Evaluation and prediction methods for launch safety of propellant charge based on support vector regression

Zhao, Xin; Rui, Xiaoting; Li, Chao; Ma, Zhenzheng; Miao, Yunfei

doi:10.1016/j.asoc.2021.107527

Cited by 5 publications

(2 citation statements)

References 7 publications

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“…At the same time, the mechanical properties of CMDB propellant are complicated because of the addition of particles [5]. During the transportation, storage, and ignition of solid rocket motors, the propellant grain is subjected to various types of loads, resulting in a highly complicated internal stress distribution, which is overwhelmingly vulnerable to the risk of crack initiation, propagation, and fracture [6][7][8]. Damage in propellant grain frequently results in an unnatural increase in the burning surface of the propellant, which raises the gas pressure in the combustion chamber and increases the risk of an engine explosion.…”

Section: Introductionmentioning

confidence: 99%

Correlation between microstructural evolution and mechanical properties of CMDB propellant during uniaxial tension

Wu,

Liu,

et al. 2023

Propellants Explo Pyrotec

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Numerical simulation of the deformation and damage evolution process of composite modified double base (CMDB) propellant based on the microstructure is of great significance for improving its macro‐mechanical properties. The macro‐mechanical properties and damage evolution of CMDB propellant were studied experimentally and numerically in current work. To establish the correlation between microstructural evolution and the macro‐mechanical response of the propellant, a three‐dimensional microstructure model of the CMDB propellant was constructed utilizing the molecular dynamics particle filling approach. At the interface between RDX particles and the nitrocellulose‐nitroglycerine (NC‐NG) matrix, the conventional cohesive element was replaced by cohesive contact, and the parameters of the cohesive zone model (CZM) at the interface between the particles and the matrix were obtained by parameter inversion based on the Hooke‐Jeeves parameter optimization algorithm. The processes of damage initiation, propagation, convergence, and failure at the cohesive interface were simulated using the bilinear cohesive zone model (BCZM). The results revealed that the fracture strength of NC‐NG propellant with added RDX particles was significantly increased and the fracture elongation was reduced. The three‐dimensional microstructure model can accurately describe the microstructure of CMDB, and dewetting at the interface is the primary cause of propellant degradation when subjected to an external load, which compromises the mechanical properties of the propellant.

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Section: Introductionmentioning

confidence: 99%

Correlation between microstructural evolution and mechanical properties of CMDB propellant during uniaxial tension

Wu,

Liu,

et al. 2023

Propellants Explo Pyrotec

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“…Moreover, some researchers combined evaluation models with prediction models, which enlightens us to be creative in modeling. For example, Zhao et al [20] used machine learning and error analysis methods to provide a new evaluation method for the launch safety of propellant charging and established its corresponding predictability to significantly improve its practicability. In addition, Huang et al [21] proposed a data evaluation method and application process based on a heating professional mechanism and actual operating data.…”

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confidence: 99%

Evaluation and Prediction of Higher Education System Based on AHP-TOPSIS and LSTM Neural Network

et al. 2022

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A healthy and sustainable higher education system plays an important role in social development. The evaluation and prediction of such a system are vital for higher education. Existing models are usually constructed based on fewer indicators and original data are incomplete; thus, evaluation may be inefficient. In addition, these models are generally suitable for specific countries, rather than the whole universe. To tackle these issues, we proceed as follows: Firstly, we select a series of evaluation indicators that cover most aspects of higher education to establish a basic evaluation system. Then, we choose several representative countries to illustrate the system. Next, we use the analytic hierarchy process (AHP) to calculate a weight matrix of the indicators according to their importance. Furthermore, we obtain authoritative data from these countries. Then, we apply the indicators to the technique for order preference by similarity to an ideal solution (TOPSIS) algorithm to ascertain their relative levels. Finally, we combine the weight matrix with the relative levels to achieve a comprehensive evaluation of higher education. So far, a theoretical establishment of a higher education evaluation model has been generally completed. For better practical application, we add a predictive function to our evaluation model. Starting with China, we predict the development of national higher education for the next 20 years. We adopt a long short-term memory (LSTM) neural network as a method of prediction. Considering the significant influences of national policies on higher education, we address the issues under two circumstances: with or without policy influences. At last, we compare our model with existing models. Experimental results show that our model better reflects national higher education levels and provides more reasonable and robust prediction results.

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Degradation Laws and Characteristic Parameters of Performance of Gun Propellant in Storage

Zhao,

Liu,

Zhang

et al. 2024

Propellants Explo Pyrotec

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Aiming at the phenomenon of complex changes in the properties of propellant charges in storage, a description method of the propellant degradation mechanisms during storage for the propellant properties including chemical stability, energy content, combustion characteristics and fracture behavior is established in this paper. The type of propellant is one of an artillery ammunition. Compared with the previous research methods, a more practical accelerated aging test for propellant charges is designed by performing systematic research on storage environment influences; The regularity of the burning rate change of propellant charges with the storage time is explored based on segment analysis. This is achieved using the Initial Dynamic Vivacity Ratio method. The mechanical property characterization problem of ‘increasing fragility’ with storage loads on the charge is solved. This paper identifies the key performance of a propellant charge during storage and accurately characterizes its dynamic change with respect to storage time.

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Evaluation and prediction methods for launch safety of propellant charge based on support vector regression

Cited by 5 publications

References 7 publications

Correlation between microstructural evolution and mechanical properties of CMDB propellant during uniaxial tension

Correlation between microstructural evolution and mechanical properties of CMDB propellant during uniaxial tension

Evaluation and Prediction of Higher Education System Based on AHP-TOPSIS and LSTM Neural Network

Degradation Laws and Characteristic Parameters of Performance of Gun Propellant in Storage

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