STTR Phase I: Asphalt Rehabilitation Utilizing a 3D Shaped Asphalt Overlay

STTR 第一阶段：利用 3D 形状沥青覆盖层进行沥青修复

• 批准号: 1938570
• 负责人: John Smith
• 金额: $ 22.45万
• 依托单位: Advanced Paving Technolgies Inc.
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-12-01 至 2022-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1938570&HistoricalAwards=false
• 关键词: STTR; Phase; Asphalt; Rehabilitation; Utilizing

The broader impact/commercial potential of this Small Business Innovation Research (SBIR) project are to use lidar and advanced computer modeling with a 3D asphalt paving machine for asphalt rehabilitation by enabling milling only over areas where the material has broken down, then applying a 3D asphalt overlay tailored to compensate for surface deformations. This will reduce the overall footprint of the project by reducing the milling, hauling and remixing of asphalt by at least 50%, as well as reducing traffic congestion. This will produce a better, longer lasting road at a fraction of the time and cost while delivering it in a way that is much friendlier to the environment and society. Benefits of this approach are to create higher quality roads that are safer, enable improved gas mileage, and reduce vehicle maintenance costs; and faster completion of paving projects at reduced cost. This Small Business Technology Transfer (STTR) Phase I project will study an innovative method of asphalt rehabilitation utilizing a 3D asphalt overlay. Current asphalt paving machines are limited to delivering a flat layer of asphalt inadequate to address surface deformations and requiring the entire road surface to be milled flat. The goal of this research project is to transform an uneven road surface into a smooth, flat driving surface with an International Roughness Index (IRI) =60, but without having to grind down the entire surface to a flat plane. Research will include scanning multiple test sections of roadway and using the point-cloud data to model and design the 3D shape of a compensating asphalt overlay for each test section. The asphalt overlay is then delivered by a paving machine modified to deliver asphalt in 3D. Additional scans will be performed both before and after final compaction of the test sections to assess the accuracy of predictive algorithms and provide feedback into subsequent tests. The anticipated result will show that a 3D asphalt overlay can be modeled and accurately delivered to produce a smooth flat driving surface without having to mill down the entire surface flat.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.

这个小型企业创新研究（SBIR）项目的更广泛的影响/商业潜力是使用激光雷达和先进的计算机建模与3D沥青摊铺机进行沥青修复，仅在材料分解的区域进行铣削，然后应用定制的3D沥青覆盖层来补偿表面变形。这将通过减少至少50%的沥青的研磨，运输和重新混合来减少项目的总体足迹，并减少交通拥堵。这将以一小部分时间和成本建造一条更好、更持久的道路，同时以一种对环境和社会更友好的方式交付。这种方法的好处是创造更高质量的道路，更安全，能够提高油耗，降低车辆维护成本;并以更低的成本更快地完成铺路项目。这个小企业技术转让（STTR）第一阶段项目将研究一种利用3D沥青覆盖层进行沥青修复的创新方法。目前的沥青铺路机限于输送不足以解决表面变形的平坦沥青层，并且需要将整个路面铣平。该研究项目的目标是将不平坦的路面改造成国际粗糙度指数（IRI）=60的光滑平坦的驾驶表面，但无需将整个表面研磨成平坦的平面。研究将包括扫描道路的多个测试部分，并使用点云数据来建模和设计每个测试部分的补偿沥青罩面的3D形状。然后，沥青覆盖层由经修改以在3D中输送沥青的铺路机输送。在测试部分最终压实之前和之后将进行额外扫描，以评估预测算法的准确性并为后续测试提供反馈。预期的结果将表明，三维沥青覆盖层可以建模和准确地提供，以产生一个光滑平坦的驾驶表面，而不必铣削整个表面平坦。该奖项反映了NSF的法定使命，并已被认为是值得通过使用基金会的智力价值和更广泛的影响审查标准进行评估的支持。