Research on Characteristic Parameter of Ta-Zro2 Fiber Blackbody Cavity Temperature Sensor

Hao Xiao-jian,Sang Tao,Pan Bao-wu,Zhou Han-chang 보안공학연구지원센터 2016 International Journal of Signal Processing, Image Vol.9 No.2

By sputtering and plasma spraying technology, a sapphire optical fiber blackbody cavity temperature sensor of tantalum (melting point is 2997℃) - zirconium oxide (melting point is 2715℃) thin film was developed. Static calibration system for the sensor to measure target temperature 1721℃ is also designed by using three oxygen (produced by water electrolysis) flame guns. When its impact resistant capacity is more than 50MPa, the corresponding temperature is 2802℃. A high power and high frequency modulation CO2 laser pulse is used as exciting source to heat it to 1500℃, and the dynamic calibration device is designed independently, thus this sensor in experimental results show a time response on the order of μs. Signal collection and transmission through fiber optic cable are proposed, which can meet the need of transient high temperature measurement in harsh environment.

Bayesian FEM Updating of a Long-Span Suspension Bridge Utilizing Hybrid Monte Carlo Simulation and Kriging Predictor

Jian-Xiao Mao,Hao Wang,Jian Li 대한토목학회 2020 KSCE JOURNAL OF CIVIL ENGINEERING Vol.24 No.2

Bayesian model updating technique has been widely investigated and utilized in the field of finite element model (FEM) updating for its advantages in system uncertainty quantification. Most existing studies focus on numerical and experimental models. More studies on large-scale civil infrastructures based on field monitoring are still required. A case study on Bayesian FEM updating of the Runyang Suspension Bridge (RSB), a long-span suspension bridge with a main span of 1,490 m, is carried out in this paper. The Bayesian updating method is utilized to update the initial FEM of RSB, aiming to make the numerical modal properties match the field monitoring results. Two stochastic sampling algorithms, i.e., the Metropolis-Hastings (MH) algorithm and the Hybrid Monte Carlo (HMC) algorithm, are respectively investigated to show their advantages and limitations in Bayesian updating. Subsequently, based on the experimentalsamples generated by the Latin hypercube sampling algorithm, a Kriging predictor is established as a surrogate model to reduce the computational burden of model updating. Results show that the HMC algorithm could guarantee much higher acceptance rate of the sampled chain than the MH algorithm especially when the updating step size is large. In addition, combined with the Kriging predictor, Bayesian model updating method could serve as an effective and efficient tool to calibrate the FEM of large-scale civil infrastructures.

Corroded and loosened bolt detection of steel bolted joint based on improved you only look once network and line segment detector

Hao Wang,Youhao Ni,Jian-Xiao Mao,Yuguang Fu,Zhuo Xi 국제구조공학회 2023 Smart Structures and Systems, An International Jou Vol.32 No.1

Steel bolted joint is an important part of steel structure, and its damage directly affects the bearing capacity and durability of steel structure. Currently, the existing research mainly focuses on the identification of corroded bolts and corroded bolts respectively, and there are few studies on multiple states. A detection framework of corroded and loosened bolts is proposed in this study, and the innovations can be summarized as follows: (i) Vision Transformer (ViT) is introduced to replace the third and fourth C3 module of you-only-look-once version 5s (YOLOv5s) algorithm, which increases the attention weights of feature channels and the feature extraction capability. (ii) Three states of the steel bolts are considered, including corroded bolt, bolt missing and clean bolt. (iii) Line segment detector (LSD) is introduced for bolt rotation angle calculation, which realizes bolt looseness detection. The improved YOLOv5s model was validated on the dataset, and the mean average precision (mAP) was increased from 0.902 to 0.952. In terms of a lab-scale joint, the performance of the LSD algorithm and the Hough transform was compared from different perspective angles. The error value of bolt loosening angle of the LSD algorithm is controlled within 1.09%, less than 8.91% of the Hough transform. Furthermore, the proposed framework was applied to fullscale joints of a steel bridge in China. Synthetic images of loosened bolts were successfully identified and the multiple states were well detected. Therefore, the proposed framework can be alternative of monitoring steel bolted joints for management department.

Variability analysis on modal parameters of Runyang Bridge during Typhoon Masta

Jian-Xiao Mao,Hao Wang,Zhi-Xiang Xun,Zhong-Qin Zou 국제구조공학회 2017 Smart Structures and Systems, An International Jou Vol.19 No.6

The modal parameters of the deck of Runyang Suspension Bridge (RSB) as well as their relationships with wind and temperature are studied based on the data recorded by its Structural Health Monitoring System (SHMS). Firstly, frequency analysis on the vertical responses at the two sides of the deck is carried out to distinguish the vertical and torsional vibration modes. Then, the vertical, torsional and lateral modal parameters of the deck of RSB are identified using Hilbert-Huang Transform (HHT) and validated by the identified results before RSB was opened to traffic. On the basis of this, the modal frequencies and damping ratios of RSB during the whole process of Typhoon Masta are obtained. And the correlation analysis on the modal parameters and wind environmental factors is then conducted. Results show that the HHT can achieve an accurate modal identification of RSB and the damping ratios show an obvious decay trend as the frequencies increase. Besides, compared to frequencies, the damping ratios are more sensitive to the environmental factors, in particular, the wind speed. Further study on configuring the variation law of modal parameters related with environmental factors should be continued.

Apple RING finger E3 ubiquitin ligase MdMIEL1 negatively regulates salt and oxidative stresses tolerance

Jian-Ping An,Xin Liu,Lai-Qing Song,Chun-Xiang You,Xiao-Fei Wang,Yu-Jin Hao 한국식물학회 2017 Journal of Plant Biology Vol.60 No.2

RING-finger-containing E3 ubiquitin ligases play important roles in plant response to biotic and abiotoc stresses. In this study, through homology analysis, a Malus× domestica MYB30-Interacting E3 Ligase 1 gene, MdMIEL1, was identified and subsequently cloned from apple ‘Gala’ (Malus×domestica). MdMIEL1 contained a zinc finger domain close to N-terminus and a RING finger domain close to Cterminus. Expression of MdMIEL1 was significantly induced by NaCl and H2O2 treatments. Further study demonstrated that the MdMIEL1-overexpressing Arabidopsis and apple calli were less tolerance to salt stress than wild-type control. In addition, transgenic plants had higher levels of reactive oxygen species (ROS) (H2O2 and O2 –). And transgenic Arabidopsis and apple calli exhibited more sensitive phenotype to H2O2 treatment, which was associated with increased levels of ROS. These findings indicate MdMIEL1 is an important regulator involved in plant response to salt and oxidative stresses tolerance.

Study on Influences and Elimination of Test Temperature on PDC Characteristic Spectroscopy of Oil-Paper Insulation System

Xiao Liu,Ruijin Liao,Yandong Lv,Jiefeng Liu,Jun Gao,Jian Hao 대한전기학회 2015 Journal of Electrical Engineering & Technology Vol.10 No.3

Test temperature is an important factor affecting the measurement results of dielectric response of field power transformers. In order to better apply the polarization and depolarization current (PDC) to the condition monitoring of oil-paper insulation system in power transformers, the influences and elimination method of test temperature on PDC characteristic spectroscopy (PDC-CS) were investigated. Firstly, the experimental winding sample was measured by PDC method at different test temperatures, then the PDC-CS was obtained from the measurement results and its changing rules were discussed, which show that the PDC-CS appears a horizontal mobility with the rise of temperature. Based on the rules, the “time temperature shift technique” was introduced to eliminate the influence of test temperature. It is shown that the PDC-CS at different test temperatures can be converted to the same reference temperature coincident with each other.

Gaussian mixture model for automated tracking of modal parameters of long-span bridge

Jian-Xiao Mao,Hao Wang,Billie F. Spencer Jr. 국제구조공학회 2019 Smart Structures and Systems, An International Jou Vol.24 No.2

Determination of the most meaningful structural modes and gaining insight into how these modes evolve are important issues for long-term structural health monitoring of the long-span bridges. To address this issue, modal parameters identified throughout the life of the bridge need to be compared and linked with each other, which is the process of mode tracking. The modal frequencies for a long-span bridge are typically closely-spaced, sensitive to the environment (e.g., temperature, wind, traffic, etc.), which makes the automated tracking of modal parameters a difficult process, often requiring human intervention. Machine learning methods are well-suited for uncovering complex underlying relationships between processes and thus have the potential to realize accurate and automated modal tracking. In this study, Gaussian mixture model (GMM), a popular unsupervised machine learning method, is employed to automatically determine and update baseline modal properties from the identified unlabeled modal parameters. On this foundation, a new mode tracking method is proposed for automated mode tracking for long-span bridges. Firstly, a numerical example for a three-degree-of-freedom system is employed to validate the feasibility of using GMM to automatically determine the baseline modal properties. Subsequently, the field monitoring data of a long-span bridge are utilized to illustrate the practical usage of GMM for automated determination of the baseline list. Finally, the continuously monitoring bridge acceleration data during strong typhoon events are employed to validate the reliability of proposed method in tracking the changing modal parameters. Results show that the proposed method can automatically track the modal parameters in disastrous scenarios and provide valuable references for condition assessment of the bridge structure.

Wide-Tunable Mid Infrared Intra-cavity Optical Parametric Oscillator Based on Multi-period MgO:PPLN

Xiao-Chan Wang,Yu-Heng Wang,Hao Zheng,Hong-Zhi Liu,Yong-Ji Yu,Zi-Jian Wang 한국광학회 2021 Current Optics and Photonics Vol.5 No.1

This paper reports a tunable diode-pumped folded intracavity Q-switched singly resonant optical parametric oscillator based on multi-period MgO:PPLN. A wide tuning mid-infrared parametric lightfrom 2.78 μm to 4.17 μm was obtained in real time by changing the poled periods and temperatures. The maximum output power of 1.89 W at 3.2 μm, 1.53 W at 3.5 μm, 0.87 W at 3.8 μm and 0.486 W at 4.1 μm were achieved. The highest optical-optical conversion efficiency was 7.89%. During experiments, a range tunable output of 2.78–4.17 μm in the mid-infrared range was achieved.

Prognostic Value of PLCE1 Expression in Upper Gastrointestinal Cancer: a Systematic Review and Meta-analysis

Cui, Xiao-Bin,Peng, Hao,Li, Su,Li, Ting-Ting,Liu, Chun-Xia,Zhang, Shu-Mao,Jin, Ting-Ting,Hu, Jian-Ming,Jiang, Jin-Fang,Liang, Wei-Hua,Li, Na,Li, Li,Chen, Yun-Zhao,Li, Feng Asian Pacific Journal of Cancer Prevention 2014 Asian Pacific journal of cancer prevention Vol.15 No.22

Background: A number of studies have identified a shared susceptibility locus in phospholipase C epsilon 1 (PLCE1) for esophageal squamous cell carcinoma (ESCC) and gastric cardia adenocarcinomas (GCA). However, the results of PLCE1 expression in esophageal and gastric cancer remain inconsistent and controversial. Moreover, the effects on clinicopathological features remain undetermined. This study aimed to provide a precise quantification of the association between PLCE1 expression and the risk of ESCC and GCA through meta-analysis. Materials and Methods: Eligible studies were identified from PubMed, Wanfang Data, ISI Web of Science, and the Chinese National Knowledge Infrastructure databases. Using RevMan5.2 software, pooled odds ratios (ORs) with 95% confidence intervals (CIs) were employed to assess the association of PLCE1 expression with clinicopathological features relative to ESCC or GCA. Results: Seven articles were identified, including 761 esophageal and gastric cancer cases and 457 controls. Overall, we determined that PLCE1 expression was associated with tumor progression in both esophageal cancers (pooled OR=5.93; 95%CI=3.86 to 9.11) and gastric cancers (pooled OR=9.73; 95%CI=6.46 to 14.7). Moreover, invasion depth (pooled OR=3.62; 95%CI=2.30 to 5.70) and lymph node metastasis (pooled OR=4.21; 95%CI=2.69 to 6.59) were linked with PLCE1 expression in gastric cancer. However, no significant associations were determined between PLCE1 overexpression and the histologic grade, invasion depth, and lymph node metastasis in esophageal cancer. Conclusions: Our metaanalysis results indicated that upregulated PLCE1 is significantly associated with an increased risk of tumor progression in ESCC and GCA. Therefore, PLCE1 expression can be appropriately regarded as a promising biomarker for ESCC and GCA patients.

Study on the effect of vacuum fusion infiltration technology on the properties of tungsten/copper joining interface

Zhang Hao-Jie,Tian Xue-qin,Ding Xiao-Yu,Zheng Hui-Yun,Luo Lai-Ma,Wu Yu-Cheng,Yao Jian-Hua 한국원자력학회 2024 Nuclear Engineering and Technology Vol.56 No.6

In this paper, based on the need for high-strength connections between all-tungsten-oriented plasma materials and thermal sinking materials of copper and its alloys in nuclear fusion devices, a study on the effect of tungsten surface laser micro structuring on the interfacial bonding properties of W/Cu joints was carried out. In the experiment, the connectors were prepared by vacuum fusion infiltration technology, and the effects of microgroove structure on the mechanical and thermal conductivity of W/Cu connectors were investigated under different parameters (including microgroove pitch, microgroove depth, and microgroove taper). The maximum shear strength is 126.0 MPa when the pitch is 0.15 mm and the depth is 34 μm. In addition, the negative taper structure, i.e., the width of the entrance of the microstructure is smaller than the width of the interior of the microstructure, is also investigated. The shear tests show that there is an approximately linear relationship between the shear strength of W/Cu and taper. Compared with the positive taper, the shear strength of the samples with the same morphological density and depth of the tungsten surface is significantly higher.