This is an unedited manuscript accepted for publication and provided as an Article in Press for early access at the author’s request. The article will undergo copyediting, typesetting, and galley proof review before final publication. Please be aware that errors may be identified during production that could affect the content. All legal disclaimers of the journal apply.
Rajev Kumar Sharma,
Ajay Sharma,
Sandeep Kanaujia,
- Research Scholar, Department of Electronics and Communication Engineering, United University, Prayagraj, Uttar Pradesh, India
- Professor, Department of Electronics and Communication Engineering, United University, Prayagraj, Uttar Pradesh, India
- Professor, Department of Electronics and Communication Engineering, United College of Engineering & Research, Prayagraj, Uttar Pradesh, India
Abstract
The utilization of an integrated experimental and finite element modelling (FEM) methodology, this study investigates the degradation and failure mechanisms in polymer composite electrical connectors exposed to aggressive environmental conditions. Epoxy- and polyamide-based composites, reinforced with carbon and glass fibers, were subjected to accelerated salt spray and humidity–temperature cycles to simulate prolonged outdoor exposure. Electrochemical and environmental aging experiments revealed that chloride ions and moisture ingress were responsible for matrix microcracking, fiber–matrix interface debonding, and dielectric degradation, all of which contributed to the loss of mechanical integrity and conductivity. The stress–corrosion and hygrothermal coupling effects were efficiently represented through FEM simulations, validated using surface morphology and microstructural analysis. Furthermore, the simulations accurately predicted fracture initiation zones and damage propagation paths within the composite matrix. A strong correlation between experimental and numerical findings confirmed that environmental degradation and mechanical stress act synergistically, accelerating failure progression. These results emphasize the importance of protective surface treatments, barrier coatings, and digital twin integration in polymer composite connectors for railway signalling systems operating under extreme environmental conditions, while also offering a predictive framework for assessing long-term durability and service life.
Keywords: Alloys Synthesis Techniques, Electrochemical, Corrosion-induced failure, copper-tin alloy (Cu-Sn) and aluminium-magnesium alloy (Al-Mg), Stress–corrosion coupling.
Rajev Kumar Sharma, Ajay Sharma, Sandeep Kanaujia. Experimental and Numerical Investigation of Corrosion-Induced Failures in copper-tin alloy (Cu-Sn) and aluminum-magnesium alloy (Al-Mg) connectors: A Stress–Corrosion Coupling Analysis. Journal of Polymer & Composites. 2026; 14(02):-.
Rajev Kumar Sharma, Ajay Sharma, Sandeep Kanaujia. Experimental and Numerical Investigation of Corrosion-Induced Failures in copper-tin alloy (Cu-Sn) and aluminum-magnesium alloy (Al-Mg) connectors: A Stress–Corrosion Coupling Analysis. Journal of Polymer & Composites. 2026; 14(02):-. Available from: https://journals.stmjournals.com/jopc/article=2026/view=239595
References
- Wu, S., Ma, X., Zhang, X., Chen, J., Yao, Y., & Li, D. (2024). Investigation into hydrogen induced fracture of cable bolts under deep stress corrosion coupling conditions. Tunnelling and Underground Space Technology, 147, 105729.
- Yang, H., Shi, Z., Wang, X., Zhang, J., Zhang, R., & Wang, H. (2025). Simulation and Analysis of Electric Thermal Coupling for Corrosion Damage of Metro Traction Motor Bearings. Machines, 13(8), 680.
- Xie, F. (2007). A study of vibration-induced fretting corrosion for electrical connectors (Doctoral dissertation).
- Li, J., He, W., Yang, M., Deng, J., & Li, W. (2025). Bidirectional Shear Performance of Corroded Stud Connectors in Steel–Concrete Composite Monorail Track Beams. Buildings, 15(18), 3331.
- Elayaperumal, K., & Raja, V. S. (2015). Corrosion failures: theory, case studies, and solutions. John Wiley & Sons.
- Waqas, H. A., Bahrami, A., Amin, F., Sahil, M., & Saud Khan, M. (2024). Numerical modeling and performance evaluation of carbon fiber-reinforced polymer-strengthened concrete culverts against water-induced corrosion. Infrastructures, 9(5), 82.
- Liu, X., Pei, Z., Feng, Q., & Zhu, Z. (2024). Preload loss in uncoated weathering steel bolted connections considering corrosion and fatigue. Journal of Constructional Steel Research, 221, 108921.
- Adasooriya, N. D., Hemmingsen, T., & Pavlou, D. (2020). Environment-assisted corrosion damage of steel bridges: a conceptual framework for structural integrity. Corrosion Reviews, 38(1), 49-65.
- Wang, C. T., Li, W., Xin, G. F., Wang, Y. Q., Yang, X. F., & Guo, Z. A. (2020). Experimental research examining the stray current corrosion of rock bolts in the DC transit system. Experimental Techniques, 44(2), 137-148.
- Liu, Z., Guo, T., Yu, X., Niu, S., & Correia, J. (2023). Corrosion fatigue assessment of bridge cables based on equivalent initial flaw size model. Applied Sciences, 13(18), 10212.
- Prasad, S.B., Madhumathy, P., 2021. Long term evolution for secured smart railway communications using internet of things. In: Machine Learning Algorithms for Industrial Applications. Springer, Cham, pp. 285–300
- Fraga-Lamas, P., Fern´andez-Caram´es, T.M., Castedo, L., 2017. Towards the Internet of smart trains: a review on industrial IoT-connected railways. Sensors 17 (6), 1457.
- Adebiyi, O.O., Cruz, M., 2018. Green sustainability development for industry internet of things in railway transportation industry. Int. J. Trend Sci. Res. Develop. 3 (1),203–208
- Perwej, Y., Haq, K., Parwej, F., Mumdouh, M., Hassan, M., 2019. The internet of things (IoT) and its application domains. Int. J. Comp. Appl. 975 (8887), 182.
- Solanki, A. and Nayyar, A., 2019. Green internet of things (G-IoT): ICT technologies,principles, applications, projects, and challenges. In Handbook of Research on Big Data and the IoT (pp. 379-405). IGI Global
- Zantalis, F., Koulouras, G., Karabetsos, S., Kandris, D., 2019. A review of machine learning and IoT in smart transportation. Future Internet 11 (4), 94.
- Mehmood, M.Y., Oad, A., Abrar, M., Munir, H.M., Hasan, S.F., Muqeet, H. and Golilarz, N.A., 2021. Edge computing for IoT-enabled smart grid. Security and Communication Networks, 2021
- Zhong, G., Xiong, K., Zhong, Z., Ai, B., 2021. Internet of things for high-speed railways. Intelligent Converged Networks 2 (2), 115–132
- Gharami, S., Prabadevi, B., Bhimnath, A., 2019. Semantic analysis-internet of things,study of past, present, and future of IoT. Electronic Government, Int. J. 15 (2), 144–165
- Chen, C.W., 2020. Internet of video things: Next-generation IoT with visual sensors. IEEE Internet Things J. 7 (8), 6676–6685
- Pal A. Dorri R. Jurdak Blockchain for IoT Access Control: Recent Trends and Future Research Directions 2021 arXiv preprint arXiv:2106.04808.
- Wang, Y., Sarkis, J., 2021. Emerging digitalisation technologies in freight transport and logistics: Current trends and future directions. Transp. Res. Part E 148, 102291.
- Yi, D.L., Liang, D., 2010. A survey of the internet of things. Proc. of ICEBI 358–366
- Alam, S., Chowdhury, M.M., Noll, J., 2011. Interoperability of security-enabled internet of things. Wireless Pers. Commun. 61 (3), 567–586.
- Khutey, R., Rana, G., Dewangan, V., Tiwari, A., Dewamngan, A., 2015. Future of wireless technology 6G & 7G. Int. J. Elec. Electron. Res. 3 (2), 583–585
- Spencer Jr, B.F., Park, J.W., Mechitov, K.A., Jo, H., Agha, G., 2017. Next generation wireless smart sensors toward sustainable civil infrastructure. Procedia Eng. 171, 5–13.
- Elmeadawy, S. and Shubair, R.M., 2019, November. 6G wireless communications: Future technologies and research challenges. In 2019 international conference on electrical and computing technologies and applications (ICECTA) (pp. 1-5). IEEE
- Malik, U.M., Javed, M.A., Zeadally, S. and ul Islam, S., 2021. Energy efficient fog computing for 6G enabled massive IoT: Recent trends and future opportunities. IEEE Internet of Things Journal, pp.1-22.
- Mahmoud, H.H.H., Amer, A.A., Ismail, T., 2021. 6G: A comprehensive survey on technologies, applications, challenges, and research problems. Trans. Emerg. Telecommun. Technol. 32 (4), e4233.
- Zarembski, A.M., 2014, October. Some examples of big data in railroad engineering. In 2014 IEEE International Conference on Big Data (Big Data) (pp. 96-102). IEEE.
- Liu, X., Zhang, X., Xue, F., Liao, W., 2010. United Transportation of Railways and Highways Omni distance Tracking System Model under the Internet of Things. In: ICLEM 2010: Logistics For Sustained Economic Development: Infrastructure, pp. 2207–2213.
- Zhang, R.X., Liu, Z.Y., Guo, J.W., 2011. Research on application of internet of things technology in railway transportation. J. Railway Eng. Soc. 10, 021
- Xie, Z. and Qin, Y., 2019. High-speed railway perimeter intrusion detection approach based on Internet of Things. Adv. Mech. Eng., 11(2), p.1687814018821511
- Ai, B., Molisch, A.F., Rupp, M., Zhong, Z.D., 2020. 5G key technologies for smart railways. Proc. IEEE 108 (6), 856–893.
- Flammini, F., Lin, Z., Vittorini, V., 2020. Roadmaps for AI integration in the rail sector—Rails. ERCIM News 2020 (121).
- Dirnfeld, R., Flammini, F., Marrone, S., Nardone, R. and Vittorini, V., 2020. Low-power wide-area networks in intelligent transportation: Review and opportunities for smart-railways. In 2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC) (pp. 1-7). IEEE.
- Wang, L., Von Laszewski, G., Younge, A., He, X., Kunze, M., Tao, J., Fu, C., 2010. Cloud computing: a perspective study. New Generation Computing 28 (2), 137–146.
- Jadeja, Y. and Modi, K., 2012, March. Cloud computing-concepts, architecture, and challenges. In 2012 International Conference on Computing, Electronics and Electrical Technologies (ICCEET) (pp. 877-880). IEEE
- Dillon, T., Wu, C. and Chang, E., 2010, April. Cloud computing: issues and challenges.In 2010 24th IEEE international conference on advanced information networking andapplications (pp. 27-33). IEEE
- Jauro, F., Chiroma, H., Gital, A.Y., Almutairi, M., Shafi’i, M.A. and Abawajy, J.H., 2020.Deep learning architectures in emerging cloud computing architectures: Recent development, challenges and next research trend. Applied Soft Computing, 96, p.106582.
- Russom, P., 2011. Big data analytics. TDWI best practices report, fourth quarter, 19(4),pp.1-34.
- Ahmed, E., Yaqoob, I., Hashem, I.A.T., Khan, I., Ahmed, A.I.A., Imran, M., Vasilakos, A.V., 2017. The role of big data analytics in Internet of Things. Comput. Netw. 129,459–471.
- Bessis, N., Dobre, C. (Eds.), 2014. Big Data and Internet of Things: A Roadmap for Smart Environments (Vol. 546). Springer International Publishing, Basel, Switzerland
- Li, W., Chen, Z.H. and Sui, L.Y., 2014. Design and Application of Mass Passenger Flow Precautionary and Forecasting System in Rail Transit Based on the Internet of Things Technology. In Applied Mechanics and Materials (Vol. 556, pp. 6366-6369). Trans Tech Publications Ltd.
- Zhang, W., 2012. Study on internet of things application for high-speed train maintenance, repair, and operation (MRO). In Proceedings of the National Conference on Information Technology and Computer Science (CITCS 2012), Lanzhou, China ( pp.16-18).
- Chapman, L., Warren, E. and Chapman, V., 2016. Using the internet of things to monitor low adhesion on railways. In Proceedings of the Institution of Civil Engineers-Transport (Vol. 169, No. 5, pp. 321-329). Thomas Telford Ltd
- Karaduman, G., Karakose, M. and Akin, E., 2018. Condition monitoring platform in railways based on IoT. In 2018 International Conference on Artificial Intelligence and Data Processing (IDAP) (pp. 1-4). IEEE
- Shankar, T., Yamuna, G., Elanchezhian, E.B., 2019. Advanced landslide surveillance system for railway transport accident avoidance using Internet of Things (IoT).J. Comput. Theor. Nanosci. 16 (4), 1701–1705.
- Mohamed, A., Peng, Q., Abid, M.M., 2020. Integrated maintenance logistics monitoring system for high-speed rail, based on internet of things technology. Eur. TransportTrasporti Europei 2020 (75–6), 1–10.
- Ling, Z.H.A.O., 2013. Design of railway freight transport security system based on internet of things. J. Chongqing Univ. Technol. (Natural Science) 6, 025.
- Imdad, M., Jacob, D.W., Mahdin, H., Baharum, Z., Shaharudin, S.M., Azmi, M.S., 2020 .Internet of things (IoT); security requirements, attacks, and counter measures. Indonesian J. Elec. Eng. Computer Sci. 18 (3), 1520–1530
- Dulebenets, M.A., 2018. A comprehensive multi-objective optimization model for the vessel scheduling problem in liner shipping. Int. J. Prod. Econ. 196, 293–318.
- Dulebenets, M.A., 2019. A Delayed Start Parallel Evolutionary Algorithm for just-in-time truck scheduling at a cross-docking facility. Int. J. Prod. Econ. 212, 236–258.
- Safaeian, M., Fathollahi-Fard, A.M., Tian, G., Li, Z., Ke, H., 2019. A multi-objective supplier selection and order allocation through incremental discount in a fuzzy environment. J. Intell. Fuzzy Syst. 37 (1), 1435–1455
- Fathollahi-Fard, A.M., Dulebenets, M.A., Hajiaghaei-Keshteli, M., Tavakkoli-Moghaddam, R., Safaeian, M., Mirzahosseinian, H., 2021a. Two hybrid metaheuristic algorithms for a dual-channel closed-loop supply chain network design problem in the tire industry under uncertainty. Adv. Eng. Inf. 50, 101418

Journal of Polymer & Composites
| Volume | 14 |
| 02 | |
| Received | 07/11/2025 |
| Accepted | 26/12/2025 |
| Published | 02/04/2026 |
| Publication Time | 146 Days |
Login
PlumX Metrics