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3D frequency selective surfaces for structural health monitoring systems

Master of Science in Communication Engineering

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Bibliographic Details
Main Author: Syaiful Anas, Suhaimi
Other Authors: Saidatul Norlyana, Azemi, Dr.
Format: Thesis
Language:English
Published: Universiti Malaysia Perlis (UniMAP) 2017
Subjects:
Three-dimensional imaging
3D Frequency Selective Surfaces
Frequency Selective Surfaces (FSS)
Online Access:http://dspace.unimap.edu.my:80/xmlui/handle/123456789/72606
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spelling my.unimap-726062023-03-06T00:55:40Z 3D frequency selective surfaces for structural health monitoring systems Syaiful Anas, Suhaimi Saidatul Norlyana, Azemi, Dr. Three-dimensional imaging 3D Frequency Selective Surfaces Frequency Selective Surfaces (FSS) Master of Science in Communication Engineering The research work in this dissertation mainly highlighted to the study of capability 3D Frequency Selective Surfaces to act as a sensor in structure monitoring. A new type of three-dimensional (3D) Frequency Selective Surfaces (FSS) applied for passive sensing in Structural Health Monitoring (SHM) is presented. Square shape FSS are chosen in this research which it able to govern the sensitivity of frequency response. Moreover, these FSSs are modified in a 3D form to feature enhanced performance compared to conventional FSSs and sensors. More specifically, the proposed 3D FSS is able to control its sensitivity |S21| in either TE or TM incident waves. In this research, incident angle characteristics are evaluated for SHM application to obtain angular responses of up to 80 degrees. The resonant behavior of the TE-incident wave is shown to be sensitive towards the incident angle and is suitable to be used for monitoring any building tilting and damages. This is due to the significant 3D length hanges of the conductor elements. Meanwhile, the TM-incident wave is found to be insensitive (frequency operation not shifting) towards the incident angle. There have some novelty have been introduced in this work such 3D FSS give an extra advantage to perform as a passive sensor and equation for relation between frequency response and incident angle are derived. 2017 2021-10-22T03:46:11Z 2021-10-22T03:46:11Z Thesis http://dspace.unimap.edu.my:80/xmlui/handle/123456789/72606 en Universiti Malaysia Perlis (UniMAP) Universiti Malaysia Perlis (UniMAP) School of Computer and Communication Engineering
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Three-dimensional imaging
3D Frequency Selective Surfaces
Frequency Selective Surfaces (FSS)
spellingShingle Three-dimensional imaging
3D Frequency Selective Surfaces
Frequency Selective Surfaces (FSS)
Syaiful Anas, Suhaimi
3D frequency selective surfaces for structural health monitoring systems
description Master of Science in Communication Engineering
author2 Saidatul Norlyana, Azemi, Dr.
author_facet Saidatul Norlyana, Azemi, Dr.
Syaiful Anas, Suhaimi
format Thesis
author Syaiful Anas, Suhaimi
author_sort Syaiful Anas, Suhaimi
title 3D frequency selective surfaces for structural health monitoring systems
title_short 3D frequency selective surfaces for structural health monitoring systems
title_full 3D frequency selective surfaces for structural health monitoring systems
title_fullStr 3D frequency selective surfaces for structural health monitoring systems
title_full_unstemmed 3D frequency selective surfaces for structural health monitoring systems
title_sort 3d frequency selective surfaces for structural health monitoring systems
publisher Universiti Malaysia Perlis (UniMAP)
publishDate 2017
url http://dspace.unimap.edu.my:80/xmlui/handle/123456789/72606
_version_ 1772813061694947328
score 13.222552

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