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利用ANSYS软件建立蒸发罐的三维有限元模态分析模型,计算蒸发罐的前10阶固有频率,并给出前三阶结构振型图.根据模态分析的结果对蒸发罐结构的设计提出了一些建议,为工程设计提供有实用价值的参考. 相似文献
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介绍了轮胎定型硫化机机座模态的计算方法。通过简化硫化机机座模型,采用ANSYS进行固有频率的计算,并对结果进行分析,为硫化机的后续研究提供了设计依据。 相似文献
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对结构和所受载荷都非常复杂的某大型组合管式反应塔建立了有限元模型.采用Lanczos算法对组合管式反应塔进行模态分析,得到其固有频率,从而可以计算反应塔对风载荷和地震载荷的动态响应. 相似文献
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应用差分法数值上计算了玻纤环氧复合悬臂方板的固有频率和振形。进行了玻纤环氧复合悬臂板的模态试验。确定了模态参数。网格划分为8×8时,计算的固有频率值和试验值一致。本文还探讨了玻纤环氧复合悬臂板模态的尺寸效应.当板的长宽比减小时,模态趋于密集. 相似文献
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The self‐heating effect caused by the energy dissipation during vibration of viscoelastic materials is an important criterion in the evaluation of the structural degradation. In this study the theoretical model of the self‐heating of the polymeric layered FRP plate subjected to the resonant vibration was proposed. The model is based on the complex parameters, which could be obtained in DMA tests. The theoretical model is validated in several experiments. The experiment contains two stages: first, the modal analysis was performed for the evaluation of natural frequencies of vibration and further the specimens were excited to harmonic vibration with their resonant frequencies in the constant strain rate mode. During the second stage the force response and evolution of the temperature distributions on the surface of the specimens were registered. Obtained results allow identifying the self‐heating temperature evolution of the composite and determining the relation of the excitation frequency and self‐heating temperature. Several phenomena observed during the experiments were interpreted following their physical nature. Investigated problem could be applied for predicting the structural life of such composites and in diagnostics and structural health monitoring of the parts and constructions made of polymeric composites. POLYM. COMPOS., 2012. © 2011 Society of Plastics Engineers 相似文献
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丁军 《玻璃钢/复合材料》2017,(12):72-76
采用ANSYS有限元分析软件,对某船用天线罩进行模态分析及振动响应分析。考察罩体结构的危险区,分析敏感部位的应力、位移和加速度等的时间历程,并且通过振动试验验证仿真分析的正确性。 相似文献
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As most existing studies focus on developing models and theories describing the static strength of adhesive joints as a function of the fatigue loading, there is a lack of understanding on how the fatigue of the adhesive joint affects dynamic modal properties of the bonded structure. In applications such as automobile components, modal properties are critical in determining their dynamic performances. To investigate the relationship between modal properties of single lap joints (SLJs) and the cyclic-vibration-peel loading, this study first carries out vibration fatigue tests and subsequent modal response measurements using steel–aluminum SLJ specimens. It is experimentally demonstrated that modal frequencies of the SLJ structure tend to decrease with increasing vibration fatigue cycles. Furthermore, it is also shown that this trend is related to the fatigue characteristics of the adhesive layer. The fatigue degradation effects of Young's modulus and contact area between the adhesive and the adherends on modal frequencies are then investigated using a finite element model. Simulation results reveal that dramatic reductions in modulus and contact area values are required to result in the modal frequency shifting observed in experiments, which may not be always realistic. Although the findings in this study are informative, more research effort is needed to further identify the critical reason(s) for the experimental trend of decreasing modal frequencies with increasing vibration fatigue cycles. 相似文献
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Z. Gul Apalak Recep Ekici Mustafa Yildirim M. Kemal Apalak 《Journal of Adhesion Science and Technology》2013,27(12):1117-1139
In this study, Genetic Algorithms (GAs) combined with the proposed neural networks were implemented to the free vibration analysis of an adhesively bonded double containment cantilever joint with a functionally graded plate. The proposed neural networks were trained and tested based on a limited number of data including the natural frequencies and modal strain energies calculated using the finite element method. GA evaluates a value generated iteratively by an objective function and this value is calculated by the finite element method. The iteration process restricts us apparently to use directly the finite element method in our multi-objective optimisation problem in which the natural frequency is maximised and the corresponding modal strain energy is minimised. The proposed neural networks were used accurately to predict the natural frequencies and modal strain energies instead of calculating directly them by using the finite element method. Consequently, the computation time and efforts were reduced considerably. The adhesive joint was observed to tend vertical bending modes and torsional modes. Therefore, the multi-objective optimisation problem was limited to only the first mode which appeared as a bending mode. The effects of the geometrical dimensions and the material composition variation through the plate thickness were investigated. As the material composition of the horizontal plate becomes ceramic rich, both natural frequency and modal strain energy of the adhesive joint increased regularly. The plate length and plate thickness were more effective geometrical design parameters whereas the support length and thickness were less effective. However, the adhesive thickness had a small effect on the optimal design of the adhesive joint as far as the natural frequencies and modal strain energies are concerned. The distributions of optimal solutions were also presented for the adhesive joints with fundamental joint lengths and material compositions in reference to their natural frequencies and corresponding modal strain energies. 相似文献
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《Journal of Adhesion Science and Technology》2013,27(13):1507-1528
This study investigates the three-dimensional free vibration behaviour of an adhesively-bonded corner joint with single support. The modulus of elasticity, Poisson's ratio and density of adhesive were found to have negligible effects on the first 10 natural frequencies and mode shapes of the corner joint. The effects of the geometrical parameters, such as support length, plate thickness, adhesive thickness and joint length, on the natural frequencies, mode shapes and modal strain energies of the adhesive joint were also investigated using both the finite element method and the back-propagation artificial neural network (ANN) method. The free vibration and stress analyses were carried out for the corner joints with various random geometrical parameters so that a suitable ANN model could be trained successfully. The support length, plate thickness and joint length all played important roles in the natural frequencies, mode shapes and modal strain energies of the corner joint, whereas the adhesive thickness for the range of adhesive thickness studied had only a minor effect. The Genetic Algorithm was also combined with the present ANN models in order to determine the optimum geometrical dimensions which satisfied the maximum natural frequency and minimum modal strain energy conditions for each natural frequency and mode shape of the adhesively-bonded corner joint. 相似文献
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This study carries out the three dimensional free vibration analysis of an adhesively bonded corner joint and investigates the effect of an additional horizontal support to the adhesive corner joint with single support on the first ten natural frequencies and mode shapes. In the presence of a horizontal support the effects of the vertical support length, the adhesive thickness, the plate thickness, and the joint length on the natural frequencies and modal strain energies of the adhesive joint were also investigated using the back-propagation Artificial Neural Network (ANN) method and the finite element method. The natural frequencies and modal strain energies increased with increasing plate thickness, whereas an adverse effect was observed for increasing joint length. Both horizontal and vertical support lengths exhibited similar effects but the adhesive thickness had a negligible effect. The plate thickness and the joint length are dominant geometrical parameters in comparison with both horizontal and vertical support lengths. The proposed ANN models were combined with the Genetic Algorithm in order to determine the optimal corner joint in which the maximum natural frequency and minimum elastic modal strain energy are achieved for each natural frequency and mode shape of the adhesive corner joint and the optimal dimensions were given versus one geometrical parameter. 相似文献