Machine learning techniques for evaluating concrete strength with waste marble powder

HIGHLIGHTS

• who: Nitisha Sharma et al. from the Department of Civil Engineering, Shoolini University, Solan, Himachal Pradesh, India have published the research work: Machine Learning Techniques for Evaluating Concrete Strength with Waste Marble Powder, in the Journal: Materials 2022, 5811 of /2022/
• what: The aim of the research is to predict the compressive and flexural strengths of the concrete mix by using waste marble powder as a partial replacement of cement and sand based on the experimental data that was acquired from the laboratory tests. To accomplish the goal the models of Support vector machines Support . . .
  

   

  

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