Study on Toughening and Temperature Sensitivity of Polyurethane Cement (PUC)
1School of Transportation Civil Engineering, Shandong Jiaotong University, Jinan 250357, China.
Materials (Basel, Switzerland)
|June 24, 2022
Summary
Polyurethane cement (PUC) toughness is enhanced using PVA, carbon, and steel fibers. Flexural strength was optimized across temperatures, and a predictive model was developed.
Area of Science:
- Materials Science
- Civil Engineering
- Structural Engineering
Background:
- Polyurethane cement (PUC) is widely used for reinforcing aging bridges.
- PUC exhibits limitations including poor toughness, temperature-dependent properties, and brittle failure, risking structural integrity.
- These issues can compromise reinforcement effectiveness and lead to bridge collapse.
Purpose of the Study:
- To enhance the toughness and improve the mechanical properties of PUC.
- To investigate the flexural strength of fiber-reinforced PUC under varying temperatures (-40°C to +40°C).
- To develop a predictive model for PUC flexural strength based on fiber content and temperature.
Main Methods:
- Incorporation of polyvinyl alcohol (PVA) fiber, carbon fiber, and steel fiber into PUC.
- Conducting flexural tests and scanning electron microscopy (SEM) analyses.
- Developing a two-factor (fiber content, temperature) Backpropagation (BP) neural network model.
Main Results:
- Optimal fiber volume ratios identified: 0.3% for PVA, 0.04% for carbon, and 1% for steel.
- Flexural strength initially increased with fiber content, then decreased, with excessive amounts negatively impacting properties.
- Flexural strength decreased as temperature increased for both fiber-reinforced and control samples.
- The BP neural network model accurately predicted flexural strength, showing good agreement with experimental data.
Conclusions:
- Fiber reinforcement significantly improves PUC toughness and mechanical performance within optimal ratios.
- Temperature negatively affects the flexural strength of PUC, necessitating consideration in structural design.
- The developed BP neural network model provides an effective tool for predicting PUC flexural strength, aiding in structural analysis and design.
Keywords:
BP neural networkPVA fibercarbon fiberpolyurethane cement (PUC)steel fibertemperature sensitivityMore Related Videos
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