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    Efficient Gene Expression Programming–Based Predictive Models for Dynamic Modulus and Phase Angle of Asphalt Mixtures

    Source: Journal of Transportation Engineering, Part B: Pavements:;2025:;Volume ( 151 ):;issue: 004::page 04025047-1
    Author:
    Jukte, Nishigandha Rajeshwar
    ,
    Swamy, Aravind Krishna
    DOI: 10.1061/JPEODX.PVENG-1834
    Publisher: American Society of Civil Engineers
    Abstract: AbstractThe present work proposes an efficient approach to arrive at gene expression programming (GEP)–based models for dynamic modulus (|E*|) and phase angle (ϕ) prediction. The proposed methodology encompasses (1) construction of |E*| and ϕ master curves; (2) ...
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      Efficient Gene Expression Programming–Based Predictive Models for Dynamic Modulus and Phase Angle of Asphalt Mixtures

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4313001
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    • Journal of Transportation Engineering, Part B: Pavements

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    contributor authorJukte, Nishigandha Rajeshwar
    contributor authorSwamy, Aravind Krishna
    date accessioned2026-08-20T12:01:59Z
    date available2026-08-20T12:01:59Z
    date copyright2025/09/29
    date issued2025
    identifier otherJPEODX.PVENG-1834.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4313001
    description abstractAbstractThe present work proposes an efficient approach to arrive at gene expression programming (GEP)–based models for dynamic modulus (|E*|) and phase angle (ϕ) prediction. The proposed methodology encompasses (1) construction of |E*| and ϕ master curves; (2) ...
    publisherAmerican Society of Civil Engineers
    titleEfficient Gene Expression Programming–Based Predictive Models for Dynamic Modulus and Phase Angle of Asphalt Mixtures
    typeJournal Article
    journal volume151
    journal issue4
    journal titleJournal of Transportation Engineering, Part B: Pavements
    identifier doi10.1061/JPEODX.PVENG-1834
    journal fristpage04025047-1
    journal lastpage04025047-17
    page17
    treeJournal of Transportation Engineering, Part B: Pavements:;2025:;Volume ( 151 ):;issue: 004
    contenttypeFulltext
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