CAREER: Nonlinear Resonances of Highly Damped, Soft Materials
职业:高阻尼软材料的非线性共振
基本信息
- 批准号:2145512
- 负责人:
- 金额:$ 67.16万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2022
- 资助国家:美国
- 起止时间:2022-06-01 至 2027-05-31
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
This Faculty Early Career Development Program (CAREER) grant promotes the progress of science and advances the national health through research that enables an improved understanding of impact and vibration-induced damage in highly damped, soft materials, for example, human brain tissue, thereby paving the way for improved diagnosis of pathologies and design of protective devices. Soft materials are found across a variety of engineering domains, ranging from elastomeric dampers in aerospace applications to compliant robotic devices designed for wearability. Traditional techniques for characterizing the response of material structures to dynamic loading fail for soft materials due to the combined effects of large deformations and complex material behaviors. In contrast, the experimental and theoretical framework developed in this project will focus precisely on resonant conditions that produce significant material deformations and activate the strongest dissipative and nonlinear forces. This framework will generate new insights into the occurrence of localized damage in soft materials, for example during transient loading events such as sudden impacts. These insights will be particularly transformative for structural health monitoring of soft structures, including biological systems such as human organs. Project outcomes have the potential to inform research in the biomechanics of traumatic brain injury, one of the leading causes of death and disability among children and adolescents in the US. A closely integrated research and education plan will excite student engagement in STEM through curriculum development, outreach workshops on helmet design, and digital arts exhibits. A dedicated effort to increase participation from the LGBTQ+ community, where a STEM visibility and underrepresentation problem currently exists, includes annual events, workshops, and mentoring networks. This research aims to make fundamental contributions to a modeling and system identification framework for characterizing the deformation response of highly damped, soft materials to steady-state and transient loading, with particular emphasis on deformation localization and damage in heterogeneous, membranous material systems. It achieves this aim by analyzing amplitude resonance backbones in models of highly damped, soft material systems with complex, distributed internal forces, studying the correspondence between such amplitude resonances and the transient impact response, and validating these predictions using magnetic resonance imaging of silicone phantoms representing biological tissue. An efficient computational framework will be developed to enable parameter continuation of amplitude resonance backbones for large-scale models using an innovative combination of the method of harmonic balance, finite-element simulations, and a novel Bayesian Fourier Neural Operator-based machine learning technique. Computational modeling of real-world head impacts will be used to determine the relationship between amplitude resonance backbones and impact-induced strain localization patterns in the human brain.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.
这项教师早期职业发展计划(Career)资助促进了科学的进步,并通过研究促进了国民健康,使人们能够更好地理解高阻尼、软材料(例如人脑组织)的冲击和振动引起的损伤,从而为改进病理诊断和设计保护装置铺平了道路。软材料在各种工程领域都有应用,从航空航天应用中的弹性阻尼器到为可穿戴性设计的柔性机器人设备。由于软质材料的大变形和复杂的材料性能的综合影响,表征材料结构对动载荷响应的传统技术失效了。相比之下,本项目中开发的实验和理论框架将精确地关注产生显著材料变形并激活最强耗散和非线性力的共振条件。该框架将对软材料局部损伤的发生产生新的见解,例如在瞬态加载事件(如突然撞击)期间。这些见解对于软性结构(包括人体器官等生物系统)的结构健康监测尤其具有变革性。创伤性脑损伤是美国儿童和青少年死亡和残疾的主要原因之一,项目成果有可能为创伤性脑损伤的生物力学研究提供信息。一个紧密结合的研究和教育计划将通过课程开发、头盔设计外展研讨会和数字艺术展览激发学生对STEM的参与。致力于增加LGBTQ+社区的参与,其中包括年度活动,研讨会和指导网络,目前存在STEM可见性和代表性不足的问题。本研究旨在为建模和系统识别框架做出基础贡献,以表征高阻尼软材料对稳态和瞬态载荷的变形响应,特别强调非均质膜状材料系统的变形局部化和损伤。通过分析具有复杂分布内力的高阻尼软材料系统模型中的振幅共振骨干,研究这种振幅共振与瞬态冲击响应之间的对应关系,并使用代表生物组织的硅酮幻影的磁共振成像验证这些预测,该研究实现了这一目标。将开发一个有效的计算框架,利用谐波平衡方法、有限元模拟和基于贝叶斯傅立叶神经算子的新型机器学习技术的创新组合,实现大规模模型的振幅共振骨干的参数延拓。真实世界头部撞击的计算模型将用于确定振幅共振骨干与人脑中撞击引起的应变定位模式之间的关系。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。
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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Mehmet Kurt其他文献
Antik Lykaonia Kentlerinin İnşa Faliyetlerinde ve Sosyal Hayatında Euergesia Olgusu
Antik Lykaonia Kentlerinin Inşa Faliyetlerinde ve Sosyal Hayatında Euergesia Olgusu
- DOI:
10.33469/oannes.1412978 - 发表时间:
2024 - 期刊:
- 影响因子:0
- 作者:
Mehmet Kurt - 通讯作者:
Mehmet Kurt
Diabet diagnosis with support vector machines and multi layer perceptron
使用支持向量机和多层感知器进行糖尿病诊断
- DOI:
10.1109/ebbt.2017.7956757 - 发表时间:
2017 - 期刊:
- 影响因子:0
- 作者:
Mehmet Kurt;T. Ensari - 通讯作者:
T. Ensari
Direct detection of nonlinear modal interactions from time series measurements
从时间序列测量中直接检测非线性模态相互作用
- DOI:
10.1016/j.ymssp.2017.09.010 - 发表时间:
2017 - 期刊:
- 影响因子:8.4
- 作者:
K. Moore;Mehmet Kurt;M. Eriten;D. McFarland;L. Bergman;A. Vakakis - 通讯作者:
A. Vakakis
Time-series-based nonlinear system identification of strongly nonlinear attachments
基于时间序列的强非线性附件非线性系统辨识
- DOI:
10.1016/j.jsv.2018.09.033 - 发表时间:
2019 - 期刊:
- 影响因子:4.7
- 作者:
K. Moore;Mehmet Kurt;M. Eriten;D. McFarland;L. Bergman;A. Vakakis - 通讯作者:
A. Vakakis
Increased Hindbrain Motion in Chiari Malformation I Patients Measured Through 3D Amplified MRI (3D aMRI)
通过 3D 放大 MRI (3D aMRI) 测量 Chiari 畸形 I 患者后脑运动增加
- DOI:
- 发表时间:
2022 - 期刊:
- 影响因子:0
- 作者:
Javid Abderezaei;A. Pionteck;Ya;Alejandro Carrasquilla;Gizem Bilgili;Tse;Itamar Terem;Miriam Scadeng;Patrick Fillingham;Peter Morgenstern;Michael R. Levitt;G. Richard;Ellenbogen;Yang Yang;Samantha J. Holdsworth;Raj K Shrivastava;Mehmet Kurt - 通讯作者:
Mehmet Kurt
Mehmet Kurt的其他文献
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{{ truncateString('Mehmet Kurt', 18)}}的其他基金
Collaborative Research: Mechanical Characterization of Bio-Interfaces by Shear Wave Scattering
合作研究:通过剪切波散射对生物界面进行机械表征
- 批准号:
2225156 - 财政年份:2022
- 资助金额:
$ 67.16万 - 项目类别:
Standard Grant
LEAP-HI: Tackling Brain Diseases with Mechanics: A Data-Driven Approach to Merge Advanced Neuroimaging and Multi-Physics Modeling
LEAP-HI:用力学解决脑部疾病:一种融合先进神经成像和多物理场建模的数据驱动方法
- 批准号:
2227232 - 财政年份:2022
- 资助金额:
$ 67.16万 - 项目类别:
Standard Grant
LEAP-HI: Tackling Brain Diseases with Mechanics: A Data-Driven Approach to Merge Advanced Neuroimaging and Multi-Physics Modeling
LEAP-HI:用力学解决脑部疾病:一种融合先进神经成像和多物理场建模的数据驱动方法
- 批准号:
1953323 - 财政年份:2020
- 资助金额:
$ 67.16万 - 项目类别:
Standard Grant
Collaborative Research: Mechanical Characterization of Bio-Interfaces by Shear Wave Scattering
合作研究:通过剪切波散射对生物界面进行机械表征
- 批准号:
1826270 - 财政年份:2018
- 资助金额:
$ 67.16万 - 项目类别:
Standard Grant
Collaborative Research: A New Nonlinear Modal Updating Framework for Soft, Hydrated Materials
协作研究:用于软水合材料的新型非线性模态更新框架
- 批准号:
1728186 - 财政年份:2017
- 资助金额:
$ 67.16万 - 项目类别:
Standard Grant
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