Shear wave velocity structure of Singapore revealed using microtremor observation

This report utilized a method called the Microtremor Survey Method (MSM) to estimate the subsurface soil structure of the major geology formations in Singapore. Microtremors records from 25 locations in Singapore, obtained by seven velocity sensors arranged in an array were used. The data were proce...

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書誌詳細
第一著者: Ng, Niki Jun Kai.
その他の著者: Kusnowidjaja Megawati
フォーマット: Final Year Project (FYP)
言語:English
出版事項: 2011
主題:
オンライン・アクセス:http://hdl.handle.net/10356/44520
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author Ng, Niki Jun Kai.
author2 Kusnowidjaja Megawati
author_facet Kusnowidjaja Megawati
Ng, Niki Jun Kai.
author_sort Ng, Niki Jun Kai.
collection NTU
description This report utilized a method called the Microtremor Survey Method (MSM) to estimate the subsurface soil structure of the major geology formations in Singapore. Microtremors records from 25 locations in Singapore, obtained by seven velocity sensors arranged in an array were used. The data were processed using the Spatial Auto Correlation (SPAC) method and subsequently, the soil structures were derived by inversion. Existing borehole data that are near to the locations of recordings were used as a reference for comparison for both the subsurface soil structure and 𝑉𝑆30 (average shear wave velocity up to 30m) values. 𝑉𝑆30 values were also used to classify the site according to the IBC 2006 Site Classification table. The results obtained from SPAC analysis corroborated with nearby borehole information to a large extent, except for highly variable geology formation such as the Old Alluvium. Overall, this study established the reliability and accuracy of the MSM.
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spelling ntu-10356/445202023-03-03T16:59:37Z Shear wave velocity structure of Singapore revealed using microtremor observation Ng, Niki Jun Kai. Kusnowidjaja Megawati School of Civil and Environmental Engineering DRNTU::Engineering::Civil engineering This report utilized a method called the Microtremor Survey Method (MSM) to estimate the subsurface soil structure of the major geology formations in Singapore. Microtremors records from 25 locations in Singapore, obtained by seven velocity sensors arranged in an array were used. The data were processed using the Spatial Auto Correlation (SPAC) method and subsequently, the soil structures were derived by inversion. Existing borehole data that are near to the locations of recordings were used as a reference for comparison for both the subsurface soil structure and 𝑉𝑆30 (average shear wave velocity up to 30m) values. 𝑉𝑆30 values were also used to classify the site according to the IBC 2006 Site Classification table. The results obtained from SPAC analysis corroborated with nearby borehole information to a large extent, except for highly variable geology formation such as the Old Alluvium. Overall, this study established the reliability and accuracy of the MSM. Bachelor of Engineering (Civil) 2011-06-02T03:09:38Z 2011-06-02T03:09:38Z 2011 2011 Final Year Project (FYP) http://hdl.handle.net/10356/44520 en Nanyang Technological University 119 p. application/pdf
spellingShingle DRNTU::Engineering::Civil engineering
Ng, Niki Jun Kai.
Shear wave velocity structure of Singapore revealed using microtremor observation
title Shear wave velocity structure of Singapore revealed using microtremor observation
title_full Shear wave velocity structure of Singapore revealed using microtremor observation
title_fullStr Shear wave velocity structure of Singapore revealed using microtremor observation
title_full_unstemmed Shear wave velocity structure of Singapore revealed using microtremor observation
title_short Shear wave velocity structure of Singapore revealed using microtremor observation
title_sort shear wave velocity structure of singapore revealed using microtremor observation
topic DRNTU::Engineering::Civil engineering
url http://hdl.handle.net/10356/44520
work_keys_str_mv AT ngnikijunkai shearwavevelocitystructureofsingaporerevealedusingmicrotremorobservation