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    Hybrid machine learning-enabled multivariate bridge-specific seismic vulnerability and resilience assessment of UHPC bridges by Tadesse G. Wakjira, M. Shahria Alam

    Published 2025-06-01
    “…Efficient seismic vulnerability and resilience assessment is essential for ultra-high-performance concrete (UHPC) bridges, given their distinctive mechanical and structural properties. However, existing single-parameter-based probabilistic seismic demand (PSD) models overlook critical bridge‐specific characteristics and uncertainties. …”
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    Determination of Substructure and Sub-ballast Layer Thickness of High-Speed Railway by Tran Anh DUNG, Pham Van KY, Le Hai HA

    Published 2024-12-01
    “…A well-designed trackbed ensures the structural integrity of the railway system, sufficient load-bearing capacity, and cost-effective construction. …”
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    Prediction of Compressive Strength by Considering Practical Consideration Non-destructive Test by Artificial Neural Network by Priyesh GANGELE, Arun Kumar PATEL

    Published 2025-04-01
    “…Accurate assessment of concrete compressive strength is critical for evaluating structural performance. While nondestructive testing (NDT) methods, such as Schmidt rebound hammer tests, offer rapid and NDT gives result with reasonable accurate based on environmental factors such as temperature, humidity etc of site and condition in which test is performed.  …”
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