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All Journal Journal of Engineering and Technological Sciences Indonesian Geotechnical Journal
Andri Mulia, Andri
Geotechnical Engineering Research Group, Faculty of Civil and Environmental Engineering - Institut Teknologi Bandung
Earth & Planetary Sciences Engineering

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Development of Risk Coefficient for Input to New Indonesian Seismic Building Codes Sengara, I Wayan; Sidhi, Indra Djati; Mulia, Andri; Asrurifak, Muhammad; Hutabarat, Daniel
Journal of Engineering and Technological Sciences Vol 48, No 1 (2016)
Publisher : ITB Journal Publisher, LPPM ITB

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (422.08 KB) | DOI: 10.5614/j.eng.technol.sci.2016.48.1.5

Abstract

In 2010 a national team (Team 9) developed the hazard curve and maximum considered earthquake (MCE) for the whole Indonesian area. The results were further applied in this study. Risk-targeted ground motions (RTGM) with 1% probability of building collapse in 50 years were developed by integrating the hazard curve with the structural capacity distribution. Parametric study on various variables that affect the log-normal standard deviation suggests a value of 0.7. In the effort to obtain the RTGM for the whole Indonesian region, integration was carried out using definite integration in which the curves are split into thin vertical strips and the areas below each curve are multiplied and summed. Detailed procedures and verification are given in this paper. An example of RTGM calculation was carried out for Jakarta City and then applied to the whole Indonesian region. Risk coefficients defining the ratio between RTGM and MCE were eventually developed and mapped. Risk coefficient development was generated for two periods of interest, i.e. a short time period (T = 0.2 seconds) and a 1-second period, respectively. Based on the results, for the period of 1.0 seconds 55% of Indonesian cities/districts have a risk coefficient in the range of 0.9 to 1.1 and about 37% in the range of 0.7 to 0.9, with only 5% in the range of 1.1 to 1.25.
Non-Linear Multivariate Analysis with Artificial Neural Network in Estimating Compression Index for Cohesive Soils of Northern Jakarta Coast Mulia, Andri; Elyada Eben Ezer; Darmadi, Kenandio; M Addifa Yulman; Shandy Yudha Isa; Miftahurrohman; Aditya Hadyan Putra
Indonesian Geotechnical Journal Vol. 3 No. 1 (2024): Vol. 3, No. 1, April 2024
Publisher : Himpunan Ahli Teknik Tanah Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56144/igj.v3i1.80

Abstract

This study presents a novel application of artificial neural network (ANN) to develop a model for predicting compression index (Cc) of cohesive soils from their index properties. The model was trained using data from 347 undisturbed samples on a variety of cohesive soils from Northern Jakarta. It takes up to three variables as inputs: specific gravity (Gs), liquid limit (LL), and plastic limit (PL). The model was tested on a separate dataset of 117 samples and found to have a strong capability to predict Cc values when compared to some reference correlations. The ANN model has demonstrated good performance for each set by producing overall error of 29.6%, compared to 38.1% and 30.5% for the empirical formulas. This study shows that the application of ANN offers an essential advancement in this area, helping to overcome the limitation of conventional statistical correlation.
Co-Authors Aditya Hadyan Putra Daniel Hutabarat, Daniel Darmadi, Kenandio Elyada Eben Ezer I Wayan Sengara, I Wayan Indra Djati Sidhi, Indra Djati M Addifa Yulman Miftahurrohman Muhammad Asrurifak, Muhammad Shandy Yudha Isa