Next-Generation Subsurface Sensor For Complete and Accurate Assessment of Pavements

主要研究者姓名：Cam Nguyen机构：Texas A& M University建议编号：0002912建议标题：下一代地下传感器的完整和准确的评估pavementsProject摘要：本项目旨在研究一种创新的地下传感器，能够同时深穿透和出色的范围和方位角分辨率的快速，可靠，准确的评估路面结构，如测量层厚度和深度的基岩，检测空隙和异物，厚混凝土路面的检查。新传感器将基于脉冲压缩和合成阵列天线的原理，这是一种独特的组合，可实现深度穿透和精细分辨率。 该传感器将实现使用微波集成电路的小尺寸，低成本，高性能。 将进行三项主要任务：研究和开发创新的地下传感器，制造实验室测试样品和现场测试场地，以及测试和评估新传感器。 目前，没有一个系统可供土木工程师使用，可以同时提供非常深的渗透和出色的范围和方位角分辨率的能力，需要完整和准确的无损评价路面结构。 拟议的传感器具有这些功能，因此将提供前所未有的解决方案，路面问题，目前无法解决现有的传感器。因此，它将导致显着的性能改善，在路面的评价-更不用说重要的成本降低路面监测，维护和修复活动。这项研究也将为未来土木工程研究中更先进的传感器技术的研究和开发铺平道路。 因此，拟议的研究将对一些当前和未来的应用土木工程使用传感器技术产生强烈的影响。

PI's Name: Cam NguyenInstitution: Texas A&M UniversityProposal Number: 0002912Proposal Title: Next-Generation Subsurface Sensor for Complete and Accurate Assessment of PavementsProject Abstract:This project aims to research an innovative subsurface sensor capable of simultaneously deep penetration and excellent range and azimuth resolutions for fast, reliable, and accurate assessment of pavement structures, such as measuring layer thickness and depth of bedrock, detecting voids and foreign objects, and inspection of thick concrete pavements. The new sensor will be based on the principles of pulse compression and synthetic array antenna, a unique combination for achieving both deep penetration and fine resolutions. The sensor will be realized using microwave integrated circuits for small size, low cost, and high performance. Three major tasks will be conducted: research and development of an innovative subsurface sensor, fabrication of laboratory test specimens and field test sites, and test and evaluation of the new sensor. Currently, there is no system available to civil engineers that can simultaneously provide very deep penetration and excellent range and azimuth resolution capabilities needed for complete and accurate nondestructive evaluation of pavement structures. The proposed sensor has these capabilities, and hence will provide unprecedented solutions to pavement problems that currently cannot be solved with existing sensors. It will therefore lead to significant performance improvements in the evaluation of pavements - not to mention important cost reduction in pavement monitoring, maintenance, and rehabilitation activities. This research will also pave the way for future research and developments of further advanced sensor technologies for civil engineering research. The research proposed will therefore have a strong impact on a number of current and future applications of civil engineering using sensor technologies.