CAREER: Imaging and Visualization Technologies for Geotechnical/Geoenvironmental Site Characterization

职业：用于岩土工程/地质环境场地表征的成像和可视化技术

• 批准号: 9733595
• 负责人: Scott Raschke
• 金额: $ 21万
• 依托单位: Lehigh University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1998
• 资助国家: 美国
• 起止时间: 1998-06-01 至 2002-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9733595&HistoricalAwards=false
• 关键词: CAREER; Imaging; Visualization; Technologies; Geotechnical

This CAREER award supports research leading to the development of a new methodology and modeling techniques for performing geotechnical and geo-environmental site characterizations. The Principal Investigator will build on the previously developed Vision Cone Penetrometer (VisCPT) system capable of capturing and recording continuous video images of the subsurface materials in real time. This research will develop a suite of image processing and analysis programs for both qualitative visualization (including virtual specimens shown at low and high magnification) and quantitative characterization (including development of a Soil Image Classification system that can identify subsurface stratigraphic units difficult to detect using existing methods). Sophisticated image processing and analysis algorithms, such as texture classification and segmentation using wavelets, co-occurrence approaches, etc., will be applied for soil characterization. A three-dimensional `Geoscience Modeling Environment` will be created for visualizing site data obtained from various measurements. The educational objective for this project is to develop a curriculum that emphasizes the importance of site investigation and characterization for engineering problems. A new, flexible course module, including integrated computer methods, on site characterization will be developed that can be adapted for training students at various educational levels. Development of novel, stimulating, educational experiences, which are targeted to students at different stages of intellectual development, is essential to attracting underrepresented groups into science and engineering. The theory and application of the computer programs will be examined through analysis of several real or simulated case histories. The impact of uncertainty on design and analysis will be stressed.

这个职业奖支持研究导致一个新的方法和建模技术的发展，执行岩土工程和地质环境的网站特性。 主要研究者将建立在以前开发的视觉圆锥贯入仪（VisCPT）系统，能够捕获和记录连续的视频图像的地下材料在真实的时间。 这项研究将开发一套图像处理和分析程序，用于定性可视化（包括以低和高放大倍数显示的虚拟标本）和定量表征（包括开发土壤图像分类系统，该系统可以识别使用现有方法难以检测的地下地层单位）。 先进的图像处理和分析算法，如使用小波的纹理分类和分割、共生方法等，将用于土壤特性分析。 将创建一个三维“地球科学建模环境”，以便将从各种测量中获得的现场数据可视化。 该项目的教育目标是开发一个课程，强调现场调查和工程问题的表征的重要性。 将开发一个新的、灵活的课程单元，包括综合计算机方法、现场特征描述，可用于培训不同教育水平的学生。 针对处于不同智力发展阶段的学生，开发新颖、刺激的教育经验，对于吸引代表性不足的群体进入科学和工程领域至关重要。 计算机程序的理论和应用将通过分析几个真实的或模拟的案例来检验。 将强调不确定性对设计和分析的影响。