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- 저자 : Zhiping Wen (검색결과 6 건)
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Xin Wen,Yanlin Jing,Zhiping Hu,Jigang Shao,Jieru Li,Rui Wang 대한토목학회 2021 KSCE JOURNAL OF CIVIL ENGINEERING Vol.25 No.12
It is of great importance to study the behavior of loess moisture infiltration based on the loess permeability velocity to prevent geological disasters by loess collapsibility and get effective solutions for the problems of practical engineering. In this study, a custom-made permeation device was used to measure the permeation velocity of collapsible loess before and after water immersion and consolidation. The infiltration characteristics of the undisturbed collapsible loess under different consolidation pressures were discussed, and the influence of the pore characteristics on the permeability velocity was analyzed by the mercury injection test. Meanwhile, the correlations of various types of pores on the permeability velocity were studied by the gray relational entropy method to further reveal the water infiltration mechanism in loess. The results showed that the soil is compressed after consolidation and immersion tests, and the pore volume and pore diameter decreases. However, permeability velocity increases rather than decreases, and the self-weight collapsible state has the most significant permeability velocity. To the collapsible loess, the permeability velocity decreases with the increase of soil pore area. Additionally, small pores show the strongest correlation with permeability velocity. The conclusions of this study have a positive role in guiding foundation treatments and slope stability in collapsible loess areas.
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Fractal behavior identification for monitoring data of dam safety
Huaizhi Su,Zhiping Wen,Feng Wang 국제구조공학회 2016 Structural Engineering and Mechanics, An Int'l Jou Vol.57 No.3
Under the interaction between dam body, dam foundation and external environment, the dam structural behavior presents the time-varying nonlinear characteristics. According to the prototypical observations, the correct identification on above nonlinear characteristics is very important for dam safety control. It is difficult to implement the description, analysis and diagnosis for dam structural behavior by use of any linear method. Based on the rescaled range analysis approach, the algorithm is proposed to identify and extract the fractal feature on observed dam structural behavior. The displacement behavior of one actual dam is taken as an example. The fractal long-range correlation for observed displacement behavior is analyzed and revealed. The feasibility and validity of the proposed method is verified. It is indicated that the mechanism evidence can be provided for the prediction and diagnosis of dam structural behavior by using the fractal identification method. The proposed approach has a high potential for other similar applications.
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A Large Gain Varialble range, Wide bandwidth Analog AGC Circuitry for a CMOS GPS Receiver
Dianwei Zhang,WeiMin Li,Zhiping Wen,Quan Pan 제어로봇시스템학회 2008 제어로봇시스템학회 국제학술대회 논문집 Vol.2008 No.10
In this paper, a large gain variable range, wide-band automatic gain circuitry (AGC) is introduced. Because we employed a simple mean detection technique, the AGC loop dissipates less than 1mA current under 3.3V supply voltage, and acts as a bandpass filter due to a DC offset cancellation scheme. The whole circuitry is designed in 0.35um JAZZ CMOS process, including variable gain amplifiers(VGAs)、fixed gain amplifiers 、gain control and DC offset cancellation part. The AGC provides a process independent gain variable range of 56dB, with a 70us loop lock time.
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Meng Yang,Huaizhi Su,Zhiping Wen 사단법인 한국계산역학회 2017 Computers and Concrete, An International Journal Vol.19 No.5
In this study, an aging deformation statistical model for a unique high and steep rock slope was proposed, and the aging characteristic of the slope deformation was better reflected. The slope displacement was affected by multiple-environmental factors in multiple scales and displayed the same tendency with a rising water level. The statistical model of the high and steep rock including non-aging factors was set up based on previous analyses and the study of the deformation and residual tendency. The rule and importance of the water level factor as a non-aging unit was analyzed. A partitioned statistical model and mutation model were established for the comprehensive cumulative displacement velocity with the monitoring study under multiple factors and multiple parameters. A spatial model was also developed to reflect and predict the whole and sectional deformation character by combining aging, deformation and space coordinates. A neural network model was built to fit and predict the deformation with a high degree of precision by mastering its feature of complexity and randomness. A three-dimensional finite element model of the slope was applied to approach the structure character using numerical simulations. Further, a three-dimensional finite element model of the slope and dam was developed, and the whole deformation state was analyzed. This study is expected to provide a powerful and systematic method to analyze very high, important and dangerous slopes.
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Su, Huaizhi,Yang, Meng,Wen, Zhiping Techno-Press 2016 Structural monitoring and maintenance Vol.3 No.2
The Pulse-Pre Pump Brillouin Optical Time Domain Analysis (PPP-BOTDA) technique is introduced to implement the multi-direction strain measurement. The monitoring principle is stated. The layout scheme of optical fibers is proposed. The temperature compensation formula and its realizing method are given. The experiments, under tensile load, combined bending and tensile load, are implemented to validate the feasibility of the proposed method. It is shown that the PPP-BOTDA technique can be used to discriminate the multi-direction strains with high spatial resolution and precision.
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MgO nanosheets with N-doped carbon coating for the efficient visible-light photocatalysis
Xiaogang Zheng,Ke Wang,Zhiping Huang,Yong Liu,Jing Wen,Hao Peng 한국공업화학회 2019 Journal of Industrial and Engineering Chemistry Vol.76 No.-
MgO nanosheets with N-doped carbon coating (MgO@N-C) were fabricated for the enhancedphotocatalytic degradation of dyes (methylene blue, methyl violet, and Rhodamine B) and antibiotics(ciprofloxacin and tetracycline hydrochloride) in visible light region. The effects of N-doping content,reactant concentration, pH value, and inorganic ions on the photocatalytic performance in degradation ofmethylene blue were investigated in this work. Narrow band gap energy and heterojunction interfaceendowed the extended light-harvesting capacity to visible light region and the efficient charge transfer,leading to the excellent photocatalytic activity and durability of MgO@N-C-3 with N-doping content of 1.52%.
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