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Conference Paper/Proceeding/Abstract 203 views

Identification of Bolted Joint Models Using a Stochastic Thin Layer

Nidhal Jamia Orcid Logo, Hassan Jalali Orcid Logo, Michael Friswell, Hamed Haddad Khodaparast Orcid Logo, Javad Taghipour

The 4th International Conference on Uncertainty Quantification in Computational Sciences and Engineering

Swansea University Authors: Nidhal Jamia Orcid Logo, Michael Friswell, Hamed Haddad Khodaparast Orcid Logo, Javad Taghipour

Published in: The 4th International Conference on Uncertainty Quantification in Computational Sciences and Engineering
Published: 2020
URI: https://cronfa.swan.ac.uk/Record/cronfa65179
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spelling v2 65179 2023-12-01 Identification of Bolted Joint Models Using a Stochastic Thin Layer 846b2cd3a7717b296654010df30cb22a 0000-0003-0643-7812 Nidhal Jamia Nidhal Jamia true false 5894777b8f9c6e64bde3568d68078d40 Michael Friswell Michael Friswell true false f207b17edda9c4c3ea074cbb7555efc1 0000-0002-3721-4980 Hamed Haddad Khodaparast Hamed Haddad Khodaparast true false dc7cba835218dde37fe7f447962d4058 Javad Taghipour Javad Taghipour true false 2023-12-01 AERO Conference Paper/Proceeding/Abstract The 4th International Conference on Uncertainty Quantification in Computational Sciences and Engineering 29 6 2020 2020-06-29 COLLEGE NANME Aerospace Engineering COLLEGE CODE AERO Swansea University 2024-04-11T19:33:08.2436295 2023-12-01T16:42:08.5059918 Faculty of Science and Engineering School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Aerospace Engineering Nidhal Jamia 0000-0003-0643-7812 1 Hassan Jalali 0000-0002-9839-0478 2 Michael Friswell 3 Hamed Haddad Khodaparast 0000-0002-3721-4980 4 Javad Taghipour 5
title Identification of Bolted Joint Models Using a Stochastic Thin Layer
spellingShingle Identification of Bolted Joint Models Using a Stochastic Thin Layer
Nidhal Jamia
Michael Friswell
Hamed Haddad Khodaparast
Javad Taghipour
title_short Identification of Bolted Joint Models Using a Stochastic Thin Layer
title_full Identification of Bolted Joint Models Using a Stochastic Thin Layer
title_fullStr Identification of Bolted Joint Models Using a Stochastic Thin Layer
title_full_unstemmed Identification of Bolted Joint Models Using a Stochastic Thin Layer
title_sort Identification of Bolted Joint Models Using a Stochastic Thin Layer
author_id_str_mv 846b2cd3a7717b296654010df30cb22a
5894777b8f9c6e64bde3568d68078d40
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author_id_fullname_str_mv 846b2cd3a7717b296654010df30cb22a_***_Nidhal Jamia
5894777b8f9c6e64bde3568d68078d40_***_Michael Friswell
f207b17edda9c4c3ea074cbb7555efc1_***_Hamed Haddad Khodaparast
dc7cba835218dde37fe7f447962d4058_***_Javad Taghipour
author Nidhal Jamia
Michael Friswell
Hamed Haddad Khodaparast
Javad Taghipour
author2 Nidhal Jamia
Hassan Jalali
Michael Friswell
Hamed Haddad Khodaparast
Javad Taghipour
format Conference Paper/Proceeding/Abstract
container_title The 4th International Conference on Uncertainty Quantification in Computational Sciences and Engineering
publishDate 2020
institution Swansea University
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Aerospace Engineering{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Aerospace Engineering
document_store_str 0
active_str 0
published_date 2020-06-29T19:33:03Z
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