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

用于完整、准确评估路面的下一代地下传感器

• 批准号: 0002912
• 负责人: Cam Nguyen
• 金额: $ 21.24万
• 依托单位: Texas A&M Engineering Experiment Station
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2001
• 资助国家: 美国
• 起止时间: 2001-01-01 至 2006-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0002912&HistoricalAwards=false
• 关键词: Next; Generation; Subsurface; Sensor; Complete

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.

项目负责人姓名：Cam nguyen院校：Texas A&amp；M university提案号：0002912提案题目：摘要：本项目旨在研究一种创新的地下传感器，能够同时具有深穿透性和良好的距离和方位角分辨率，用于快速、可靠、准确地评估路面结构，如测量基岩的层厚和深度，检测空洞和异物，以及检测厚混凝土路面。新型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。该传感器将采用小尺寸、低成本、高性能的微波集成电路实现。将进行三项主要任务：研究和开发一种创新的地下传感器，制造实验室测试样品和现场测试场地，以及测试和评估新的传感器。目前，对于土木工程师来说，还没有一种系统可以同时提供非常深的穿透能力和出色的范围和方位角分辨率，从而对路面结构进行完整而准确的无损评估。该传感器具有这些功能，因此将为现有传感器无法解决的路面问题提供前所未有的解决方案。因此，它将显著改善路面评价的性能，更不用说路面监测、维修和修复活动的重要成本降低。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发展铺平道路。因此，提出的研究将对使用传感器技术的土木工程的许多当前和未来应用产生强烈影响。