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Investigation of the SHM-oriented model and dynamic characteristics of a super-tall building
Hai-Bei Xiong,Ji-Xing Cao,Feng-Liang Zhang,Xiang Ou,Chen-Jie Chen 국제구조공학회 2019 Smart Structures and Systems, An International Jou Vol.23 No.3
Shanghai Tower is a 632-meter super high-rise building located in an area with wind and active earthquake. A sophisticated structural health monitoring (SHM) system consisting of more than 400 sensors has been built to carry out a long-term monitoring for its operational safety. In this paper, a reduced-order model including 31 elements was generated from a full model of this super tall building. An iterative regularized matrix method was proposed to tune the system parameters, making the dynamic characteristic of the reduced-order model be consistent with those in the full model. The updating reduced-order model can be regarded as a benchmark model for further analysis. A long-term monitoring for structural dynamic characteristics of Shanghai Tower under different construction stages was also investigated. The identified results, including natural frequency and damping ratio, were discussed. Based on the data collected from the SHM system, the dynamic characteristics of the whole structure was investigated. Compared with the result of the finite element model, a good agreement can be observed. The result provides a valuable reference for examining the evolution of future dynamic characteristics of this super tall building.
Inclinometer-based method to monitor displacement of high-rise buildings
Xiong, Hai-Bei,Cao, Ji-Xing,Zhang, Feng-Liang Techno-Press 2018 Structural monitoring and maintenance Vol.5 No.1
Horizontal displacement of high-rise building is an essential index for assessing the structural performance and safety. In this paper, a novel inclinometer-based method is proposed to address this issue and an algorithm based on three spline interpolation principle is presented to estimate the horizontal displacement of high-rise buildings. In this method, the whole structure is divided into different elements by different measured points. The story drift angle curve of each element is modeled as a three spline curve. The horizontal displacement can be estimated after integration of the story drift angle curve. A numerical example is designed to verify the proposed method and the result shows this method can effectively estimate the horizontal displacement with high accuracy. After that, this method is applied to a practical slender structure - Shanghai Tower. Nature frequencies identification and deformation monitoring are conducted from the signal of inclinometers. It is concluded that inclinometer-based technology can not only be used for spectrum analysis and modal identification, but also for monitoring deformation of the whole structure. This inclinometer-based technology provides a novel method for future structural health monitoring.
Bei Jiang,Ling Guo,Bao-Ying Li,Jun-Hui Zhen,Jian Song,Tao Peng,Xiang-Dong Yang,Zhao Hu,Hai-Qing Gao 한국식품영양과학회 2013 Journal of medicinal food Vol.16 No.6
Diabetic nephropathy (DN) is the major cause of end-stage renal disease. Resveratrol has been shown to ameliorate hyperglycemia in diabetic rats. However, the effects of resveratrol on DN remain unknown. The aim of the present study is to investigate the effects of resveratrol on early-stage DN. Diabetes was induced by streptozotocin injection in male Wistar rats. The diabetic rats were treated with resveratrol at a dose of 20 mg/kg body weight for 8 weeks. Plasma glucose, creatinine, kidney/body weight ratio, and 24-h urinary protein were determined. The renal pathological changes were examined with periodic acid Schiff staining, and renal mesangial cells were cultured in high glucose concentrations with indicated concentrations of resveratrol (2.5, 5.0, and 10.0 lmol/L). The proliferation of mesangial cells was evaluated by methylthiazoletetrazolium assay. Expressions of glutathione S-transferases Mu (GSTM) and nuclear factor erythroid 2-related factor 2 (Nrf2) were detected by western blot, and apoptosis was analyzed using a flow cytometer. Resveratrol reduced plasma glucose, creatinine, and urinary protein excretion, and attenuated renal hypertrophy. Moreover, resveratrol also reduced the expression of GSTM in diabetic rats. In vitro, resveratrol inhibited the proliferation of mesangial cells caused by high glucose and down-regulated GSTM and Nrf2 expressions in a dose-dependent manner. These findings suggest that resveratrol help prevent the progression of DN. The renoprotection by resveratrol is in part mediated through the inhibition of high glucoseinduced rat mesangial cell proliferation and downregulation of GSTM expression.
Liu, Bei Hui,Dao Hai Zhang,Lee, Yuan Kun 한국미생물 · 생명공학회 2000 Journal of microbiology and biotechnology Vol.10 No.2
The freshwater green alga Chlorococcum sp. grew on NH_4^+, NO_3^-, urea, yeast extract, and peptone as the nitrogen source showing similar patterns of growth and secondary carotenoid (SC) production. However, the most suitable nitrogen source for the induction of SC was urea. The effects of nutrient levels (urea, phosphate, sulfate, ferrous iron, and salt) on growth and SC production were studied by varying the concentration of each nutrient in batch cultures. High biomass production was achieved in cultures containing 20- 28mM urea, 4.8-10mM phosphate, 1.6mM sulfate, 70mM NaCl, and 20-100μM iron. The highest SC content in biomass was obtained when cultured at 5-10mM urea, 12mM phosphate, 1.6mM sulfate, 170mM NaCl, and 50μM iron. The optimum concentrations of nutrients for biomass and for the SC accumulation in biomass were evaluated and the two media for achieving high biomass production and SC production were thus developed. The extent to which each parameter to stimulate the formation of SC in the alga were varied and the potentially improved SC production by manipulating the nutrient levels in the modified media were discussed.
Youbing Peng,Hai Cheng,Caiming Shen,Ying Xu,Naifang Bei 한국기상학회 2018 Asia-Pacific Journal of Atmospheric Sciences Vol.54 No.3
Widely distributed proxy records show that there were out-of-phase behaviors of moisture change between arid central Asia (ACA) and monsoonal northern China during the Little Ice Age (LIA) and Medieval Climate Anomaly (MCA). We examined spatial pattern differences between the MCA and LIA to identify contrasting patterns of summer precipitation variability, and to diagnose explanatory mechanisms through the analysis of a 1000-year global climate model simulation driven by natural and anthropogenic forcing. The results show that the model was able to roughly produce the general features of MCA-LIA hydroclimatic spatial differences between monsoonal northern China and ACA, with a relatively wet MCA found in monsoonal northern China and a relatively dry MCA found in ACA. A further analysis of associated circulations shows that increased summer precipitation in monsoonal northern China was caused by the strengthening of summer monsoon, while the decline in summer precipitation in ACAwas caused by an anomalous northward displacement of the subtropical westerly jet stream. Our analyses suggest that both effective solar forcing and El-Niño Southern Oscillation (ENSO) may produce these contrasting patterns of precipitation between monsoonal northern China and ACA. Due to a change in the probability of ENSO phases at the centennial time scale found in our experiments may be attributed to solar irradiances, higher effective solar irradiances during the MCA relative to those of the LIA may have been the ultimate forcing mechanism for the simulated precipitation differences between the MCA and LIA.
Li-Ming Sun,Bei-Wei Zhu,Hai-tao Wu,Lei Yu,Da-Yong Zhou,Xiuping Dong,Jing-Feng Yang,Dong-Mei Li,Wen-Xiu Ye,Yoshiyuki Murata 한국식품과학회 2011 Food Science and Biotechnology Vol.20 No.4
Cathepsin B from the gut of sea cucumber (Stichopus japonicas) was purified 81-fold with a 3%recovery by ammonium sulfate fractionation and a series chromatography on DEAE Sepharose CL-6B, Sephadex G-75, and TSK-Gel 3000 SWxl. The purified protein appeared as a single band on Native-PAGE but showed 2bands of 23 and 26 kDa on SDS-PAGE. The optimum activity was found at pH 5.5 and 45°C. The enzyme was stable at pH 4.5-6.0 and the thermal stability was up to 50oC. The enzyme was strongly inhibited by E-64, iodoacetic acid, and antipain, demonstrating it is a cysteine protease containing sulfhydryl groups. Cu^2+, Ni^2+, and Zn^2+ could strongly inhibit the enzyme activity. The amino acid sequences of the purified enzyme were acquired by mass spectrometer, which did not show any homology with previously described cathepsins, suggesting it may be a novel member.
Xiang-li Long,Bei-bei Duan,Hai-xia Cao,Ming-lei Jia,Long-an Wu 한국공업화학회 2018 Journal of Industrial and Engineering Chemistry Vol.62 No.-
The simultaneous scrubbing of NO and SO2 can be finished with the Co(NH3)62+ ammonia solution. Activated carbon aids the regeneration of Co(NH3)62+ to retain the ability of absorbing NO. Acetic acid is tried to improve the catalytic capability of activated carbon. The best treatment condition is the carbon samples impregnated in 2.0 mol l−1 HAc solution for 20 h followed by being calcined at 600 °C for 4 h. The HAc modification increases surface area and acidic groups on the carbon surface. The experiments prove that the modified carbon can obtain a higher NO removal efficiency than the original carbon.
Monitoring moisture content of timber structures using PZT-enabled sensing and machine learning
Qingzhao Kong,Lin Chen,Hai-Bei Xiong,Yufeng He,Xiuquan Li 국제구조공학회 2022 Smart Structures and Systems, An International Jou Vol.29 No.4
Timber structures are susceptible to structural damages caused by variations in moisture content (MC), inducing severe durability deterioration and safety issues. Therefore, it is of great significance to detect MC levels in timber structures. Compared to current methods for timber MC detection, which are time-consuming and require bulky equipment deployment, Lead Zirconate Titanate (PZT)-enabled stress wave sensing combined with statistic machine learning classification proposed in this paper show the advantage of the portable device and ease of operation. First, stress wave signals from different MC cases are excited and received by PZT sensors through active sensing. Subsequently, two non-baseline features are extracted from these stress wave signals. Finally, these features are fed to a statistic machine learning classifier (i.e., naive Bayesian classification) to achieve MC detection of timber structures. Numerical simulations validate the feasibility of PZT-enabled sensing to perceive MC variations. Tests referring to five MC cases are conducted to verify the effectiveness of the proposed method. Results present high accuracy for timber MC detection, showing a great potential to conduct rapid and long-term monitoring of the MC level of timber structures in future field applications.
Effect of Matrix Metalloproteinase on Autolysis of Sea Cucumber Stichopus japonicus
Li-Ming Sun,Ting-Ting Wang,Bei-Wei Zhu,Hai-Ling Niu,Rui Zhang,Hong-Man Hou,Gong-Liang Zhang,Yoshiyuki Murata 한국식품과학회 2013 Food Science and Biotechnology Vol.22 No.5
To investigate the relationship between matrix metalloproteinase (MMPs) and autolysis of sea cucumber Stichopus japonicus, the dermis homogenate was incubated at 25oC to induce autolysis. EDTA Na2 and 1,10-phenanthroline were used to verify the effect of MMPs on autolysis, which was measured by soluble protein and protein pattern. Soluble protein level increased during a 6-h autolysis process. SDS-PAGE demonstrated obvious protein degradation with the concomitant occurrence of degradation products. The above two indicators could be inhibited significantly by EDTA Na2 and 1,10-phenanthroline, indicating that MMPs might play a significant role in autolysis of sea cucumber.