Advanced LS-OPT®: Deterministic & Probabilistic Optimization



This course is in­tend­ed to help en­gi­neers with a ba­sic knowl­edge of LS-DY­NA and LS-OPT to be­come pro­fi­cient in ad­vanced op­ti­miza­tion and prob­a­bilis­tic de­sign meth­ods. With this course we hope for you to be­come more pro­duc­tive at de­sign and pa­ra­me­ter iden­ti­fi­ca­tion of com­plex sys­tems, such as mul­ti­dis­ci­pli­nary sys­tems with com­pet­ing ob­jec­tives, ad­vanced ma­te­r­i­al test­ing and mod­els, and sys­tems with dis­con­tin­u­ous re­spons­es. We will al­so pro­vide in­sight in­to re­li­a­bil­i­ty and ro­bust­ness in or­der to fa­cil­i­tate high­er qual­i­ty prod­uct de­sign. Ad­di­tion­al­ly, we will in­tro­duce clas­si­fi­ca­tion-based adap­tive sam­pling con­straints as a tool for en­hanc­ing the ef­fi­cien­cy.

In this course, we will dis­cuss both the the­o­ret­i­cal and prac­ti­cal as­pects of de­sign. We will al­so cov­er ad­vanced top­ics, such as mul­ti-ob­jec­tive and col­lab­o­ra­tive op­ti­miza­tion, dig­i­tal im­age cor­re­la­tion, sta­tis­ti­cal clas­si­fi­ca­tion, and prob­a­bilis­tic op­ti­miza­tion. Dur­ing work­shop ses­sions, we will ap­ply the dis­cussed the­o­ret­i­cal top­ics. We will use the LS-OPT Ver­sion 6.0 graph­i­cal user in­ter­face to teach in­put prepa­ra­tion and post-pro­cess­ing. We will al­so em­pha­size in­ter­fac­ing with LS-DY­NA.