## 1 Introduction
[27] proposed a very efficient computational model for fluid-structure interaction problems, which provided detailed information on the stress distribution in turbine blades. Such detailed stress distributions is of special interest in studies of fatigue failure risk. When compared to conventional materials, [PERSON] et al. 's investigation of a piezoelectric wind turbine blade material revealed that the stress at the blade root and the displacement at the blade tip both decreased, and the likelihood of fatigue failure and overload at the blade root was significantly lower [28]. [PERSON] et al. [29] used numerical simulation analysis of wind turbine blade loads to determine mechanical parameters for fatigue analysis, such as the load cycle, maximum stress, minimum stress, mean stress, stress amplitude, and equivalent stress. They also proposed a method for investigating the fatigue damage of a composite wind turbine blade. Wind turbine blades are structurally impacted by cyclic stress. Wind turbine blade strain was analyzed by [PERSON] et al. [30; 31] who also provided quantitative proof of the process leading to blade collapse. Additionally, they identified the underlying reasons and failure mechanisms of blade collapse. To simulate the failure behavior of box beams, they created a continuum-damage, mechanics-based, progressive failure analysis approach in a 3D stress-strain domain. This modelling approach could predict both the strength and failure of box beams with reasonable accuracy. It showed a potential ability to aid in the design of damage-tolerant composite wind turbine blades by facilitating reasonable failure prediction at large structural scales. According to [PERSON] et al. [32], fracture of the aft panel leads to catastrophic blade failure, and delamination is caused by an uneven load distribution. To determine tiny stresses and to simulate microscopic damage, [PERSON] et al. [33] established an isoperimetric micromechanical model. Various measurement and loading methods have been used in experimental research on the stress-strain of wind turbine blades. [PERSON] et al. [34; 35] proposed a method for measuring the full-field dynamic strain of a wind turbine structure from a limited set of measurements. Meanwhile, their approach was used to extract the full-field dynamic strain on a wind turbine assembly subject to arbitrary loading conditions. The strains predicted by this method agreed with those measured by strain gauges, and the two techniques determined the strains on both the surface and interior parts of the structure. [PERSON] et al. [36] proposed a novel and economical optical technique based on 3D digital image correlation (3D-DIC) for monitoring the health of wind turbine blades. The full-field dynamic parameters of displacement and strain were obtained, and they diagnosed blade health in both the time and frequency domains. The findings demonstrate that 3D-DIC is a reliable non-contact technique for operating wind turbine blade health monitoring. [PERSON] [37] utilized an advanced modeling approach to improve the consistency between numerical predictions and experimental observations of displacement, stress, and strain values in a numerical study of stress-strain in wind turbine blades in order to increase the accuracy of structural predictions for wind turbines. [PERSON] et al. [38] proposed an improved method of applying loads to a 3D finite element blade model and calculated the global and local stress-strain on wind turbine blades during normal operation as well as extreme wind cases. A dynamic load and stress analysis of a wind turbine was conducted by [PERSON] et al. [39] using transient fluid-structure interaction simulations. The k-epsilon turbulence model was used, and the computational fluid dynamics (CFD) and computational solid mechanics solvers were strongly coupled using an in-house code. During the simulations, the transient evolution of loads, stresses, and displacements on each blade was monitored.