Steel and Composite Structures

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Applied AI neural network dynamic surface control to nonlinear coupling composite structures

  • ZY Chen (Sch Sci Guangdong University of Petrochem Technol) ;
  • Yahui Meng (Sch Sci Guangdong University of Petrochem Technol) ;
  • Huakun Wu (School of Computer Science, Guangdong Polytechnic Normal University) ;
  • ZY Gu (Sch Sci Guangdong University of Petrochem Technol) ;
  • Timothy Chen (Division of Eng App Sci, Caltech)
  • Received : 2023.12.24
  • Accepted : 2024.08.12
  • Published : 2024.09.10
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Abstract

After a disaster like the catastrophic earthquake, the government have to use rapid assessment of the condition (or damage) of bridges, buildings and other infrastructures is mandatory for rapid feedbacks, rescue and post-event management. This work studies the tracking control problem of a class of strict-feedback nonlinear systems with input saturation nonlinearity. Under the framework of dynamic surface control design, RBF neural networks are introduced to approximate the unknown nonlinear dynamics. In order to address the impact of input saturation nonlinearity in the system, an auxiliary control system is constructed, and by introducing a class of first-order low-pass filters, the problems of large computation and computational explosion caused by repeated differentiation are effectively solved. In response to unknown parameters, corresponding adaptive updating control laws are designed. The goals of this paper are towards access to adequate, safe and affordable housing and basic services, promotion of inclusive and sustainable urbanization and participation, implementation of sustainable and disaster-resilient buildings, sustainable human settlement planning and manage. Simulation results of linear and nonlinear structures show that the proposed method is able to identify structural parameters and their changes due to damage and unknown excitations. Therefore, the goal is believed to achieved in the near future by the ongoing development of AI and control theory.

Keywords

References

  1. Alex, L., Zhang, C. and Xiong, E. (2019), "Interconnected TS fuzzy technique for nonlinear time-delay structural systems", Nonlin. Dyn., 76, 13-22. https://doi.org/10.1007/s11071-013-0841-8.
  2. Bai, X., He, Y. and Xu, M. (2021), "Hazard management and risk design by optimal statistical analysis", Nat. Haz., 64, 1707-1716. https://doi.org/10.1007/s11069-012-0329-8.
  3. Battista, R.C. and Varela, W.D. (2019), "A system of multiple controllers for attenuating the dynamic response of multimode floor structures to human walking", Smart Struct. Syst., 23(5), 467-478. https://doi.org/10.12989/sss.2019.23.5.467.
  4. Cao, J., Du, J., Fan, Q., Yang, J., Bao, C. and Liu, Y. (2024), "Reinforcement for earthquake-damaged glued-laminated timber knee-braced frames with self-tapping screws and CFRP fabric", Eng. Struct., 306, 117787. https://doi.org/10.1016/j.engstruct.2024.117787.
  5. Chen, A. (2023), "Novel robotic GWO LDI modeling and control for nonlinear systems", Int. J. Acoust. Vib., https://doi.org/10.20855/ijav.2023.28.21897.
  6. Chen, A. (2023), "Novel robotic GWO LDI modeling and control for nonlinear systems", Int. J. Acoust. Vib., https://doi.org/10.20855/ijav.2023.28.21897.
  7. Chen, B., Hu, J., Zhao, Y. and Ghosh, B.K. (2022), "Finite-time velocity-free rendezvous control of multiple AUV systems with intermittent communication", IEEE Transact. Syst. Man. Cybernetic. Syst., 52(10), 6618-6629. https://doi.org/10.1109/TSMC.2022.3148295.
  8. Chen, J., Wang, Q., Cheng, H.H., Peng, W. and Xu, W. (2022), "A review of vision-based traffic semantic understanding in ITSs", IEEE Transact. Intell. Transport. Syst., 23(11), 19954-19979. https://doi.org/10.1109/TITS.2022.3182410.
  9. Chen, R., Zhao, B., Xin, Q., Niu, X., Xie, Z., Lu, X. and Zou, D. (2024), "Analysis of transient lubrication and wear coupling behaviors considering thermal effect and journal misalignment for main bearings under dynamic load", Wear, 554-555, 205478. https://doi.org/10.1016/j.wear.2024.205478.
  10. Cheng, B., Zhu, D., Zhao, S. and Chen, J. (2016), "Situation-aware IoT service coordination using the event-driven SOA paradigm", IEEE Transact. Network Service Manage., 13(2), 349-361. https://doi.org/10.1109/TNSM.2016.2541171.
  11. Di Maio D. and Magi, F. (2015), "Development of testing methods for endurance trials of composites components", J. Compos. Mater., 49(24), 2977-2991. https://doi.org/10.1177/0021998314558497.
  12. Eswaran, M. and Reddy, G.R. (2016), "Numerical simulation of tuned liquid tank-structure systems through σ-transformation based fluid-structure coupled solver", Wind Struct., 23(5), 421-447. https://doi.org/10.12989/was.2016.23.5.421.
  13. Fan, X., Wei, G., Lin, X., Wang, X., Si, Z., Zhang, X. and Zhao, W. (2020), "Reversible switching of interlayer exchange coupling through atomically thin VO2 via electronic state modulation", Matter, 2(6), 1582-1593. https://doi.org/10.1016/j.matt.2020.04.001.
  14. Fang, H., Ma, S., Wang, J., Zhao, L., Nie, F., Ma, X. and Zheng, L. (2024), "Multimodal in-sensor computing implemented by easily-fabricated oxide-heterojunction optoelectronic synapses", Adv. Functional Mater., 2409045. https://doi.org/10.1002/adfm.202409045.
  15. Feng, Y., Zhang, B., Liu, Y., Niu, Z., Fan, Y. and Chen, X. (2022), "A D-band manifold triplexer with high isolation utilizing novel waveguide dual-mode filters", IEEE Transact. Terahertz Sci. Technol., 12(6), 678-681. https://doi.org/10.1109/TTHZ.2022.3203308.
  16. Gao, Q., Ding, Z. and Liao, W. (2022), "Effective elastic properties of irregular auxetic structures", Compos. Struct., 287, 115269. https://doi.org/10.1016/j.compstruct.2022.115269.
  17. Gu, X. and Ren, H. (2023), "A survey of transoral robotic mechanisms: Distal dexterity, variable stiffness, and triangulation", Cyborg Bionic Syst., 4. https://doi.org/10.34133/cbsystems.0007.
  18. Kordestani, H., Zhang, C. and Arab, A. (2024), "An investigation into the application of acceleration responses' trendline for bridge damage detection using quadratic regression", Sensors, 24(2), 410. https://doi.org/10.3390/s24020410.
  19. Han, Q., Li, X. and Chu, F. (2018), "Skidding behavior of cylindrical roller bearings under time-variable load conditions", Int. J. Mech. Sci., 135, 203-214. https://doi.org/10.1016/j.ijmecsci.2017.11.013.
  20. Han, Y., Li, H., Liu, J., Xie, N., Jia, M., Sun, Y. and Wang, S. (2023), "Life cycle carbon emissions from road infrastructure in China: A region-level analysis", Transport. Res. Part D: Transport Environ., 115, 103581. https://doi.org/10.1016/j.trd.2022.103581.
  21. Hu, D., Li, Y., Yang, X., Liang, X., Zhang, K., Liang, X. and Taciroglu, E. (2023), "Experiment and application of NATM tunnel deformation monitoring based on 3D laser scanning", Struct. Control Health Monit., 2023, 3341788. https://doi.org/10.1155/2023/3341788.
  22. Hu, J., Wu, Y., Li, T. and Ghosh, B.K. (2019), "Consensus control of general linear multiagent systems with antagonistic interactions and communication noises", IEEE Transact. Automatic Control, 64(5), 2122-2127. https://doi.org/10.1109/TAC.2018.2872197.
  23. Hu, X., Tan, L. and Tang, T. (2024), "M2BIST-SPNet: RUL prediction for railway signaling electromechanical devices", J. Supercomput., 80(12), 16744-16774. https://doi.org/10.1007/s11227-024-06111-y.
  24. Katunin, A. and Fidali, M. (2012), "Self-heating of polymeric laminated composite plates under the resonant vibrations: Theoretical and experimental study", Polym. Compos., 33, 138-146. https://doi.org/10.1002/pc.22134.
  25. Li, D., Ge, S.S. and Lee, T.H. (2021), "Fixed-time-synchronized consensus control of multiagent systems", IEEE Transact. Control Network Syst., 8(1), 89-98. https://doi.org/10.1109/TCNS.2020.3034523.
  26. Li, D., Yu, H., Tee, K.P., Wu, Y., Ge, S.S. and Lee, T.H. (2021), "On time-synchronized stability and control", IEEE Transact. Syst. Man Cybernet. Syst., 1-14. https://doi.org/10.1109/TSMC.2021.3050183.
  27. Li, H., Jia, M., Zhang, X., Wang, Z., Liu, Y., Yang, J. and Ma, H. (2023), "Laboratory investigation on fumes generated by different modified asphalt binders", Transport. Res. Part D: Transport Environ., 121, 103828. https://doi.org/10.1016/j.trd.2023.103828.
  28. Li, J., Zhou, N., Sun, J., Zhou, S., Bai, Z., Lu, L. and Zuo, C. (2022), "Transport of intensity diffraction tomography with non-interferometric synthetic aperture for three-dimensional label-free microscopy", Light: Sci. Appl., 11(1), 154. https://doi.org/10.1038/s41377-022-00815-7.
  29. Li, K., Ji, L., Yang, S., Li, H. and Liao, X. (2022), "Couple-group consensus of cooperative-competitive heterogeneous multiagent systems: A fully distributed event-triggered and pinning control method", IEEE Transact. Cybernetics, 52(6), 4907-4915. https://doi.org/10.1109/TCYB.2020.3024551.
  30. Li, M., Wang, T., Chu, F., Han, Q., Qin, Z. and Zuo, M. J. (2021), "Scaling-Basis Chirplet Transform", IEEE Transact. Ind. Electron., 68(9), 8777-8788. https://doi.org/10.1109/TIE.2020.3013537.
  31. Li, Q., Lin, H., Tan, X. and Du, S. (2020), "H∞ consensus for multiagent-based supply chain systems under switching topology and uncertain demands", IEEE Transact. Syst., Man, Cybernetics: Syst., 50(12), 4905-4918. https://doi.org/10.1109/TSMC.2018.2884510.
  32. Li, Z., Zhu, T., Xiao, S., Zhang, J., Wang, X. and Ding, H. (2023), "Simulation method for train curve derailment collision and the effect of curve radius on collision response", Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit, 1294609545. https://doi.org/10.1177/09544097231154313.
  33. Liao, K., Lu, D., Wang, M. and Yang, J. (2022), "A low-pass virtual filter for output power smoothing of wind energy conversion systems", IEEE Transact. Ind. Electron., 69(12), 12874-12885. https://doi.org/10.1109/TIE.2021.3139177.
  34. Lim, S.G. and Hong, C.S. (1989), "Prediction of transverse cracking and stiffness reduction in cross-ply laminated composites", J. Compos. Mater., 23(7), 695-713. https://doi.org/10.1177/002199838902300704.
  35. Liu, J., Fan, C., Peng, Y., Du, J., Wang, Z. and Chu, C. (2023), "Emergent leader-follower relationship in networked multiagent systems", Sci. China Inform. Sci., 66(12), 229201. https://doi.org/10.1007/s11432-022-3741-3.
  36. Liu, J., Li, H., Harvey, J., Airey, G., Lin, S., Lee, S. L.J. and Yang, B. (2023), "Study on leaching characteristics and biotoxicity of porous asphalt with biochar fillers", Transport. Res. Part D: Transport Environ., 122, 103855. https://doi.org/10.1016/j.trd.2023.103855.
  37. Liu, L., Zhang, S., Zhang, L., Pan, G. and Yu, J. (2023), "Multi-UUV maneuvering counter-game for dynamic target scenario based on fractional-order recurrent neural network", IEEE Transact. Cybernetic., 53(6), 4015-4028. https://doi.org/10.1109/TCYB.2022.3225106.
  38. Liu, S. and Liu, C. (2021), "Direct harmonic current control scheme for dual three-phase PMSM drive system", IEEE Transact. Power Electron., 36(10), 11647-11657. https://doi.org/10.1109/TPEL.2021.3069862.
  39. Liu, S. and Liu, C. (2021), "Virtual-vector-based robust predictive current control for dual three-phase PMSM", IEEE Transact. Ind. Electron., 68(3), 2048-2058. https://doi.org/10.1109/TIE.2020.2973905.
  40. Lu, D., Ma, C., Du Xiuli, Jin, L. and Gong, Q. (2017), "Development of a new nonlinear unified strength theory for geomaterials based on the characteristic stress concept", Int. J. Geomech., 17(2). https://doi.org/10.1061/(ASCE)GM.1943-5622.0000729.
  41. Lu, S., Liu, S., Hou, P., Yang, B., Liu, M., Yin, L. and Zheng, W. (2023), "Soft tissue feature tracking based on deep matching network", Comput. Modeling Eng. Sci., 136(1), 363-379. https://doi.org/10.32604/cmes.2023.025217.
  42. Lu, X., Lestari, W. and Hanagud, S. (2001), "Nonlinear vibrations of a delaminated beam", J. Vib. Control, 7(6), 803-831. https://doi.org/10.1177/107754630100700603.
  43. Luo, R., Peng, Z. and Hu, J. (2023), "On model identification based optimal control and it' s applications to multi-agent learning and control", Mathematics, 11(4). https://doi.org/10.3390/math11040906.
  44. Luo, Y., Liu, J., Yang, H., Liu, H., Zeng, G. and Huang, B. (2023), "Enhanced circular dichroism by F-Type chiral metal nanostructures", Photonics, 10(9), 1028. https://doi.org/10.3390/photonics10091028.
  45. Ma, Q., Meng, Q. and Xu, S. (2023), "Distributed optimization for uncertain high-order nonlinear multiagent systems via dynamic gain approach", IEEE Transact. Syst. Man Cybernetics: Syst., 53(7), 4351-4357. https://doi.org/10.1109/TSMC.2023.3247456.
  46. Magi, F., Di Maio D. and Sever, I. (2016), "Damage initiation and structural degradation through resonance vibration: Application to composite laminates in fatigue", Compos. Sci. Technol., 132, 47-56. https://doi.org/10.1016/j.compscitech.2016.06.013.
  47. Meng, Q., Ma, Q. and Shi, Y. (2023), "Adaptive fixed-time stabilization for a class of uncertain nonlinear systems", IEEE Transact. Automatic Control, https://doi.org/10.1109/TAC.2023.3244151.
  48. Preumont, A. (2011), Vibration Control of Active Structures: An Introduction, Springer.
  49. Qian, J., Cao, Y., Bi, Y., Wu, H., Liu, Y., Chen, Q. and Zuo, C. (2023), "Structured illumination microscopy based on principal component analysis", eLight, 3(1), 4. https://doi.org/10.1186/s43593-022-00035-x.
  50. Rabiei, K., Ordokhani, Y. and Babolian, E. (2017), "The Boubaker polynomials and their application to solve fractional optimal control problems", Nonlinear Dyn., 88(2), 1013-1026. https://doi.org/10.1007/s11071-013-0841-8.
  51. Shi, J., Zhao, B., He, T., Tu, L., Lu, X. and Xu, H. (2023), "Tribology and dynamic characteristics of textured journal-thrust coupled bearing considering thermal and pressure coupled effects", Tribology Int., 180, 108292. https://doi.org/10.1016/j.triboint.2023.108292.
  52. Shi, M., Hu, W., Li, M., Zhang, J., Song, X. and Sun, W. (2023), "Ensemble regression based on polynomial regression-based decision tree and its application in the in-situ data of tunnel boring machine", Mech. Syst. Signal Processing, 188, 110022. https://doi.org/10.1016/j.ymssp.2022.110022.
  53. Shi, M., Lv, L. and Xu, L. (2023), "A multi-fidelity surrogate model based on extreme support vector regression: fusing different fidelity data for engineering design", Eng. Comput., 40(2), 473-493. https://doi.org/10.1108/EC-10-2021-0583.
  54. Shi, Y., Hu, J., Wu, Y. and Ghosh, B.K. (2023), "Intermittent output tracking control of heterogeneous multi-agent systems over wide-area clustered communication networks", Nonlinear Anal. Hybrid Syst., 50, 101387. https://doi.org/10.1016/j.nahs.2023.101387.
  55. Siyu Lu, J.Y.B.Y. (2023), "Analysis and design of surgical instrument localization algorithm", Comput. Modeling Eng. Sci., 137(1), 669-685. https://doi.org/10.32604/cmes.2023.027417.
  56. Sjogren, A. and Asp, L.E. (2002), "Effects of temperature on delamination growth in a carbon/epoxy composite under fatigue loading", Int. J. Fatigue, 24, 179-184. https://doi.org/10.1016/S0142-1123(01)00071-8.
  57. Song, F., Liu, Y., Jin, W., Tan, J. and He, W. (2022), "Data-driven feedforward learning with force ripple compensation for wafer stages: A variable-gain robust approach", IEEE Transact. Neural Networks Learning Syst., 33(4), 1594-1608. https://doi.org/10.1109/TNNLS.2020.3042975.
  58. Song, F., Liu, Y., Shen, D., Li, L. and Tan, J. (2022), "Learning control for motion coordination in wafer scanners: Toward gain adaptation", IEEE Transact. Ind. Electron., 69(12), 13428-13438. https://doi.org/10.1109/TIE.2022.3142428.
  59. Su, Y., Iyela, P. M., Zhu, J., Chao, X., Kang, S. and Long, X. (2024), "A Voronoi-based gaussian smoothing algorithm for efficiently generating RVEs of multi-phase composites with graded aggregates and random pores", Mater. Des., 244, 113159. https://doi.org/10.1016/j.matdes.2024.113159.
  60. Talreja, R. (2008), "Damage and fatigue in composites - A personal account", Compos. Sci. Technol., 68(13), 2585-2591. https://doi.org/10.1016/j.compscitech.2008.04.042.
  61. Tang, Y., Liu, S., Deng, Y., Zhang, Y., Yin, L. and Zheng, W. (2021), "An improved method for soft tissue modeling", Biomedical Signal Processing Control, 65. https://doi.org/10.1016/j.bspc.2020.102367.
  62. Tian, H., Zhao, M., Liu, J., Wang, Q., Yu, X. and Wang, Z. (2024), "Dynamic analysis and sliding mode synchronization control of chaotic systems with conditional symmetric fractional-order memristors", Fractal Fractional, 8(6), 307. https://doi.org/10.3390/fractalfract8060307.
  63. Tsai, P.W., Hayat, T., Ahmad, B. and Chen, C.W. (2015), "Structural system simulation and control via NN based fuzzy model", Struct. Eng. Mech., 56(3), 385-407. https://doi.org/10.12989/sem.2015.56.3.385.
  64. Tsai, P.W., Pan, J.S., Liao, B.Y., Tsai, M.J. and Istanda, V. (2012), "Bat algorithm inspired algorithm for solving numerical optimization problems", Appl. Mech. Mater., 148, 134-137. https://doi.org/10.4028/www.scientific.net/AMM.148-149.134.
  65. Wang, B., Shen, Y., Li, N., Zhang, Y. and Gao, Z. (2023), "An adaptive sliding mode fault-tolerant control of a quadrotor unmanned aerial vehicle with actuator faults and model uncertainties", Int. J. Robust Nonlinear Control, https://doi.org/10.1002/rnc.6631.
  66. Wang, B., Zhang, Y. and Zhang, W. (2022), "A composite adaptive fault-tolerant attitude control for a quadrotor UAV with multiple uncertainties", J. Syst. Sci. Complexity, 35(1), 81-104. https://doi.org/10.1007/s11424-022-1030-y.
  67. Wang, F., Wang, H., Zhou, X. and Fu, R. (2022), "A driving fatigue feature detection method based on multifractal theory", IEEE Sensors J., 22(19), 19046-19059. https://doi.org/10.1109/JSEN.2022.3201015.
  68. Wang, H., Wu, X., Zheng, X. and Yuan, X. (2022), "Model predictive current control of nine-phase open-end winding PMSMs with an online virtual vector synthesis strategy", IEEE Transact. Ind. Electron., 1. https://doi.org/10.1109/TIE.2022.3174241.
  69. Wang, J., Liang, F., Zhou, H., Yang, M. and Wang, Q. (2022), "Analysis of position, pose and force decoupling characteristics of a 4-UPS/1-RPS parallel grinding robot", Symmetry. 14(4), 825. https://doi.org/10.3390/sym14040825.
  70. Wang, J., Lin, S., Tan, D., Yin, J., Zhu, H. and Kuok, S.C. (2024). "A novel method for integrity assessment of soil-nailing works with actively heated fiber-optic sensors", J. Geotech, Geoenviron. Eng., 150(8), 04024063. https://doi.org/10.1061/JGGEFK.GTENG-11790.
  71. Xiao, Y., Zhang, Y., Kaku, I., Kang, R. and Pan, X. (2021), "Electric vehicle routing problem: A systematic review and a new comprehensive model with nonlinear energy recharging and consumption", Renew. Sustain. Energy Rev., 151, 111567. https://doi.org/10.1016/j.rser.2021.111567.
  72. Xie, L., Cen, X., Lu, H., Yin, G. and Yin, M. (2024), "A hierarchical feature-logit-based knowledge distillation scheme for internal defect detection of magnetic tiles", Adv. Eng. Inform., 61, 102526. https://doi.org/10.1016/j.aei.2024.102526.
  73. Xu, B. and Guo, Y. (2022), "A novel DVL calibration method based on robust invariant extended Kalman filter", IEEE Transact. Vehicular Technol., 71(9), 9422-9434. https://doi.org/10.1109/TVT.2022.3182017.
  74. Xu, B., Wang, X., Zhang, J., Guo, Y. and Razzaqi, A.A. (2022), "A novel adaptive filtering for cooperative localization under compass failure and non-gaussian noise", IEEE Transact. Vehicular Technol., 71(4), 3737-3749. https://doi.org/10.1109/TVT.2022.3145095.
  75. Xu, K. and Liu, Y. (2023), "Millimeter-wave on-chip bandpass filter using complementary-broadside-coupled structure", IEEE Transact. Circuits Syst. II: Express Briefs. https://doi.org/10.1109/TCSII.2023.3255310.
  76. Xu, K., Guo, Y., Liu, Y., Deng, X., Chen, Q. and Ma, Z. (2021), "60-GHz compact dual-mode on-chip bandpass filter using GaAs technology", IEEE Electron Device Lett., 42(8), 1120-1123. https://doi.org/10.1109/LED.2021.3091277.
  77. Xu, S., Dai, H., Feng, L., Chen, H., Chai, Y. and Zheng, W.X. (2023), "Fault estimation for switched interconnected nonlinear systems with external disturbances via variable weighted iterative learning", IEEE Transact. Circuits Syst. II: Express Briefs. https://doi.org/10.1109/TCSII.2023.3234609.
  78. Xu, X., Lin, Z., Li, X., Shang, C. and Shen, Q. (2022), "Multi-objective robust optimisation model for MDVRPLS in refined oil distribution", Int. J. Product. Res., 60(22), 6772-6792. https://doi.org/10.1080/00207543.2021.1887534.
  79. Yang, J., Li, H., Zou, J., Jiang, S., Li, R. and Liu, X. (2022), "Concrete crack segmentation based on UAV-enabled edge computing", Neurocomputing, 485, 233-241. https://doi.org/10.1016/j.neucom.2021.03.139.
  80. Yao, R., Ge, Z., Wang, D., Shang, N., & Shi, J. (2024). Self-sensing joints for in-situ structural health monitoring of composite pipes: A piezoresistive behavior-based method. Engineering Structures, 308, 118049. https://doi.org/10.1016/j.engstruct.2024.118049.
  81. Zhang, S., Li, F., Fu, R., Li, H., Zou, S., Ma, N. and Li, J. (2023), "A versatile continuum gripping robot with a concealable gripper", Cyborg Bionic Syst., 4. https://doi.org/10.34133/cbsystems.0003.
  82. Zhang, S., Liu, L., Zhang, X., Zhou, Y. and Yang, Q. (2024), "Active vibration control for ship pipeline system based on PI-LQR state feedback", Ocean Eng., 310, 118559. https://doi.org/10.1016/j.oceaneng.2024.118559.
  83. Zhang, S., Peng, R., Xu, M., Wu, V. and Navarro-Alarcon, D. (2021), "Collaborative imaging of subsurface cavities using ground-pipeline penetrating radar", Nonlin. Dyn., 76, 23-31. https://doi.org/10.1007/s11071-013-0869-9.
  84. Zhou, H., Cao, S., Zhang, S., Li, F. and Ma, N. (2023), "Design of a fuel explosion-based chameleon-like soft robot aided by the comprehensive dynamic model", Cyborg Bionic Syst., 4. https://doi.org/10.34133/cbsystems.0010.
  85. Zhou, P., Peng, R., Xu, M., Wu, V. and Navarro-Alarcon, D. (2021), "Path planning with automatic seam extraction over point cloud models for robotic arc welding", IEEE Robot. Automat, Lett., 6(3), 5002-5009. https://doi.org/10.1109/LRA.2021.3070828.
  86. Zhou, X., Lu, D., Du, X., Wang, G. and Meng, F. (2020), "A 3D non-orthogonal plastic damage model for concrete", Comput. Meth. Appl. Mech. Eng., 360, 112716. https://doi.org/10.1016/j.cma.2019.112716.