|
|
|
|
|
Sanaz Ramzi, Mohammad Javad Moradi and Hamzeh Hajiloo
In this study, an artificial neural network (ANN) model was developed to predict the compressive strength of concrete containing supplementary cementitious materials (SCMs) at high temperatures. For this purpose, 500 experimental results were collected f...
ver más
|
|
|
|
|
|
|
|
|
|
|
J.H.A Rocha,Y. Póvoas
Pág. Page 55 - 64
The objective of this study is to evaluate the capability of infrared thermography for delamination detection in different types of concrete. This methodology was experimental, where two test concrete specimens with water/cement ratios (w/c) of 0.50 and...
ver más
|
|
|
|
|
|
|
|
|
|
|
Eduardo González-Díaz, Elena Jaizme-Vega, Javier Jubera-Pérez
Pág. 231 - 239
The aim of this research is to assess the influence of the effective water-cement ratio on the concrete workability and strength. This study was carried out with a concrete used for the manufacture of concrete caissons for the construction of a harbour i...
ver más
|
|
|
|
|
|
|
|
|
|
|
Abel Castañeda, Juan José Howland Albear, Francisco Corvo, Rigoberto Marrero
Pág. 374 - 387
AbstractA study on concrete quality assessment before building structures submitting to environmental exposure conditions was carried out. It was necessary to determine the ultrasonic velocity pulse, compressive strength and percentage of effective capil...
ver más
|
|
|
|
|
|
|
|
|
|
|
Vinícius de Kayser Ortolan, Thayse Hilgert, Juan José Howland, Luis Silva, Bernardo Fonseca Tutikian
Pág. 238 - 248
Increasing the lifespan of structures is of great importance for civil construction, either because of economic aspects or security to the users. Corrosion of reinforcement is one of the most recurring problems, especially in environments with high chlor...
ver más
|
|
|
|
|
|