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Stochastic analysis for uncertain deformation of foundations in permafrost regions
Wang, Tao,Zhou, Guoqing,Wang, Jianzhou,Zhao, Xiaodong,Yin, Leijian Techno-Press 2018 Geomechanics & engineering Vol.14 No.6
For foundations in permafrost regions, the displacement characteristics are uncertain because of the randomness of temperature characteristics and mechanical parameters, which make the structural system have an unexpected deviation and unpredictability. It will affect the safety of design and construction. In this paper, we consider the randomness of temperature characteristics and mechanical parameters. A stochastic analysis model for the uncertain displacement characteristic of foundations is presented, and the stochastic coupling program is compiled by Matrix Laboratory (MATLAB) software. The stochastic displacement fields of an embankment in a permafrost region are obtained and analyzed by Neumann stochastic finite element method (NSFEM). The results provide a new way to predict the deformation characteristics of foundations in permafrost regions, and it shows that the stochastic temperature has a different influence on the stochastic lateral displacement and vertical displacement. Construction disturbance and climate warming lead to three different stages for the mean settlement of characteristic points. For the stochastic settlement characteristic, the standard deviation increases with time, which imply that the results of conventional deterministic analysis may be far from the true value. These results can improve our understanding of the stochastic deformation fields of embankments and provide a theoretical basis for engineering reliability analysis and design in permafrost regions.
Yufan Wang,Guoqing Zu,Di Zhang,Di Zhang,Weiwei Zhu,Huilan Sun,Bo Wang,Xu Ran 대한금속·재료학회 2022 METALS AND MATERIALS International Vol.28 No.11
In the present work, the effect of pre-annealing on the recrystallized texture of hot-rolled Fe-1.6 wt% Si non-oriented electricalsteel was investigated. Vickers hardness test, optical microscope, and electron backscatter diffraction were used to investigatethe changes in the average hardness, microstructure, and texture caused by pre-annealing of hot-rolled strips. It was found thatthe texture successively changed from a near-random distribution to {116} < 151 > texture and near-{001} < 140 > texturedepending on pre-annealing treatments. Also, there was almost no effect on the grain size, and the average grain size of thenormalized bands was 125 μm. Besides, the texture and magnetic properties of the final products under different pre-annealingtreatments were also detected. It was found that the sample obtain a strong Cube texture by pre-annealing. Meanwhile, themagnetic properties are also got an improvement by pre-annealing. In a word, this method may provide a possibility to obtainan ideal grain size and texture simultaneously.
Tao Wang,Guoqing Zhou,Jianzhou Wang,Xiaodong Zhao,Yuyi Liu 대한토목학회 2017 KSCE JOURNAL OF CIVIL ENGINEERING Vol.21 No.5
Taking the randomness of mechanical parameters and thermal regime into account, a stochastic analysis model is established for investigating the uncertain stresses characteristics of embankment in permafrost regions. The stochastic finite element formulae are obtained by Neumann Stochastic Finite Element Method (NSFEM), and a stochastic coupling program is compiled by Matrix Laboratory (MATLAB) software. Using our program, the stochastic stresses fields of an embankment in a permafrost region are obtained and analyzed. The results provide a new way to predict the stresses characteristics of the embankment in permafrost regions, and it shows that the stochastic temperature has a different influence on the mean stresses and standard deviation, and the larger value is at a different location. The standard deviations in stresses increase with time when considering the stochastic effect of temperature and parameters, which imply that the results of conventional deterministic analysis may be far from the true value. It can improve our understanding of the stochastic stresses fields of embankments and provide a theoretical basis for engineering reliability analysis and design in permafrost regions.
Purification and Identification of a Natural Antioxidant Protein from Fertilized Eggs
Shaohua Yang,Lulu Wang,Ying Wang,Xiaoqian Ou,Zhaoyuan Shi,Chongchong Lu,Wei Wang,Guoqing Liu 한국축산식품학회 2017 한국축산식품학회지 Vol.37 No.5
Fertilized hen eggs are rich in a variety of bioactive ingredients. In this study, we aimed to obtain an antioxidant protein from fertilized eggs and the radical scavenging abilities on 1, 1- diphenyl-2-picrylhydrazyl (DPPH), hydroxyl radical (•OH), superoxide anion (O2-•) were used to evaluate the antioxidant activity of the purified protein. During 20 d of incubation, the radical scavenging ability of protein extracted from fertilized eggs exhibited significantly differences and the protein on day 16 showed higher antioxidant capacity. Based on this, the antioxidant protein of the samples on day 16 were isolated for the follow-up study. With a molecular weight 43.22 kDa, the antioxidant protein was purified by Diethylaminoethyl cellulose -52 (DEAE-52) column and Sephadex G-100. The LC-MS analysis showed that the purified protein molecular weight was 43.22 kDa, named D2-S. The sequence of amino acids was highly similar to ovalbumin and the coverage reached to 84%. The purified protein showed a radical scavenging rate of 52.34±3.27% on DPPH and 63.49±0.25% on •OH, respectively. Furthermore, the C-terminal amino acid sequence was NAVLFFGRCVSP, which was consistent with the sequence of ovabumin. These results here indicated that purified protein may be a potential resource as a natural antioxidant.
Hao Jiang,Wenhuan Wang,Jiawei Li,Liyang Zhu,Dun Zhang,Peng Wang,Guoqing Wang 한국공업화학회 2022 Journal of Industrial and Engineering Chemistry Vol.109 No.-
Slippery liquid-infused porous surfaces (SLIPS) have attracted wide attention in the field of marine anticorrosion. However, the stability problem severely restricts the broad applications of SLIPS. Herein, wefabricated a polyurethane-based ultraslippery surface with lubricant self-replenishing and matrix selfhealingproperties owing to the huge amount of dynamic hydrogen-bond. Besides, the bacteria culturetest and electrochemical analysis results indicate the prepared surface possesses superior properties inthe protection of microbiologically influenced corrosion (MIC). This paper offers an efficient strategy tosolve stability problem of SLIPS, and the as-obtained self-healable ultraslippery surface can be used asa promising material in mitigating MIC.
Research and Validation of Pipe Acoustic Transmission Mechanism
Sun Fuchao,Pei Xiaohan,Zheng Lichen,Wang Guoqing,Jia Deli 보안공학연구지원센터 2014 International Journal of Multimedia and Ubiquitous Vol.9 No.11
During oil production an acoustic communication mode with downhole oil pipe as channel is one of feasible downhole control method. Based on a mechanism analysis, this paper presents a pipe acoustic transmission mechanism model. The model is derived to obtain a pipe dispersive equation. The simulation of phase velocity, group velocity and dispersion curves of three common oil pipes indicates that spectral distribution of longitudinal wave transmission in pipe presents a comb filter structure, and the passband/stopband distribution approximates periodicity and symmetry on spectrogram. The passband range, stopband range and amplitude value changes with length, cross area, density of oil pipe and joint. And the influence rule is given. Then the optimal frequency is suggested through simulation for downhole wireless communication tools design.
Guoqing Fan,Yi Guo,Fujie Tang,Min Chen,Shuang Liao,Juan Wang 대한신경과학회 2023 Journal of Clinical Neurology Vol.19 No.4
Background and Purpose Most of the knowledge of Mycoplasma pneumonia (M. pneumoniae) encephalitis (MPE) in children is based on case reports or small case series. This study aimed to describe the clinical features and prognostic factors of MPE, and the efficacy of azithromycin with or without immunomodulatory therapy. Methods The medical data of 87 patients with MPE from 3 medical centers in southwestern China over a 7-year period were reviewed. Results MPE was found in children of all ages except for neonates. The most common neurological manifestations included consciousness disturbance (90%) and headache (87.4%), the most common extraneurological manifestations included fever (96.5%) and respiratory system involvement (94.3%); multisystem involvement (98.2%) and elevated C-reactive protein (CRP) (90.8%) were also prominent. M. pneumoniae was detected in cerebrospinal fluid (CSF) less often than in blood and respiratory tract secretions. Azithromycin with intravenous immunoglobulin or/and corticosteroid treatment can shorten the hospitalization duration and the clinical improvement process. Most patients (82.8%) received a favorable prognosis; serum lactate dehydrogenase (LDH) and CSF protein levels were higher in the poor-outcome group than in the good-outcome group (p<0.05). Neurological sequelae are likely to continue when the onset of this condition occurs during teenage years. Conclusions MPE generally presented with nonspecific clinical manifestations. In children with acute encephalitis accompanied by multi-system involvement and prominently elevated CRP, M. pneumoniae should be considered as a possible pathogen. Immunomodulating therapies should be recommended regardless of the duration of the prodromal period. High CSF protein level, blood LDH elevation, and higher age may be associated with an unfavorable outcome.
Content-Based Image Retrieval Improved by Incorporating Semantic Annotation via Query Expansion
Guoqing Xu,Jian Li,Chunyu Xu,Qi Wang 보안공학연구지원센터 2015 International Journal of Signal Processing, Image Vol.8 No.12
Automatic image annotation (AIA) is expected to be a promising way to improve the performance of content-based image retrieval (CBIR). However, current image annotation results are always incomplete and noisy, and far from practical usage. In this paper, we incorporate semantic annotations into CBIR via query expansion scheme to improve retrieval accuracy. In the proposed method, semantic annotations of test images are obtained using a visual nearest-neighbor-based annotation model. And both visual features and annotation keywords are used to represent images. The similarity between two images is determined by their visual similarity and semantic similarity. The method is evaluated on the well-known Pascal VOC 2007 dataset using standard performance evaluation metric. The experimental results indicate that the performance of CBIR can be improved by incorporating semantic annotation via query expansion.