Meta-Surface Design Optimization for Controlling the Surface Waves Propagation
Meta-Surface Design Optimization for Controlling the Surface Waves Propagation
批准号:
1934527
负责人:
Parisa Shokouhi
金额:
$64.12万
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
项目状态:
已结题
起止时间:
2020-01-01 至 2024-12-31
中文摘要
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英文摘要
This project will promote the progress of science and advance the national security and welfare, by generating new fundamental knowledge on the control of surface wave motion. Surface waves (e.g., vibration) are generated by natural and human-made sources, such as earthquakes, explosions, traffic and construction operations. Many electronics also use the principles of surface wave propagation inside the devices. The ability to control surface wave motion has broad implications across length scales: from design of miniature electronic devices to earthquake or vibration isolation of critical structures. This award supports fundamental research needed to purposefully control the propagation of surface waves by modifying the surface conditions to reflect or divert wave energy. This project will provide multi-disciplinary training and career preparation for participating graduate students. The research team will incorporate the methods and findings of the research into graduate and undergraduate courses, as well as secondary level teaching at K-12 schools in Pennsylvania and across the country through a collaboration with the Center for Science and the Schools (CSATS).The project presents a novel approach for controlling surface wave motion based on a fundamental study of the boundary conditions' influence on the surface wave propagation. This enables implementation of a rational design philosophy for meta-surfaces to control Rayleigh surface waves. The boundary-condition (BC) based strategy will be implemented in order to create a resonant meta-surface to minimize the transmitted energy in a prescribed frequency bandwidth to a particular location. An optimization procedure will be developed to find the optimal resonator topology such that the desired BCs are satisfied and to determine the resonator spacing. A method to broaden the frequency stopband will be tested. This approach is fundamentally different from the commonly used frequency tuning and parametric design process. Since the BCs are frequency-independent, the new approach is transportable across length scales.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.
期刊论文(7)
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DOI:
10.1063/5.0042576
发表时间:
2021-03-07
期刊:
JOURNAL OF APPLIED PHYSICS
影响因子:
3.2
作者:
[Lissenden, Cliff J., Hakoda, Christopher N., Shokouhi, Parisa]
通讯作者:
Shokouhi, Parisa
DOI:
10.1016/j.jsv.2022.116931
发表时间:
2022-04
期刊:
Journal of Sound and Vibration
影响因子:
4.7
作者:
[L. Pillarisetti;C. Lissenden;P. Shokouhi]
通讯作者:
L. Pillarisetti;C. Lissenden;P. Shokouhi
DOI:
10.1115/detc2021-69498
发表时间:
2021
期刊:
47th Design Automation Conference (DAC
影响因子:
--
作者:
[Giraldo-Guzmán, Daniel, Lissenden, Clifford, Shokouhi, Parisa, Frecker, Mary]
通讯作者:
Frecker, Mary
DOI:
10.1063/5.0093083
发表时间:
2022-10
期刊:
Journal of Applied Physics
影响因子:
3.2
作者:
[L. Pillarisetti;C. Lissenden;P. Shokouhi]
通讯作者:
L. Pillarisetti;C. Lissenden;P. Shokouhi
Topology Optimization Design of Resonant Structures Based on Antiresonance Eigenfrequency Matching Informed by Harmonic Analysis
基于谐波分析的反谐振特征频率匹配的谐振结构拓扑优化设计
DOI:
10.1115/1.4062882
发表时间:
2023
期刊:
Journal of Mechanical Design
影响因子:
3.3
作者:
[Giraldo Guzman, Daniel, Lissenden, Clifford, Shokouhi, Parisa, Frecker, Mary]
通讯作者:
Frecker, Mary
共 6 条
MCA: Physics-Informed Machine Learning from Acoustic Data
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批准号:2121005
-
项目类别:Standard Grant
-
资助金额:$36.23万
-
财政年份:2022
-
负责人:Parisa Shokouhi
-
依托单位:
国内基金
海外基金
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负责人:姬忠庆
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全空间中临界Surface Quasi-geostrophic方程的全局吸引子及其分形维数
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批准年份:2014
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负责人:王明
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批准号:50765008
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负责人:任靖日
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依托单位: