Análisis de estructuras

Uribe Escamilla, Jairo | 1991

Análisis de estructuras

Uribe Escamilla, Jairo | 2000

Esta es la segunda edición revisada y actualizada de esta magnífica obra que trata los fundamentos de la teoría de estructuras y los métodos tradicionales para el análisis de todo tipo de estructuras reticulares, y el aprendizaje de las técnicas de análisis tradicionales y modernas. Hace énfasis en los conceptos fundamentales de la ingeniería estructural y en el estudio de los métodos más adecuados para cada tipo de problema. Gran parte del libro está dedicada al análisis matricial, que constituye la herramienta más apropiada para el análisis de estructuras utilizando computadores.

Machine Learning Prediction of Flexural Behavior of UHPFRC

Abellán García, Joaquín | 2020

To evaluate the possibility of predicting the flexural behaviour of UHPFRC, four analytical models were developed, based on artificial neural networks (ANN), to predict the first cracking tension or Limit of Proportionality (LOP), its corresponding deflection (δLOP), ultimate strength or Modulus of Rupture (MOR), and its corresponding deflection (δMOR) of UHPFRC under bending test. The models that were composed of an input level, one output level, and four hidden levels were developed through the R platform. The input level applied the most significative Principal Components (PC) of a large dimension of input dataset. To avoid overfitting K-fold validation and l2 regularization was used. After the models were created, an improvement based on assembling of models by incorporating the predicted values in the dataset of features. The results indicated that the developed assembling models have a good accuracy for the prediction of the behaviour of UHPFRC under three or four points bending test, even when containing supplementary cementitious materials and hybrid mixture of fibers.