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MATLAB for Machine Learning by Giuseppe Ciaburro

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Data fitting for predicting the quality of concrete

Concrete is the most important material in civil engineering. Its compressive strength is a highly nonlinear function of age and ingredients. These ingredients include cement, blast furnace slag, fly ash, water, superplasticizer, coarse aggregate, and fine aggregate. The test to calculate compressive strength is carried out either on a concrete cube or cylinder through the use of a compression testing machine (2000 kN). The test is destructive and takes a long time, so the possibility of predicting the compressive strength takes on a significant importance. The following figure shows a compressive strength test:

Figure 9.1: The concrete compressive strength test

In this study we want to ...

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