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What is the relation between the Coefficient of thermal expansion of concrete and the coefficient of thermal expansion in aggregates?

Correct Answer: Directly proportional
The coefficient of thermal expansion refers to either expansion or contraction of a material with temperature. The coefficient of thermal expansion rises in tandem with aggregates’ coefficient of thermal expansion, and vice versa.

Coefficient of thermal expansion of concrete is __________ coefficient of thermal expansion in aggregates.

Coefficient of thermal expansion of concrete is ________ coefficient of thermal expansion in aggregates.

Solid concrete blocks are obtained from lightweight aggregates while hollow concrete blocks are obtained from heavy aggregates.

The coefficient of thermal expansion of concrete is similar to that of steel, eliminating large internal stresses due to differences in thermal expansion or contraction.

The coefficient of thermal expansion of concrete is very small to that of steel, eliminating large internal stresses due to differences in thermal expansion or contraction.

Experimental results indicate that the local heat transfer coefficient h g for flow over a flat plate with an extremely rough surface is approximated by the relation h x = a x -0.12 Where a is a constant coefficient and x is distance from the leading edge of the plate. What is the relation between this local heat transfer coefficient and the average heat transfer coefficient for a plate of length x?

What is the relation between coefficient of area expansion(A) and coefficient of volume expansion(B)?

For majority of aggregates, the coefficient of thermal expansion lies between approximately ____________

If the coefficient of thermal expansion of coarse aggregates and cement paste differs too much, then what happen?

Which of the following statements are true?
1. The coefficient of rank correlation has the same limits as the Karl Pearson's coefficient of correlation.
2. The coefficient of correlation is independent of the change of origin but not of scale.
3. The covariance between $$X$$ and $$Y$$ is defined as $$\frac{{\sum {xy} }}{n}$$ where, $$x = \left( {X - \overline X } \right),y = \left( {Y - \overline Y } \right)$$      and $$n = $$ no. of paired observations.
4. $${b_{xy}}$$ is called regression coefficient of $$X$$ variable on $$Y$$ variable.
5. If $${b_{xy}}$$ is 0.4 and $${b_{yx}}$$ is 1.6, coefficient of determination would be 0.8.
Select the correct answer: