{"id":205456,"date":"2025-02-04T04:22:32","date_gmt":"2025-02-04T10:22:32","guid":{"rendered":"https:\/\/lifeboat.com\/blog\/2025\/02\/quantifying-metal-strength-uncertainty-in-high-explosives-models"},"modified":"2025-02-04T04:22:32","modified_gmt":"2025-02-04T10:22:32","slug":"quantifying-metal-strength-uncertainty-in-high-explosives-models","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2025\/02\/quantifying-metal-strength-uncertainty-in-high-explosives-models","title":{"rendered":"Quantifying metal strength uncertainty in high-explosives models"},"content":{"rendered":"

<\/a><\/p>\n

For the first time, a team of researchers at Lawrence Livermore National Laboratory (LLNL) quantified and rigorously studied the effect of metal strength on accurately modeling coupled metal\/high explosive (HE) experiments, shedding light on an elusive variable in an important model for national security and defense applications.<\/p>\n

The team used a Bayesian approach to quantify metal<\/a> strength<\/a> uncertainty<\/a> with tantalum and two common explosive materials and integrated it into a coupled metal\/HE model<\/a>. Their findings could lead to more accurate models for equation-of-state-studies, which assess the state of matter a material exists in under different conditions. Their paper <\/a>\u2014featured as an editor\u2019s pick in the Journal of Applied Physics <\/i>\u2014also suggested that metal strength uncertainty may have an insignificant effect on result.<\/p>\n

\u201cThere has been a long-standing field lore that HE model calibrations are sensitive to the metal strength,\u201d said Matt Nelms, the paper\u2019s first author and a group leader in LLNL\u2019s Computational Engineering Division (CED). \u201cBy using a rigorous Bayesian approach, we found that this is not the case, at least when using tantalum.\u201d<\/p>\n","protected":false},"excerpt":{"rendered":"

For the first time, a team of researchers at Lawrence Livermore National Laboratory (LLNL) quantified and rigorously studied the effect of metal strength on accurately modeling coupled metal\/high explosive (HE) experiments, shedding light on an elusive variable in an important model for national security and defense applications. The team used a Bayesian approach to quantify [\u2026]<\/p>\n","protected":false},"author":427,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1523,38,41,219,1492],"tags":[],"class_list":["post-205456","post","type-post","status-publish","format-standard","hentry","category-computing","category-engineering","category-information-science","category-physics","category-security"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/205456","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/users\/427"}],"replies":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/comments?post=205456"}],"version-history":[{"count":0,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/205456\/revisions"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=205456"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=205456"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=205456"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}