Deep Learning-assisted Fluid-structure Interaction for Fatigue Life Analysis of Slurry Pump Impellers in Particulate Two-phase Flow.

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Title: Deep Learning-assisted Fluid-structure Interaction for Fatigue Life Analysis of Slurry Pump Impellers in Particulate Two-phase Flow.
Authors: Liu, Z.1,2, liuzhimin@hebeu.edu.cn, Peng, K.1, Lv, X.3, Chen, H.1, Qu, Z.1
Source: Journal of Applied Fluid Mechanics; Jun2026, Vol. 19 Issue 6, p1322-1334, 13p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 193699861
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Deep Learning-assisted Fluid-structure Interaction for Fatigue Life Analysis of Slurry Pump Impellers in Particulate Two-phase Flow.
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  Data: <searchLink fieldCode="AU" term="%22Liu%2C+Z%2E%22">Liu, Z.</searchLink><relatesTo>1,2</relatesTo>, <i>liuzhimin@hebeu.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Peng%2C+K%2E%22">Peng, K.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Lv%2C+X%2E%22">Lv, X.</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AU" term="%22Chen%2C+H%2E%22">Chen, H.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Qu%2C+Z%2E%22">Qu, Z.</searchLink><relatesTo>1</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Applied+Fluid+Mechanics%22">Journal of Applied Fluid Mechanics</searchLink>; Jun2026, Vol. 19 Issue 6, p1322-1334, 13p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=193699861
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.47176/jafm.19.6.4093
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      – Code: eng
        Text: English
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        PageCount: 13
        StartPage: 1322
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      – TitleFull: Deep Learning-assisted Fluid-structure Interaction for Fatigue Life Analysis of Slurry Pump Impellers in Particulate Two-phase Flow.
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            NameFull: Liu, Z.
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            NameFull: Peng, K.
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            – D: 01
              M: 06
              Text: Jun2026
              Type: published
              Y: 2026
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              Value: 19
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              Value: 6
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