Analysis of nanomaterial-enhanced concrete durability and explore its biomechanical implications based on molecular dynamics simulation

The purpose of this paper is to analyze the influence, application potential and biomechanical significance of nano-materials on the durability of concrete by means of molecular dynamics simulation. In this study, the whale optimization algorithm-back propagation neural network (WOA-BPNN) model was used to predict and optimize the optimal content of different nano-additives in concrete. The results show that these nano-materials can effectively reduce the chloride diffusion coefficient of concrete and improve its impermeability and durability, among which nano-silica is the most outstanding. By discussing the action mechanism of nano-materials, it is found that they can penetrate into the microstructure of concrete, reduce pores, enhance compactness, and improve the chemical stability of concrete through chemical reactions. Although the application of nano-materials faces challenges in cost, dispersion and stability, it shows great potential in improving the durability and biomechanical properties of concrete, which provides a new way for the modification and optimization of concrete materials. The research results play an important role in promoting the application of nano-materials in concrete field and improving the safety and service life of building structures.