Papers by Author: Zhen Guo Wang

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Authors: Sheng Li Lv, Cheng Long Xu, Zhen Guo Wang, Fei Zhao, Xiao Yan Tong
Abstract: Corrosion of ocean engineering steel structures leads huge economic loses each year. To decrease corrosive loses and guarantee the safety of ocean steel structures, on the basis of Database on Corrosion of Ocean Engineering Materials and Structures (DCOEMS), the overall architecture of a digital simulation system is proposed based on the collection of existing models of corrosion damage on marine steel structures. Typical models involving uniform corrosion, pitting corrosion, stress corrosion and corrosion fatigue are sorted out and integrated in the simulation system which makes a thorough analysis for calculation and principle of professional module. The effective integration of corrosion damage, structural simulation and visualization is implemented successfully. It achieves the applications of the digital simulation. In the case of prediction and evaluation, it lays a good foundation for the development of the simulation system with independent intellectual property rights.
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Authors: Cheng Long Xu, Sheng Li Lv, Zhen Guo Wang, Wei Zhang
Abstract: The purpose of this work was to predict the fatigue life of pre-corroded LC4 aluminum alloy by applying artificial neural network (ANN). Specimens were exposed to the same corrosive environment for 24h, 48h, and 72h. Fatigue tests were conducted under different stress levels. The existing experimental data sets were used for training and testing the construction of proposed network. A suitable network architecture (2-15-1) was proposed with good performance in this study. For evaluating the method efficiency, the experimental results have been compared to values predicted by ANN. The maximum absolute relative error for predicted values does not exceed 5%. Therefore it can be concluded that using neural networks to predict the fatigue life of LC4 is feasible and reliable.
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Authors: Zhen Guo Wang, Sheng Li Lv, Cheng Long Xu, Wei Zhang
Abstract: . The corrosion damage data are obtained through the pre-corrosion accelerated experiment which is performed under three different time levels: 24h, 48h and 72h. Based on the corrosion damage data, a three-dimension (3D) solid model is created by CAD. An analysis procedure is developed using CAD and finite element analysis to predict stresses and residual strength due to corroded pits. The residual strength results of specimens are obtained from the model based on the corrosion damage data. The simulation results are compared with the true testing static intensity results and the method is proved that it is reliable and effective in engineering.
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Authors: Sheng Li Lv, Zhen Guo Wang, Cheng Long Xu, Wei Zhang
Abstract: According to the various grey values at different regions in an image, a three-dimension (3D) solid model is reconstructed based on the pitting corrosion damage data obtained from the pre-corrosion accelerated experiment which is performed under four different time levels: 12h, 24h, 48h and 72h by CAD. An analysis procedure is developed using finite element analysis to predict stresses and the crack nucleation site due to corroded pits. Based on the observations on fatigue fracture section, the AFGROW software is used to simulate the influence of a variety of corrosion damages and corrosion pit depths on the specimen’s residual fatigue life. An effective and reliable engineering method for predicting fatigue life of corroded specimen is established on the base of this research work.
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