Identifikasi Bawah Permukaan Tanggul Lumpur Sidoarjo (LUSI) Menggunakan Metode Multichannel Analysis Of Surface Waves (MASW)

Wardana, Yoseph Wahyu Saputra Wisnu (2016) Identifikasi Bawah Permukaan Tanggul Lumpur Sidoarjo (LUSI) Menggunakan Metode Multichannel Analysis Of Surface Waves (MASW). Undergraduate thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Metode pengukuran dan analisis multichannel analysis of
surface wave (MASW) mampu digunakan untuk estimasi kurva
dispersi mode jamak. Metode ini diterapkan untuk mengetahui
kecepatan gelombang geser bawah permukaan tanggul LUSI
melalui proses inversi. Proses inversi ini dilakukan menggunakan
algoritma regressive-regressive particle swarm optimization (RRPSO).
Analisis mode dasar dari kurva dispersi pada beberapa
lintasan di tanggul LUSI menunjukkan bahwa pada tanggul P76-
P77 ditemukan anomali Patahan Watukosek pada kedalaman
sekitar 40 meter, dan juga pada tanggul P79-P82 ditemukan
anomali yang memiliki potensi untuk menyebabkan penurunan
tanah.
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The method and analysis of multichannel analysis of
surface wave (MASW) is able to estimate the dispersion curves.
This method is applied to determine the shear wave velocity of
subsurface embankment LUSI through an inversion process. This
inversion process is using an algorithm regressive-regressive
particle swarm optimization (RR-PSO). Analysis of the basic
mode of the dispersion curve on some path on the LUSI
embankment show that in P76-P77 found anomalies Watukosek
Fault at a depth of about 40 meters,and also on the embankment
P79-P82 found anomalies which have the potential for causing
subsidence.

Item Type: Thesis (Undergraduate)
Additional Information: RSFi 531.113 3 War i
Uncontrolled Keywords: Dispersi gelombang rayleigh; MASW; LUSI
Subjects: Q Science > QC Physics > QC446.3.H37 Harmonics (Electric waves)
Divisions: Faculty of Mathematics and Science > Physics > 45201-(S1) Undergraduate Thesis
Depositing User: ansi aflacha
Date Deposited: 17 Apr 2020 03:11
Last Modified: 17 Apr 2020 03:11
URI: http://repository.its.ac.id/id/eprint/75823

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