Forecasting the analysis of concrete compressive strength, mass and NDT results using ARIMA model

What is it about?

The main objective of the study is to predict the Compressive Strength, Mass and NDT results by using the Predictive Analytics such as ARIMA model. In this study, the experiments were conducted for seventy-five hours of compressive strength of concrete blocks by Rebound Hammer test which is performed in the concrete technology laboratory. The experimental researches were conducted for determining the ninety hours of compressive strength of concrete by using ARIMA model. Findings of the Autoregressive Integrated Moving Average (ARIMA) model represent the most important variables to use in order to build a prediction model that can estimate the compressive strength, Mass, NDT results for 90 days. The ARIMA model (with Expert Modeler) coefficients are described as ARIMA (0,1,14). The study uses ARIMA model with Expert Modeler to choose the most significant variables that Box and Jenkins be used to build a prediction model in SPSS that can estimate CS, Mass, NDT of concrete results. The results reveal that the best ARIMA model can be formulized as ARIMA (0,1,14).

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Why is it important?

We define rules for determining which of a molecule's conformational options will be adopted in its crystal structure. This is important in crystal engineering, to anticipate crystal packing and engineer crystals to exhibit targeted structures and properties. Two significant findings are that: a) molecules often do not adopt their lowest energy conformer in the solid state and b) we identify and quantify a preference for molecules to adopt extended conformations in the solid state.

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