Comprehensive Characterization of Unsaturated Soils using Advanced Photogrammetry and Novel Fiber Optic Sensors

使用先进摄影测量和新型光纤传感器对非饱和土壤进行综合表征

• 批准号: 2229380
• 负责人: Xiong Zhang
• 金额: $ 60.51万
• 依托单位: Missouri University of Science and Technology
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-08-01 至 2026-07-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2229380&HistoricalAwards=false
• 关键词: Comprehensive; Characterization; Unsaturated; Soils; using

This award aims to address critical challenges in the field of unsaturated soil mechanics by developing innovative measurement methods and sensors for comprehensive characterization of soil behavior. The project's significance lies in the urgent need for accurate data to advance unsaturated soil theory and its applications in critical infrastructure, climate, and energy-related issues. By overcoming the limitations of existing measurement techniques, the project will provide precise and comprehensive test results needed for theoretical developments in this field. This research will introduce a multi-camera based photogrammetric method for continuous measurement of 3D full-field displacement during triaxial testing of soil specimens. This method, equivalent to installing thousands of noncontact displacement sensors with high precision, will enable the determination of stress states at any points in the soil specimen. Additionally, novel fiber optic sensors will be developed to measure pore air pressure and pore water pressure with exceptional precision. These sensors, with diameters similar to a human hair, will provide data necessary for the coupled hydro-mechanical evaluation of various geo-materials problems for the first time.The project's technical objectives encompass the development of a photogrammetry-based method for measuring 3D full-field soil displacement, as well as fiber optic sensors for precise measurement of pore air and pore water pressures. This research will involve the characterization of different types of unsaturated soils under different loading conditions to generate comprehensive and accurate test results. These data, combined with the PI's novel modified state surface approach, will resolve remaining points of dispute within the unsaturated soils research community. The project's intellectual merits lie in its interdisciplinary nature, integrating advances in electronics, fiber optics, image analysis, computer vision, machine learning, and mechanics for multiphase media. The research will not only advance unsaturated soil theory but also enable the use of undrained tests for constitutive modeling, significantly reducing testing time. Furthermore, the developed testing methods and sensors will find application in both saturated and unsaturated soils, as well as other complex multiphase problems. The broader impacts of this research include safer and more cost-effective infrastructure design, as well as the training of the next generation of engineers and educators using state-of-the-art testing and modeling methods. The dissemination of research findings will occur through various channels, including graduate and undergraduate student training, conference presentations, workshops, and webinars. Collaboration with ASTM Committee D18 on Soil and Rock will explore updating existing standards for triaxial testing, ensuring the broader implementation of the research outcomes.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

该奖项旨在通过开发创新的测量方法和传感器来解决土壤行为的全面表征，以应对不饱和土壤力学领域的关键挑战。该项目的意义在于迫切需要准确的数据来推进不饱和土壤理论及其在关键基础设施，气候和与能源相关的问题中的应用。通过克服现有测量技术的局限性，该项目将为该领域的理论发展提供精确而全面的测试结果。这项研究将介绍一种基于多摄像机的摄影测量方法，用于在土壤样本的三轴测试期间连续测量3D全场位移。这种方法相当于以高精度安装数千个非接触式位移传感器，可以在土壤试样中的任何点确定应力状态。此外，将开发出新型的光纤传感器，以测量孔隙气压和孔隙水压。这些传感器的直径类似于人的头发，将提供第一次对各种地质物质问题进行耦合的水力机械评估所必需的数据。该项目的技术目标包括开发基于摄影的方法，用于测量3D的3D全场土壤，以及用于精确测量孔和孔的孔隙式孔和孔的式孔隙式孔和孔。这项研究将涉及不同类型的不饱和土壤在不同负载条件下的表征，以产生全面而准确的测试结果。这些数据，结合了PI的新型修改状态表面方法，将解决不饱和土壤研究界的剩余争议点。该项目的智力优点在于其跨学科的性质，在电子，光纤，图像分析，计算机视觉，机器学习和多相媒体的机制中融合了进步。这项研究不仅将推进不饱和的土壤理论，而且还可以使未排水测试用于组成型建模，从而大大减少了测试时间。此外，开发的测试方法和传感器将在饱和和不饱和土壤以及其他复杂的多相问题中找到应用。这项研究的更广泛影响包括使用最先进的测试和建模方法对下一代工程师和教育者进行培训，更安全，更具成本效益的基础设施设计。研究结果的传播将通过各种渠道进行，包括研究生和本科生培训，会议演讲，研讨会和网络研讨会。与ASTM委员会在土壤和岩石上的合作将探索更新三轴测试的现有标准，以确保更广泛的研究成果实施。该奖项反映了NSF的法定任务，并被认为是值得通过基金会的知识分子优点和更广泛影响的审查标准来通过评估来获得支持的。