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  Fatigue cracking prediction of RIOHTrack full-scale test track based on variable-order fractional Burgers model

Wang, Y., Cao, J., Su, Z., Huang, W., Abdel-Aty, M. (2024): Fatigue cracking prediction of RIOHTrack full-scale test track based on variable-order fractional Burgers model. - Engineering Fracture Mechanics, 307, 110330.
https://doi.org/10.1016/j.engfracmech.2024.110330

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 Urheber:
Wang, Yu1, Autor              
Cao, Jinde2, Autor
Su, Zhen1, Autor              
Huang, Wei2, Autor
Abdel-Aty, Mahmoud2, Autor
Affiliations:
1Potsdam Institute for Climate Impact Research, Potsdam, ou_persistent13              
2External Organizations, ou_persistent22              

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 Zusammenfassung: We propose a modified thermal cracking (MTC) model in this paper, which utilizes the evolution of crack propagation to predict the number and density of cracks that will form on the RIOHTrack full-scale test track. We incorporate the variable-order fractional Burgers model as an important component of the thermal cracking (TC) model, for calculating the creep compliance. Furthermore, we apply the Levenberg–Marquardt (LM) algorithm as a data-driven approach, for parameter fitting. The MTC model is constructed technically through creep compliance approximation compute and parameter fitting as follows. First, we employ the variable-order fractional Burgers model to calculate the asymptotic creep compliance of each pavement segment within the RIOHTrack full-scale test track. More precisely, we derive the explicit asymptotic expansion of creep compliance based on the variable-order fractional Burgers model. Such an asymptotic expansion represented by the function is a simplified representation of the creep compliance, and it ensures that the fitting accuracy is greater than 0.87. Parameter fitting of the creep compliance is based on the RIOHTrack full-scale pavement test data, using the LM algorithm. Then, the creep compliance in the original TC model is mathematically upgraded to the above variable-order fractional approximation form, and parameters in the MTC model are numerically estimated using the LM algorithm based on prior knowledge from the RIOHTrack test data. Our prediction analyses based on the RIOHTrack data demonstrate the superior performance of the proposed MTC model.

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Sprache(n): eng - Englisch
 Datum: 2024-07-312024-08-22
 Publikationsstatus: Final veröffentlicht
 Seiten: 14
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: DOI: 10.1016/j.engfracmech.2024.110330
PIKDOMAIN: RD4 - Complexity Science
Organisational keyword: RD4 - Complexity Science
Research topic keyword: Nonlinear Dynamics
Model / method: Nonlinear Data Analysis
MDB-ID: pending
 Art des Abschluß: -

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Titel: Engineering Fracture Mechanics
Genre der Quelle: Zeitschrift, SCI, Scopus, p3
 Urheber:
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Ort, Verlag, Ausgabe: -
Seiten: - Band / Heft: 307 Artikelnummer: 110330 Start- / Endseite: - Identifikator: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/150824
Publisher: Elsevier