Laboratory evaluation of high-friction thin overlays for pavement preservation.
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- Frontiers of Structural & Civil Engineering, 2024, v. 18, n. 6, p. 936, doi. 10.1007/s11709-024-0992-3
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Works in Frontiers of Structural & Civil Engineering, 2024, Vol 18, Issue 6
Results: 9
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Forecasting measured responses of structures using temporal deep learning and dual attention.
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- Frontiers of Structural & Civil Engineering, 2024, v. 18, n. 6, p. 832, doi. 10.1007/s11709-024-1092-0
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- Article
3
Prediction of bearing capacity of pile foundation using deep learning approaches.
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- Frontiers of Structural & Civil Engineering, 2024, v. 18, n. 6, p. 870, doi. 10.1007/s11709-024-1085-z
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4
A cumulative damage model for predicting and assessing raveling in asphalt pavement using an energy dissipation approach.
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- Frontiers of Structural & Civil Engineering, 2024, v. 18, n. 6, p. 949, doi. 10.1007/s11709-024-1074-2
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5
Deep learning based water leakage detection for shield tunnel lining.
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- Frontiers of Structural & Civil Engineering, 2024, v. 18, n. 6, p. 887, doi. 10.1007/s11709-024-1071-5
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- Article
6
Structural performance of flexible freeform panels subjected to wind loads.
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- Frontiers of Structural & Civil Engineering, 2024, v. 18, n. 6, p. 851, doi. 10.1007/s11709-024-1070-6
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7
Experimental and numerical investigation of the flexural performance of channel steel-bolt joint for prefabricated subway stations.
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- Frontiers of Structural & Civil Engineering, 2024, v. 18, n. 6, p. 918, doi. 10.1007/s11709-024-1068-0
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8
Vision-based survey method for extraordinary loads on buildings.
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- Frontiers of Structural & Civil Engineering, 2024, v. 18, n. 6, p. 815, doi. 10.1007/s11709-024-1029-7
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9
Application of extreme gradient boosting in predicting the viscoelastic characteristics of graphene oxide modified asphalt at medium and high temperatures.
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- Frontiers of Structural & Civil Engineering, 2024, v. 18, n. 6, p. 899, doi. 10.1007/s11709-024-1025-y
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