财政年份:
    1990
  • 资助金额:
    $ 20.82万
  • 项目类别:
    Standard Grant

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