Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/15934
Title: Numerical analysis in structural identification by smart material
Authors: Natalia, Eva
Keywords: DRNTU::Engineering::Civil engineering::Structures and design
Issue Date: 2009
Abstract: 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.
URI: http://hdl.handle.net/10356/15934
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:CEE Student Reports (FYP/IA/PA/PI)

Files in This Item:
File Description SizeFormat 
EVANATALIA09.pdf
  Restricted Access
1.79 MBAdobe PDFView/Open

Page view(s)

521
checked on Sep 30, 2020

Download(s)

3
checked on Sep 30, 2020

Google ScholarTM

Check

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.