Effect montmorillonite clay as aggregate in lightweight concrete cement-free

Light weight concrete has many advantages that can be used in the construction of buildings. Perhaps one of the most important of these features is its light weight, which contributes a lot to reducing stress on the soil, which provides the possibility of rising buildings and increasing the number of floors. In addition to its role in thermal insulation and its impact on reducing the consumption of energy sources in cooling and heating, light weight concrete is considered one of the sustainability factors in buildings. One of the second major factors in sustainability is to reduce or avoid the use of cement in the manufacture of this concrete, because of the harmful effects of cement on the environment and global warming. Cement-free concrete is considered a sustainable material in terms of its depletion of the waste materials and spin-off products from different industries apposite of consumption of natural resources in the cement industry (mud, limestone). In this research first aim is to produce lightweight cement-free concrete using pozolanic material and montmorillonite clay as coarse and fine aggregate. Studying some properties of producing light weight concrete (density, compression, tensile,) with different ages (7, 28, 56) days

Covid-19 Plasma Monitoring Based on Clustering a Large Set of Recovered Patient Data

A patient who has fully recovered from COVID-19 can help patients currently fighting infection by donating plasma. Because it is an infection killer, the plasma now contains antibodies against COVID-19. These antibodies provided the immune system with one way to fight the virus when it was sick, so plasma can be used to fight diseases. Therefore, this paper monitoring recovering patients based on the clustering of data and classifying them using fuzzy hierarchical clustering to reach the plasma as soon as possible

A Comparison Study of Observed and the CMIP5 Modelled Precipitation over Iraq 1941–2005

This paper presents an analysis of the annual precipitation observed by a network of 30 rain gauges in Iraq over a 65-year period (1941–2005). The simulated precipitation from 18 climate models in the CMIP5 project is investigated over the same area and time window. The Mann–Kendall test is used to assess the strength and the significance of the trends (if any) in both the simulations and the observations. Several exploratory techniques are used to identify the similarity (or disagreement) in the probability distributions that are fitted to both datasets. While the results show that large biases exist in the projected rainfall data compared with the observation, a clear agreement is also observed between the observed and modelled annual precipitation time series with respect to the direction of the trends of annual precipitation over the period

Groundwater detection and classification using remote sensing and GIS in Najaf, Iraq

Due to the shortage of fresh surface water caused by climate change, groundwater has become a vital water supply for household, agricultural, and industrial use. Alternative methods for determining groundwater depth, amount, and quality at a lower cost and less effort are critical. This study aims to determine the depth and kind of groundwater in Najaf City, Iraq, using Aqua detector remote sensing device. Thirty-nine sample locations were chosen in rural and urban regions to cover the city’s 441.23 square kilometres. Five geographic models of groundwater depth and type were created using the Inverse Distance Weighting (IDW) interpolation method in ArcGIS software. The results indicate that groundwater is available across the study region, beginning at 100â\u80¯m and lower depths. Additionally, it has been found that the nature of groundwater fluctuates with the location and depth. The findings of this study aid in selecting wells locations and depths in the study region that generate maximum quality and quantity of groundwater.Validerad;2022;Nivå 2;2022-09-19 (joosat);</p