Dynamic slope stability analysis for Sabah earthquake

Warta Geologi, Vol. 45, No. 2
Author : Rini Asnida Abdullah, Mohd Nur Asmawisham Alel, Mohd Zamri Ramli, Mariyana Aida Ab. Kadir, Nor Zurairahetty Mohd Yunus, Lee Sze Shan, Kamarudin Abdullah
Publication : Warta Geologi
Page : 48 - 51
Volume Number : 45
Year : 2019
DOI : doi.org/10.7186/wg452201904

Warta Geologi, Vol. 45, No. 2, April-June 2019, pp. 48–51


Dynamic slope stability analysis for Sabah earthquake


Rini Asnida Abdullah1,*, Mohd Nur Asmawisham Alel1,
Mohd Zamri Ramli1, Mariyana Aida Ab. Kadir1, Nor
Zurairahetty Mohd Yunus1, Lee Sze Shan2, Kamarudin

1 School of Civil Engineering, Faculty of
Engineering, Universiti Teknologi Malaysia, 81310 Johor Bahru, Malaysia

2 One Smart Engineering Pte Ltd, 21 Bukit Batok
Cresent #06-75&#06-76, WCEGA Tower, 658065 Singapore

3 GJ Runding Sdn. Bhd., 5 & 7, Jalan
Titiwangsa 3, Taman Tampoi Indah, 81200 Johor Bahru, Johor, Malaysia

*Corresponding author email address: asnida@utm.my


An earthquake commonly triggers widespread and destructive damages, which these
can include building collapse, tsunami, liquefaction, and landslide. The
earthquake that struck the western region of Sabah on June 5th, 2015, with a
local magnitude of 5.9, induced severe and extensive land instabilities in
areas such as Ranau, Tambunan, Tuaran, Kota Kinabalu, and Kota Belud.
Unfortunately, there is only a very limited literature on earthquake induced
landslides in Malaysia. Therefore, the aim of this study is to understand the
mechanism of earthquake induced landslide at Sekolah Menengah Kebangsaan (SMK)
Ranau using 2D finite element method in RS2. The displacement measured from the
slope at SMK Ranau is used to verify the model and the effect of the seismic
load has been monitored. A good agreement was found between the numerical model
and actual site condition. In depth understanding of earthquake triggered slope
failure was successfully studied using the RS2 software.


Dynamic slope stability analysis, Sabah earthquake, finite element modelling,


0126–5539; e-ISSN 2682-7549