Finite Element Analysis and Test Study on Restraint of High-energy Pipe Whip in Conventional Island

Ling-yun Peng,Yu-ke Deng,Hua-ting Chen,Ying-jie Kang,Xiang-xiu Li 대한토목학회 2019 KSCE JOURNAL OF CIVIL ENGINEERING Vol.23 No.4

The effects of high-energy pipe whipping after rupturing are very important in an AP1000 nuclear power plant's conventional island and restraints of pipe whipping should be considered in the design. It is the first time in the country when reinforced concrete shear walls are used as restraint services. In this paper, the behaviors of walls and restraint services subjected to pipe whipping are analyzed through static and dynamic methods in the finite element software (ABAQUS), in which all kinds of nonlinearities are considered. In addition, a test study on the restraint of pipe whipping is conducted. The results show that the wall and the restraint service can prevent pipe whipping effectively under the design load, and anchor plates arranged around the wall opening can improve the local concrete compression performance of concrete to reduce the damage of concrete. Meanwhile, the study also provides the valuable reference for wall designing to prevent from pipe whipping.

Optimized Architecture Design of Shared MDS Storage Systems with Hotspot Buffer

Peng Hai-Yun,Niu Ling 보안공학연구지원센터 2015 International Journal of Hybrid Information Techno Vol.8 No.9

The ability of storage and energy consumption are the core problem faced by the data centers. The shared MDS storage system takes obvious advantage of large-scale , especially PB-level scale storage systems in solving the problem of efficiency and energy consumption.So designed the optimized architecture with hot-spot buffer, and put forward a new method of performance evaluation for the system. We also analyzed the energy consumption in parallelized data requests in the system. We find out that this architecture improved the throughout in the request of chunk data, and reduced the energy consumption. The serving efficiency and performance of the system are also improved significantly.

Interactions among Measles Virus Hemagglutinin, Fusion Protein and Cell Receptor Signaling Lymphocyte Activation Molecule (SLAM) Indicating a New Fusion-trimer Model

Peng Zhang,Ling Yun Li,Chun Lin Hu,Qin Xu,Xin Liu,Yi Peng Qi 한국생활환경학회 2005 BMB Reports Vol.38 No.4

Genes Regulating the ABORTED MICROSPORES (AMS)-Mediated Male Sterility Networks in Melon (Cucumis melo L.)

Ling Wang,Dong-yang Dai,Xia Wu,Yun-yan Sheng,Peng Ji,Dan-dan Li,Fan Zhang,Di Wang 한국원예학회 2021 원예과학기술지 Vol.39 No.5

The male sterile plants have higher heterosis in the production of hybrid seeds. The ABORTED MICROSPORES (AMS) gene has been demonstrated to be a candidate gene for ms-5. However, the genetic mechanism underlying AMS-mediated male sterility (MS) regulatory networks in melon (Cucumis melo L.) is still not clearly understood. In the present study, we used transcriptome sequencing analysis, yeast hybridization technology, quantitative real-time polymerase chain reaction (qRT-PCR), and bioinformatics analyzed to systematically investigate the AMS-mediated MS regulatory networks in melon. A set of 15 proteins interacting with AMS, including the C. melo L. Zinc Ribbon protein 1 (CmZR1) gene, was identified using the yeast one-hybrid (Y1H) system and further confirmed using the yeast two-hybrid (Y2H) assay. The interaction of the CmZR1 protein with the C. melo L. Pectin Methylesterase Inhibitor 1 (CmPMEI1) protein was identified and further verified by the glutathione S-transferase (GST) pull-down technique. Bioinformatics analyzed the physical and chemical properties, gene structure, and kinship of the melon PMEI family. We proposed a partial regulatory network for melon MS in which the interaction of CmPMEI1 protein with CmZR1 protein regulates the expression of the AMS gene for pollen abortion. These findings provide important information for increasing the understanding of the molecular mechanism of the MS regulatory network in melon.

Experimental and theoretical studies of drug-polymer interactions to control the drug distributions in dissolving microneedles

Jing Ling Liu,Yun Hao Feng,Xiao Peng Zhang,Dan Dan Zhu,Li Qin Zhang,Xin Dong Guo 한국공업화학회 2020 Journal of Industrial and Engineering Chemistry Vol.84 No.-

Dissolving microneedles (DMNs) have attracted extensive attention for transdermal drug delivery inrecent years. Generally, the skin elasticity impedes DMNs to fully insert into skin thus optimizedfabrication methods are needed to improve delivery efficiency. Here, we investigated the formulations ofDMNs as the main influencing factors during the microneedle preparation process. Through the selectionof the matrix materials and the optimization of the ratio and formulae, the DMNs can meet therequirements of convenient and effective drug delivery. For DMNs prepared with polyvinyl alcohol (PVA)as matrix material, the 25 wt% concentration of PVA was beneficial to prepare MNs, which MNs was ableto focus drug on the part of MN tips. However, for DMNs fabricated with hyaluronic acid (HA), theincreasing material concentration had a weaker ability to concentrate drug in MNs and increasedthe difficulty of preparing MNs. The computer simulation analysis was consistent with the results of theexperiment, indicating the feasibility of modelling to investigate the preparation technology of DMNsthat offer appropriate, convenient and highly efficient drug delivery.

Technique for Intrusion Detection based on Minkowsky Distance Negative Selection Algorithm

Niu Ling,Feng Gao-feng,Peng Hai-yun 보안공학연구지원센터 2015 International Journal of Security and Its Applicat Vol.9 No.12

Traditional negative selection algorithms often result in a number of black holes, which directly leads to the missing alarm drawback in the intrusion detection system. In order to settle the above problem, a novel negative selection algorithm based on Minkowsky distance is proposed. Firstly, the proposed algorithm computes the Minkowsky distance between the detectors. Then, compute the serial same numbers between the detector and self-set strings, which is helpful to improve the coverage area of the detector. Finally, the new detectors after training and renewal are put into the mature detector set to decline the number of black holes. Experimental results demonstrate that, compared with the traditional negative selection algorithms, the number of black holes and the missing alarm rate decline a lot in the proposed algorithm.

A novel DNN tracking algorithm for structural system identification

Sheng-Yun Peng,Ling-Feng Yan,Bin He,Ying Zhou 국제구조공학회 2021 Smart Structures and Systems, An International Jou Vol.27 No.5

In the field of structural health monitoring (SHM), cameras record videos and tracking methods can be applied to calculate the structural displacement. Commercial and unmanned aerial vehicle (UAV) cameras are promising non-contact sensors owning to their high availability and easy installation. However, effective tracking methods need to be developed. In this study, we firstly propose an end-to-end vision measuring framework with a novel deep neural network (DNN) tracker, named Siamese Single Decoder Network (SiamSDN). The system requires no target installation and uses cellphone cameras. For SiamSDN, the position and scale of bounding box are formulated through statistical parameter estimation. Unlike generative trackers, SiamSDN does not require manually extracted features or pre-defined motion areas. The tracking object is solely identified in the first frame. A shaking table test of a five-storey structure is carried out to demonstrate the efficiency. Besides, a UAV is used to simulate the field test. To minimize the error caused by the vibrations of UAV, digital video stabilization (DVS) is proposed to eliminate the drifts. Videos taken by both the commercial and UAV cameras are analyzed to calculate the displacements. Comparing our DNN tracker with feature point matching approach, SiamSDN improves the displacement measuring accuracy by 66.16% and 57.54%, respectively, and the frequency characteristics are obtained precisely.

Study of Differentiation and Characteristics of Sieve Elements and P-Protein Body in Gymnosperm Ginkgo

Yu Ping Ling,Peng Chen,Li Li,Li Li Wang,Bin Pan,Yun Lin Tai 한국원예학회 2006 한국원예학회 기타간행물 Vol.- No.-

CD64 Expression Is Increased in Patients with Severe Acute Pancreatitis: Clinical Significance

( Hao Zhang ),( Xian Long Ling ),( Yu Yun Wu ),( Mu Han Lu ),( Hong Guo ),( Peng Bin Zhang ),( Xiao Yan Zhao ),( Shi Ming Yang ) 대한소화기학회 2014 Gut and Liver Vol.8 No.4

Background/Aims: Upregulated CD64 expression on neutrophils is the most useful marker for acute bacterial infections and systemic inflammation. However, it is unknown whether CD64 is involved in the pathogenesis of acute pancreatitis (AP). This study was designed to determine whether CD64 is implicated in severe acute pancreatitis (SAP), and thus, is a suitable marker for SAP. Methods: SAP was induced in rats with an intraperitoneal injection of L-arginine. CD64 expression in the rat pancreas was determined by quantitative real-time polymerase chain reaction (qRT-PCR) and immunohistochemistry. Additionally, the CD64 mRNA expression in peripheral blood leukocytes from 21 patients with mild acute pancreatitis (MAP) and 10 patients with SAP was investigated at the time of admission and during remission by qRT-PCR. Results: CD64 mRNA and protein expression in the pancreas was significantly higher in rats with SAP, compared to the controls. The CD64 expression was higher in the patients with SAP than in the patients with MAP. During remission, CD64 mRNA decreased in both the MAP and SAP patients. The area under the curve of CD64 expression for the detection of SAP was superior to both the Ranson and the Acute Physiology and Chronic Health Evaluation II scores. Conclusions: The CD64 level was significantly increased in correlation with the disease severity in SAP and may act as a useful marker for predicting the development of SAP. (Gut Liver 2014;8:445-451)

Study on the Seismic Performance of Bent Columns in Vertical Bent Frame Structures

Xiao-Long Gao,Ling-Yun Peng 대한토목학회 2019 KSCE JOURNAL OF CIVIL ENGINEERING Vol.23 No.6

A novel reinforced concrete (RC) vertical bent frame structure system consisting of a RC frame structure and RC bent structure has been proposed for the development of large-scale thermal power plants. To better understand the seismic performance of RC bent columns in vertical bent frame structures, a 1/5-scale representative component selected from a common vertical bent frame structure was tested by quasi-static testing (QST). The failure mode hysteretic characteristics, ductility, energy dissipation capacities of RC bent columns were investigated. Based on the experimental results, finite element models for the bent frame columns and vertical bent frame structures were developed and the nonlinear dynamic analyses were carried out. The results of finite element analysis indicate that the axial pressure ratio has significant effects on the seismic behaviour of RC bent columns. The relationship of drift angle for bent frame column under frequent earthquake and infrequent earthquake are investigated. The limitation values of axial compression ratios and the inter-storey drift angle for RC bent columns in vertical bent frame structures are suggested.