THE OPTIMIZATION OF PERVIOUS CONCRETE STRUCTURE TO PREVENT CLOGGING BY ANALYTICAL MODELING

ABSTRACT

Pervious concrete has emerged as a sustainable solution for storm water management, offering benefits in terms of water runoff reduction and pollutant filtration. However, challenges related to clogging and diminished permeability over time have limited its widespread adoption. This research project aims to address these challenges by exploring innovative methods to enhance pervious concrete. The primary objective is to develop strategies that improve its resistance to clogging while maintaining optimal permeability, thereby ensuring sustained effectiveness in storm water applications. This research project focuses on optimizing pervious concrete through analytical modeling to address challenges such as clogging and reduced permeability. The primary objective is to develop analytical models that enhance the performance of pervious concrete while mitigating these issues. The methodology involves utilizing Darcy's Law and other analytical tools to develop models that simulate the behavior of pervious concrete under various conditions. Parameters such as permeability, cross-sectional area, fluid viscosity, pressure gradient, and length will be analyzed to optimize the design and composition of pervious concrete structures.The expected outcome of this research is the development of optimized designs and parameter values that improve the resistance of pervious concrete to clogging while maintaining optimal permeability. These findings will contribute to the advancement of analytical modeling techniques for pervious concrete, providing valuable insights for sustainable stormwater management.