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Bi-level Hybrid Uncertainty Quantification in Fatigue Analysis: S-N Curve Approach
Published 2020-09-01Get full text
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Surface crack growth subject to bending and biaxial tension-compression
Published 2016-01-01Get full text
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Hybrid machine learning-enabled multivariate bridge-specific seismic vulnerability and resilience assessment of UHPC bridges
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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Reinforced Soft Soil by CSV with/without Polypropylene fibres: Experimental and Numerical analysis.
Published 2021-12-01Get full text
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Nonlinear Torsional Vibration of Size-Dependent Functionally Graded Rods
Published 2024-04-01Get full text
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Vibration Characteristics of Functionally Graded Micro-Beam Carrying an Attached Mass
Published 2020-04-01Get full text
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Prediction of CRISPR-Cas9 on-target activity based on a hybrid neural network
Published 2025-01-01Get full text
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Determination of Substructure and Sub-ballast Layer Thickness of High-Speed Railway
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
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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