Predictions of compression capacity of randomly corroded WHSJs based on artificial neural network
Sign Up to like & getrecommendations! Published in 2020 at "Mechanics of Advanced Materials and Structures"
DOI: 10.1080/15376494.2020.1852457
Abstract: Welded hollow spherical joints (WHSJs) are commonly used in reticulated shell structures. Corrosion on the surface of WHSJs can remarkably reduce their compression capacity. Pitting corrosion is a ... read more here.
Keywords: corroded whsjs; capacity; compression capacity; randomly corroded ... See more keywords
Estimating the Axial Compression Capacity of Concrete-Filled Double-Skin Tubular Columns with Metallic and Non-Metallic Composite Materials
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DOI: 10.3390/ma15103567
Abstract: This research focuses on estimating the ACC (axial compression capacity) of concrete-filled double-skin tubular (CFDST) columns. The study utilised algorithms and ‘six’ evaluation methods (XGBoost, AdaBoost, Lasso, Ridge, Random Forest Regressor and artificial neural network… read more here.
Keywords: capacity concrete; double skin; concrete filled; filled double ... See more keywords