Numerical analysis in structural identification by smart material

The advent of smart materials such as lead zirconate titanate (PZT) has been a popular choice in the field of structural health monitoring (SHM) based on non-destructive evaluation (NDE). It provides advantages such as autonomous, real-time and online, remote monitoring could provide a cost-effectiv...

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Main Author: Natalia, Eva
Other Authors: Soh Chee Kiong
Format: Final Year Project
Language:English
Published: 2009
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Online Access:http://hdl.handle.net/10356/15934
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-159342023-03-03T17:26:03Z Numerical analysis in structural identification by smart material Natalia, Eva Soh Chee Kiong School of Civil and Environmental Engineering DRNTU::Engineering::Civil engineering::Structures and design The advent of smart materials such as lead zirconate titanate (PZT) has been a popular choice in the field of structural health monitoring (SHM) based on non-destructive evaluation (NDE). It provides advantages such as autonomous, real-time and online, remote monitoring could provide a cost-effective and reliable alternative to the conventional SHM techniques. This is very useful in civil engineering where the structures monitored are generally big and has numerous inaccessible locations. In this project, investigations on Electro-Mechanical Impedance (EMI) technique employing PZT, which aims to predict structure’s health, were conducted numerically using Finite Element Method (FEM) with software ANSYS 11.0. The resulting admittance is compared to the experimental counterparts. This project conducted modeling of freely suspended PZT patch for frequency range up to 1000 kHz to understand PZT behavior, dynamic interactions between structures and PZT up to 400 kHz, and comparison of admittance signatures from modeling of PZT and structure interaction with and without presence of bonding element. Structural and PZT’s resonance peaks were well predicted. 0.2mm element size was optimal enough for freely suspended PZT patch, and 0.833mm element size could predict quite accurately interaction between structure and PZT. Explanations were presented to describe unpredicted modal frequencies and difference in actual and predicted peak magnitudes. Bachelor of Engineering (Civil) 2009-05-19T06:03:22Z 2009-05-19T06:03:22Z 2009 2009 Final Year Project (FYP) http://hdl.handle.net/10356/15934 en Nanyang Technological University 57 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Civil engineering::Structures and design
spellingShingle DRNTU::Engineering::Civil engineering::Structures and design
Natalia, Eva
Numerical analysis in structural identification by smart material
description The advent of smart materials such as lead zirconate titanate (PZT) has been a popular choice in the field of structural health monitoring (SHM) based on non-destructive evaluation (NDE). It provides advantages such as autonomous, real-time and online, remote monitoring could provide a cost-effective and reliable alternative to the conventional SHM techniques. This is very useful in civil engineering where the structures monitored are generally big and has numerous inaccessible locations. In this project, investigations on Electro-Mechanical Impedance (EMI) technique employing PZT, which aims to predict structure’s health, were conducted numerically using Finite Element Method (FEM) with software ANSYS 11.0. The resulting admittance is compared to the experimental counterparts. This project conducted modeling of freely suspended PZT patch for frequency range up to 1000 kHz to understand PZT behavior, dynamic interactions between structures and PZT up to 400 kHz, and comparison of admittance signatures from modeling of PZT and structure interaction with and without presence of bonding element. Structural and PZT’s resonance peaks were well predicted. 0.2mm element size was optimal enough for freely suspended PZT patch, and 0.833mm element size could predict quite accurately interaction between structure and PZT. Explanations were presented to describe unpredicted modal frequencies and difference in actual and predicted peak magnitudes.
author2 Soh Chee Kiong
author_facet Soh Chee Kiong
Natalia, Eva
format Final Year Project
author Natalia, Eva
author_sort Natalia, Eva
title Numerical analysis in structural identification by smart material
title_short Numerical analysis in structural identification by smart material
title_full Numerical analysis in structural identification by smart material
title_fullStr Numerical analysis in structural identification by smart material
title_full_unstemmed Numerical analysis in structural identification by smart material
title_sort numerical analysis in structural identification by smart material
publishDate 2009
url http://hdl.handle.net/10356/15934
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