Some Observations of the Influence Factors on the Response of Pile Groups

Qian-qing Zhang,Shi-min Zhang,Fayun Liang,Qian Zhang,Fei Xu 대한토목학회 2015 KSCE JOURNAL OF CIVIL ENGINEERING Vol.19 No.6

A simplified approach for nonlinear analysis of the load-displacement response of pile groups embedded in multilayered soils is presented in this work. A hyperbolic model is used to capture the relationship between unit skin friction and pile-soil relative displacement developed along the pile-soil interface and the stress-displacement relationship developed at the pile end. Considering interactive effect among piles, the parameters related to the hyperbolic model of an individual pile in a group can be computed. As to the analysis of the response of pile groups, a highly effective iterative computer program is developed using the hyperbolic model of an individual pile in a group. The efficiency and accuracy of the present method is verified using a well-documented field test. Furthermore, a parametric study is conducted to capture the influence of pile spacing and number of piles on the load-settlement response of the pile groups connected to a rigid cap. The pile-group settlement ratio and the pile-group resistance ratio are analyzed to assess the interaction effect among individual piles.

How the International Cooperation in “Sci-tech +Industry” Model Working in Developing Mango as “One Village and One Product”: Citing the Industrial Upgrading Experience in Baihua Village as An Example

Yanxiu Zuo(Yanxiu Zuo),Junxiang Qian(Junxiang Qian),Lichi Li(Lichi Li),Zhangguan Ni(Zhangguan Ni),Jun Wu(Jun Wu),Huiyun Zhang(Huiyun Zhang),Yufu Chen(Yufu Chen),Huiyun Zhang(Huiyun Zhang),Li Yao(Yao L 아시아사회과학학회 2022 Jornal of Asia Social Science Vol.9 No.1

Baihua Village is a typical mountainous village in the southwest part of Lujiang county, Longyang District, Baoshan City, Yunnan Province. Residents there made a living on the land, including growing sugarcane and planting maize, whose annual income was no more than 2000 yuan before 2006. Since then when a research institute has set it as one of the pilot villages for mango growing impetus with sci-tech. For the sake of “One village and One Product”, mango breeding and relevant techniques have been applied to daily work. Within years, the developed model of has been explored: simply “villages are the main carriers facilitated by the specialized cooperative for mango growing, back-up by science and technology. Technical trainings serve as the driving force for the leading growers, meanwhile, sellers work as the bridge link the producing-end and the markets”.

Preparation and electrochemical properties of self-doped nitrogen porous carbon derived from Zn-MOFs

Zhang Dongqiang,Zhang Chi,Wang Qian,Li Shuai,Zhao Xia,Luo Heming 한국탄소학회 2020 Carbon Letters Vol.30 No.3

Metal–organic frameworks (MOFs) are network-like frameworks composed of transition metals and organic ligands con�taining oxygen or nitrogen. Because of its highly controllable composition and ordered porous structure, it has broad appli�cation prospects in the feld of material synthesis. In this work, Zn4(PYDC)4(DMF)2∙3DMF (ZPD) was synthesized via a hydrothermal method. Self-doped nitrogen porous carbon ZPDC-T was then prepared by one-step carbonization. The results show that the self-doped nitrogen porous carbon ZPDC-850 has a micro/mesoporous structure with a specifc surface area of 1520 m2 g−1 and a nitrogen content of 6.47%. When a current density is 1.0 A g−1, its specifc capacitance is 265.1 F g−1 . After 5000 times of constant current charging and discharging, the capacitance retention rate was 79.2%. Thus, self-doped nitrogen porous carbon ZPDC-850 exhibits excellent electrochemical properties and good cyclic stability. Therefore, the self-doped nitrogen porous carbon derived from MOFs can be a promising electrode material for superc

High-performance Zinc-Tin-Oxide thin film transistors based on environment friendly solution process

Qian Zhang,Guodong Xia,Lubin Li,Wenwen Xia,Hong-Yu Gong,Sumei Wang 한국물리학회 2019 Current Applied Physics Vol.19 No.2

Zinc-Tin-Oxide (ZTO) thin films were fabricated using a simple and eco-friendly sol-gel method and their application in thin film transistors (TFTs) was investigated. Annealing temperature has a crucial influence on the structure and electrical properties of sol-gel ZTO thin films. The ZTO thin films annealed at 300–600 °C revealed smooth and uniform surfaces with amorphous state, in addition, a high optical transparency over 90% of the ZTO films in the visible range was obtained. The electrical performance of ZTO TFTs showed obvious dependence on annealing temperature. The ZTO TFTs annealed at 500 °C showed a high carrier mobility of 5.9 cm2 /V, high on/off current ratio (Ion/off) of 106 -107 , and threshold voltage (Vth) of 1.03 V. To demonstrate the application of sol-gel ZTO films in low-power display fields, we also fabricated ZTO TFTs with a solution-processed high-permittivity (high-k) ZrTiOx dielectric layer. The ZTO/ZrTiOx TFTs showed high mobility of 17.9 cm2 /V and Ion/off of 105 -106 at a low operation voltage of 3 V, indicating that Indium-free ZTO thin films would be potential candidates for low cost, high performance oxide TFT devices.

An Improved Mathematical Model for Estimating Polarization Parameters of Transformer Oil-Paper Insulation

Zhang Tao,Mandala Antonio Tome,Zuo Qian,Zhang Ning,Jiang Shijie 대한전기학회 2022 Journal of Electrical Engineering & Technology Vol.17 No.4

The parameters of dielectric response based on extended Debye circuit model can refl ect oil-paper insulation state. The model using the initial slop of recovery voltage to estimate circuit parameters, serve as good quality consistency with the measured data. However, the model can be applicable for large power transformers but not for distribution transformers. This paper proposed an improved mathematical model using recovery voltage peak, peak time and initial slope characteristics to solve dielectric response equivalent circuit parameters. The identifi cation of equivalent circuit parameters is converted into a mathematical optimization problem. And then particle swarm optimization algorithm is used for solving the problem. The improved mathematical model can decrease sampling data of recovery voltage. To check the validity of the estimated parameters, the on-site measured data of RVM experiments on actual transformers in various capacities is applied. The calculated result shows that the recovery voltage curve calculated and measured recovery voltage curve have good consistency, which can be advantageous to diagnose the oil-paper insulation status of transformer. It illustrates that the improved method proposed in this paper is feasible and eff ective.

Hybrid Model for Renewable Energy and Load Forecasting Based on Data Mining and EWT

Zhang Jinjin,Zhang Qian,Li Guoli,Wu Junjie,Wang Can,Li Zhi 대한전기학회 2022 Journal of Electrical Engineering & Technology Vol.17 No.3

Accurate renewable resource (RES) and load prediction play key roles in the power grid planning schemes, eff ective dispatch, and stable operation of power systems. The proportions of wind and solar energy continue to increase, leading to wind and light abandonment. Thus, the absorption of wind and photovoltaic power is particularly important. On the basis of accurately predicting load, wind power and photovoltaic output, the accommodation capacity of wind and photovoltaic power is analyzed. The work contains fi ve parts, as follows: (1) empirical wavelet transform (EWT) is used to decompose wind power and load. At the same time, isolated forest (iForest) and fuzzy C-means clustering (FCM) are used to process photovoltaic data. (2) Low frequency and intermediate frequency components of load are predicted by improved random forest (IRF). High frequency component of load is clustered by improved density-based spatial clustering of applications with noise (IDBSCAN). The processing model is selected on the basis of the characteristics of each class sample. Each component of wind power are predicted by IRF. (3) Photovoltaic power of each category is predicted by IRF. (4) Diff erent components of load and wind power data are added. The photovoltaic power forecast data are synthesized according to the time point. (5) The forecast value of load, wind power, and photovoltaic output of a city are comprehensively evaluated by the summarized prediction level indicators. Three accommodation indicators are used for analyzing the accommodation capacity of wind power and photovoltaic. Results show that the forecasting methods of load, wind power, and photovoltaic power can generate better forecasting results than conventional methods. The analysis results of supplementary prediction level and accommodation indices provide reference for eff ective grid dispatching, sustainable, and healthy energy development.

Brain atlas fusion from high-thickness diagnostic magnetic resonance images by learning-based super-resolution

Zhang, Jinpeng,Zhang, Lichi,Xiang, Lei,Shao, Yeqin,Wu, Guorong,Zhou, Xiaodong,Shen, Dinggang,Wang, Qian Elsevier 2017 Pattern recognition Vol.63 No.-

<P><B>Abstract</B></P> <P>It is fundamentally important to fuse the brain atlas from magnetic resonance (MR) images for many imaging-based studies. Most existing works focus on fusing the atlases from high-quality MR images. However, for low-quality diagnostic images (i.e., with high inter-slice thickness), the problem of atlas fusion has not been addressed yet. In this paper, we intend to fuse the brain atlas from the high-thickness diagnostic MR images that are prevalent for clinical routines. The main idea of our works is to extend the conventional groupwise registration by incorporating a novel super-resolution strategy. The contribution of the proposed super-resolution framework is two-fold. First, each high-thickness subject image is reconstructed to be isotropic by the patch-based sparsity learning. Then, the reconstructed isotropic image is enhanced for better quality through the random-forest-based regression model. In this way, the images obtained by the super-resolution strategy can be fused together by applying the groupwise registration method to construct the required atlas. Our experiments have shown that the proposed framework can effectively solve the problem of atlas fusion from the low-quality brain MR images.</P> <P><B>Highlights</B></P> <P> <UL> <LI> We fuse the brain atlas from real diagnostic MR images with high inter-slice thickness. </LI> <LI> All images are processed through the two-stage learning-based super-resolution. </LI> <LI> Groupwise registration is applied for unbiased atlas fusion. </LI> </UL> </P>

Transparent and Self-Powered Multistage Sensation Matrix for Mechanosensation Application

Zhang, Qian,Jiang, Tao,Ho, Donghae,Qin, Shanshan,Yang, Xixi,Cho, Jeong Ho,Sun, Qijun,Wang, Zhong Lin American Chemical Society 2018 ACS NANO Vol.12 No.1

<P>Electronic skin based on a multimodal sensing array is ready to detect various stimuli in different categories by utilizing highly sensitive materials, sophisticated geometry designs, and integration of multifunctional sensors. However, it is still difficult to distinguish multiple and complex mechanical stimuli in a local position by conventional multimodal E-skin, which is significantly important in the signals’ feedback of robotic fine motions and human–machine interactions. Here, we present a transparent, flexible, and self-powered multistage sensation matrix based on piezoelectric nanogenerators constructed in a crossbar design. Each sensor cell in the matrix comprises a layer of piezoelectric polymer sandwiched between two graphene electrodes. The simple lamination design allows sequential multistage sensation in one sensing cell, including compressive/tensile strain and detaching/releasing area. Further structure engineering on PDMS substrate allows the sensor cell to be highly sensitive to the applied pressures, representing the minimum sensing pressure below 800 Pa. As the basic combinations of compressive/tensile strains or detaching/releasing represent individual output signals, the proposed multistage sensors are capable of decoding to distinguish external complex motions. The proposed self-powering multistage sensation matrix can be used universally as an autonomous invisible sensory system to detect complex motions of the human body in local position, which has promising potential in movement monitoring, human–computer interaction, humanoid robots, and E-skins.</P><P><B>Graphic Abstract</B> <IMG SRC='http://pubs.acs.org/appl/literatum/publisher/achs/journals/content/ancac3/2018/ancac3.2018.12.issue-1/acsnano.7b06126/production/images/medium/nn-2017-06126z_0005.gif'></P><P><A href='http://pubs.acs.org/doi/suppl/10.1021/nn7b06126'>ACS Electronic Supporting Info</A></P>

Functional Roles of Ca _v 1.3(α _1D ) Calcium Channels in Atria : Insights Gained From Gene-Targeted Null Mutant Mice

Zhang, Zhao,He, Yuxia,Tuteja, Dipika,Xu, Danyan,Timofeyev, Valeriy,Zhang, Qian,Glatter, Kathryn A.,Xu, Yanfang,Shin, Hee-Sup,Low, Reginald,Chiamvimonvat, Nipavan Ovid Technologies Wolters Kluwer -American Heart A 2005 CIRCULATION - Vol.112 No.13

<P>Previous data suggest that L-type Ca2+ channels containing the Cav1.3(alpha(1D)) subunit are expressed mainly in neurons and neuroendocrine cells, whereas those containing the Cav1.2(alpha1C) subunit are found in the brain, vascular smooth muscle, and cardiac tissue. However, our previous report as well as others have shown that Cav1.3 Ca2+ channel-deficient mice (Cav1.3(-/-)) demonstrate sinus bradycardia with a prolonged PR interval. In the present study, we extended our study to examine the role of the Cav1.3(alpha1D) Ca2+ channel in the atria of Cav1.3(-/-) mice.</P>

12. Sulfur Deprivation Affects Sulfate and Nitrate Assimilation in Brassica napus L.

Qian Zhang,Bok-Rye Lee,Sang-Hyun Park,Tae Hwan Kim 한국초지조사료학회 2013 한국초지조사료학회 학술대회논문집 Vol.2013 No.09