Viscoelastic damage constitutive modeling of the composite propellants considering coupled interfacial debonding and porosity evolution

The composite propellant is a type of particle-included composite material and serves as the power source of solid rocket motors. During service, the composite solid propellant sustains complex mechanical loads, which would cause internal damage and ultimately lead to material failure. To investigate the rate-dependent nonlinear mechanical behaviors of nitrate ester plasticized polyether (NEPE) composite propellants under tensile loading, this study focused on the mesoscopic damage mechanisms via observation of mesostructures. The key damage modes were particle-matrix interfacial debonding and expansion of dewetting pores, with porosity evolution showing significant rate dependence. Based on the mesoscopic damage mechanisms and the rate-dependent porosity prediction model, a viscoelastic damage constitutive model was established by introducing an internal state variable (characterizing both damage modes) and a softening function (reflecting modulus degradation). The model effectively predicted the propellant’s nonlinear responses under different strain rates, including the typical three-stage stress trend at high strain rates. Numerical analysis confirmed rate-dependent damage accumulation: higher strain rates delay damage initiation and fracture, with consistent failure modes across strain rates. This work links mesoscopic damage to macroscopic properties, providing a reliable model for propellant design.

Authors

Institutions

Publication Details

Journal
Journal of Composite Materials
Published
2026-06-29
DOI
https://doi.org/10.1177/00219983261463714
Primary Topic
Energetic Materials and Combustion
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Viscoelastic damage constitutive modeling of the composite propellants considering coupled interfacial debonding and porosity evolution

Zhelin Dong, Hanlin Wang, Feifei Zhu, Kaining Zhang et al.
Journal of Composite Materials
Energetic Materials and Combustion
article

Viscoelastic damage constitutive modeling of the composite propellants considering coupled interfacial debonding and porosity evolution

Zhelin Dong, Hanlin Wang, Feifei Zhu, Kaining Zhang, Chunguang Wang
article en

Abstract

The composite propellant is a type of particle-included composite material and serves as the power source of solid rocket motors. During service, the composite solid propellant sustains complex mechanical loads, which would cause internal damage and ultimately lead to material failure. To investigate the rate-dependent nonlinear mechanical behaviors of nitrate ester plasticized polyether (NEPE) composite propellants under tensile loading, this study focused on the mesoscopic damage mechanisms via observation of mesostructures. The key damage modes were particle-matrix interfacial debonding and expansion of dewetting pores, with porosity evolution showing significant rate dependence. Based on the mesoscopic damage mechanisms and the rate-dependent porosity prediction model, a viscoelastic damage constitutive model was established by introducing an internal state variable (characterizing both damage modes) and a softening function (reflecting modulus degradation). The model effectively predicted the propellant’s nonlinear responses under different strain rates, including the typical three-stage stress trend at high strain rates. Numerical analysis confirmed rate-dependent damage accumulation: higher strain rates delay damage initiation and fracture, with consistent failure modes across strain rates. This work links mesoscopic damage to macroscopic properties, providing a reliable model for propellant design.

Journal of Composite Materials
Institute for Information Industry (TW), Tianneng Power (China) (CN), Tiandi Science & Technology (China) (CN), Digital Solid State Propulsion (United States) (US), Xi'an Jiaotong University (CN)
Openalex Percentile: Top 12%
Energetic Materials and Combustion
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.