基于数据驱动方法的复合固体推进剂多尺度力学行为研究综述

IF 1.7 4区 工程技术 Q3 CHEMISTRY, APPLIED
Bin Yuan, Hongfu Qiang, Xueren Wang, Tiezhu Chen
{"title":"基于数据驱动方法的复合固体推进剂多尺度力学行为研究综述","authors":"Bin Yuan, Hongfu Qiang, Xueren Wang, Tiezhu Chen","doi":"10.1002/prep.202300287","DOIUrl":null,"url":null,"abstract":"Composite solid propellant is a kind of viscoelastic composite with high filling ratio and multi‐scale composition characteristics, and its macroscopic mechanical properties strongly depend on the microstructure of the propellant materia. However, with the increasing complexity of composition, structure and properties of composite solid propellants, the traditional research paradigm based on experimental observation, theoretical modeling and numerical simulation has encountered new scientific challenges and technical bottlenecks in the mechanical behavior analysis, charge design and manufacturing of composite solid propellants. Among them, the problems such as insufficient experimental observation, lack of theoretical model, limited numerical analysis and difficult verification of results restrict the development of composite solid propellants in future‐oriented engineering applications to a certain extent. The data‐driven computational mechanics method can directly establish complex relationships between variables from high‐dimensional and high‐throughput data, which can capture trends that are difficult to be found by traditional mechanics research methods, and has inherent advantages in the analysis, prediction and optimization of complex systems. This paper mainly reviews and evaluates the research of neural network based modeling, model‐free data‐driven calculation and data‐driven multi‐scale calculation, which provides the correct direction for the subsequent research of multi‐scale mechanical behavior of composite solid propellants based on data‐driven.","PeriodicalId":20800,"journal":{"name":"Propellants, Explosives, Pyrotechnics","volume":null,"pages":null},"PeriodicalIF":1.7000,"publicationDate":"2024-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Review of multi‐scale mechanical behavior research on composite solid propellants based on data‐driven approach\",\"authors\":\"Bin Yuan, Hongfu Qiang, Xueren Wang, Tiezhu Chen\",\"doi\":\"10.1002/prep.202300287\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Composite solid propellant is a kind of viscoelastic composite with high filling ratio and multi‐scale composition characteristics, and its macroscopic mechanical properties strongly depend on the microstructure of the propellant materia. However, with the increasing complexity of composition, structure and properties of composite solid propellants, the traditional research paradigm based on experimental observation, theoretical modeling and numerical simulation has encountered new scientific challenges and technical bottlenecks in the mechanical behavior analysis, charge design and manufacturing of composite solid propellants. Among them, the problems such as insufficient experimental observation, lack of theoretical model, limited numerical analysis and difficult verification of results restrict the development of composite solid propellants in future‐oriented engineering applications to a certain extent. The data‐driven computational mechanics method can directly establish complex relationships between variables from high‐dimensional and high‐throughput data, which can capture trends that are difficult to be found by traditional mechanics research methods, and has inherent advantages in the analysis, prediction and optimization of complex systems. This paper mainly reviews and evaluates the research of neural network based modeling, model‐free data‐driven calculation and data‐driven multi‐scale calculation, which provides the correct direction for the subsequent research of multi‐scale mechanical behavior of composite solid propellants based on data‐driven.\",\"PeriodicalId\":20800,\"journal\":{\"name\":\"Propellants, Explosives, Pyrotechnics\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.7000,\"publicationDate\":\"2024-03-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Propellants, Explosives, Pyrotechnics\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1002/prep.202300287\",\"RegionNum\":4,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"CHEMISTRY, APPLIED\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Propellants, Explosives, Pyrotechnics","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1002/prep.202300287","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"CHEMISTRY, APPLIED","Score":null,"Total":0}
引用次数: 0

摘要

复合固体推进剂是一种具有高填充率和多尺度组成特征的粘弹性复合材料,其宏观力学性能与推进剂材料的微观结构密切相关。然而,随着复合固体推进剂组成、结构和性能的日益复杂,基于实验观测、理论建模和数值模拟的传统研究范式在复合固体推进剂的力学行为分析、装药设计和制造等方面遇到了新的科学挑战和技术瓶颈。其中,实验观测不足、理论模型缺乏、数值分析有限、结果验证困难等问题在一定程度上制约了复合固体推进剂在面向未来工程应用领域的发展。数据驱动的计算力学方法可以直接从高维、高通量的数据中建立变量之间的复杂关系,可以捕捉到传统力学研究方法难以发现的趋势,在复杂系统的分析、预测和优化方面具有先天优势。本文主要对基于神经网络建模、无模型数据驱动计算和数据驱动多尺度计算的研究进行了综述和评价,为后续基于数据驱动的复合固体推进剂多尺度力学行为研究提供了正确的方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Review of multi‐scale mechanical behavior research on composite solid propellants based on data‐driven approach
Composite solid propellant is a kind of viscoelastic composite with high filling ratio and multi‐scale composition characteristics, and its macroscopic mechanical properties strongly depend on the microstructure of the propellant materia. However, with the increasing complexity of composition, structure and properties of composite solid propellants, the traditional research paradigm based on experimental observation, theoretical modeling and numerical simulation has encountered new scientific challenges and technical bottlenecks in the mechanical behavior analysis, charge design and manufacturing of composite solid propellants. Among them, the problems such as insufficient experimental observation, lack of theoretical model, limited numerical analysis and difficult verification of results restrict the development of composite solid propellants in future‐oriented engineering applications to a certain extent. The data‐driven computational mechanics method can directly establish complex relationships between variables from high‐dimensional and high‐throughput data, which can capture trends that are difficult to be found by traditional mechanics research methods, and has inherent advantages in the analysis, prediction and optimization of complex systems. This paper mainly reviews and evaluates the research of neural network based modeling, model‐free data‐driven calculation and data‐driven multi‐scale calculation, which provides the correct direction for the subsequent research of multi‐scale mechanical behavior of composite solid propellants based on data‐driven.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Propellants, Explosives, Pyrotechnics
Propellants, Explosives, Pyrotechnics 工程技术-工程:化工
CiteScore
4.20
自引率
16.70%
发文量
235
审稿时长
2.7 months
期刊介绍: Propellants, Explosives, Pyrotechnics (PEP) is an international, peer-reviewed journal containing Full Papers, Short Communications, critical Reviews, as well as details of forthcoming meetings and book reviews concerned with the research, development and production in relation to propellants, explosives, and pyrotechnics for all applications. Being the official journal of the International Pyrotechnics Society, PEP is a vital medium and the state-of-the-art forum for the exchange of science and technology in energetic materials. PEP is published 12 times a year. PEP is devoted to advancing the science, technology and engineering elements in the storage and manipulation of chemical energy, specifically in propellants, explosives and pyrotechnics. Articles should provide scientific context, articulate impact, and be generally applicable to the energetic materials and wider scientific community. PEP is not a defense journal and does not feature the weaponization of materials and related systems or include information that would aid in the development or utilization of improvised explosive systems, e.g., synthesis routes to terrorist explosives.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信