Performance Analysis of Bentonite-PVA Fiber Cement-Based Composites for Building Based on BP Neural Network

Abstract:

The paper will use BP neural network analysis method to study the thermal conductivity of bentonite and its influencing factors as a system. The heat conduction of bentonite was used as the output of the system, and its influencing factors were used as the system input to simulate. The corresponding simulation model was established to verify the thermal conductivity data. In addition, the analysis of the mechanical properties of the bentonite-PVA fiber cement-based composite materials for construction has not only laid a theoretical and realistic foundation for the prediction and simulation of the thermal conductivity of bentonite, but also has opened up the mechanical properties of the bentonite-PVA fiber cement-based composite materials a new path.

• Periodical: Key Engineering Materials (Volume 852)
• Pages: 209-219
• DOI: https://doi.org/10.4028/www.scientific.net/KEM.852.209
• Online since: July 2020
• Authors: Zhe Shen*
• Keywords: Bentonite, BP Neural Network, Mechanical Properties, PVA Fiber Cement-Based Composites, Thermal Conductivity

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