Determination of Temperature-Moisture Relationship by Linear Regression Models on Masonry and Floor, Kruja, Albania


  •   Klodjan Anesti Xhexhi

  •   Andrea Maliqari

  •   Paul Louis Meunier


Kruja is a middle range city located in the center of Albania. The city of Kruja dates back to its existence from the  V-VI century and extends to the city around the VI and IX centuries. It becomes the first capital of Albania in the  XI-th century, specifically in 1190. This paper is going to deal with only two groups of buildings which are an integral part of the historical city of Kruja, the historical dwellings (XVIII century) and socialist ones (1960-1970).The aim of this paper is to analyze through linear regressions the relation between two parameters: moisture level and temperature of the indoor walls and floors of the historic and socialist buildings in the city of Kruja. Three types of historic dwelling and three types of socialist apartments have been analyzed, relatively uniformly oriented. The measurements with specific instruments are done in the same day, during three hours. The degree of reactivity is different for both groups of buildings. The historical buildings are more sensitive to temperature rise. They respond invers to it (as the temperature rise, the level of the moisture decreases), with a higher coefficient than socialist ones and appear to be more efficient in reducing the moisture level, despite the average humidity level is higher. This paper takes into consideration also the analyze of the materials of the construction for both categories. If the level of the moisture is reduced, the buildings will be improved and the quality of life indicators of the inhabitance will be improved too.

Keywords: Building Materials, Linear Regression Models, Moisture Content, Temperature


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How to Cite
Xhexhi, K., Maliqari, A. and Meunier, P. 2020. Determination of Temperature-Moisture Relationship by Linear Regression Models on Masonry and Floor, Kruja, Albania. European Journal of Engineering and Technology Research. 5, 4 (Apr. 2020), 421-428. DOI: