Micro-Fluid-Structural Sensing Based on Sensitivity Vector Fields and Morphing Modes Created by Nonlinear Feedback Excitation
基于非线性反馈激励产生的灵敏度矢量场和变形模式的微流结构传感
基本信息
- 批准号:0625011
- 负责人:
- 金额:$ 19.59万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2006
- 资助国家:美国
- 起止时间:2006-10-01 至 2012-09-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
This research develops the next generation of high-sensitivity micro-fluid-structural sensors and enables radically novel sensing capabilities. The focus applications are bio-detection, label-free bio-chemical analysis, the measurement of micro-mechanical properties, the identification and characterization of micro-fluid-structural phenomena, and homeland defense applications. The novel sensing techniques developed are based on nonlinear vibrations by identifying and exploiting attractor and bifurcation morphing modes, and sensitivity vector fields, and by applying innovative pattern recognition methods to characterize attractor shapes. Also, this research raises the sensitivity of vibration- and acoustic-based sensors by enhancing nonlinearities and exploiting micro-fluid-structure interaction phenomena. Fundamentally novel sensing capabilities are created, which provide high sensitivity, adaptivity, robustness, as well as multi-functional sensing capabilities. This research has broader impacts as it makes significant contributions to the field of structural dynamics, and has immediate potential impact because it addresses important problems in bio-detection, medical technologies, and homeland defense. Hence, this research is a potential benefit to society at large, and is strengthened by a broad dissemination to enhance scientific understanding.
本研究开发了下一代高灵敏度微流体结构传感器,并实现了全新的传感能力。重点应用是生物检测、无标签生化分析、微力学性能测量、微流体结构现象的识别和表征以及国土防御应用。新的传感技术是基于非线性振动,通过识别和利用吸引子和分岔变形模式,以及灵敏度向量场,并通过创新的模式识别方法来表征吸引子形状。此外,本研究通过增强非线性和利用微流固耦合现象,提高了基于振动和声学的传感器的灵敏度。从根本上说,新的传感能力被创造出来,它提供了高灵敏度、自适应性、鲁棒性以及多功能传感能力。本研究具有广泛的影响,因为它对结构动力学领域做出了重大贡献,并且具有直接的潜在影响,因为它解决了生物检测,医疗技术和国土防御方面的重要问题。因此,这项研究对整个社会都有潜在的好处,并通过广泛传播来加强科学理解。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Bogdan Epureanu其他文献
Data-driven bifurcation analysis using parameter-dependent trajectories
- DOI:
10.1016/j.ijnonlinmec.2024.104937 - 发表时间:
2025-01-01 - 期刊:
- 影响因子:
- 作者:
Jesús García Pérez;Leonardo Sanches;Amin Ghadami;Guilhem Michon;Bogdan Epureanu - 通讯作者:
Bogdan Epureanu
Enhancing strategic decision-making in differential games through bifurcation prediction
- DOI:
10.1038/s41598-024-75848-6 - 发表时间:
2024-11-22 - 期刊:
- 影响因子:3.900
- 作者:
Jesús García Pérez;Bogdan Epureanu - 通讯作者:
Bogdan Epureanu
Contact model identification for friction ring dampers in blisks with reduced order modeling
- DOI:
10.1016/j.ijnonlinmec.2019.103374 - 发表时间:
2020-04-01 - 期刊:
- 影响因子:
- 作者:
Seunghun Baek;Bogdan Epureanu - 通讯作者:
Bogdan Epureanu
Bogdan Epureanu的其他文献
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{{ truncateString('Bogdan Epureanu', 18)}}的其他基金
Anticipating Bifurcations for Identifying Dynamic Characteristics of Nonlinear Systems
预测分岔以识别非线性系统的动态特性
- 批准号:
1334908 - 财政年份:2013
- 资助金额:
$ 19.59万 - 项目类别:
Standard Grant
Complex Bio-Nano-Dynamics of Motor Proteins in Dynamically Controlled Fluids
动态控制流体中运动蛋白的复杂生物纳米动力学
- 批准号:
1161874 - 财政年份:2012
- 资助金额:
$ 19.59万 - 项目类别:
Standard Grant
Cooperative Nonlinear Dynamics of Motor Proteins
运动蛋白的协同非线性动力学
- 批准号:
0800202 - 财政年份:2008
- 资助金额:
$ 19.59万 - 项目类别:
Standard Grant
CAREER: Next-Generation High-Sensitivity Damage Detection and Sensing Based on Enhancing Nonlinear Dynamics and Phase Space Pattern Recognition
职业:基于增强非线性动力学和相空间模式识别的下一代高灵敏度损伤检测和传感
- 批准号:
0347327 - 财政年份:2004
- 资助金额:
$ 19.59万 - 项目类别:
Standard Grant
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