{"id":7025,"date":"2018-06-18T13:49:52","date_gmt":"2018-06-18T11:49:52","guid":{"rendered":"https:\/\/www.uni.lu\/fr\/events\/stochastic-modeling-for-uncertainty-quantification\/"},"modified":"2018-06-18T13:49:52","modified_gmt":"2018-06-18T11:49:52","slug":"stochastic-modeling-for-uncertainty-quantification","status":"publish","type":"events","link":"https:\/\/www.uni.lu\/fr\/events\/stochastic-modeling-for-uncertainty-quantification\/","title":{"rendered":"Stochastic Modeling for Uncertainty Quantification"},"content":{"rendered":"<section class=\"wp-block-unilux-blocks-free-section section\"><div class=\"container xl:max-w-screen-xl\"><p><strong>About the topic<\/strong><\/p><p>Accounting for system-parameter and model uncertainties in computational models is a key ingredient of predictive science and engineering. In this talk, we focus on the modeling and simulation of spatially varying properties in both linear and nonlinear frameworks. Stochastic models for non-Gaussian matrix-valued random fields are first introduced. These representations are typically used to define tensor-valued coefficients in elliptic stochastic partial differential operators. The main theoretical concepts and tools are illustrated, throughout this part, by considering the modeling of tensors fluctuating over curved geometries. Two applications are presented. The first example is concerned with the modeling of random interphases for nano-composites and involves a coupling between large-scale atomistic computations and a multiscale continuum formulation. The second application is focused on stochastic modeling for brittle fracture, using a phase-eld approach. We then address the probabilistic modeling of isotropic and anisotropic strain energy functions in nonlinear elasticity. Here, the proposed framework is exemplified by considering the modeling of soft biological tissues and engineered composite laminates.<\/p><p><strong>About the speaker<\/strong><\/p><p>Johann Guilleminot joined Duke in 2017, as an assistant professor of Civil and Environmental Engineering. Prior to that, he was Ma\u00eetre de Conf\u00e9rences in the Multiscale Modeling and Simulation Laboratory at Universit\u00e9 Paris-Est. He earned an MS (2005) and PhD (2008) in Theoretical Mechanics from the University of Lille 1 Science and Technology, and received his Habilitation (2014) in Mechanics from Universit\u00e9 Paris-Est (with certification in Applied Mathematics and Mechanics). Dr. Guilleminot\u2019s research focuses on uncertainty quantification, computational mechanics and materials science, as well as on topics at the interface between these fields. He is particularly interested in the multiscale analysis of heterogeneous materials, physics-based machine learning, statistical inverse problems and stochastic modeling with applications for computational science and engineering.<\/p><\/div><\/section>","protected":false},"excerpt":{"rendered":"","protected":false},"author":0,"featured_media":7026,"parent":0,"menu_order":0,"comment_status":"open","ping_status":"closed","template":"","format":"standard","meta":{"featured_image_focal_point":[],"show_featured_caption":false,"ulux_newsletter_groups":"","uluxPostTitle":"","uluxPrePostTitle":"","_trash_the_other_posts":false,"_price":"","_stock":"","_tribe_ticket_header":"","_tribe_default_ticket_provider":"","_tribe_ticket_capacity":"0","_ticket_start_date":"","_ticket_end_date":"","_tribe_ticket_show_description":"","_tribe_ticket_show_not_going":false,"_tribe_ticket_use_global_stock":"","_tribe_ticket_global_stock_level":"","_global_stock_mode":"","_global_stock_cap":"","_tribe_rsvp_for_event":"","_tribe_ticket_going_count":"","_tribe_ticket_not_going_count":"","_tribe_tickets_list":"[]","_tribe_ticket_has_attendee_info_fields":false,"event_start_date":"2018-06-21 14:00:00","event_end_date":"2018-06-21 16:00:00","event_speaker_name":"Prof. Johann Guilleminot, Duke University","event_speaker_link":"","event_is_online":false,"event_location":"Belval Campus\r\nMaison du Nombre\r\nRoom 0425100","event_street":"","event_location_link":"","event_zip_code":"","event_city":"","event_country":"LU"},"events-topic":[308],"events-type":[],"organisation":[43,25,226],"authorship":[],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v22.3 (Yoast SEO v22.3) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Stochastic Modeling for Uncertainty Quantification - Universit\u00e9 du Luxembourg<\/title>\n<meta name=\"description\" content=\"About the topicAccounting for system-parameter and model uncertainties in computational models is a key ingredient of predictive science and engineering.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.uni.lu\/fr\/events\/stochastic-modeling-for-uncertainty-quantification\/\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Stochastic Modeling for Uncertainty Quantification\" \/>\n<meta property=\"og:description\" content=\"About the topicAccounting for system-parameter and model uncertainties in computational models is a key ingredient of predictive science and engineering.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.uni.lu\/fr\/events\/stochastic-modeling-for-uncertainty-quantification\/\" \/>\n<meta property=\"og:site_name\" content=\"UNI FR\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/uni.lu\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.uni.lu\/wp-content\/uploads\/sites\/11\/2026\/03\/03120045\/UNIV_SM-Profile_1600x1600px-scaled.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"2560\" \/>\n\t<meta property=\"og:image:height\" content=\"2560\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Dur\u00e9e de lecture estim\u00e9e\" \/>\n\t<meta name=\"twitter:data1\" content=\"1 minute\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/www.uni.lu\/fr\/events\/stochastic-modeling-for-uncertainty-quantification\/\",\"url\":\"https:\/\/www.uni.lu\/fr\/events\/stochastic-modeling-for-uncertainty-quantification\/\",\"name\":\"Stochastic Modeling for Uncertainty Quantification - Universit\u00e9 du Luxembourg\",\"isPartOf\":{\"@id\":\"https:\/\/www.uni.lu\/fr\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\/\/www.uni.lu\/fr\/events\/stochastic-modeling-for-uncertainty-quantification\/#primaryimage\"},\"image\":{\"@id\":\"https:\/\/www.uni.lu\/fr\/events\/stochastic-modeling-for-uncertainty-quantification\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/www.uni.lu\/wp-content\/uploads\/sites\/11\/2018\/06\/stochastic_modeling_for_uncertainty_quantification.jpg\",\"datePublished\":\"2018-06-18T11:49:52+00:00\",\"dateModified\":\"2018-06-18T11:49:52+00:00\",\"description\":\"About the topicAccounting for system-parameter and model uncertainties in computational models is a key ingredient of predictive science and engineering.\",\"breadcrumb\":{\"@id\":\"https:\/\/www.uni.lu\/fr\/events\/stochastic-modeling-for-uncertainty-quantification\/#breadcrumb\"},\"inLanguage\":\"fr-FR\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/www.uni.lu\/fr\/events\/stochastic-modeling-for-uncertainty-quantification\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"fr-FR\",\"@id\":\"https:\/\/www.uni.lu\/fr\/events\/stochastic-modeling-for-uncertainty-quantification\/#primaryimage\",\"url\":\"https:\/\/www.uni.lu\/wp-content\/uploads\/sites\/11\/2018\/06\/stochastic_modeling_for_uncertainty_quantification.jpg\",\"contentUrl\":\"https:\/\/www.uni.lu\/wp-content\/uploads\/sites\/11\/2018\/06\/stochastic_modeling_for_uncertainty_quantification.jpg\",\"width\":800,\"height\":600},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/www.uni.lu\/fr\/events\/stochastic-modeling-for-uncertainty-quantification\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/www.uni.lu\/fr\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Events\",\"item\":\"https:\/\/www.uni.lu\/fr\/events\/\"},{\"@type\":\"ListItem\",\"position\":3,\"name\":\"Stochastic Modeling for Uncertainty Quantification\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/www.uni.lu\/fr\/#website\",\"url\":\"https:\/\/www.uni.lu\/fr\/\",\"name\":\"Uni.lu\",\"description\":\"Universit\u00e9 du Luxembourg\",\"publisher\":{\"@id\":\"https:\/\/www.uni.lu\/fr\/#organization\"},\"alternateName\":\"Universit\u00e9 du Luxembourg\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/www.uni.lu\/fr\/?s={search_term_string}\"},\"query-input\":\"required name=search_term_string\"}],\"inLanguage\":\"fr-FR\"},{\"@type\":\"Organization\",\"@id\":\"https:\/\/www.uni.lu\/fr\/#organization\",\"name\":\"Universit\u00e9 du Luxembourg\",\"alternateName\":\"Uni.lu\",\"url\":\"https:\/\/www.uni.lu\/fr\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"fr-FR\",\"@id\":\"https:\/\/www.uni.lu\/fr\/#\/schema\/logo\/image\/\",\"url\":\"https:\/\/www.uni.lu\/wp-content\/uploads\/sites\/11\/2026\/03\/03120045\/UNIV_SM-Profile_1600x1600px-scaled.jpg\",\"contentUrl\":\"https:\/\/www.uni.lu\/wp-content\/uploads\/sites\/11\/2026\/03\/03120045\/UNIV_SM-Profile_1600x1600px-scaled.jpg\",\"width\":2560,\"height\":2560,\"caption\":\"Universit\u00e9 du Luxembourg\"},\"image\":{\"@id\":\"https:\/\/www.uni.lu\/fr\/#\/schema\/logo\/image\/\"},\"sameAs\":[\"https:\/\/www.facebook.com\/uni.lu\",\"https:\/\/www.linkedin.com\/school\/university-of-luxembourg\/\",\"https:\/\/www.instagram.com\/uni.lu\",\"https:\/\/www.youtube.com\/@uni_lu\",\"https:\/\/en.wikipedia.org\/wiki\/University_of_Luxembourg\"]}]}<\/script>\n<!-- \/ Yoast SEO Premium plugin. -->","yoast_head_json":{"title":"Stochastic Modeling for Uncertainty Quantification - Universit\u00e9 du Luxembourg","description":"About the topicAccounting for system-parameter and model uncertainties in computational models is a key ingredient of predictive science and engineering.","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/www.uni.lu\/fr\/events\/stochastic-modeling-for-uncertainty-quantification\/","og_locale":"fr_FR","og_type":"article","og_title":"Stochastic Modeling for Uncertainty Quantification","og_description":"About the topicAccounting for system-parameter and model uncertainties in computational models is a key ingredient of predictive science and engineering.","og_url":"https:\/\/www.uni.lu\/fr\/events\/stochastic-modeling-for-uncertainty-quantification\/","og_site_name":"UNI FR","article_publisher":"https:\/\/www.facebook.com\/uni.lu","og_image":[{"width":2560,"height":2560,"url":"https:\/\/www.uni.lu\/wp-content\/uploads\/sites\/11\/2026\/03\/03120045\/UNIV_SM-Profile_1600x1600px-scaled.jpg","type":"image\/jpeg"}],"twitter_card":"summary_large_image","twitter_misc":{"Dur\u00e9e de lecture estim\u00e9e":"1 minute"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/www.uni.lu\/fr\/events\/stochastic-modeling-for-uncertainty-quantification\/","url":"https:\/\/www.uni.lu\/fr\/events\/stochastic-modeling-for-uncertainty-quantification\/","name":"Stochastic Modeling for Uncertainty Quantification - Universit\u00e9 du Luxembourg","isPartOf":{"@id":"https:\/\/www.uni.lu\/fr\/#website"},"primaryImageOfPage":{"@id":"https:\/\/www.uni.lu\/fr\/events\/stochastic-modeling-for-uncertainty-quantification\/#primaryimage"},"image":{"@id":"https:\/\/www.uni.lu\/fr\/events\/stochastic-modeling-for-uncertainty-quantification\/#primaryimage"},"thumbnailUrl":"https:\/\/www.uni.lu\/wp-content\/uploads\/sites\/11\/2018\/06\/stochastic_modeling_for_uncertainty_quantification.jpg","datePublished":"2018-06-18T11:49:52+00:00","dateModified":"2018-06-18T11:49:52+00:00","description":"About the topicAccounting for system-parameter and model uncertainties in computational models is a key ingredient of predictive science and engineering.","breadcrumb":{"@id":"https:\/\/www.uni.lu\/fr\/events\/stochastic-modeling-for-uncertainty-quantification\/#breadcrumb"},"inLanguage":"fr-FR","potentialAction":[{"@type":"ReadAction","target":["https:\/\/www.uni.lu\/fr\/events\/stochastic-modeling-for-uncertainty-quantification\/"]}]},{"@type":"ImageObject","inLanguage":"fr-FR","@id":"https:\/\/www.uni.lu\/fr\/events\/stochastic-modeling-for-uncertainty-quantification\/#primaryimage","url":"https:\/\/www.uni.lu\/wp-content\/uploads\/sites\/11\/2018\/06\/stochastic_modeling_for_uncertainty_quantification.jpg","contentUrl":"https:\/\/www.uni.lu\/wp-content\/uploads\/sites\/11\/2018\/06\/stochastic_modeling_for_uncertainty_quantification.jpg","width":800,"height":600},{"@type":"BreadcrumbList","@id":"https:\/\/www.uni.lu\/fr\/events\/stochastic-modeling-for-uncertainty-quantification\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/www.uni.lu\/fr\/"},{"@type":"ListItem","position":2,"name":"Events","item":"https:\/\/www.uni.lu\/fr\/events\/"},{"@type":"ListItem","position":3,"name":"Stochastic Modeling for Uncertainty Quantification"}]},{"@type":"WebSite","@id":"https:\/\/www.uni.lu\/fr\/#website","url":"https:\/\/www.uni.lu\/fr\/","name":"Uni.lu","description":"Universit\u00e9 du Luxembourg","publisher":{"@id":"https:\/\/www.uni.lu\/fr\/#organization"},"alternateName":"Universit\u00e9 du Luxembourg","potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/www.uni.lu\/fr\/?s={search_term_string}"},"query-input":"required name=search_term_string"}],"inLanguage":"fr-FR"},{"@type":"Organization","@id":"https:\/\/www.uni.lu\/fr\/#organization","name":"Universit\u00e9 du Luxembourg","alternateName":"Uni.lu","url":"https:\/\/www.uni.lu\/fr\/","logo":{"@type":"ImageObject","inLanguage":"fr-FR","@id":"https:\/\/www.uni.lu\/fr\/#\/schema\/logo\/image\/","url":"https:\/\/www.uni.lu\/wp-content\/uploads\/sites\/11\/2026\/03\/03120045\/UNIV_SM-Profile_1600x1600px-scaled.jpg","contentUrl":"https:\/\/www.uni.lu\/wp-content\/uploads\/sites\/11\/2026\/03\/03120045\/UNIV_SM-Profile_1600x1600px-scaled.jpg","width":2560,"height":2560,"caption":"Universit\u00e9 du Luxembourg"},"image":{"@id":"https:\/\/www.uni.lu\/fr\/#\/schema\/logo\/image\/"},"sameAs":["https:\/\/www.facebook.com\/uni.lu","https:\/\/www.linkedin.com\/school\/university-of-luxembourg\/","https:\/\/www.instagram.com\/uni.lu","https:\/\/www.youtube.com\/@uni_lu","https:\/\/en.wikipedia.org\/wiki\/University_of_Luxembourg"]}]}},"_links":{"self":[{"href":"https:\/\/www.uni.lu\/fr\/wp-json\/wp\/v2\/events\/7025"}],"collection":[{"href":"https:\/\/www.uni.lu\/fr\/wp-json\/wp\/v2\/events"}],"about":[{"href":"https:\/\/www.uni.lu\/fr\/wp-json\/wp\/v2\/types\/events"}],"replies":[{"embeddable":true,"href":"https:\/\/www.uni.lu\/fr\/wp-json\/wp\/v2\/comments?post=7025"}],"version-history":[{"count":0,"href":"https:\/\/www.uni.lu\/fr\/wp-json\/wp\/v2\/events\/7025\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.uni.lu\/fr\/wp-json\/wp\/v2\/media\/7026"}],"wp:attachment":[{"href":"https:\/\/www.uni.lu\/fr\/wp-json\/wp\/v2\/media?parent=7025"}],"wp:term":[{"taxonomy":"events-topic","embeddable":true,"href":"https:\/\/www.uni.lu\/fr\/wp-json\/wp\/v2\/events-topic?post=7025"},{"taxonomy":"events-type","embeddable":true,"href":"https:\/\/www.uni.lu\/fr\/wp-json\/wp\/v2\/events-type?post=7025"},{"taxonomy":"organisation","embeddable":true,"href":"https:\/\/www.uni.lu\/fr\/wp-json\/wp\/v2\/organisation?post=7025"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}