Syihabuddin, Ahmad Adhim (2020) Analisis Kerentanan Bangunan Berdasarkan Data Mikrotremor Studi Kasus : PT. Solusi Bangun Indonesia Tuban Plant. Undergraduate thesis, InstitutTeknologi Sepuluh Nopember.
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Abstract
Analisis mikrotremor merupakan salah satu metode dalam memprediksi bahaya gempa bumi pada sturuk suatu bangunan. Penentuan analisa bahaya dilakukan dengan pengukuran frekuensi natural tanah dan bangunan,jika frekuensi natural tanah sama dengan bangunan akan menyebabkan resonansi. Metode FSR (Floor Spectra Ratio) yaitu dengan membagi antara frekuensi hasil analisa spektrum horisontal bangunan dengan analisa spektrum horisontal tanah sekitarnya. Metode ini berfungsi memperkirakan fungsi transfer pada bangunan (amplifikasi,frekuensi natural dan indek kerentanan). Metode Random decrement digunakan untuk menentukan karakteristik dinamik bangunan ( rasio redaman dan frekuensi).
Hasil penelitian di pabrik semen SBI, hubungan antara FSR dan RDM memiliki nilai korelasi R = 0.9424. Hasil rasio redaman yang dihasilkan dari validasi frekuensi natural yang ada pada FSR dan RDM adalah akurat. Hasil penelitian menghasilkan nilai frekuensi natural FSR antara 0.58-1.95 Hz. Hasil resonansi bangunan pada area penelitian menunjukan nilai 51.77-85.87% dan termasuk dalam tingkat yang rendah. Bangunan PT SBI mengindikasikan bahwa sulit terjadi beresonansi ketika gempa menjalar dibawah bangunan. Analisa indeks kerentanan bangunan menunjukan bahwa bangunan OHS memiliki indeks kerentanan tertinggi dengan nilai rata-rata 823.73, sehingga bangunan ini lemah jika terjadi kerusakan gempa. Bangunan PH merupakan bangunan yang kuat jika terjadi gempa bumi. Bangunan ini memiliki indeks kerentanan terkecil dengan rata-rata 28.62. Hubungan antara redaman dengan indeks kerentanan menghasilkan hubungan grafik non linier, mengindikasikan bahwa indeks kerentanan yang tinggi, maka rasio redaman yang didapat memiliki nilai yang kecil.
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Microtremor analysis is one method in predicting earthquake hazards in a building. Determination of hazard analysis is done by measuring the natural frequency of land and buildings,if the natural frequency of the ground is the same as buildings it will cause resonance. FSR (Floor Spectra Ratio) method is to divide the frequency between the results of the horizontal spectrum analysis of buildings and the analysis of the horizontal spectrum of the surrounding land. This method functions to estimate the transfer function in buildings (amplification, natural frequency and vulnerability index). Random decrement method is used to determine the dynamic characteristics of buildings (damping ratio and frequency).
The results of research at the SBI cement factory, the relationship between FSR and RDM has a correlation value of R = 0.9424. The results of the attenuation ratio resulting from validation of the natural frequencies that exist on the FSR and RDM are accurate. The results of the study produced a natural FSR frequency value between 0.58-1.95 Hz. The results of resonance of buildings in the study area showed a value of 51.77-85.87% and included in the low level. The PT SBI building indicated that it was difficult to resonate when the earthquake spread under the building. Analysis of building vulnerability index shows that OHS buildings have the highest vulnerability index with an average value of 823.73, so this building is weak if earthquake damage occurs. PH buildings are strong buildings in the event of an earthquake. This building has the smallest vulnerability index with an average of 28.62. The relationship between damping and vulnerability index produces a non-linear graph relationship, indicating that the vulnerability index is high, so the attenuation ratio obtained has a small value.
Item Type: | Thesis (Undergraduate) |
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Uncontrolled Keywords: | Floor Spectral Ratio, Natural Frequency, Building Vulnerability Index, Random Decrement Method |
Subjects: | T Technology > TH Building construction > TH1095 Earthquakes and building |
Divisions: | Faculty of Civil, Planning, and Geo Engineering (CIVPLAN) > Geophysics Engineering > 33201-(S1) Undergraduate Thesis |
Depositing User: | AHMAD ADHIM SYIHABUDDIN |
Date Deposited: | 10 Aug 2020 04:05 |
Last Modified: | 21 May 2023 14:54 |
URI: | http://repository.its.ac.id/id/eprint/77306 |
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