Abstract

Continuous in-situ strain monitoring is vital for assessing the structural integrity and in-service performance of large-scale composite structures in sectors like aerospace and wind energy. This review provides a comprehensive analysis of methodologies for integrating sensor technologies to facilitate such monitoring. It encompasses established and emerging approaches, including Fibre Bragg Gratings (FBGs), piezoelectric transducers, and novel solutions like graphene-based sensors and MXene fibres. Beyond their operating principles, the review pays particular attention to vibration-based techniques that exploit nonlinear dynamic responses induced by damage. A critical appraisal is presented of the challenges of embedding these technologies, addressing manufacturing integration and the preservation of functional reliability under operational stressors. The article also considers key system-level requirements, including
robust data acquisition, effective signal processing, and long-term durability. A central finding is the inherent trade off between sensor performance and structural integrity; FBGs offer high precision but can reduce interlaminar shear strength, whilst emerging solutions like MXene fibres show exceptional sensitivity but face durability challenges. The synthesis underscores significant advancements—from high-accuracy sensor localisation and nanotechnology in sensor fabrication, to autonomous, self-powered frameworks—alongside persistent, multidisciplinary challenges in creating validated and scalable systems. We conclude that the convergence of advanced sensing materials with intelligent data analytics is decisively transforming composites into intelligent, self-diagnosing systems.

Keywords

Composite SHMIn-Situ Strain MonitoringMachine Learning ApplicationsSensor IntegrationSSmart StructuresVibration Monitoring

References

  1. [1] Tuloup, C., Harizi, W., Aboura, Z., et al., 2019. On the Use of In-Situ Piezoelectric Sensors for the Manufacturing and Structural Health Monitoring of Polymer-Matrix Composites. Composites Structures. 215, 127–149. DOI: https://doi.org/10.1016/j.compstruct.2019.02.046
  2. [2] Kinet, D., Mégret, P., Goossen, K.W., et al., 2014. Fiber Bragg Grating Sensors Toward Structural Health Monitoring in Composite Materials: Challenges and Solutions. Sensors. 14(4), 7394–7419. DOI: https://doi.org/10.3390/s140407394
  3. [3] Rocha, H., Semprimoschnig, C., Nunes, J.P., 2021. Sensors for Process and Structural Health Monitoring of Aerospace Composites: A Review. Engineering Structures. 237, 112231. DOI: https://doi.org/10.1016/j.engstruct.2021.112231
  4. [4] Dimassi, M.A., John, M., Herrmann, A.S., 2018. Investigation of the Temperature Dependent Impact Behaviour of Pin Reinforced Foam Core Sandwich Structures. Composite Structures. 202, 774–782. DOI: https://doi.org/10.1016/j.compstruct.2018.04.012
  5. [5] Bertram, L., Brink, M., Thoben, K.-D., et al., 2022. A Passive, Wireless Sensor Node for Material-Integrated Strain and Temperature Measurements in Glass Fiber Reinforced Composites. In: Valle, M., et al. Advances in System-Integrated Intelligence. SYSINT 2022. Lecture Notes in Networks and Systems. 546, 182–193. DOI: https://doi.org/10.1007/978-3-031-16281-7_18
  6. [6] Betram, L., Brink, M., Lang, W., 2023. E5. 4-Material-Integrated Temperature Sensors for Wireless Monitoring of Infusion and Curing in Composite Production. Lectures. 261–263. DOI: https://doi.org/10.5162/SMSI2023/E5.4
  7. [7] Bertram, L., Brink, M., Lang, W., 2024. A Wireless Strain Sensor for Measurement in Composites. Proceedings. 97(1), 49. DOI: https://doi.org/10.3390/proceedings2024097049
  8. [8] Arena, M., Viscardi, M., 2020. Strain State Detection in Composite Structures: Review and New Challenges. Journal of Composites Science. 4(2), 60. DOI: https://doi.org/10.3390/jcs4020060
  9. [9] Zhou, G., Sim, L.M., 2022. Damage Detection and Assessment in Fibre-Reinforced Composite Structures With Embedded Fibre Optic Sensors-Review. Smart Materials and Structures. 11(6), 925–939. DOI: https://doi.org/10.1088/0964-1726/11/6/314
  10. [10] Bertram, L., Brink, M., Lang, W., 2023. Wireless, Material-Integrated Sensors for Strain and Temperature Measurement in Glass Fibre Reinforced Composites. Sensors. 23(14), 6375. DOI: https://doi.org/10.3390/s23146375
  11. [11] Masi, A., Falchi, M., Brizi, D., et al., 2024. Inductive Frequency-Coded Sensor for Non-Destructive Strain Monitoring in Composite Materials. Sensors. 24(20), 6725. DOI: https://doi.org/10.3390/s24206725
  12. [12] Plastropoulos, A., Zolotas, A., Avdelidis, N.P., 2025. A Comprehensive Review of Robotics-Aided Aircraft Non-Destructive Inspection Toward the Smart Hangar. The Aeronautical Journal. 1–32. DOI: https://doi.org/10.1017/aer.2025.10048
  13. [13] Kosova, F., Altay, Ö., Ünver, H.Ö., 2025. Structural Health Monitoring in Aviation: A Comprehensive Review and Future Directions for Machine Learning. Nondestructive Testing and Evaluation. 40(1), 1–60. DOI: https://doi.org/10.1080/10589759.2024.2350575
  14. [14] Tao, Y., Zhang, R., Hu, X., et al. A Comprehensive Review on Fiber-Based Self-Sensing Polymer Composites for In Situ Structural Health Monitoring. Adv Compos Hybrid Mater 8. 339(2025). DOI: https://doi.org/10.1007/s42114-025-01413-y
  15. [15] Ling, S., Chen, X., Miao, L., et al., 2024. A Novel Semiconductor Piezoresistive Thin-Film Strain Gauge With High Sensitivity. IEEE Sensors Journal. 24(9), 13914–13924. DOI: https://doi.org/10.1109/JSEN.2024.3373635
  16. [16] Sendrowicz, A., Myhre, A.O., Wierdak, S.W., et al., 2021. Challenges and Accomplishments in Mechanical Testing Instrumented by In Situ Techniques: Infrared Thermography, Digital Image Correlation, and Acoustic Emission. Applied Sciences. 11(15), 6718. DOI: https://doi.org/10.3390/app11156718
  17. [17] Yu, Y., Liu, X., Yan, J., et al., 2021. Real-Time Life-Cycle Monitoring of Composite Structures Using Piezoelectric-Fiber Hybrid Sensor Network. Sensors. 21(24), 8213. DOI: https://doi.org/10.3390/s21248213
  18. [18] Chen X., Nasrollahi A., Ransom E., et al., 2022. Enabling Self-Shape Estimation of Composite Structures Using Distributed Microfabricated Strain Gauge Networks. Journal of Composite Materials. 57(4), 605–617. DOI: https://doi.org/10.1177/00219983221140561
  19. [19] Mongioì, F., Selleri, G., Maccaferri, E., et al., 2025. CFRP Laminate With Autonomous Sensing and Enhanced Impact Resistance by P (VDF-TrFE) Nanofibers Interleaving. Composites Part B: Engineering. 15(293), 12143. DOI: https://doi.org/10.1016/j.compositesb.2025.112143
  20. [20] Fan, Q., Yi, M., Chai, C., et al., 2022. Oxidation Stability Enhanced MXene-Based Porous Materials Derived From Water-in-Ionic Liquid Pickering Emulsions for Wearable Piezoresistive Sensor and Oil/Water Separation Applications. Journal of Colloid and Interface Science. 618, 311–321. DOI: https://doi.org/10.1016/j.jcis.2022.03.073
  21. [21] Hussain, M.Z., Shah, S.Z.H., Megat-Yusoff, P.S.M., et al., 2025. Toughening Epoxy Resin System Using Nano-Structured Block Copolymer and Graphene Nanoplatelets to Mitigate Matrix Microcracks in Epoxy Nanocomposites: A DoE Based Framework. Materials Today Communications. 43, 11697. DOI: https://doi.org/10.1016/j.mtcomm.2025.111697
  22. [22] Cui, Y., Cao, X., Zhu, G., et al., 2025. Edge Perception: Intelligent Wireless Sensing at Network Edge. IEEE Communications Magazine. 63(3), 166–173. DOI: https://doi.org/10.1109/MCOM.001.2300660
  23. [23] Dong, T., Kim, N.H,. 2018. Reviews of Structural Health Monitoring Technologies in Airplane Fuselage Maintenance Perspective. In Proceedings of the 2018 AIAA/AHS Adaptive Structures Conference, Kissimmee, FL, USA, 8–12 January 2018; pp. 0562. DOI: https://doi.org/10.2514/6.2018-0562
  24. [24] Choi. K., Kim, D,, Chung,. W., et al., 2018. Nanostructured Thermoelectric Composites for Efficient Energy Harvesting in Infrastructure Construction Applications. Cement and Concrete Composites. 128(1), 104452. DOI: https://doi.org/10.1016/j.cemconcomp.2022.104452
  25. [25] Ji, Y., Luan, C., Yao, X., et al., 2025. Real-Time In-Service Structural Health Monitoring Method Based on Self-Sensing of CF/PEEK Prepreg in Automated Fiber Placement (AFP) Manufactured Parts. Composites Part A: Applied Science and Manufacturing. 194, 108925. https://doi.org/10.1016/j.compositesa.2025.108925
  26. [26] Meemary, B., Vasiukov, D., Deléglise-Lagardère, et al., 2025. Sensors Integration for Structural Health Monitoring in Composite Pressure Vessels: A Review. Composite Structures. 351, 118546. DOI: https://doi.org/10.1016/j.compstruct.2024.118546
  27. [27] Carani, L.B., Humphrey, J., Rahman, M.M., et al., 2024. Advances in Embedded Sensor Technologies for Impact Monitoring in Composite Structures. Journal of Composites Science. 8(6), 201. DOI: https://doi.org/10.3390/jcs8060201
  28. [28] Dolbachian, L., Harizi, W., Aboura, Z., 2024. Experimental Linear and Nonlinear Vibration Methods for the Structural Health Monitoring (SHM) of Polymer-Matrix Composites (PMCs): A Literature Review. Vibration. 7(1), 281–325. DOI: https://doi.org/10.3390/vibration7010015
  29. [29] Dolbachian, L., Harizi, W., Aboura, Z., 2023. Structural Health Monitoring (SHM) Study of Polymer Matrix Composite (PMC) Materials Using Nonlinear Vibration Methods Based on Embedded Piezoelectric Transducers. Sensors. 23(7), 3677. DOI: https://doi.org/10.3390/s23073677
  30. [30] Mei, H., Migot, A., Haider, M.F., 2019. Vibration-Based In-Situ Detection and Quantification of Delamination in Composite Plates. Sensors. 19(7), 1734. DOI: https://doi.org/10.3390/s19071734
  31. [31] Kudela, P., Radzienski, M., Miniaci, M., et al., 2024. An Ultrasensitive Device With Embedded Phononic Crystals for the Detection and Localisation of Nonlinear Guided Waves. arXiv. 2406, 17370. DOI: https://doi.org/10.48550/arXiv.2406.17370
  32. [32] Zhang, T., Peng, X., Zhou, M., et al., 2025. Mechanical In-Sensor Computing: A Programmable Meta-Sensor for Structural Damage Classification Without External Electronic Power. Mechanical Systems and Signal Processing. arXiv. 2505, 18579. DOI: https://doi.org/10.48550/arXiv.2505.18579
  33. [33] Ogunleye, R.O., Rusnáková, S., Javořík, J., et al., 2024. Advanced Sensors and Sensing Systems for Structural Health Monitoring in Aerospace Composites. Advanced Engineering Materials. 26(22), 2401745. DOI: https://doi.org/10.1002/adem.202401745
  34. [34] Yang, R., Zhang, W., Tiwari, N., et al., 2022. Multimodal Sensors With Decoupled Sensing Mechanisms. Advanced Science. 9(26), 2202470. DOI: https://doi.org/10.1002/advs.202202470
  35. [35] Pracucci, A., Vandi, L., Belletti, F., et al., 2024. Integration of Piezoelectric Energy Harvesting Systems Into Building Envelopes for Structural Health Monitoring With Fiber Optic Sensing Technology. Energies. 17(7), 1789. DOI: https://doi.org/10.3390/en17071789
  36. [36] Fu, R., Chen, J., Lin, Y., et al., 2023. Smart Sensing and Communication Co-Design for IIoT-Based Control Systems. IEEE Internet of Things Journal. 11(3), 3994–4014. DOI: https://doi.org/10.1109/JIOT.2023.3299632
  37. [37] Li, Q., Zhao, G., Li, J., et al., 2025. An In-Situ Predictive Method for Modulus Degradation in Composite Structures With Fatigue Damage: Applications in Digital Twin Technology. Mechanical Systems and Signal Processing. 237, 113090. DOI: https://doi.org/10.1016/j.ymssp.2025.113090
  38. [38] Nimbekar, A.A., Deshmukh, R.R., 2022. Plasma Surface Modification of Flexible Substrates to Improve Grafting for Various Gas Sensing Applications: A Review. IEEE Transactions on Plasma Science. 50(6), 1382. DOI: https://doi.org/10.1109/TPS.2022.3148575
  39. [39] Rezazadeh, N., De Luca, A., Perfetto, D., et al., 2025. Systematic Critical Review of Structural Health Monitoring Under Environmental and Operational Variability: Approaches for Baseline Compensation, Adaptation, and Reference-Free Techniques. Smart Materials and Structures. DOI: https://doi.org/10.1088/1361-665X/ade7db
  40. [40] Zhao, D., Liu, X., Meves, J., et al., 2023. 3D Printed and Embedded Strain Sensors in Structural Composites for Loading Monitoring and Damage Diagnostics. Journal of Composites Science. 7(10), 437. DOI: https://doi.org/10.3390/jcs7100437
  41. [41] Kim, H.S., Yoo, S.H., Chang, S.H., 2013. In Situ Monitoring of the Strain Evolution and Curing Reaction of Composite Laminates to Reduce the Thermal Residual Stress Using FBG Sensor and Dielectrometry. Composites Part B: Engineering. 44(1), 446–452. DOI: https://doi.org/10.1016/j.compositesb.2012.04.021
  42. [42] Koecher, M.C., Pande, J.H., Merkley, S., et al., 2015. Piezoresistive In-Situ Strain Sensing of Composite Laminate Structures. Composites Part B: Engineering. 69, 534–541. DOI: https://doi.org/10.1016/j.compositesb.2014.09.029
  43. [43] Huang, L., Lu, K., Zeng, L., 2025. Single-Sensor Impact Source Localization Method for Anisotropic Glass Fiber Composite Wind Turbine Blades. Sensors. 25(14), 4466. DOI: https://doi.org/10.3390/s25144466
  44. [44] Rocha, H., Antunes, P., Lafont, U., et al., 2024. Processing and Structural Health Monitoring of a Composite Overwrapped Pressure Vessel for Hydrogen Storage. Structural Health Monitoring. 23(4), 2391–2406. DOI: https://doi.org/10.1177/14759217231204242
  45. [45] Ren, F., Giannakeas, I.N., Khodaei, Z.S., et al., 2024. The Temperature Effects on Embedded PZT Signals in Structural Health Monitoring for Composite Structures With Different Thicknesses. NDT and E International. 141, 102988. DOI: https://doi.org/10.1016/j.ndteint.2023.102988
  46. [46] Brinkschmidt, F., 2024. Technologies for Structural Health Monitoring of Wind Turbine Blades. Educational Journal of Renewable Energy Short Reviews. 14. DOI: https://doi.org/10.25974/ren_rev_2024_03
  47. [47] Taymaz, B.H., Kamış, H., Dziendzikowski, M., et al., 2025. Enhancing Structural Health Monitoring of Fiber-Reinforced Polymer Composites Using Piezoresistive Ti3C2Tx MXene Fibers. Scientific Reports. 15(1), 2456. DOI: https://doi.org/10.1038/s41598-024-78338-x
  48. [48] Vasconcelos, A.R.C., de Matos, R.A., Silveira, M.V., et al., 2024. Applications of Smart and Self-Sensing Materials for Structural Health Monitoring in Civil Engineering: A Systematic Review. Buildings. 14(8), 2345. DOI: https://doi.org/10.3390/buildings14082345

How to Cite

Elias Randjbaran, Darya Khaksari, Hamid Mehrabi, Rizal Zahari, Dayang L. Majid, Mohamed T.H. Sultan, Norkhairunnisa Mazlan. Embedded Sensors for In-Situ Strain Monitoring in Composite Structures. New Environmentally-Friendly Materials. 16 October 2025. https://doi.org/10.55121/nefm.v4i2.510
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Copyright © 2025 Elias Randjbaran, Darya Khaksari, Hamid Mehrabi, Rizal Zahari, Dayang L. Majid, Mohamed T.H. Sultan, Norkhairunnisa Mazlan. Published by Japan Bilingual Publishing Co..

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