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