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In this study, a rapid algorithm is proposed to efficiently predict the damage of target structures subjected to internal explosions. Firstly, a data-driven approach was used to obtain the quasi-static peak pressure of the blast-loaded chamber based on a large amount of experimental data. The variation of the gas mass in each chamber was obtained using a pressure relief algorithm. The SDOF method was used to calculate the deformation of the wall plates to further calculate the change in volume and open area of the chamber. The change in pressure was calculated using the ideal gas equation of state. The proposed algorithm was then used to calculate the pressure change and wall deformation in each box. The results were compared with existing experimental data and found to be in good agreement. Finally, the results of the proposed algorithm are visualized, and the effects of different influencing factors such as explosion equivalent, cavity size, and wall thickness on the failure characteristics of multi-box structures were studied. [ABSTRACT FROM AUTHOR]

Non-coking coal (NC) and petroleum coke (PC) were mixed in different ratios, and then silica (HBS) with different particle sizes was added to the mixture. Composite carbonaceous reducing agent pellets were prepared by cold pressing. The particle size of raw materials was divided into 80–100 mesh (81MR) and 100–200 mesh (12MR). The effects of four kinds of silica particle size ranges, 40–80 mesh (48 M), 80–100 mesh (81 M), 100–200 mesh (12 M), > 200 mesh (20 M), silica contents 0–5%, and molding pressures 5–25 MPa on the cold strength of pellets with different particle sizes were studied. The optimal processing conditions were a forming pressure of 20 MPa, powder particle size of 12MR, and NC: PC ratio of 7: 3. The addition of 2% of 12 M silica increased the pellet strength to over 9 MPa. The morphology and structure of different carbon materials were characterized by FESEM, FTIR, XPS, and XRD. The results showed that the reason for the difference in pellet performance was the degree of occlusion of the internal particle size of the pellets, and the amounts of surface functional groups and graphitization. [ABSTRACT FROM AUTHOR]