Research on Whole‑Process Tensile Behavior of Headed Studs in Steel–Concrete Composite Structures

Liang?Dong Zhuang,Hong?Bing Chen,Yuan Ma,Ran Ding 한국콘크리트학회 2021 International Journal of Concrete Structures and M Vol.15 No.4

The headed studs have been widely applied in steel–concrete composite structures as shear connectors. However, the tensile performance of headed studs is also key to the structural performance in many cases such as the semi-rigid composite joints including steel beam–concrete wall joint and steel column–base joint. Therefore, this study presents experimental and analytical study on the whole-process tensile behavior of headed studs. Tests on a total of 33 pullout specimens are first conducted. The tensile capacity and load–deformation behavior of the anchorage concrete, which dominates the structural performance of headed studs, are thoroughly analyzed. In addition, test data in the literature are collected for quantitatively evaluating the influence of embedment depth, bearing area, boundary conditions, and concrete strength on the tensile behavior of the anchorage concrete. On the basis of the influence evaluation, an analytical model represented by a piecewise function is proposed to describe the whole-process load–deformation behavior of the anchorage concrete and validated through the comparison between the predicted curves and all collected experimental results. Then the proposed model is applied to simulate the rotational behavior of the typical semi-rigid joint anchored by headed studs, which takes the contribution of the anchorage concrete into consideration, and is verified by experimental results. The research findings indicate that tensile behavior of anchorage concrete is crucial to the structural performance of semi-rigid joints, even for headed studs with large embedment depth and bearing area.

단백체를 이용한 애기장대 Cytokinin 유도 단백질의 분석

양영실,차준영,네티 엘마와티,정민희,배동원,이창원,손대영 Plant molecular biology and biotechnology research 2005 Plant molecular biology and biotechnology research Vol.2005 No.

Cytokinins are essential plant hormones that play crucial roles in various aspects of plant growth and development. To better understand the molecular mechanisms of cytokinin action, we identified cytokinin related proteins by a proteomic approach. Proteins extracted from control and trans-zeatin treated Arabidopsis seedlings were separated and analyzed by two dimensional gel analysis. Differentially expressed protein spots were identified with peptide mass fingerprinting based on matrix assisted laser desorption/ionization time-of-flight (MALDI-TOF) mass spectrometry and database searching. We obtained ten up-regulated and one down-regulated proteins upon t-zeatin treatment. The expression of the following proteins was induced; pollen allergen like protein, L-ascorbate peroxidase, tetrapyrrole methylase family protein, SGT1 protein homolog, disease resistance related protein, maternal embryogenesis control protein, paxneb related protein, gluthathione S-transferase and IAA amino acid hydrolase homolog.

퉁퉁마디로부터 색소체 외막 단백질 유전자의 분리 및 발현분석

네티 엘마와티,차준영,양영실,정민희,신동진,이병현,이곤호,손대영 Plant molecular biology and biotechnology research 2004 Plant molecular biology and biotechnology research Vol.2004 No.-

Complementary DNA encoding chloroplast outer envelope membrane protein (OEP) from the halophyte Salicornia herbacea has been cloned and sequenced. The full length cDNA is 596 bp and encodes a polypeptide of 91 amino acid residues with a molecular mass of 8.9 kDa. The expression level of ShOEP increased by salt, drought and ABA treatments. ShOEP expression was largely induced in roots and shoots by high salts. The biological function of ShOEP was examined by yeast complementation. ShOEP can suppress Na+ sensitivity of yeast mutant (cnbΔ) in the presence of salt. These results suggest that ShOEP is a salt inducible gene and may have functions in the regulation of plant salt stress.

The Effects of Health Qigong Training of Elderly Single Women on Pain Consciousness and Depression

( Liang Dong ),( Jae Bum Lee ),( Yong Kuk Kim ),( Young Sook Kim ) 한국스포츠정책과학원(구 한국스포츠개발원) 2013 International Journal of Applied Sports Sciences Vol.25 No.2

The purpose of this study was to identify the effects of Qigong training of elderly single women on their pain consciousness and depression. To achieve the goal of this study, 102 female elder`s were randomly placed into three groups of Health Qigong such as YiJinJing training group, LiuZiJue training group and control group with no training. They were trained for 12 weeks and the changes in their pain consciousness and depression were observed. After identifying the difference among three groups, the following conclusions were made. First, pain consciousness and depression were significantly improved in YiJinJing training group and LiuZiJue training group in pre and post assessments, while there was no difference in the control group. Second, in one-way ANOVA analysis of three groups on pain consciousness, there was significant difference between control group and YiJinJing training group, between control group and LiuZiJue training group, and between YiJinJing training group and LiuZiJue training group. Third, in ANOVA analysis of three groups on depression, there was significant difference between control group and YiJinJing training group, and between control group and LiuZiJue training group. The results show that YiJinJing training and LiuZiJue training of Health Qigong made effects on pain consciousness and depression of elderly single women, in particular YiJinJing training was more effective than LiuZiJue on pain consciousness.

Adaptive Synchronization of Leader-Follower Networked Systems against Communication Attenuation and Actuators Faults

Liang Dong,Jian-Hui Wang,Shu-Sheng Gu,Yuan-Bo Shi,Fang-Mei Zhao 제어·로봇·시스템학회 2016 International Journal of Control, Automation, and Vol.14 No.6

This paper addresses the adaptive asymptotic synchronization problem of a class of leader-follower largescale networked systems against communicated signal attenuation and actuator bias faults. Adaptive mechanismsare constructed to estimate each unknown faulty factor of communications and actuators on-line. Based on theestimations, an adaptive compensation controller is designed to automatically remove the unexpected impacts ofcommunication and actuator faults. Through the adaptive adjustment parameters and Lyapunov functions, theachievement of asymptotic synchronization of the leader-follower large-scale networked system with the improperactuator and faulty transmitted signals is obtained. Finally, the synchronization results are validated by a multiplevehicle large-scale device.

Theoretical and Experimental Investigations on Parallel- Axis Gear Transmission with Tubular Meshing Surfaces

Dong Liang,Bingkui Chen,Yane Gao 한국정밀공학회 2015 International Journal of Precision Engineering and Vol. No.

Theoretical and experimental investigations on parallel-axis gears with tubular meshing surfaces are performed in this study. Based on theory of conjugate curves, the parametric design for tubular tooth profiles is provided and solid models are established for motion simulation. Tubular meshing surfaces are evaluated according to geometric and meshing characteristics including undercutting condition, interference with engagement and curvature, calculation of sliding ratios, and successive meshing property. The meshing essence of tubular tooth surfaces is determined. The mechanics properties of tooth surfaces are analyzed using the finite element method. The contact stress, meshing law and deformation analysis of tooth surfaces are presented. The transmission efficiency experiment is based on the developed gear prototype, and a comparison of the prototype with an involute gear drive is provided. Further research on the dynamics analysis and key manufacturing technology will be conducted, and this gear drive is expected to exhibit excellent transmission performance.

Research on diagnosis method of centrifugal pump rotor faults based on IPSO-VMD and RVM

Dong Liang,Chen Zeyu,Hua Runan,Hu Siyuan,Fan Chuanhan,Xiao xingxin 한국원자력학회 2023 Nuclear Engineering and Technology Vol.55 No.3

Centrifugal pump is a key part of nuclear power plant systems, and its health status is critical to the safety and reliability of nuclear power plants. Therefore, fault diagnosis is required for centrifugal pump. Traditional fault diagnosis methods have difficulty extracting fault features from nonlinear and nonstationary signals, resulting in low diagnostic accuracy. In this paper, a new fault diagnosis method is proposed based on the improved particle swarm optimization (IPSO) algorithm-based variational modal decomposition (VMD) and relevance vector machine (RVM). Firstly, a simulation test bench for rotor faults is built, in which vibration displacement signals of the rotor are also collected by eddy current sensors. Then, the improved particle swarm algorithm is used to optimize the VMD to achieve adaptive decomposition of vibration displacement signals. Meanwhile, a screening criterion based on the minimum Kullback-Leibler (K-L) divergence value is established to extract the primary intrinsic modal function (IMF) component. Eventually, the factors are obtained from the primary IMF component to form a fault feature vector, and fault patterns are recognized using the RVM model. The results show that the extraction of the fault information and fault diagnosis classification have been improved, and the average accuracy could reach 97.87%.

Characterization of proteinase A excretion from Saccharomyces cerevisiae in high sugar stress conditions

Dong, Liang,Li, Feng,Piao, Yongzhe,Sun, Dong,Zhao, Rui,Li, Cheng,Cong, Lina,Zhao, Changxin The Korean Society for Applied Biological Chemistr 2015 Applied Biological Chemistry (Appl Biol Chem) Vol.58 No.2

High sugar concentration culturing was commonly used in modern fermentation industry. However, it leads to the reduction of the foam stability in beer brewing due to the excess secretion of proteinase A. To better understand the characterization of proteinase A excretion from Saccharomyces cerevisiae in high sugar stress conditions, the cultures were grown by using YNB medium with a high concentration of glucose. Pro-PrA isolated from the medium was purified by gel exclusion chromatography, and the PrA activity was detected using fluorescent substrate analysis. The relative molecular weight of the purified PrA and pro-PrA was estimated at 42 and 54 kDa, respectively, by SDS-PAGE. It indicated that the metabolic behavior of PrA in the high glucose culturing was quite different from the normal conditions, and glucose concentration may have a big influence on its secreted process. Further study showed that PrA was released at the logarithmic growth phase of the culturing, and the amount of PrA was 11 times higher compared with the normal culturing. PrA was considered to be activated by itself under acidic conditions. And it was also confirmed in this work that the step-wise pathway for the autoactivation known as a pseudo-PrA has a major contribution to the autoactivation process of PrA zymogen outside the cell.

Research on Concrete Cracks Recognition based on Dual Convolutional Neural Network

Dong Liang,Xue-Feng Zhou,Song Wang,Chen-Jing Liu 대한토목학회 2019 KSCE JOURNAL OF CIVIL ENGINEERING Vol.23 No.7

Cracks are the most common and important diseases of concrete bridges. A dual convolutional neural network (DCN) model which is composed of one convolutional neural network (CNN) model and one fully convolutional network (FCN) model is proposed to recognize the cracks in image. Firstly, the CNN model is used to identify the crack area. The interfering factors such as spot, shadow, water stain, and graffiti in the non-crack area will be excluded by CNN model. Then, the CNN results will be segmented by the FCN model with the structure of merging layer-by-layer to extract crack features such as length and width. The DCN model is trained to recognize the actual concrete bridge cracks in this paper. The recognition results show that the DCN model has a good balance between high accuracy and low noise in the process of crack recognition compared with the current image recognition method. The reliability and accuracy of recognition are both greatly improved. The DCN model is helpful for automatic identification of cracks in concrete bridges.

Mathematical model and meshing analysis of internal meshing gear transmission with curve element

Dong Liang,Weibin Li,Bingkui Chen 대한기계학회 2020 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.34 No.12

A new internal meshing gear transmission with curve element is put forward in this paper. The mathematical principle of tooth profile generation is described based on conjugate curves theory. For a given spatial curve, the meshing equation and its conjugated spatial curve under the motion law were derived. Considering the equidistant kinematic method, general internal tooth profiles models were established by the conjugate-curve pair. Numerical example of the internal gear pair was developed according to gear parameters and gear solid models were established by MATLAB and UG software. Motion simulation result shows that the gear pair satisfies point contact condition and design requirements. Meshing analysis of tooth profiles using FEA method was carried out. Stress analysis results of tooth profiles with single point contact and two points contact were, respectively, obtained. The conclusions lay the foundation for multi-point contact generation and tooth profile design. Also, further studies on transmission characteristics and manufacturing technology of the new gear drive will be carried out.