Modeling, Analysis, and Diagnostics of High Strength-to-Weight Wind Turbine Blades Using Tensegrity Principles

使用张拉整体原理对高强度重量比风力涡轮机叶片进行建模、分析和诊断

基本信息

批准号：
1762825
负责人：
Raktim Bhattacharya
金额：
$ 37.47万
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：
2018
资助国家：
美国
起止时间：
2018-09-01 至 2022-08-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1762825&HistoricalAwards=false
关键词：
Modeling Analysis Diagnostics Strength Weight

项目摘要

Access to affordable, reliable, and sustainable energy across the globe is one of the 2030 targets of the United Nations. This requires a substantial increase in the share of renewable energy within the global energy mix. Wind is a prominent part of the solution if the world is to achieve such a target. To meet the 2030 target, the industry is moving to off-shore sites where larger wind-turbines can be deployed. As the rotors become larger, the blades become longer which poses some challenges. The industry has relied on improvements in blade structural design, manufacturing processes and material properties to meet the requirements for longer blades that remain light-weight, strong and stiff. Currently, material performance criteria identify fiber-reinforced polymer composites as the prime candidate for rotor blades. However, use of such material presents several challenges in design analysis, manufacturing, vibration control, structural health assessment, and transportation. In this effort, the investigators will develop new theoretical and computational tools for designing large turbine blades using tensegrity principles, which will significantly alleviate some of the above described engineering challenges. It is expected that the proposed design framework will be disruptive and lead to much more efficient design of next generation wind-turbine blades. The tensegrity-based design of wind-turbine blades has several advantages including accurate modeling, aero-elastic tailoring, optimal sensing for structural health monitoring, and ability to contract to a smaller form factor for easy deployability. The proposed research will alleviate some of the pressing technical and scientific challenges in the wind energy community, and provide a feasible path to address the proposed expansion from 5 GW in 2012 to 150 GW in 2030. The scientific problems that will be addressed in this research also present a new systems engineering perspective, which is missing in current engineering practices. The state-of-the-art in each component technology (physics/data based modeling, sensing, actuation, control, computation) is quite matured. However, a systems perspective is missing. Typically these systems are first built and modeled, sensing and actuation architecture (including precision) is decided in an adhoc manner, followed by the design of the estimation/control law that is constrained by this adhoc sensing and control architecture. In this effort, we pursue an integrated approach for design of the structure (mass properties, topology, dynamics), and the sensing architecture (for optimal health monitoring), which provides a new perspective with strong theoretical foundations.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.

在全球范围内获得负担得起的、可靠的和可持续的能源是联合国 2030 年的目标之一。这需要大幅增加可再生能源在全球能源结构中的份额。如果世界要实现这一目标，风能就是解决方案的重要组成部分。为了实现 2030 年的目标，该行业正在转向可以部署更大风力涡轮机的离岸站点。随着转子变得更大，叶片变得更长，这带来了一些挑战。该行业依靠叶片结构设计、制造工艺和材料性能的改进来满足对更长叶片的要求，同时保持轻质、坚固和刚性。目前，材料性能标准将纤维增强聚合物复合材料确定为转子叶片的主要候选材料。然而，这种材料的使用在设计分析、制造、振动控制、结构健康评估和运输方面提出了一些挑战。在这项工作中，研究人员将开发新的理论和计算工具，用于使用张拉整体原理设计大型涡轮叶片，这将显着缓解上述的一些工程挑战。预计所提出的设计框架将具有颠覆性，并导致下一代风力涡轮机叶片的设计更加高效。基于张拉整体的风力涡轮机叶片设计具有多种优势，包括精确建模、气动弹性剪裁、用于结构健康监测的最佳传感，以及收缩至更小外形以方便部署的能力。拟议的研究将缓解风能界一些紧迫的技术和科学挑战，并为解决拟议的从 2012 年 5 吉瓦到 2030 年 150 吉瓦的扩张提供可行的路径。本研究将解决的科学问题还提出了当前工程实践中所缺少的新系统工程视角。每个组件技术（基于物理/数据的建模、传感、驱动、控制、计算）的最新技术都相当成熟。然而，缺乏系统视角。通常，首先构建和建模这些系统，以特别的方式决定传感和驱动架构（包括精度），然后设计受该特别的传感和控制架构约束的估计/控制律。在这项工作中，我们追求一种结构设计（质量特性、拓扑、动力学）和传感架构（用于最佳健康监测）的综合方法，这提供了具有坚实理论基础的新视角。该奖项反映了 NSF 的法定使命通过使用基金会的智力优点和更广泛的影响审查标准进行评估，并被认为值得支持。