A preliminary approach of dynamic identification of slender buildings by neuronal networks
文摘

Changes on the soil stiffness can change the main frequencies of a slender masonry structure.

A low-cost method is developed to analyze the water table depth variations under a slender masonry structures.

Neural networks validated with results of FEM presents a good correlation with the water table depth.

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