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This study aims to establish a combinative method based on fingerprint,assay of multi-component and chemometrics for quality evaluation of Magnoliae Officinalis Cortex. Twenty batches of samples were determined by UPLC and a common mode of fingerprint was established. The similarities between fingerprints of 20 batches of samples were over 0. 90 and the common mode were evaluated. Eight components were identified as syringing, magnocurarine, magnoflorine, magnoloside B, magnoloside A, honokiol,magnolol,and piperitylmagnolol by comparison with reference substances and their content in samples were simultaneously determined.Based on the results,the fingerprint had good consistency between the same origin and minor diversity between the different sources.Piperitylmagnolol and peak 13 could be used as a distinction with the different sources. According to content of 8 components,Fisher discriminant analysis model was established and different source sample was classified pursuant to the discriminant fraction. It is indicated that simultaneous quantification of multi components coupled with chemometrics analysis could be a well-acceptable strategy to identify and evaluate the quality of Magnoliae Officinalis Cortex.

Two equivalent models based on sandwich panel theory and equivalent panel theory were discussed in this paper. By analyzing the performance of fiber - paper honeycomb sandwich structure compound panel by bending load, the computational results are in accordance with test and Engineering software ANSYS. Therefore, it shows that the finite element equivalent models are reasonable and practical for the optimization design of fiber - paper honeycomb sandwich composites.

The theory of natural frequencies were acquired from vibration experiment, meanwhile, the first order frequencies of honeycomb sandwich structure composites were obtained by using the sandwich laminboard theory and equivalent panel theory via the finite element software ANSYS. The simulation results were compared to the experiment results to get the error of calculation of the two different equivalent methods, thereby we can select more appropriate equivalent method to ensure the veracity of the result analysis and provide a reference for the optimization design of the fiber-paper honeycomb sandwich structure composites.

The aim of this paper is to present a finite element method to predict buckling characteristics of paper honeycomb sandwich panels with composite skins under dynamic axial compression via ANSYS/LS-DYNA. First of all, some problems of the conventional method using honeycomb plate theory, sandwich laminboard theory and equivalent panel theory were pointed out. In order to develop an effective predicting method, by assuming appropriate periodic boundary condition on the edges, a simplified finite element model on hexagonal structure of a unit cell for sandwich panels was developed utilizing the 3D finite element method. The effective Young's modulus of the cellular wall was obtained from the result of the test on the honeycomb core. Several useful conclusions are drawn about the axial crushing of honeycomb sandwich composites and unit cell and can be used to guide the design of composite structures. The paper further attempts to explain numerical results are well consistent with the corresponding experimental ones.