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Data-driven time-variant reliability assessment of bridge girders based on deep learning.

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Title: Data-driven time-variant reliability assessment of bridge girders based on deep learning.
Authors: Xiao, Qingkai1 (AUTHOR), Yiping, Liu1 (AUTHOR), Chen, Chengbin1 (AUTHOR), Zhou, Licheng1 (AUTHOR) ctlczhou@scut.edu.cn, Zejia, Liu1 (AUTHOR) zjliu@scut.edu.cn, Jiang, Zhenyu1 (AUTHOR), Yang, Bao1 (AUTHOR), Tang, Liqun1 (AUTHOR)
Source: Mechanics of Advanced Materials & Structures. 2024, Vol. 31 Issue 26, p8029-8041. 13p.
Database: Academic Search Ultimate
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An: 180993251
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  Data: Data-driven time-variant reliability assessment of bridge girders based on deep learning.
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  Data: <searchLink fieldCode="JN" term="%22Mechanics+of+Advanced+Materials+%26+Structures%22">Mechanics of Advanced Materials & Structures</searchLink>. 2024, Vol. 31 Issue 26, p8029-8041. 13p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=180993251
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1080/15376494.2023.2253548
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      – Code: eng
        Text: English
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        PageCount: 13
        StartPage: 8029
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      – TitleFull: Data-driven time-variant reliability assessment of bridge girders based on deep learning.
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            NameFull: Xiao, Qingkai
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            NameFull: Jiang, Zhenyu
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              Text: 2024
              Type: published
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              Value: 31
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              Value: 26
          Titles:
            – TitleFull: Mechanics of Advanced Materials & Structures
              Type: main
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