{"title":"基于离散元法的固体推进剂时间依赖行为及配方比较","authors":"Yu Pan, Xihua Chu, Li Xiao","doi":"10.1016/j.partic.2025.08.019","DOIUrl":null,"url":null,"abstract":"<div><div>Solid propellant is a high-energy composite material composed of solid particles, which can exhibit time dependent behaviors such as creep and stress relaxation during long-term storage. To model and analyze time dependent behavior of solid propellants, the modified soft-bond model (MSBM) based on the rate process theory (RPT) was implemented in Particle Flow Code (PFC). Numerical results show the predicted creep and stress relaxation behaviors by MSBM are in good agreement with experimental data, demonstrating that the MSBM can accurately capture time dependent behaviors in solid propellants. Furthermore, three categories of DEM samples were generated by varying formulations such as particle size, volume fraction and gradation, and a damage parameter was constructed to assess the characteristics of creep and stress relaxation. Among all formulations, the DEM simulation identified the graded formulation exhibiting the minimal damage parameter and optimal creep and stress relaxation resistance. These findings provide guidance for formula design of solid propellant.</div></div>","PeriodicalId":401,"journal":{"name":"Particuology","volume":"106 ","pages":"Pages 81-98"},"PeriodicalIF":4.3000,"publicationDate":"2025-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Time dependent behaviors and formulation comparison of solid propellants based on discrete element method\",\"authors\":\"Yu Pan, Xihua Chu, Li Xiao\",\"doi\":\"10.1016/j.partic.2025.08.019\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Solid propellant is a high-energy composite material composed of solid particles, which can exhibit time dependent behaviors such as creep and stress relaxation during long-term storage. To model and analyze time dependent behavior of solid propellants, the modified soft-bond model (MSBM) based on the rate process theory (RPT) was implemented in Particle Flow Code (PFC). Numerical results show the predicted creep and stress relaxation behaviors by MSBM are in good agreement with experimental data, demonstrating that the MSBM can accurately capture time dependent behaviors in solid propellants. Furthermore, three categories of DEM samples were generated by varying formulations such as particle size, volume fraction and gradation, and a damage parameter was constructed to assess the characteristics of creep and stress relaxation. Among all formulations, the DEM simulation identified the graded formulation exhibiting the minimal damage parameter and optimal creep and stress relaxation resistance. These findings provide guidance for formula design of solid propellant.</div></div>\",\"PeriodicalId\":401,\"journal\":{\"name\":\"Particuology\",\"volume\":\"106 \",\"pages\":\"Pages 81-98\"},\"PeriodicalIF\":4.3000,\"publicationDate\":\"2025-09-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Particuology\",\"FirstCategoryId\":\"88\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1674200125002299\",\"RegionNum\":2,\"RegionCategory\":\"材料科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENGINEERING, CHEMICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Particuology","FirstCategoryId":"88","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1674200125002299","RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, CHEMICAL","Score":null,"Total":0}
Time dependent behaviors and formulation comparison of solid propellants based on discrete element method
Solid propellant is a high-energy composite material composed of solid particles, which can exhibit time dependent behaviors such as creep and stress relaxation during long-term storage. To model and analyze time dependent behavior of solid propellants, the modified soft-bond model (MSBM) based on the rate process theory (RPT) was implemented in Particle Flow Code (PFC). Numerical results show the predicted creep and stress relaxation behaviors by MSBM are in good agreement with experimental data, demonstrating that the MSBM can accurately capture time dependent behaviors in solid propellants. Furthermore, three categories of DEM samples were generated by varying formulations such as particle size, volume fraction and gradation, and a damage parameter was constructed to assess the characteristics of creep and stress relaxation. Among all formulations, the DEM simulation identified the graded formulation exhibiting the minimal damage parameter and optimal creep and stress relaxation resistance. These findings provide guidance for formula design of solid propellant.
期刊介绍:
The word ‘particuology’ was coined to parallel the discipline for the science and technology of particles.
Particuology is an interdisciplinary journal that publishes frontier research articles and critical reviews on the discovery, formulation and engineering of particulate materials, processes and systems. It especially welcomes contributions utilising advanced theoretical, modelling and measurement methods to enable the discovery and creation of new particulate materials, and the manufacturing of functional particulate-based products, such as sensors.
Papers are handled by Thematic Editors who oversee contributions from specific subject fields. These fields are classified into: Particle Synthesis and Modification; Particle Characterization and Measurement; Granular Systems and Bulk Solids Technology; Fluidization and Particle-Fluid Systems; Aerosols; and Applications of Particle Technology.
Key topics concerning the creation and processing of particulates include:
-Modelling and simulation of particle formation, collective behaviour of particles and systems for particle production over a broad spectrum of length scales
-Mining of experimental data for particle synthesis and surface properties to facilitate the creation of new materials and processes
-Particle design and preparation including controlled response and sensing functionalities in formation, delivery systems and biological systems, etc.
-Experimental and computational methods for visualization and analysis of particulate system.
These topics are broadly relevant to the production of materials, pharmaceuticals and food, and to the conversion of energy resources to fuels and protection of the environment.