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RISS 인기검색어
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- 저자 : Yuqian Chen (검색결과 4 건)
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Impact Analysis Model of Landslide-generated Waves on Local Damage to Post-earthquake Arch Dams
Yuqian Li,Jianyun Chen,Qiang Xu,Jing Li 대한토목학회 2024 KSCE Journal of Civil Engineering Vol.28 No.7
The purpose of this study is to propose an impact analysis model to explore the effect of the post-earthquake landslide surge on local damage to ultra-high arch dams. Based on the existing pressure model of landslide-generated waves impacting the dam, nonlinear dynamic analysis is conducted on a high arch dam subjected to the landslide surge of different surge heights after the earthquake, through numerical simulation. According to the theory of nonlinear least squares, the relationship between the surge height and the damage value of all dam elements is fitted with a Sigmoid function, and the results show good fitting performance. This result proves that the proposed impact analysis model can well reflect the influence of the surge height on the local damage to arch dams. In addition, three parameters are defined based on this model. The influence of the post-earthquake landslide surge on the local damage of arch dams at different positions is analyzed based on these three parameters, and the vulnerable positions of the dam body under the impact of the post-earthquake landslide surge are determined. The model has important significance for the safety evaluation of dams affected by landslide-generated waves after an earthquake.
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Guaranteed Fault-estimation Algorithm Based on Interval Set Inversion Observer Filtering
Ziyun Wang,Mengdi Zhang,Yuqian Chen,Yan Wang,Zhicheng Ji 제어·로봇·시스템학회 2022 International Journal of Control, Automation, and Vol.20 No.11
A guaranteed fault-estimation algorithm based on interval set inversion observer filtering is proposed for linear discrete-time systems with unknown but bounded disturbance and noise. The minimal conservative interval observer is designed by minimizing the F-norm of the state error. Vector Boolean operations and dimensional operations are used to develop a new interval set inversion algorithm to further contract the guaranteed interval estimation results of the observer. The computational complexity, memory requirements, and accuracy of the proposed algorithm are also analyzed. Finally, simulation examples are provided to verify the efficiency and practicability of the proposed algorithm.
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Numerical simulation approach for structural capacity of corroded reinforced concrete bridge
Zhou, Xuhong,Tu, Xi,Chen, Airong,Wang, Yuqian Techno-Press 2019 Advances in concrete construction Vol.7 No.1
A comprehensive assessing approach for durability of reinforced concrete structures dealing with the corrosion process of rebar subjected to the attack of aggressive agent from environment was proposed in this paper. Corrosion of rebar was suggested in the form of combination of global corrosion and pitting. Firstly, for the purposed of considering the influence of rebar's radius, a type of Plane Corrosion Model (PCM) based on uniform corrosion of rebar was introduced. By means of FE simulation approach, global corrosion process of rebar regarding PCM and LCM (Linear Corrosion Model) was regressed and compared according to the data from Laboratoire $Mat{\acute{e}}riaux$ et $Durabilit{\acute{e}}$ des Constructions (LMDC). Secondly, pitting factor model of rebar in general descend law with corrosion degree was introduced in terms of existing experimental data. Finally, with the comprehensive numerical simulation, the durability of an existing arch bridge was studied in depth in deterministic way, including diffusion process and sectional strength of typical cross section of arch, crossbeam and deck slab. Evolution of structural capacity considering life-cycle rehabilitation strategy indicated the degradation law of durability of reinforced arch bridges.
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Ji Chunxiang,Li Yingyue,Xiao Qingchen,Li Zishan,Wang Boyan,Geng Xiaowan,Lin Keqing,Zhang Qing,Jin Yuan,Zhai Yuqian,Li Xiaoyu,Chen Jin 한국미생물·생명공학회 2023 Journal of microbiology and biotechnology Vol.33 No.8
Arbuscular mycorrhizal fungi (AMF) are widespread soil endophytic fungi, forming mutualistic relationships with the vast majority of land plants. Biochar (BC) has been reported to improve soil fertility and promote plant growth. However, limited studies are available concerning the combined effects of AMF and BC on soil community structure and plant growth. In this work, a pot experiment was designed to investigate the effects of AMF and BC on the rhizosphere microbial community of Allium fistulosum L. Using Illumina high-throughput sequencing, we showed that inoculation of AMF and BC had a significant impact on soil microbial community composition, diversity, and versatility. Increases were observed in both plant growth (the plant height by 8.6%, shoot fresh weight by 12.1%) and root morphological traits (average diameter by 20.5%). The phylogenetic tree also showed differences in the fungal community composition in A. fistulosum. In addition, Linear discriminant analysis (LDA) effect size (LEfSe) analysis revealed that 16 biomarkers were detected in the control (CK) and AMF treatment, while only 3 were detected in the AMF + BC treatment. Molecular ecological network analysis showed that the AMF + BC treatment group had a more complex network of fungal communities, as evidenced by higher average connectivity. The functional composition spectrum showed significant differences in the functional distribution of soil microbial communities among different fungal genera. The structural equation model (SEM) confirmed that AMF could improve the microbial multifunctionality by regulating the rhizosphere fungal diversity and soil properties. Our findings provide new information on the effects of AMF and biochar on plants and soil microbial communities.
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