Searched for: collection%253Air
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Ji, C. (author), Hu, Jiqiang (author), Alderliesten, R.C. (author), Yang, Jinchuan (author), Zhou, Zhengong (author), Sun, Yuguo (author), Wang, Bing (author)
This paper aims to illustrate the effect of the impact damage on fatigue behavior of CF/PEEK-titanium hybrid laminates. To achieve this end, a fatigue life model was proposed to predict the S–N curves of the laminates at various initial impact energy levels and stress ratios based on the energy dissipation approach. The energy dissipation...
journal article 2024
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Xie, Weiming (author), Sun, J. (author), Guo, Leicheng (author), Xu, Fan (author), Wang, Xianye (author), Ji, Hongyu (author), Fan, Yaoshen (author), Wang, Zhengbing (author), He, Qing (author)
Coastal tidal flats provide valuable ecosystems, but are highly sensitive to tidal dynamics, sea-level rise, and human activities. Tidal inundation depth and frequency are known to affect tidal flat morphodynamics. However, the causes, processes and extent remain uncertain, particularly given the associated changes in sediment availability. In...
journal article 2023
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Ji, C. (author), Hu, Jiqiang (author), Sadighi, M. (author), Alderliesten, R.C. (author), Wang, Bing (author), Sun, Yuguo (author)
Fiber metal laminates (FMLs) provide a reliable approach for achieving lightweight in high-speed aerospace vehicles. However, the weak interfacial properties between metals and composites could significantly affect the deformation and failure modes of FMLs. In this paper, the low-velocity impact responses and damage mechanisms of CF/PEEK-Ti...
journal article 2022
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Ji, Y. (author), Li, Ni (author), Cheng, Zhanming (author), Fu, Xiaoqian (author), Sun, Xiaoguang (author), Chowwanonthapunya, Thee (author), Zhang, Dawei (author), Ren, Jingli (author), Dey, P. (author), Dong, Chaofang (author)
Corrosion jeopardizes the materials longevity and engineering safety, hence the corrosion rate needs to be forecasted so as to better guide materials selection. Although field exposure experiments are dependable, the prohibitive cost and their time-consuming nature make it difficult to obtain large dataset for machine learning. Here, we...
journal article 2022
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