{"id":438360,"date":"2025-08-01T12:03:33","date_gmt":"2025-08-01T12:03:33","guid":{"rendered":"https:\/\/innovationspace.ansys.com\/forum\/forums\/topic\/doe-sampling-methods\/"},"modified":"2025-08-01T12:06:34","modified_gmt":"2025-08-01T12:06:34","slug":"doe-sampling-methods","status":"publish","type":"topic","link":"https:\/\/innovationspace.ansys.com\/forum\/forums\/topic\/doe-sampling-methods\/","title":{"rendered":"DoE sampling methods"},"content":{"rendered":"<p>&lt;p&gt;&lt;p&gt;Hello! &lt;br&gt;&lt;br&gt;I am working on a study to investigate an optimization methodology for car crash analysis on Optislang. I am able to create the workflow, from workbench node to optimization one, and it works. However, I am facing a challenge to get a satisfactory MOP of my sensitivity analysis.&lt;br&gt;&lt;br&gt;It is a explicit dynamics simulation and the inputs variables are, thickness, width, height and length of a bumper, and the outputs, mass of the bumper and the internal energy (from energy balance). The best CoP that I have achived is 64% for the internal energy (the length did not even reach a value &#8211; it is gray). Which would be the best DoE sampling method that I should use? I am using AMOP with Advanced LHS and refinament also with Advanced LHS.&lt;br&gt;&lt;br&gt;I have tride others but with just few samples (30~50), due the large run time (50min for each mechanical run). Also, is there a special configurantion on Optislang the would help to run them quicker?&lt;br&gt;&lt;br&gt;Thank you for your attention.&lt;\/p&gt;&lt;\/p&gt;<\/p>\n","protected":false},"template":"","class_list":["post-438360","topic","type-topic","status-publish","hentry"],"aioseo_notices":[],"acf":[],"custom_fields":[{"0":{"_bbp_forum_id":["27784"],"_bbp_topic_id":["438360"],"_bbp_subscription":["491654","480261"],"_bbp_author_ip":["2804:14c:5b74:9af8:2452:5e6c:1e79:6fff"],"_bbp_last_reply_id":["438437"],"_bbp_last_active_id":["438437"],"_bbp_last_active_time":["2025-08-02 16:42:12"],"_bbp_reply_count":["1"],"_bbp_reply_count_hidden":["0"],"_bbp_voice_count":["2"],"_bbp_engagement":["491654","480261"],"_btv_view_count":["158"],"_bbp_topic_status":["unanswered"],"_bbp_likes_count":["1"],"_edit_last":["491654"],"_bbp_revision_log":["a:1:{i:438361;a:2:{s:6:\"author\";i:491654;s:6:\"reason\";s:0:\"\";}}"],"_edit_lock":["1754052166:491654"],"_bbp_notification_enabled":["480261"]},"test":"luishsleiteufmg-br"}],"_links":{"self":[{"href":"https:\/\/innovationspace.ansys.com\/forum\/wp-json\/wp\/v2\/topics\/438360","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/innovationspace.ansys.com\/forum\/wp-json\/wp\/v2\/topics"}],"about":[{"href":"https:\/\/innovationspace.ansys.com\/forum\/wp-json\/wp\/v2\/types\/topic"}],"version-history":[{"count":1,"href":"https:\/\/innovationspace.ansys.com\/forum\/wp-json\/wp\/v2\/topics\/438360\/revisions"}],"predecessor-version":[{"id":438361,"href":"https:\/\/innovationspace.ansys.com\/forum\/wp-json\/wp\/v2\/topics\/438360\/revisions\/438361"}],"wp:attachment":[{"href":"https:\/\/innovationspace.ansys.com\/forum\/wp-json\/wp\/v2\/media?parent=438360"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}