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Cililin landslide process modelling using lumped mass model
Saepuzaman D.a, Srigutomo W.b, Nugraha M.G.a
a Departemen Pendidikan Fisika, FPMIPA Universitas Pendidikan Indonesia, Bandung, 40154, Indonesia
b Departemen Fisika FMIPA, Institut Teknologi Bandung, Bandung, 40132, Indonesia
[vc_row][vc_column][vc_row_inner][vc_column_inner][vc_separator css=”.vc_custom_1624529070653{padding-top: 30px !important;padding-bottom: 30px !important;}”][/vc_column_inner][/vc_row_inner][vc_row_inner layout=”boxed”][vc_column_inner width=”3/4″ css=”.vc_custom_1624695412187{border-right-width: 1px !important;border-right-color: #dddddd !important;border-right-style: solid !important;border-radius: 1px !important;}”][vc_empty_space][megatron_heading title=”Abstract” size=”size-sm” text_align=”text-left”][vc_column_text]© 2017 Universiti Putra Malaysia Press.This study analysed physical properties of landslides at Cililin using a Lumped Mass Model. It used analytical and numerical methods. The results show that landslide happens at a slope of about 32.74° angle. It usually occurs at the base of the slope, around 700 m in the horizontal direction relative to the initial position and the predicted landslides after landslides for 26 seconds. About 26 seconds after the landslide, the run-out is 800 m with a total travel time of about 33 second. The length of the initial landslides is 200 m experienced as fragmentation effect until the base of the incline before it shrinks after passing basic tilt and stops at the end of 500 m length. The areas affected by the landslide are determined by analysing the centre of mass velocity and the front of the landslides. Prediction run-out for the three locations around the location of landslides Cililin, showed that the magnitude of the tangent slope angle is smaller than the value of the coefficient of friction, and hence it is not prone to landslides.[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Author keywords” size=”size-sm” text_align=”text-left”][vc_column_text][/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Indexed keywords” size=”size-sm” text_align=”text-left”][vc_column_text]Landslide parameters,Landslides,Lumped Mass Model[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Funding details” size=”size-sm” text_align=”text-left”][vc_column_text][/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”DOI” size=”size-sm” text_align=”text-left”][vc_column_text][/vc_column_text][/vc_column_inner][vc_column_inner width=”1/4″][vc_column_text]Widget Plumx[/vc_column_text][/vc_column_inner][/vc_row_inner][/vc_column][/vc_row][vc_row][vc_column][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][/vc_column][/vc_row]