Experimental Study on the Property and Mechanism of the Bonding Between Rubberized Concrete and Normal Concrete

Ling-Yun Feng,Ai-Jiu Chen,Han Dong Liu 한국콘크리트학회 2022 International Journal of Concrete Structures and M Vol.16 No.4

Scholars have studied the impact of rubber particles (RPs) on the performance of the concrete and the research topics have covered all the mechanical properties and durability of normal concrete (NC). Recently, scholars have turned their research interest to the structural properties of concrete. However, there are few experimental studies on the bonding properties of RC to NC. The RPs have both positive and negative impacts on the bond performance. On one hand, RPs can reduce the shrinkage of concrete, resulting in reduced shear stress and tensile stress near the bonding boundary. On the other hand, RPs cause a reduction in the overall strength of concrete, resulting in the poor mechanical performance of the interface transition layer between the two concrete. The test results of this study show that the bonding splitting tensile strength between freshly mixed RC to aged NC first increases and then decreases with the rise of the RPs content in the RC, and the bonding splitting tensile strength reaches the peak when the RPs content is 10%. The bonding splitting tensile strength between the NC and the RC mixed with 3–5 mm RP is higher than that between the NC and the RC mixed with 1–3 mm RPs. When mixed with modified RPs, the bonding splitting tensile strength between the RC and the NC is improved. Applying an interfacial agent (a cement slurry or an epoxy) on the old concrete bonding surface can significantly improve the bonding splitting tensile strength. The results of non-repeated two-way ANOVA show that the content of the RPs and the type of the interfacial agent have significant effects on the bond splitting tensile strength, while the size and modification of the RPs have no significant effects on the bond splitting tensile strength.

Effect of Waste Tire Rubber Particles on Concrete Abrasion Resistance Under High-Speed Water Flow

Ling-Yun Feng,Ai-Jiu Chen,Han-Dong Liu 한국콘크리트학회 2021 International Journal of Concrete Structures and M Vol.15 No.5

Rubberized concrete is an environmentally friendly building material that mixes rubber particles from old automobile tires into normal concrete in place of fine aggregate. The addition of rubber particles can improve the abrasion resistance of normal concrete observably. It has a good application prospect in hydraulic engineering, especially in the concrete building parts with high abrasion resistance. However, there are few experimental studies on the abrasion resistance of rubberized concrete, and the influence law and mechanism of rubber particles on the abrasion resistance of concrete are not understood. In this paper, the abrasion resistance of rubberized concrete is studied using the underwater-steel-ball method. The results show that rubber particles increase the slump of concrete mixtures. The abrasion resistance of rubberized concrete increases significantly with increasing rubber particle content, whereas the compressive strength decreases linearly. For the same rubber particle size and content, the abrasion resistance of rubberized concrete positively correlates with compressive strength and larger rubber particles significantly improve the abrasion resistance. Rubber particle content is the factor that most strongly affects abrasion resistance of rubberized concrete, followed by the compressive strength. Rubber particle pretreatment methods of NaOH + KH570 can significantly improve the abrasion resistance of rubberized concrete.

[P8-158] Chronic Effects of Mineral-Rich Solar Salt and Its Roasted Salts on Oxidative Stress in Rats

Ling-Yun Feng,Tian-Cheng Gao,Saoraya Chanmuang,Mi-Ae Bang,Jeong-Yong Cho,Kyung-Sik Ham 한국식품영양과학회 2009 한국식품영양과학회 학술대회발표집 Vol.2009 No.11

Isolation and Characterization of Comprehensive Polychlorinated Biphenyl-Degrading Bacterium, Enterobacter sp. LY402

( Ling Yun Jia ),( Ai Ping Zheng ),( Xu Li ),( Xiao Dong Huang ),( Qing Zhang ),( Feng Lin Yang ) 한국미생물 · 생명공학회 2008 Journal of microbiology and biotechnology Vol.18 No.5

Characteristics of wind loading on internal surface and its effect on wind-induced responses of a super-large natural-draught cooling tower

Yun-feng Zou,Zheng-yi Fu,Xu-hui He,Hai-quan Jing,Ling-yao Li,Hua-wei Niu,Zheng-qing Chen 한국풍공학회 2019 Wind and Structures, An International Journal (WAS Vol.29 No.4

Wind loading is one of important loadings that should be considered in the design of large hyperbolic natural-draught cooling towers. Both external and internal surfaces of cooling tower are under the action of wind loading for cooling circulating water. In the previous studies, the wind loads on the external surface attracted concernedly attention, while the study on the internal surface was relatively ware. In the present study, the wind pressure on the internal surface of a 220 m high cooling tower is measured through wind tunnel testing, and the effect of ventilation rate of the packing layer on internal pressure is a major concern. The characteristics of internal wind pressure distribution and its effect on wind-induced responses calculated by finite element method are investigated. The results indicate that the wind loading on internal surface of the cooling tower behaves remarkable three-dimensional effect, and the pressure coefficient varies along both of height and circumferential directions. The non-uniformity is particularly strong during the construction stage. Analysis results of the effect of internal pressure on wind-induced responses show that the size and distribution characteristics of internal pressure will have some influence on wind-induced response, however, the outer pressure plays a dominant role in the wind-induced response of cooling tower, and the contribution of internal pressure to the response is small.

Causes, Features, and Outcomes of Drug-Induced Liver Injury in 69 Children from China

( Yun Zhu ),( Yong Gang Li ),( Jia Bo Wang ),( Shu Hong Liu ),( Li Fu Wang ),( Yan Ling Zhao ),( Yun Feng Bai ),( Zhong Xia Wang ),( Jian Yu Li ),( Xiao He Xiao ) 대한소화기학회 2015 Gut and Liver Vol.9 No.4

Background/Aims: Drug-induced liver injury (DILI) is a frequent cause of pediatric liver disease; however, the data on DILI are remarkably limited. Methods: All 69 children hospitalized with DILI between January 2009 and December 2011 were retrospectively studied. Results: A total of 37.7% of the children had medical histories of respiratory infection. The clinical injury patterns were as follows: hepatocellular 89.9%, cholestatic 2.9%, and mixed 7.2%. Liver biopsies from 55 children most frequently demonstrated chronic (47.3%) and acute (27.3%) hepatitis. Hypersensitivity features, namely, fever (31.9%), rash (21.7%), and eosinophilia (1.4%), were found. Twenty-four children (34.8%) developed chronic DILI. Antibiotics (26.1%) were the most common Western medicines (WMs) causing DILI, and the major implicated herbs were Ephedra sinica and Polygonum multiflorum. Compared with WM, the children whose injuries were caused by Chinese herbal medicine (CHM) showed a higher level of total bilirubin (1.4 mg/dL vs 16.6 mg/dL, p=0.004) and a longer prothrombin time (11.8 seconds vs 17.3 seconds, p=0.012), but they exhibited less chronic DILI (2/15 vs 18/39, p=0.031). Conclusions: Most cases of DILI in children are caused by antibiotics or CHM used to treat respiratory infection and present with hepatocellular injury. Compared with WM, CHM is more likely to cause severe liver injury, but liver injury caused by CHM is curable. (Gut Liver 2015;9:525-533)

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.

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.

Pan-cancer Analysis of Tumor Mutational Burden and Homologous Recombination DNA Damage Repair Using Targeted Next-Generation Sequencing

Hai-Yun Wang,Ling Deng,Ying-Qing Li,Xiao Zhang,Ya-Kang Long,Xu Zhang,Yan-Fen Feng,Yuan He,Tao Tang,Xin-Hua Yang,Fang Wang 대한암학회 2021 Cancer Research and Treatment Vol.53 No.4

Purpose Current variability in methods for tumor mutational burden (TMB) estimation and reporting demonstrates the urgent need for a homogeneous TMB assessment approach. Here, we compared TMB distributions in different cancer types using two customized targeted panels commonly used in clinical practice. Materials and Methods TMB spectra of 295- and 1021-gene panels in multiple cancer types were compared using targeted next-generation sequencing (NGS). The TMB distributions across a diverse cohort of 2,332 cancer cases were then investigated for their associations with clinical features. Treatment response data were collected for 222 patients who received immune-checkpoint inhibitors (ICIs) and their homologous recombination DNA damage repair (HR-DDR) and programmed death-ligand 1 (PD-L1) expression were additionally assessed and compared with the TMB and response rate. Results The median TMB between gene panels was similar despite a wide range in TMB values. The highest TMB was eight and 10 in patients with squamous cell carcinoma and esophageal carcinoma according to the classification of histopathology and cancer types, respectively. Twenty-three out of 103 patients (22.3%) were HR-DDR–positive and could benefit from ICI therapy; out of those 23 patients, seven patients had high TMB (p=0.004). Additionally, PD-L1 expression was not associated with TMB or treatment response among patients receiving ICIs. Conclusion Targeted NGS assays demonstrated the ability to evaluate TMB in pan-cancer samples as a tool to predict response to ICIs. In addition, TMB integrated with HR-DDR–positive status could be a significant biomarker for predicting ICI response in patients.

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.