The non-destructive tests on concrete with certain limitations used in accessing the limited properties of the concrete, and on cement mortar mass as of date there are no non destructive site test for assessing its strength parameters. To address these issues, a mathematical model was developed in predicting the mechanical properties of concrete Viz., compressive strength, tensile strength, split tensile strength, Impact strengths, shear strength, elasticity modulus, and in Cement mortar the model will be used in predicting the strength parameters of cement mortar. The statistical model of regression technique was employed on the concrete made of different types of aggregates i.e. a set of concrete prepared with that of conventional aggregates, the other set made of untreated recycled coarse and fine aggregates, and the final set made of treated (densified) coarse and fine recycled aggregates, the details of the chemical composition were obtained by processing the different concrete /mortar mass through XRD. Further regression methods were also employed in predicting the mechanical properties of the concrete /mortar mass from the chemical composition of the aggregate mass used in its preparation. The so developed mathematical model found to be an effective tool in assessing the condition of concrete /mortar mass from its chemical composition.
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