https://communities.bentley.com/members/09bda6d6_2d00_fcef_2d00_4b03_2d00_ac70_2d00_884d660f5b8cPooneh Shah's recent activityen-USTelligent Community 12https://communities.bentley.com/products/geotech-analysis/f/forum/219637/local-average-subdivision-methodFri, 17 Sep 2021 12:27:25 GMT6dad98f5-dbc9-4c4d-a9ba-e9da8dc6aa8e:20d4064f-34e6-476b-8ea6-cea0f01efdbePooneh Shah<div>Hello.&nbsp; <div><span>I have a question regarding the Local Average Subdivision method functionality which generates random values for different segments along different slip surfaces of a slope in each Monte Carlo iteration, though I have spent lots of time understanding this technique</span><span>. Actually, I do not understand how does it generate random values in each MC iteration in a Floating approach</span><span>? Could you please clarify this as different slip surfaces have different lengths in each MC iteration, so how a two-segment slip surface random values can be equivalently converted to become&nbsp;</span><span>random values of&nbsp;</span><span>a three-segment slip surface in an MC iteration using the LAS method</span><span>?</span></div> <div></div> <div>For example, there are two slip surfaces(with different lengths, e.g. 5 and 7 meters) in each Monte Carlo iterations(no of iterations=2000). How LAS approach generates random values for soil cohesion for each segment of two slip surfaces considering SOF value of 2 meters, so the two resulting factors of safety can be compared at the end of each iteration?&nbsp;</div> </div><div style="clear:both;"></div>https://communities.bentley.com/products/geotech-analysis/f/forum/219638/local-average-subdivision-method-in-svslopeFri, 17 Sep 2021 12:30:47 GMT6dad98f5-dbc9-4c4d-a9ba-e9da8dc6aa8e:e2d937b1-4b04-40d1-a035-db5c79e07e87Pooneh Shah<p><span>Hello.&nbsp;</span></p> <div><span>I have a question regarding the Local Average Subdivision method functionality which generates random values for different segments along different slip surfaces of a slope in each Monte Carlo iteration, though I have spent lots of time understanding this technique</span><span>. Actually, I do not understand how does it generate random values in each MC iteration in a Floating approach</span><span>? Could you please clarify this as different slip surfaces have different lengths in each MC iteration, so how a two-segment slip surface random values can be equivalently converted to become&nbsp;</span><span>random values of&nbsp;</span><span>a three-segment slip surface in an MC iteration using the LAS method</span><span>?</span></div> <div></div> <div>For example, there are two slip surfaces(with different lengths, e.g. 5 and 7 meters) in each Monte Carlo iterations(no of iterations=2000). How LAS approach generates random values for soil cohesion for each segment of two slip surfaces considering SOF value of 2 meters, so the two resulting factors of safety can be compared at the end of each iteration?&nbsp;</div><div style="clear:both;"></div>https://communities.bentley.com/achievements/460ac7df-7ccc-4c42-a204-9e05eef3be09Fri, 17 Sep 2021 00:19:46 GMT6dad98f5-dbc9-4c4d-a9ba-e9da8dc6aa8e:2d5d6b26-faff-4b70-8ed6-0079a0aff568Ask a question in a forum.