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DMS-EPSRC: Collaborative Research: Stochastic Dynamics of Vibro-Impact Systems with Applications in Energy Harvesting

DMS-EPSRC：合作研究：振动冲击系统的随机动力学及其在能量收集中的应用

基本信息

批准号：
2009270
负责人：
Rachel Kuske
金额：
$ 30.02万
依托单位：
Georgia Tech Research Corporation
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2020
资助国家：
美国
起止时间：
2020-09-01 至 2024-08-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=2009270&HistoricalAwards=false
关键词：
DMS EPSRC Collaborative Research Stochastic

项目摘要

The rapid development of electronic devices, such as wearable and wireless sensors networks integrated into the Internet of Things, has created the need for efficient, environmentally-friendly energy generators capable of recharging batteries to prolong their lifespan. Vibrational energy harvesting, a process for scavenging energy from natural or forced vibrations such as structural movement or human activity, provides a promising means for this energy generation. This grant leverages a synergy between mathematical innovation and data-driven modeling, yielding transformative tools for advancing highly promising yet surprisingly complex systems for energy harvesting and targeted energy transfer. The research contributes to future economic and environmental impacts by supporting the widespread use of self-recharging wireless sensors, such as on bridges, buildings, and off-shore renewable energy generators. Powering wireless devices in health and structural safety monitoring systems will significantly reduce operation and maintenance costs associated with the wired technologies. The environmental contributions are therefore two-fold: direct, as a green energy device, and indirect through enabling effective diagnostics and prognostics in the renewable energy sector. The goals of this grant address gaps and opportunities in mathematical developments and in practical applications for impact-based engineering devices and systems with non-smooth dynamics, critical for understanding the harvesting of vibrational energy. The main research objective of this grant is to develop a universal suite of mathematical methodologies for the analysis and optimized performance of deterministic and stochastic non-smooth engineering systems. These approaches are pursued with a focus on practical engineering models of vibro-impacting energy harvesting systems and nonlinear dynamic dampers, within the broad area of targeted energy transfer. Integrating novel nonlinear, stochastic, and computational approaches with experimental and real-world data both for energy harvesting and for devices that mitigate vibration will pave new pathways for analysis-based design and model validation. Synergistic connections between analysis, computations and data-driven mathematical innovation are pursued both to drive new mathematical approaches and to obtain practical predictions for device design. This grant will also serve as an excellent cross-disciplinary training ground for the involved postdocs and graduate students.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.

电子设备的快速发展，如集成到物联网中的可穿戴和无线传感器网络，创造了对高效、环保的能源发电机的需求，这些发电机能够为电池充电以延长其使用寿命。振动能量收集是一种从自然或强迫振动（如结构运动或人类活动）中获取能量的过程，为这种能量产生提供了一种很有前途的方法。这项资助利用了数学创新和数据驱动建模之间的协同作用，产生了变革性工具，用于推进极有前途但令人惊讶的复杂系统，用于能量收集和有针对性的能量转移。该研究通过支持自充电无线传感器的广泛使用，如在桥梁、建筑物和海上可再生能源发电机上，为未来的经济和环境影响做出了贡献。为健康和结构安全监测系统中的无线设备供电将显著降低与有线技术相关的操作和维护成本。因此，对环境的贡献是双重的：直接的，作为一种绿色能源设备；间接的，通过在可再生能源领域实现有效的诊断和预测。该基金的目标是解决数学发展和具有非光滑动力学的基于冲击的工程设备和系统的实际应用中的差距和机会，这对于理解振动能量的收集至关重要。该基金的主要研究目标是开发一套通用的数学方法，用于分析和优化确定性和随机非光滑工程系统的性能。这些方法的重点是振动冲击能量收集系统和非线性动态阻尼器的实际工程模型，在目标能量传递的广泛领域内。将新的非线性、随机和计算方法与实验和现实世界的数据相结合，用于能量收集和减轻振动的设备，将为基于分析的设计和模型验证铺平新的道路。分析、计算和数据驱动的数学创新之间的协同联系是为了推动新的数学方法和获得设备设计的实际预测。这项资助也将为参与的博士后和研究生提供一个优秀的跨学科培训基地。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。