Effects of Particle Shape on Shear Strength of Clay-gravel Mixture

Yanrong Li,Runqiu Huang,Lung S. Chan,Jun Chen 대한토목학회 2013 KSCE JOURNAL OF CIVIL ENGINEERING Vol.17 No.4

Soils containing gravel-sized particles attract much less attention from researchers than clay and sands, though they may be the most commonly encountered materials in geotechnical engineering practice, especially in mountainous area. Large direct shear tests are carried out in this study to investigate the shear behavior of such soil mixtures, with emphasis on influences of shape properties (symmetry and smoothness) of gravel particles. The tested samples are prepared by mixing kaolin and gravel-sized particles (2.0 mm < d < 15 mm) of different shapes at various volumetric proportions (40, 70 and 100%). Three types of gravel are used, i.e., glass beads, river cobbles and crushed granite fragments. The applied normal stresses is 150 kPa and the shearing rate is 0.006 mm/min. Results are presented in terms of shear dilatancy, and peak and constant volume friction angle. Based on the analysis of the test results, it is found: (1) increasing gravel content increases both peak and constant volume friction angle; (2) both particle symmetry (quantified by elongation) and surface smoothness (quantified by convexity) play an important role in peak and constant volume friction, though they work in different ways; (3) increasing convexity decreases constant volume friction angle, while increases peak friction angle; and (4) increasing elongation increases constant volume friction angle, but decreases peak friction angle.

Research and Application of Supply Chain Distribution Optimization Model based on Improved Genetic Algorithm

Yanrong Wang,Annan Chen 보안공학연구지원센터 2016 International Journal of u- and e- Service, Scienc Vol.9 No.11

Optimal solution and simulation has been made for model through improved genetic algorithm based on the established mathematical model. Distribution route optimization problem can be solved by algorithm in a better way based on the features of distribution optimization problem of complicated path and through improved genetic algorithm and adding population pretreatment operator; finally, simulation experiment has been made through MATLAB simulation software.

A Performance Extension Measurement Analysis Model of Enterprise Green Technology Innovation based on Extension Theory

Yanrong Wang,Annan Chen 보안공학연구지원센터 2015 International Journal of Hybrid Information Techno Vol.8 No.11

Green technology innovation is the critical path for enterprises to achieve sustainable development. However, corporate green technology innovation in most cases is affected and constrained by multiple factors. It is featured by multi-factor, multi-target, multi-layer and fuzzy uncertainty, etc. Thus it is of great importance to measure and analyze the performance of corporate green technology innovation. To this end, this paper aims to study the performance measurement of corporate green technology innovation and proposes a performance analysis model based on extension theories for corporate green technology innovation. First, the model analyzed relevant factors that influence performance measurement analysis of corporate green technology innovation. Then, based on the analysis, it established the performance measurement analysis index system of corporate green technology innovation. Meanwhile, the model tried to normalize the different types of measurement analysis indexes after which corresponding classical fields and controlled fields were obtained. It then calculated the extension distances and the extension dependencies between different measurement analysis indexes as well as the classical fields and the controlled fields. The size of the extension dependency revealed the ability levels of corporate green technology innovation. Lastly, the model was tested by specific cases.

Constitutive Behavior of Binary Mixtures of Kaolin and Glass Beads in Direct Shear

Yanrong Li,Adnan Aydin,Qiang Xu,Jun Chen 대한토목학회 2012 KSCE Journal of Civil Engineering Vol.16 No.7

Composite soils having a wide range of particle size may be the most commonly encountered materials in geotechnical engineering practice. This study involves 21 direct shear tests to investigate the constitutive behavior of composite soils within the normal stress range from 50 to 200 kPa. The samples are mixtures of fine (kaolin) and coarse (glass beads) fractions at various proportions. The properties of the samples considered in the investigation are particle size distribution, water content of sheared specimens, structural features of shear surface and residual shear strength. It is shown that the particle size distribution influences the void ratio produced with the same compaction effort. Increasing fine fraction from zero to a threshold value (approximately 20-30%)causes a decrease in void ratio of the mixture. Beyond this threshold, a further increase of fine fraction causes an increase in void ratio. High proportion of fine fraction causes: (1) lower water content of shear zones relative to outer zones, (2) densification process within shear zone, (3) well slickensided shear surfaces, and (4) shearing in sliding mode and hence low residual shear strength.

FORMATION OF REVERSED MICELLE NANORING BY A DESIGNED SURFACTANT-LIKE PEPTIDE

FENG QIU,YONGZHU CHEN,CHENGKANG TANG,YANRONG LU,XIAOJUN ZHAO,JINGQIU CHENG 성균관대학교(자연과학캠퍼스) 성균나노과학기술원 2012 NANO Vol.7 No.4

Designing self-assembling peptides as nanomaterials has been an attractive strategy in recent years, however, these peptides were usually studied in aqueous solutions for their self-assembling behaviors and applications. In this study, we have designed a surfactant-like peptide AGD with a wedge-like shape and studied its self-assembling behaviors in aqueous solution or nonpolar system. By analyzing the intermolecular hydrogen bond using FT-IR and characterizing the nanostructures with DLS, AFM and TEM, it was con¯rmed that AGD could not undergo selfassembly in aqueous solution while could self-assemble into well-ordered nanorings in nonpolar system. A molecular model has been proposed to explain how the nanorings were formed in the manner of reversed micelle. These results suggested a novel strategy to fabricate self-assembling peptide nanomaterials in nonpolar system, which could have potential applications in many ¯elds.

Supported metal sulfates on Ce–TiOx as catalysts for NH3–SCR of NO: High resistances to SO2 and potassium

Xuesen Du,Xiangmin Wang,Yanrong Chen,Xiang Gao,Li Zhang 한국공업화학회 2016 Journal of Industrial and Engineering Chemistry Vol.36 No.-

Cu and Fe sulfates were loaded on a Ce–Ti mixed oxide and tested for the reduction of NO with NH3. Theloading of metal sulfate greatly enhances the resistance to SO2 of the Ce–Ti oxide. The prepared catalystsalso show better performances after doping with K2O if compared to the V–W–TiOx catalyst. Surfacecharacterizations reveal that better resistance to potassium oxide can be attributed to better acidity andreducibility. The catalyst with iron sulfate supported on Ce–TiOx was found to be a promising catalyst forNO removal in the flue gas with high alkali metal content.

Mechanical Performance of 3D-Printing Plastic Honeycomb Sandwich Structure

Chun Lu,Mingxue Qi,Shafiul Islam,Ping Chen,Shuangsheng Gao,Yanrong Xu,Xiangdong Yang 한국정밀공학회 2018 International Journal of Precision Engineering and Vol.5 No.1

In this study, Bi-Grid, Tri-Grid, Quadri-Grid and Kagome-Grid honeycombs were designed and fabricated using 3D printing technology Sandwich composites were prepared by gluing the cores and composite face sheets together. Mechanical performance of the sandwich structures were characterized using finite element analysis and three-point bending test. Results indicate that when suffering from bending loads, the stress concentrations are located at the loading zone on upper face sheets (distributed in both sides of the indenter) and supporting zone on bottom face sheets, and the stress concentration zones of the honeycomb cores are located in the area that between indenter and supports. The failure mechanism of the Bi-Grid sandwich structure is interfacial de-bonding between composite face sheet and Bi-Grid core, and the failure modes of the Tri-Grid, Quadri-Grid and Kagome-Grid are core shear. The mechanical performance of Quadri-Grid sandwich structure is better than that of the other three structures.

AEG-1 aggravates inflammation via promoting NALP3 inflammasome formation in murine endometriosis lesions

Juan Zhao,Wei Ma,Weizhi Chen,Jie Gao,Chunling Li,Yahong Tong,Qin Zhou,Xiuling Zhao,Menghua Wang,Huan Xiao,Yanrong Jin 한국통합생물학회 2019 Animal cells and systems Vol.23 No.6

Endometriosis (EMs) is one of the most common gynaecological diseases in women of childbearing age. Astrocyte elevated gene-1 (AEG-1) is associated with the invasion, migration, apoptosis and prognosis of various cancers. However, the roles of AEG-1 in EMs and its corresponding molecular mechanism are still unknown. In this study, animal models of EMs were established and mice were divided into two groups (n = 10): Sham group and EMs group. The EMs cells were isolated from EMs model. The AEG-1 gene was knocked down by shRNA, while the SOCS1 gene was knocked down by siRNA. Histological changes, AEG-1 expression in tissues and inflammatory factors level were detected by H&E staining, immunohistochemistry and ELISA, respectively. RTqPCR and western blotting were used to determine the expression level of related proteins. The present study found AEG-1 was up-regulated in the EMs model. Enhanced AEG-1 promoted inflammatory cell infiltration, and elevated the levels of IL-1β, IL-6, and TNF-α in EM group (p < 0.05). Besides, AEG-1 overexpression promoted the expression of NALP3, ASC and Cleavedcaspase- 1, while decreased SOCS1 level (p < 0.05). Decrease of SOCS1 further promoted the formation of NALP3 inflammasome. The inhibitory effect of AEG-1 on SOCS1 was weakened after the addition of MG-132 (p < 0.01). Furthermore, silencing AEG-1 alone increased SOCS1 level, decreased the levels of inflammatory cytokines, thereby inhibited the formation of NALP3 inflammasome. All these results demonstrated that AEG-1 aggravated inflammation via promoting NALP3 inflammasome formation in murine endometriosis lesions.