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A thermo-mechanical progressive analysis model is proposed for predicting fatigue-driven delamination in composite laminated plates. The delamination is simulated based on extended layerwise method (XLWM). The traction-separation law is employed to the heat flux transfer and mechanical load transfer across the delamination front. A thermo-mechanical cohesive zone model (TM-CZM) is developed by Peerlings damage law to simulate the fatigue characteristic of delamination front. In the numerical examples, the effects of mesh lengths, acceleration multipliers, interface strengths, and cyclic temperature load magnitudes on the delamination expansion process are investigated, and the temperature-life curves of composite laminates are determined as well. [ABSTRACT FROM AUTHOR]

LADRC (Linear Active Disturbance Rejection Control) is a control method based on real-time estimation and compensation of internal and external disturbance of the system. The basic idea is to set up a dynamic and real-time interference observer to estimate all kinds of interference to the system, and use these estimates to adjust the output of the controller in real time, so as to suppress the ability of the system to be affected by interference and realize the accurate control of the system. [ABSTRACT FROM AUTHOR]

A two-scale computational continua (C2) model is proposed for the multiscale analysis of honeycomb sandwich plates. In this model, the macroscopic problem is simulated by the third-order shear deformation theory (TSDT), while a single computational unit cell (CUC) with facesheets and honeycomb core is regarded as the microscopic problem and it is discretized by the 3D solid elements, so the proposed model is called as two-scale C2-TSDT. In the numerical examples, the results of proposed C2 model are compared with these of the direct numerical simulation (DNS) model and the homogenization model, and a good agreement is achieved. [ABSTRACT FROM AUTHOR]

Aiming at the problem of large error and long time of traditional dangerous driving behavior recognition, this paper designs a dangerous driving behavior recognition method based on Apriori algorithm in rush hour. Firstly, the basic coordinate system and the world coordinate system of the camera are established, and the driving behavior images of the driver are collected comprehensively by means of homogeneous matrix transformation. After the grayscale processing of the image, median filtering method is used to suppress the noise in the image, and histogram equalization algorithm is used to enhance the image. Finally, dangerous driving behavior is located by determining the face and hand change characteristics of dangerous driving behavior, and the Apriori algorithm is used to determine the frequent item set of dangerous driving behavior, and the principal component of dangerous driving behavior image is extracted to achieve effective recognition. Experimental results show that the proposed method can keep the recognition error below 2.0%, and its global maximum recognition time is only 0.21s, indicating that the proposed method effectively achieves the design expectation. [ABSTRACT FROM AUTHOR]

Uniform Prussian blue Fe3[Fe(CN)6]2 nanocrystals were synthesized by a direct dissociation and reduction of the single-Fe(III)-source precursor K3Fe(CN)6 under low-temperature hydrothermal conditions. UV-visible absorption spectrum, Fourier transform infrared spectrum, X-ray diffraction, field emission scanning electron microscope, X-ray photoelectron spectra, high-resolution transmission electron microscopy, and electrochemical testing were used to characterize and verify the synthesized Prussian blue nanocrystal product. The size of the synthesized product had a strong dependence on the acidity condition and the concentration of K3Fe(CN)6 solution. This result may facilitate not only the exploration of preparing Fe3[Fe(CN)6]2 nanocrystals for particular applications but also an in-depth explanation of the nature of the hydrothermal reaction. The Prussian blue nanocrystals were deposited onto an electrode support through lyotropic liquid crystalline templates to detect hydrogen peroxide (H2O2) by reduction reaction. Cyclic voltammograms showed that the Prussian blue modified electrode was of excellent electrocatalytic activity for H2O2. This electrode demonstrated a detection limit (1 × 10−7 M) and a linear range starting from the detection limit and extending over 6 orders of magnitude of H2O2 concentrations (1 × 10−7 to 1 × 10−1 M), which was of excellent performance in detecting H2O2. [ABSTRACT FROM AUTHOR]