🕑 Reading time: 1 minute
Compressive strength of mortar is determined by using 2 inch or 50mm cubes as per ASTM C109 / C109M - Standard Test Method for Compressive Strength of Hydraulic Cement Mortars. Mortar is a combination of cement, sand mixed with water. It is used for masonry works such as brick masonry and stone masonry and for plastering walls, columns etc. Common mix ratio of mortar used in masonry works are 1:3, 1:4 and 1:6 of cement to sand ratio. For important masonry structures such as brick walls, 1:3 ratio is used.Contents:
Why Compressive Strength Test of Mortar is Important?
Generally masonry structures are constructed as load bearing. For example, load bearing walls, load bearing masonry columns etc. are constructed for residential and other masonry buildings. For a masonry buildings, foundations are also constructed with brick masonry. For a load bearing masonry construction, it is important to know the compressive strength requirement of masonry to withstand the load subjected on it. A masonry wall is subjected to compressive loads from floors above it and should have sufficient strength to withstand it. So, masonry compressive strength should be enough to support the loads on wall.
Determination of Compressive Strength of Mortar
To find the compressive strength of standard cement sand mortar cubes, following are the apparatus and procedures of the test.Apparatus
7.06cm cubes moulds (50cm2 face area), apparatus for gauging and mixing mortar, vibrator, compression testing machine etc.Procedure for Compressive Strength of Mortar
Take 200gm of cement and 600gm of standard sand in the mix ratio 1:3 by weight) in a pan. The standard sand shall be of quartz, of light, gray or whitish variety and shall be free from silt. The sand grains shall be angular, the shape of grains approximating to the spherical form, elongated and flattened grains being present only in very small quantities. Standard sand shall pass through 2 mm IS sieve and shall be retained on 90 microns IS sieve with the following particle size distribution.