Vision-based survey method for extraordinary loads on buildings

Frontiers of Structural and Civil Engineering 2024, Volume 18, Issue 6,   Pages 815-831 doi:10.1007/s11709-024-1029-7

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Forecasting measured responses of structures using temporal deep learning and dual attention

Frontiers of Structural and Civil Engineering 2024, Volume 18, Issue 6,   Pages 832-850 doi:10.1007/s11709-024-1092-0

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Structural performance of flexible freeform panels subjected to wind loads

Frontiers of Structural and Civil Engineering 2024, Volume 18, Issue 6,   Pages 851-869 doi:10.1007/s11709-024-1070-6

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Prediction of bearing capacity of pile foundation using deep learning approaches

Frontiers of Structural and Civil Engineering 2024, Volume 18, Issue 6,   Pages 870-886 doi:10.1007/s11709-024-1085-z

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Deep learning based water leakage detection for shield tunnel lining

Frontiers of Structural and Civil Engineering 2024, Volume 18, Issue 6,   Pages 887-898 doi:10.1007/s11709-024-1071-5

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Application of extreme gradient boosting in predicting the viscoelastic characteristics of graphene oxide modified asphalt at medium and high temperatures

Frontiers of Structural and Civil Engineering 2024, Volume 18, Issue 6,   Pages 899-917 doi:10.1007/s11709-024-1025-y

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Experimental and numerical investigation of the flexural performance of channel steel-bolt joint for prefabricated subway stations

Frontiers of Structural and Civil Engineering 2024, Volume 18, Issue 6,   Pages 918-935 doi:10.1007/s11709-024-1068-0

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Laboratory evaluation of high-friction thin overlays for pavement preservation

Frontiers of Structural and Civil Engineering 2024, Volume 18, Issue 6,   Pages 936-948 doi:10.1007/s11709-024-0992-3

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A cumulative damage model for predicting and assessing raveling in asphalt pavement using an energy dissipation approach

Frontiers of Structural and Civil Engineering 2024, Volume 18, Issue 6,   Pages 949-962 doi:10.1007/s11709-024-1074-2

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