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Efficiency of scattering algorithm with overset grid generation for detection of buried object

The safety of building and civil structures affected by seismic waves emanating from the earthquakes has always been of concern to the general public. Post-hazard assessments must be conducted to ensure the integrity of the affected buildings, infrastructures and lands before continuing usage. Exten...

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Main Authors: Deanne, anak Edwin, Shafrida, binti Sahrani, Kismet, anak Hong Ping
Format: Conference or Workshop Item
Language:English
Published: Institute of Electrical and Electronics Engineers Inc. 2018
Subjects:
TA Engineering (General). Civil engineering (General)
Online Access:http://ir.unimas.my/id/eprint/20290/1/Efficiency%20of%20scattering%20algorithm%20with%20overset%20grid%20generation%20for%20detection%20of%20buried%20object%20%28abstract%29.pdf
http://ir.unimas.my/id/eprint/20290/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85044735691&doi=10.1109%2fAPMC.2017.8251375&partnerID=40&md5=9936da6df3c396c5d1845cca285c0fce
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spelling my.unimas.ir.202902019-07-23T02:43:13Z http://ir.unimas.my/id/eprint/20290/ Efficiency of scattering algorithm with overset grid generation for detection of buried object Deanne, anak Edwin Shafrida, binti Sahrani Kismet, anak Hong Ping TA Engineering (General). Civil engineering (General) The safety of building and civil structures affected by seismic waves emanating from the earthquakes has always been of concern to the general public. Post-hazard assessments must be conducted to ensure the integrity of the affected buildings, infrastructures and lands before continuing usage. Extensive research on damage detection of buildings and civil structures has recently been performed. However, it remains a significant problem and yields an unpredictable outcome as in most cases the results from a certain method applied to one structure are not valid for other structures. The Forward-Backward Time-Stepping (FBTS) technique utilizing Finite-Difference Time-Domain (FDTD) method and Overset Grid Generation (OGG) method is proposed to solve the problem. This paper investigates the accuracy of the proposed method by the analysis with various ratio of grid size between the main mesh and sub mesh. The signal analysis is carried out for inverse scattering with empty grid that overlapped on the main mesh. It is shown that the smaller grids give more accuracy for the results. © 2017 IEEE. Institute of Electrical and Electronics Engineers Inc. 2018-01-08 Conference or Workshop Item PeerReviewed text en http://ir.unimas.my/id/eprint/20290/1/Efficiency%20of%20scattering%20algorithm%20with%20overset%20grid%20generation%20for%20detection%20of%20buried%20object%20%28abstract%29.pdf Deanne, anak Edwin and Shafrida, binti Sahrani and Kismet, anak Hong Ping (2018) Efficiency of scattering algorithm with overset grid generation for detection of buried object. In: Microwave Conference (APMC), 2017 IEEE Asia Pacific, 13-16 Nov. 2017, Kuala Lumpar, Malaysia .. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85044735691&doi=10.1109%2fAPMC.2017.8251375&partnerID=40&md5=9936da6df3c396c5d1845cca285c0fce DOI: 10.1109/APMC.2017.8251375
institution Universiti Malaysia Sarawak
building Centre for Academic Information Services (CAIS)
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sarawak
content_source UNIMAS Institutional Repository
url_provider http://ir.unimas.my/
language English
topic TA Engineering (General). Civil engineering (General)
spellingShingle TA Engineering (General). Civil engineering (General)
Deanne, anak Edwin
Shafrida, binti Sahrani
Kismet, anak Hong Ping
Efficiency of scattering algorithm with overset grid generation for detection of buried object
description The safety of building and civil structures affected by seismic waves emanating from the earthquakes has always been of concern to the general public. Post-hazard assessments must be conducted to ensure the integrity of the affected buildings, infrastructures and lands before continuing usage. Extensive research on damage detection of buildings and civil structures has recently been performed. However, it remains a significant problem and yields an unpredictable outcome as in most cases the results from a certain method applied to one structure are not valid for other structures. The Forward-Backward Time-Stepping (FBTS) technique utilizing Finite-Difference Time-Domain (FDTD) method and Overset Grid Generation (OGG) method is proposed to solve the problem. This paper investigates the accuracy of the proposed method by the analysis with various ratio of grid size between the main mesh and sub mesh. The signal analysis is carried out for inverse scattering with empty grid that overlapped on the main mesh. It is shown that the smaller grids give more accuracy for the results. © 2017 IEEE.
format Conference or Workshop Item
author Deanne, anak Edwin
Shafrida, binti Sahrani
Kismet, anak Hong Ping
author_facet Deanne, anak Edwin
Shafrida, binti Sahrani
Kismet, anak Hong Ping
author_sort Deanne, anak Edwin
title Efficiency of scattering algorithm with overset grid generation for detection of buried object
title_short Efficiency of scattering algorithm with overset grid generation for detection of buried object
title_full Efficiency of scattering algorithm with overset grid generation for detection of buried object
title_fullStr Efficiency of scattering algorithm with overset grid generation for detection of buried object
title_full_unstemmed Efficiency of scattering algorithm with overset grid generation for detection of buried object
title_sort efficiency of scattering algorithm with overset grid generation for detection of buried object
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2018
url http://ir.unimas.my/id/eprint/20290/1/Efficiency%20of%20scattering%20algorithm%20with%20overset%20grid%20generation%20for%20detection%20of%20buried%20object%20%28abstract%29.pdf
http://ir.unimas.my/id/eprint/20290/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85044735691&doi=10.1109%2fAPMC.2017.8251375&partnerID=40&md5=9936da6df3c396c5d1845cca285c0fce
_version_ 1644513238556082176
score 13.211869

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