Experimental and numerical study of the impact of ambient air humidity on mortar cement durability using a static gravimetric method.

Autor: Bahammou, Younes, Kouhila, Mounir, Babaharra, Oumayma, Tagnamas, Zakaria, Lamsyehe, Hamza, Lamharrar, Abdelkader, Idlimam, Raja
Předmět:
Zdroj: Heat & Mass Transfer; Jan2024, Vol. 60 Issue 1, p1-19, 19p
Abstrakt: Most building materials exhibit hygroscopic behavior, wherein they absorb or release moisture from the surrounding environment until equilibrium is reached. This behavior can lead to expansion and shrinkage of the building materials, posing a risk of cracking mortar structures at an early stage. This research aims to enhance our understanding and control of the hydrothermal behavior of mortar by incorporating sorption phenomena and intrinsic its characteristics. The goal is to predict the behavior of mortar structures in relation to environmental factors and minimize the occurrence of cracks and ruptures. The hygroscopic behavior can be characterized by sorption isotherms, which describe the moisture adsorption and desorption over a relative humidity range of 0% to 95%. Experimental data obtained through the standard static gravimetric method were successfully utilized to determine the hygroscopic properties of mortar cement. The results demonstrated that the sorption behavior of mortar can be estimated based on its specific area, enabling prediction of the sorption behavior of the studied building material. The spreading pressure and average pore radius of mortar increase with rising relative humidity at a given temperature, resulting in surface shrinkage. Moreover, the increase in average pore volume in high relative humidity areas leads to various pathologies in building materials, particularly affecting their durability. The numerical values of the mean pore radius for mortar cement align with the experimental results, indicating an exponential relationship between the average pore radius and the relative humidity in the range of 1% to 90%. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index