CAREER: Multi-Physics Transient Holography: A Non-Intrusive Imaging Approach for the Identification of Structural Damage in Mechanical Systems

职业:多物理场瞬态全息术:一种用于识别机械系统结构损伤的非侵入式成像方法

基本信息

  • 批准号:
    1621909
  • 负责人:
  • 金额:
    $ 50万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2015
  • 资助国家:
    美国
  • 起止时间:
    2015-08-17 至 2021-08-31
  • 项目状态:
    已结题

项目摘要

This Faculty Early Career Development (CAREER) Program project aims at advancing the state-of-the-art in non-destructive/non-intrusive imaging techniques for structural health monitoring. Structural health monitoring is a highly multidisciplinary area of engineering that investigates advanced sensing systems and data analysis methodologies to assess the integrity of structures. These monitoring systems have the potential to revolutionize the maintenance strategy for transportation systems and infrastructure by allowing frequent or continuous inspections thus ultimately increasing safety and reliability at reduced operating costs. Specifically, enabling the transition to a condition-based maintenance strategy is key to ensure the long-term sustainability of our nation infrastructures. The research explores a new concept of imaging technology that leverages and combines multiple physical principles, ranging from the mechanical to the thermal to the electromagnetic fields, yielding a highly sensitive approach able to achieve performance beyond current imaging techniques. The project will investigate the fundamental principles of this advanced imaging technology and will demonstrate its effectiveness through laboratory tests. The outcome of this research will benefit the current and future US infrastructure and transportation systems and will lay the foundations for the transition of this technology to other fields, such as medical imaging and material characterization, where highly sensitive and accurate imaging tools are enabling technologies. The approach to be investigated is based on the novel idea of multi-physics transient holography, whereby the coupled electromagnetic-thermo-acoustic response is exploited to probe the structure and detect damage. The tomographic problem, which consists in reconstructing images of the interior properties of an object by using penetrating waves, is cast in a holographic framework in order to achieve unprecedented image resolution and detection performance. The multi-physics approach will provide increased damage sensitivity while allowing a largely reduced sensing network, compared to current technologies. In order to unlock the full potential of the holographic approach, this research will also explore new technologies in areas that are complementary to image reconstruction such as data processing, mathematical modeling, and transducers development. Of particular relevance for the general field of tomographic imaging is the formulation of a new generation of multi-resolution computational models based on adaptive grids and of a novel concept of flexible skin transducer for multi-mode actuation and sensing. Dedicated software and hardware will also support the validation and performance characterization of the imaging technique via laboratory experiments.
该教师早期职业发展(CAREER)计划项目旨在推进结构健康监测的非破坏性/非侵入性成像技术的最新发展。结构健康监测是一个高度多学科的工程领域,研究先进的传感系统和数据分析方法,以评估结构的完整性。这些监控系统有可能通过允许频繁或连续的检查来彻底改变运输系统和基础设施的维护策略,从而最终以降低的运营成本提高安全性和可靠性。具体而言,实现向基于状态的维护战略的过渡是确保我国基础设施长期可持续性的关键。该研究探索了一种新的成像技术概念,该技术利用并结合了多种物理原理,从机械到热到电磁场,产生了一种高度灵敏的方法,能够实现超越当前成像技术的性能。该项目将研究这种先进成像技术的基本原理,并将通过实验室测试证明其有效性。这项研究的成果将有利于美国当前和未来的基础设施和运输系统,并将为该技术向其他领域的过渡奠定基础,例如医学成像和材料表征,其中高度敏感和准确的成像工具是使能技术。研究的方法是基于多物理场瞬态全息的新思想,从而耦合的电磁热声响应被利用来探测结构和检测损伤。层析成像的问题,其中包括在重建图像的内部属性的对象,通过使用穿透波,被投在全息框架,以实现前所未有的图像分辨率和检测性能。与现有技术相比,多物理场方法将提供更高的损伤灵敏度,同时允许大大减少传感网络。为了释放全息方法的全部潜力,这项研究还将探索与图像重建互补的新技术,如数据处理,数学建模和传感器开发。特别相关的一般领域的层析成像是制定新一代的多分辨率计算模型的基础上,自适应网格和一个新的概念,灵活的皮肤传感器的多模式驱动和传感。专用软件和硬件还将通过实验室实验支持成像技术的验证和性能表征。

项目成果

期刊论文数量(1)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Two-dimensional finite element network analysis: Formulation and static analysis of structural assemblies
二维有限元网络分析:结构组件的公式化和静态分析
  • DOI:
    10.1016/j.compstruc.2022.106784
  • 发表时间:
    2022
  • 期刊:
  • 影响因子:
    4.7
  • 作者:
    Jokar, Mehdi;Semperlotti, Fabio
  • 通讯作者:
    Semperlotti, Fabio
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Fabio Semperlotti其他文献

Dynamic properties and deep learning-based optimal design of hybrid shape-memory-alloy sandwich beams
基于动态特性和深度学习的混杂形状记忆合金夹层梁的优化设计
Traveling and standing thermoacoustic waves in solid media
  • DOI:
    10.1016/j.jsv.2019.02.029
  • 发表时间:
    2019-06-09
  • 期刊:
  • 影响因子:
  • 作者:
    Haitian Hao;Carlo Scalo;Fabio Semperlotti
  • 通讯作者:
    Fabio Semperlotti
On the geometric phase and its role in the design of elastic topological materials
几何相及其在弹性拓扑材料设计中的作用
  • DOI:
  • 发表时间:
    2024
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Mohit Kumar;Fabio Semperlotti
  • 通讯作者:
    Fabio Semperlotti
Axial-mode solid-state thermoacoustic instability: An analytical parametric study
  • DOI:
    10.1016/j.jsv.2019.115159
  • 发表时间:
    2020-03-31
  • 期刊:
  • 影响因子:
  • 作者:
    Haitian Hao;Carlo Scalo;Fabio Semperlotti
  • 通讯作者:
    Fabio Semperlotti
Nonlinear damping characteristics of shape-memory-alloy hybrid composite plates: The synergistic role of patterning and pre-straining SMA layers
形状记忆合金混合复合材料板的非线性阻尼特性:图案化和预应变 SMA 层的协同作用

Fabio Semperlotti的其他文献

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{{ truncateString('Fabio Semperlotti', 18)}}的其他基金

Nonlocal Elastic Metamaterials: Leveraging Intentional Nonlocality to Design Programmable Structures
非局域弹性超材料:利用有意的非局域性来设计可编程结构
  • 批准号:
    2330957
  • 财政年份:
    2024
  • 资助金额:
    $ 50万
  • 项目类别:
    Standard Grant
Collaborative Research: Health Monitoring and System Identification of Complex Mechanical Systems Using Fractional-Order Calculus Modeling
合作研究:使用分数阶微积分建模复杂机械系统的健康监测和系统识别
  • 批准号:
    1825837
  • 财政年份:
    2018
  • 资助金额:
    $ 50万
  • 项目类别:
    Standard Grant
Acoustic Field Transport in Periodic and Disordered Metamaterials: a Fractional-order Continuum Approach.
周期性和无序超材料中的声场传输:分数阶连续体方法。
  • 批准号:
    1761423
  • 财政年份:
    2018
  • 资助金额:
    $ 50万
  • 项目类别:
    Standard Grant
CAREER: Multi-Physics Transient Holography: A Non-Intrusive Imaging Approach for the Identification of Structural Damage in Mechanical Systems
职业:多物理场瞬态全息术:一种用于识别机械系统结构损伤的非侵入式成像方法
  • 批准号:
    1453330
  • 财政年份:
    2015
  • 资助金额:
    $ 50万
  • 项目类别:
    Standard Grant
Collaborative Research: Frequency Selective Structures for High Sensitivity/High Resolution Damage Identification via Impediographic Tomography
合作研究:通过阻抗成像技术进行高灵敏度/高分辨率损伤识别的频率选择结构
  • 批准号:
    1232423
  • 财政年份:
    2012
  • 资助金额:
    $ 50万
  • 项目类别:
    Standard Grant

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