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

Pi‘s name：Cam Nguyen机构：德克萨斯A&A；M大学提案编号：0002912提案标题：用于完整和准确评估路面的下一代地下传感器项目摘要：该项目旨在研究一种创新的地下传感器，能够同时进行深度渗透和出色的距离和方位分辨率，以快速、可靠和准确地评估路面结构，如测量基岩的层厚度和深度，检测空洞和异物，以及检查厚实的混凝土路面。新的传感器将基于脉冲压缩和合成阵列天线的原理，这是实现深度穿透和精细分辨率的独特组合。该传感器将采用微波集成电路实现，具有体积小、成本低、性能高等特点。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，以及对新传感器的测试和评估。目前，土木工程师还没有一个系统可以同时提供非常深的渗透和出色的距离和方位分辨率能力，这是全面和准确地对路面结构进行无损评估所需的。拟议的传感器具有这些功能，因此将为目前无法用现有传感器解决的路面问题提供前所未有的解决方案。因此，它将显著提高路面评估的性能--更不用说在路面监控、维护和修复活动中大幅降低成本了。这项研究也将为未来土木工程研究中进一步先进的传感器技术的研究和开发铺平道路。因此，拟议的研究将对使用传感器技术的土木工程的一些当前和未来的应用产生强烈的影响。

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.