Yuliantono, Fernando Dwi (2024) Analisis Ketidakpastian Model Kecepatan Gelombang Geser (Vs) dan Karakteristik Respons Tanah di Institut Teknologi Sepuluh Nopember Surabaya Menggunakan Metode Spatial Autocorrelation (SPAC) Mikrotremor dengan Konfigurasi L. Other thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Dalam lingkup geoteknik dan mitigasi bencana, pemahaman mengenai karakteristik tanah dan kecepatan gelombang geser (Vs) sangatlah penting, terutama di daerah rawan gempa. Penelitian ini berfokus pada analisis ketidakpastian model kecepatan gelombang geser (Vs) dan karakteristik respons tanah di lingkungan Institut Teknologi Sepuluh Nopember Surabaya, menggunakan metode Spatial Autocorrelation (SPAC) mikrotremor dengan konfigurasi L. Penelitian ini diharapkan dapat menjadi dasar bagi upaya mitigasi bencana dan perencanaan infrastruktur yang lebih baik sekaligus menyelidiki sejauh mana ketidakpastian model mempengaruhi hasil analisis. Ketidakpastian model seperti Best Model (BM), Average Model (AM), Upper Model (UM), dan Lower Model (LM) yang dihasilkan dari proses inversi Neighbourhood Algorithm (NA). Besar nilai ketidakpastian kecepatan gelombang geser (Vs) pada lapisan pertama paling kecil diperoleh L1, L2 dan L gabungan geofon 10 Hz secara berurutan adalah 6,11%, 5,97%, 6,35%. Pada perolehan hasil ketidakpastian model kedalaman 6,04-9,21 m. Konfigurasi L1 10 Hz, lapisan pertama memiliki nilai Vs sebesar 83,60-86,54 m/s. Sedangkan pada lapisan kedua memiliki nilai Vs sebesar 192-210 m/s. Gelombang sintetik input motion bedrock Surabaya digunakan untuk mendapatkan parameter respons tanah berupa Peak Ground Acceleration (PGA) yang menghasilkan nilai sebesar 0,29 g pada L1, lalu Pseudo Spectral Acceleration (PSA) redaman 5% yang menghasilkan nilai tertinggi sebesar 1,49 g pada L1, dan Fourier Amplitude Ratio (FAR) yang menghasilkan nilai tertinggi sebesar 2,24 yang kemudian dianalisis dengan pendekatan linear dalam domain frekuensi. Ketidakpastian model kecepatan gelombang geser (Vs) dan karakteristik respons tanah dapat disebabkan oleh berbagai faktor, termasuk variasi alami tanah seperti heterogenitas dan kondisi geologis, keterbatasan metode pengukuran seperti resolusi alat, kondisi lingkungan seperti gangguan seismik lainnya dan kondisi cuaca, asumsi dalam metode analisis seperti model matematis dan simplifikasi geometri tanah, serta proses pengolahan data yang mempengaruhi akurasi analisis.
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In the scope of geotechnical and disaster mitigation, understanding of soil characteristics and shear wave velocity (Vs) is very important, especially in earthquake-prone areas. This study focuses on the uncertainty analysis of shear wave velocity (Vs) and soil response characteristics in Institut Teknologi Sepuluh Nopember Surabaya, using Spatial Autocorrelation (SPAC) microtremor with L configuration. This study is expected to serve as a basis for disaster mitigation efforts and better infrastructure planning while investigating the extent to which model uncertainties affect the results of the analysis. Uncertainty models such as the Best Model (BM), Average Model (AM), Upper Model (UM), and Lower Model (LM) resulting from the inversion process neighborhood Algorithm (NA). The uncertainty value of shear wave velocity (Vs) in the smallest first layer obtained by L1, L2 and L combined 10 Hz geophones is 6,11%, 5,97%, 6,35%. On the acquisition of uncertainty model depth of 6.04-9,21 m. Configuration L1 10 Hz, the first layer has a Vs value of 83,60-86,54 m/s. While the second layer has a Vs value of 192-210 m/s. Synthetic wave input motion bedrock Surabaya is used to obtain soil response parameters in the form of Peak Ground Acceleration (PGA) which produces a value of 0,29 g at L1, then Pseudo Spectral Acceleration (PSA) 5% attenuation which produces the highest value of 1,49 g at L1, and Fourier Amplitude Ratio (FAR) which produces the highest value of 2,24 which is then analyzed with a linear approach in the frequency domain. Uncertainties in shear wave velocity (Vs) models and soil response characteristics can be caused by a variety of factors, including natural variations in soil such as heterogeneity and geological conditions, limitations in measurement methods such as instrument resolution, environmental conditions such as other seismic disturbances and weather conditions, assumptions in analysis methods such as mathematical models and simplification of soil geometry, and data processing processes that affect analysis accuracy.
| Item Type: | Thesis (Other) |
|---|---|
| Uncontrolled Keywords: | FAR, Ketidakpastian, PGA, PSA, Spatial Autocorrelation (SPAC), Uncertainty |
| Subjects: | Q Science > QC Physics Q Science > QE Geology Q Science > QE Geology > QE538.5 Seismic tomography; Seismic waves. Elastic waves Q Science > QE Geology > QE538.8 Earthquakes. Seismology Q Science > QE Geology > QE539.2.S4 Seismic models |
| Divisions: | Faculty of Science and Data Analytics (SCIENTICS) > Physics > 45201-(S1) Undergraduate Thesis |
| Depositing User: | FERNANDO DWI YULIANTONO |
| Date Deposited: | 14 Aug 2024 01:29 |
| Last Modified: | 14 Aug 2024 01:29 |
| URI: | http://repository.its.ac.id/id/eprint/110488 |
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