The current cracking risk assessment mainly relies on the coupled simulation technology of temperature field and stress field.
Li Fazhang et al.
used MIDASFEA software to simulate the temperature spatiotemporal distribution of the bottom plate of Xijin Ship Lock under different molding temperatures and layer thicknesses.
Combined with the constrained stress model, they quantified the cracking risk and proved that reducing the molding temperature (better than adjusting the layer thickness) is the key to controlling cracks.
Liu Yi and others proposed intelligent monitoring technology, which constructs a predictive model by collecting real-time temperature data to achieve dynamic warning and regulation.
After comparing traditional models, Tong Liyong and others developed a new prediction model with stable error (<0.
15), providing a new tool for quality supervision of large volume concrete.
.