Modelling of Tensile Property Degradation in Silicone Rubber Based on Competitive Failure

WANG Jingcheng; ZHOU Kun; ZHOU Junyan; ZHOU Weijian; ZHAO Fangchao; SUN Zhonghui; SHU Chang

doi:10.7643/issn.1672-9242.2026.03.007

PDF(1396 KB)

Equipment Environmental Engineering ›› 2026, Vol. 23 ›› Issue (3) : 58-65. DOI: 10.7643/issn.1672-9242.2026.03.007

Special Issue—Equipment Service Environment and Performance Testing

Modelling of Tensile Property Degradation in Silicone Rubber Based on Competitive Failure

WANG Jingcheng¹, ZHOU Kun^1,*, ZHOU Junyan¹, ZHOU Weijian², ZHAO Fangchao¹, SUN Zhonghui³, SHU Chang¹

Author information +

History +

Abstract

The work aims to construct a mathematical model for describing the post-reinforcement effect. To address the peculiar performance changes of rubber materials during natural storage environments, an inverse proportional function was employed to characterize the natural performance degradation process and a variant exponential function was adopted to model the microstructural densification process. A composite-form competitive mechanism model was constructed to effectively describe the specific variation processes of rubber material performance, including the rapid decline in the initial stage, recovery and enhancement in the intermediate stage, and the slow decline in the later stage. When applied to GD3537 silicone rubber, the validation results showed that the goodness of fit for the experimental data from Jiangjin, Wanning and Mohe progressively increased, reaching 89.92%, 94.25% and 97.32% respectively, and the average node errors were 4.08%, 3.40% and 2.37%; Using a small amount of prior data, the model could be further simplified from a four-parameter framework to a competition mechanism model comprising only two parameters, the decay factor and the enhancement factor. The average goodness of fit remained above 90%, and the model possessed easily comprehensible physical significance. This model demonstrates excellent applicability in predicting the variations in tensile property of silicone rubber across different regions, and offers significant advantages compared with single-function models.

Key words

silicone rubber / tensile property / natural degradation / microstructural densification / competitive mechanism / mathematical modeling

Cite this article

EndNote

Ris (Procite)

Bibtex

Download Citations

WANG Jingcheng, ZHOU Kun, ZHOU Junyan, ZHOU Weijian, ZHAO Fangchao, SUN Zhonghui, SHU Chang. Modelling of Tensile Property Degradation in Silicone Rubber Based on Competitive Failure[J]. Equipment Environmental Engineering. 2026, 23(3): 58-65 https://doi.org/10.7643/issn.1672-9242.2026.03.007

References

[1] 李松. 基于加速试验和随机过程模型的车用橡胶材料可靠性评估研究[D]. 长春: 吉林大学, 2021.
LI S.Research on Reliability Evaluation of Automotive Rubber Materials Based on Accelerated Testing and Random Process Models[D]. Changchun: Jilin University, 2021.
[2] 蒲亚博, 赵方超, 姜艾锋, 等. 橡胶环境损伤机理与寿命预测研究进展及环境损伤动力学模型构建探索[J]. 装备环境工程, 2025, 22(3): 152-163.
PU Y B, ZHAO F C, JIANG A F, et al.Research Progress on Rubber Environmental Damage Mechanism and Life Prediction, as Well as Exploration of Construction of Environmental Damage Dynamics Model[J]. Equipment Environmental Engineering, 2025, 22(3): 152-163.
[3] 刘伟, 魏小琴, 刘俊, 等. 橡胶及制品自然贮存老化行为研究进展[J]. 装备环境工程, 2020, 17(5): 122-126.
LIU W, WEI X Q, LIU J, et al.Progress of Research on Aging Behavior of Rubber and Its Products in Natural Storage Environment[J]. Equipment Environmental Engineering, 2020, 17(5): 122-126.
[4] 国钦瑞, 邵华锋. 橡胶的老化机理及老化行为的研究进展[J]. 高分子通报, 2022, 35(2): 17-24.
GUO Q R, SHAO H F.Progress in Aging Mechanism and Behavior of Rubbers[J]. Polymer Bulletin, 2022, 35(2): 17-24.
[5] 李杲, 卓文越, 杨国, 等. 多因素耦合作用下丁腈橡胶的老化行为和机理研究[J]. 高分子学报, 2021, 52(7): 762-774.
LI G, ZHUO W Y, YANG G, et al.Study on the Aging Behaviors and Mechanism of Nitrile Rubber under Multiple Coupled Factors[J]. Acta Polymerica Sinica, 2021, 52(7): 762-774.
[6] 韦承莎, 王丽君, 王维欣, 等. 基于回归分析模型与随机过程模型的硅橡胶泡沫应力松弛预测对比[J]. 高分子通报, 2023, 36(1): 112-117.
WEI C S, WANG L J, WANG W X, et al.Comparison of Stress Relaxation Prediction of Silicone Rubber Foam Based on Regression Analysis Model and Stochastic Process Models[J]. Chinese Polymer Bulletin, 2023, 36(1): 112-117.
[7] XIE C H, QIU H K, LIU L, et al.Machine Learning Approaches in Polymer Science: Progress and Fundamental for a New Paradigm[J]. SmartMat, 2025, 6: e1320.
[8] ZHU M, HUANG H Y, LI H Y, et al.A Study on the Aging Mechanism and Anti-Aging Properties of Nitrile Butadiene Rubber: Experimental Characterization and Molecular Simulation[J]. Polymers, 2025, 17(11): 1446.
[9] 唐圣学, 宋晓, 李明, 等. 光伏组件寿命衰退建模与寿命预测高斯随机过程回归方法研究[J]. 太阳能学报, 2022, 43(12): 41-49.
TANG S X, SONG X, LI M, et al.Research on Lifetime Degradation Modeling and Gaussian Stochastic Process Regression Method for Life Prediction of Photovoltaic Modules[J]. Acta Energiae Solaris Sinica, 2022, 43(12): 41-49.
[10] ZHANG C, CHEN R T, WANG S P, et al.Reliability Estimation of Reciprocating Seals Based on Multivariate Dependence Analysis and Its Experimental Validation[J]. IEEE Access, 2019, 7: 130745-130757.
[11] SUN B, YAN M C, FENG Q, et al.Gamma Degradation Process and Accelerated Model Combined Reliability Analysis Method for Rubber O-Rings[J]. IEEE Access, 2018, 6: 10581-10590.
[12] HU Y X, ZHAO W L, WANG L Q, et al.Machine- Learning-Assisted Design of Highly Tough Thermosetting Polymers[J]. ACS Applied Materials & Interfaces, 2022, 14(49): 55004-55016.
[13] LIANG Z L, LI Z W, ZHOU S, et al.Machine-Learning Exploration of Polymer Compatibility[J]. Cell Reports Physical Science, 2022, 3(6): 100931.
[14] 王芳婷, 吴尚, 徐帅帅, 等. 机器学习分析和预测橡胶圈老化性能[J]. 安徽大学学报(自然科学版), 2024, 48(6): 78-85.
WANG F T, WU S, XU S S, et al.Study and Prediction on Aging of Rubber Rings by Machine Learning[J]. Journal of Anhui University (Natural Science Edition), 2024, 48(6): 78-85.
[15] 王红珂, 刘啸天, 林磊, 等. 机器学习在材料服役性能预测中的应用[J]. 装备环境工程, 2022, 19(1): 11-19.
WANG H K, LIU X T, LIN L, et al.Application of Machine Learning in Predicting Service Performance of Materials[J]. Equipment Environmental Engineering, 2022, 19(1): 11-19.
[16] BAHROLOLOUMI A, SHAAFAEY M, AYOUB G, et al.Thermal Aging Coupled with Cyclic Fatigue in Cross-Linked Polymers: Constitutive Modeling & FE Implementation[J]. International Journal of Solids and Structures, 2022, 252: 111800.
[17] 熊俊, 吴德权, 孙茂钧, 等. 三元乙丙橡胶室内外老化行为及相关性分析[J]. 装备环境工程, 2022, 19(4): 138-144.
XIONG J, WU D Q, SUN M J, et al.Correlation Analysis and the Aging Behaviors of Ethylene-Propylene-Diene Monomer in Xenon Lamp & Atmospheric Environments[J]. Equipment Environmental Engineering, 2022, 19(4): 138-144.
[18] 柯玉超, 王识君, 吴蕾. 基于加速老化的橡胶密封件使用寿命评估[J]. 液压气动与密封, 2018, 38(12): 79-83.
KE Y C, WANG S J, WU L.The Lifespan Prediction of Rubbers through Temperature Accelerated Aging[J]. Hydraulics Pneumatics & Seals, 2018, 38(12): 79-83.
[19] 柯栋斌, 王兵兵, 林宏图, 等. 凝固方式对天然橡胶脂肪酸含量及性能的影响[J]. 高分子材料科学与工程, 2024, 40(9): 108-117.
KE D B, WANG B B, LIN H T, et al.Effect of Coagulation Method on Fatty Acid Content and Properties of Natural Rubber[J]. Polymer Materials Science & Engineering, 2024, 40(9): 108-117.
[20] 刘湘楠, 杨宇鑫, 石伟, 等. 物理-数据融合驱动的天然橡胶疲劳寿命预测建模方法[J]. 机械工程学报, 2025, 61(13): 293-301.
LIU X N, YANG Y X, SHI W, et al.Physically-Data- Driven Modeling Method for Fatigue Life Prediction of Natural Rubber[J]. Journal of Mechanical Engineering, 2025, 61(13): 293-301.
[21] 刘巧斌, 史文库, 陈志勇, 等. 基于插值和时温叠加原理的橡胶老化寿命预测方法[J]. 工程科学与技术, 2019, 51(4): 217-221.
LIU Q B, SHI W K, CHEN Z Y, et al.Rubber Aging Life Prediction Method Based on Time-Temperature Superposition Principle and Interpolation[J]. Advanced Engineering Sciences, 2019, 51(4): 217-221.
[22] 陈国靖, 王兵兵, 林宏图, 等. 熟化过程中结构与组分的变化对天然橡胶性能的影响[J]. 高分子材料科学与工程, 2022, 38(11): 41-48.
CHEN G J, WANG B B, LIN H T, et al.Effect of Structural and Component Changes on Properties of Natural Rubber during Maturation[J]. Polymer Materials Science & Engineering, 2022, 38(11): 41-48.
[23] 谷丰收, 张福全, 林宏图, 等. 3种凝胶结构对天然橡胶塑炼特性的影响[J]. 高分子材料科学与工程, 2024, 40(9): 86-91.
GU F S, ZHANG F Q, LIN H T, et al.Effect of Three Gel Structures on the Mastication Properties of Natural Rubber[J]. Polymer Materials Science & Engineering, 2024, 40(9): 86-91.
[24] CHOLLAKUP R, SUWANRUJI P, TANTATHERDTAM R, et al.New Approach on Structure-Property Relationships of Stabilized Natural Rubbers[J]. Journal of Polymer Research, 2019, 26(2): 37.
[25] NUN-ANAN P, WISUNTHORN S, PICHAIYUT S, et al.Influence of Nonrubber Components on Properties of Unvulcanized Natural Rubber[J]. Polymers for Advanced Technologies, 2020, 31(1): 44-59.