Rock slope stability analysis in Melasti Beach area – Ungasan, Bali
Keywords:
excavation, rock mass classification, slope stability, stability analysis, tourism facilityAbstract
Melasti Beach is one of the main tourist attractions developed by the Bali Government. This beach is located in the southern area of Bali, precisely in Ungasan village, Badung Regency, Bali. At the moment, the region administrator is constructing a tourism facility by excavating a rock mass near the beach. Therefore, to avoid damage to nearby shops and beach facilities, a study is needed to be conducted about the safety of the rock mass that is being excavated. Direct observation of the rock mass and rock mass classification is conducted to obtain the physic and mechanical characteristics of the rock. To do the stability analysis of the slope, Geo-Studio 2012 software is used by inputting the data obtained from the field and laboratory data. The result of this study is a mass rock in Melasti Beach is classified as limestone which has a Fair rock classification and the factor of the safety of the rock slope/cliff is 1.631 which means the cliff is safe and is no need to build an extra reinforcement on the slope/cliff.
Downloads
References
Abbas, S. M & Konietzky, H. H. (2015). Rock Mass Classification Systems.
Amerta, I. M. S., Sara, I. M., & Bagiada, K. (2018). Sustainable tourism development. International research journal of management, IT and social sciences, 5(2), 248-254.
Ardana, M. D. W., & Aribudiman, I. N. (2019). Analisis Karakteristik Batuan Kapur (Limestone Dan Chalk) Di Kawasan Bukit Pecatu Kabupaten Badung Bali. Jurnal Ilmiah Teknik Sipil, 23(1), 1-5.
Basahel, H., & Mitri, H. (2017). Application of rock mass classification systems to rock slope stability assessment: A case study. Journal of rock mechanics and geotechnical engineering, 9(6), 993-1009. https://doi.org/10.1016/j.jrmge.2017.07.007
Bieniawski, Z. T. (1989). Engineering rock mass classifications: a complete manual for engineers and geologists in mining, civil, and petroleum engineering. John Wiley & Sons.
Daftaribesheli, A., Ataei, M., & Sereshki, F. (2011). Assessment of rock slope stability using the Fuzzy Slope Mass Rating (FSMR) system. Applied Soft Computing, 11(8), 4465-4473. https://doi.org/10.1016/j.asoc.2011.08.032
Das, B. M. (2021). Principles of geotechnical engineering. Cengage learning.
Das, I., Sahoo, S., van Westen, C., Stein, A., & Hack, R. (2010). Landslide susceptibility assessment using logistic regression and its comparison with a rock mass classification system, along a road section in the northern Himalayas (India). Geomorphology, 114(4), 627-637. https://doi.org/10.1016/j.geomorph.2009.09.023
Khatik, V. M., & Nandi, A. K. (2018). A generic method for rock mass classification. Journal of Rock Mechanics and Geotechnical Engineering, 10(1), 102-116. https://doi.org/10.1016/j.jrmge.2017.09.007
Liu, Y. C., & Chen, C. S. (2007). A new approach for application of rock mass classification on rock slope stability assessment. Engineering geology, 89(1-2), 129-143. https://doi.org/10.1016/j.enggeo.2006.09.017
McQuillan, A., Canbulat, I., Payne, D., & Oh, J. (2018). New risk assessment methodology for coal mine excavated slopes. International Journal of Mining Science and Technology, 28(4), 583-592. https://doi.org/10.1016/j.ijmst.2018.07.001
Pantelidis, L. (2009). Rock slope stability assessment through rock mass classification systems. International Journal of Rock Mechanics and Mining Sciences, 46(2), 315-325. https://doi.org/10.1016/j.ijrmms.2008.06.003
Sapigni, M., Berti, M., Bethaz, E., Busillo, A., & Cardone, G. (2002). TBM performance estimation using rock mass classifications. International Journal of Rock Mechanics and Mining Sciences, 39(6), 771-788. https://doi.org/10.1016/S1365-1609(02)00069-2
Şen, Z., & Sadagah, B. H. (2003). Modified rock mass classification system by continuous rating. Engineering Geology, 67(3-4), 269-280. https://doi.org/10.1016/S0013-7952(02)00185-0
Sivakugan, N., Shukla, S. K., & Das, B. M. (2013). Rock mechanics: an introduction. Crc Press.
Tzamos, S., & Sofianos, A. I. (2007). A correlation of four rock mass classification systems through their fabric indices. International Journal of Rock Mechanics and Mining Sciences, 44(4), 477-495. https://doi.org/10.1016/j.ijrmms.2006.08.003
Wesnawa, I. G. A. (2017). Sustainable tourism development potential in the improvement of economic and social life community corridor in Bali. International Research Journal of Management, IT and Social Sciences, 4(3), 1-12.
Yusuf, A. M. (2016). Metode penelitian kuantitatif, kualitatif & penelitian gabungan. Prenada Media.
Published
How to Cite
Issue
Section
Copyright (c) 2023 International research journal of engineering, IT & scientific research

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Articles published in the International Research Journal of Engineering, IT & Scientific research (IRJEIS) are available under Creative Commons Attribution Non-Commercial No Derivatives Licence (CC BY-NC-ND 4.0). Authors retain copyright in their work and grant IRJEIS right of first publication under CC BY-NC-ND 4.0. Users have the right to read, download, copy, distribute, print, search, or link to the full texts of articles in this journal, and to use them for any other lawful purpose.
Articles published in IRJEIS can be copied, communicated and shared in their published form for non-commercial purposes provided full attribution is given to the author and the journal. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
This copyright notice applies to articles published in IRJEIS volumes 6 onwards. Please read about the copyright notices for previous volumes under Journal History.








