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Reinforcement design of anchor blocks for external tendons

Hong Hao,Tong Yuqiang ,He Zhiqi,Liu Zhao

Strategic Study of CAE 2013, Volume 15, Issue 8, Pages 95-98

Abstract:

Reinforced blocks are common anchorage forms for external tendons. However, there was no mature design method. Through finite element analysis, the paper revealed that the tensile stress concentration was caused by three typical local actions. On this basis, three equations for calculating resultant forces of these local actions were formulated. Thus a quantitative reinforcement design method of anchor blocks was proposed. Finally, an anchor block of the Fourth Nanjing Yangtze River Bridge was presented as a design example to demonstrate the effectiveness and convenience of the proposed method.

Keywords： anchor block external prestressing reinforcement design bursting force cantilever action tie-back

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Discussion on back-to-back two-stage centrifugal compressor compact design techniques

Lei HUO, Huoxing LIU

Frontiers of Mechanical Engineering 2013, Volume 8, Issue 4, Pages 390-400 doi: 10.1007/s11465-013-0278-2

Abstract:

Design a small flow back-to-back two-stage centrifugal compressor in the aviation turbocharger, theTherefore, the stationary part of the back-to-back two-stage centrifugal compressor should pay full attention

Keywords： back-to-back two-stage centrifugal compressor design Internal flow

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Choosing configurations of transmission line tower grounding by back flashover probability value

Dmitry KUKLIN

Frontiers in Energy 2016, Volume 10, Issue 2, Pages 213-226 doi: 10.1007/s11708-016-0398-6

Abstract: The probability of back flashover, which provides both qualitative and quantitative estimate of the groundingDifferent approaches are examined for identifying the back flashover probability, as not only amplitudesIt is found that lightning current waveform can greatly influence calculated back flashover probability

Keywords： grounding transmission line tower back flashover probability FDTD method

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Ultrasonic measurement of tie-bar stress for die-casting machine

Frontiers of Mechanical Engineering doi: 10.1007/s11465-021-0663-1

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DFIG sliding mode control fed by back-to-back PWM converter with DC-link voltage control for variable

Youcef BEKAKRA,Djilani BEN ATTOUS

Frontiers in Energy 2014, Volume 8, Issue 3, Pages 345-354 doi: 10.1007/s11708-014-0330-x

Abstract: control of doubly fed induction generator (DFIG) with the rotor connected to the electric grid through a back-to-backA proportional-integral-(PI) controller is used to keep the DC-link voltage constant for a back-to-back

Keywords： doubly fed induction generator (DFIG) wind turbine back-to-back pulse width modulation (PWM) DC-link

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Renewable synthetic fuel: turning carbon dioxide back into fuel

Frontiers in Energy 2022, Volume 16, Issue 2, Pages 145-149 doi: 10.1007/s11708-022-0828-6

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Acupuncture is ineffective for chronic low back pain? A critical analysis and rethinking

Xuqiang Wei, Baoyan Liu

Frontiers of Medicine 2021, Volume 15, Issue 5, Pages 767-775 doi: 10.1007/s11684-020-0785-6

Abstract: Acupuncture is a promising treatment for relieving pain and improving lower back function in clinicalMost RCTs conclude that acupuncture procedures for chronic low back pain (CLBP) had no significant difference

Keywords： chronic low back pain sham acupuncture acupuncture methodology therapeutic evaluation

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Take back and treatment of discarded electronics: a scientific update

Ab STEVELS, Jaco HUISMAN, Feng WANG, Jinhui LI, Boyang LI, Huabo DUAN

Frontiers of Environmental Science & Engineering 2013, Volume 7, Issue 4, Pages 475-482 doi: 10.1007/s11783-013-0538-8

Abstract: This paper indicates that the performance of tack-back and treatment of electronic waste (e-waste) system

Keywords： e-waste take back treatment substantially

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MEMS-based thermoelectric infrared sensors: A review

Dehui XU, Yuelin WANG, Bin XIONG, Tie LI

Frontiers of Mechanical Engineering 2017, Volume 12, Issue 4, Pages 557-566 doi: 10.1007/s11465-017-0441-2

Abstract:

In the past decade, micro-electromechanical systems (MEMS)-based thermoelectric infrared (IR) sensors have received considerable attention because of the advances in micromachining technology. This paper presents a review of MEMS-based thermoelectric IR sensors. The first part describes the physics of the device and discusses the figures of merit. The second part discusses the sensing materials, thermal isolation microstructures, absorber designs, and packaging methods for these sensors and provides examples. Moreover, the status of sensor implementation technology is examined from a historical perspective by presenting findings from the early years to the most recent findings.

Keywords： thermoelectric infrared sensor CMOS-MEMS thermopile micromachining wafer-level package

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Recycling of heat discharged from bearing quenching

WEN Xin-lin, CI Tie-jun, ZHANG Rong-ying, WEN Peng

Frontiers of Mechanical Engineering 2006, Volume 1, Issue 4, Pages 472-474 doi: 10.1007/s11465-006-0062-7

Abstract: In this paper, the technical method of cooling quench medium with air-cooler in the process of bearing quenching is introduced. The exhausted hot air is directly used to dry bearing balls. It is a novel approach for full utilization of heat energy during heat treatment, which increased 30 % of the heat efficiency when compared with normal air-cooler methods that directly put exhaust air into atmosphere.

Keywords： process utilization technical efficiency atmosphere

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An approach for mechanical fault classification based on generalized discriminant analysis

LI Wei-hua, SHI Tie-lin, YANG Shu-zi

Frontiers of Mechanical Engineering 2006, Volume 1, Issue 3, Pages 292-298 doi: 10.1007/s11465-006-0022-2

Abstract: To deal with pattern classification of complicated mechanical faults, an approach to multi-faults classification based on generalized discriminant analysis is presented. Compared with linear discriminant analysis (LDA), generalized discriminant analysis (GDA), one of nonlinear discriminant analysis methods, is more suitable for classifying the linear non-separable problem. The connection and difference between KPCA (Kernel Principal Component Analysis) and GDA is discussed. KPCA is good at detection of machine abnormality while GDA performs well in multi-faults classification based on the collection of historical faults symptoms. When the proposed method is applied to air compressor condition classification and gear fault classification, an excellent performance in complicated multi-faults classification is presented.

Keywords： generalized discriminant non-separable abnormality classification multi-faults classification

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An Ultracompact Spoof Surface Plasmon Sensing System for Adaptive and Accurate Detection of Gas Using a Smartphone

Xuanru Zhang,Jia Wen Zhu,Tie Jun Cui,

Engineering doi: 10.1016/j.eng.2023.05.013

Abstract: Resonantly enhanced dielectric sensing has superior sensitivity and accuracy because the signal is measured from relative resonance shifts that are immune to signal fluctuations. For applications in the Internet of Things (IoT), accurate detection of resonance frequency shifts using a compact circuit is in high demand. We proposed an ultracompact integrated sensing system that merges a spoof surface plasmon resonance sensor with signal detection, processing, and wireless communication. A software-defined scheme was developed to track the resonance shift, which minimized the hardware circuit and made the detection adaptive to the target resonance. A microwave spoof surface plasmon resonator was designed to enhance sensitivity and resonance intensity. The integrated sensing system was constructed on a printed circuit board with dimensions of 1.8 cm × 1.2 cm and connected to a smartphone wirelessly through Bluetooth, working in both frequency scanning mode and resonance tracking mode and achieving a signal-to-noise ratio of 69 dB in acetone vapor sensing. This study provides an ultracompact, accurate, adaptive, sensitive, and wireless solution for resonant sensors in the IoT.

Keywords： Spoof surface plasmons Internet of Things Integrated sensing Resonance tracking Microwave sensing

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A local density optimization method based on a graph convolutional network

Hao Wang, Li-yan Dong, Tie-hu Fan, Ming-hui Sun,wanghao18@mails.jlu.edu.cn,dongly@jlu.edu.cn,fth@jlu.edu.cn

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 12, Pages 1671-1814 doi: 10.1631/FITEE.1900663

Abstract: Success has been obtained using a semi-supervised graph analysis method based on a (GCN). However, GCN ignores some local information at each node in the graph, so that data preprocessing is incomplete and the model generated is not accurate enough. Thus, in the case of numerous unsupervised models based on technology, local node information is important. In this paper, we apply a local analysis method based on the similar neighbor hypothesis to a GCN, and propose a definition; we call this method LDGCN. The LDGCN algorithm processes the input data of GCN in two methods, i.e., the unbalanced and balanced methods. Thus, the optimized input data contains detailed local node information, and then the model generated is accurate after training. We also introduce the implementation of the LDGCN algorithm through the principle of GCN, and use three mainstream datasets to verify the effectiveness of the LDGCN algorithm (i.e., the Cora, Citeseer, and Pubmed datasets). Finally, we compare the performances of several mainstream graph analysis algorithms with that of the LDGCN algorithm. Experimental results show that the LDGCN algorithm has better performance in node classification tasks.

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Review on New Theories and Methods in Prototype Back Analysis of Dam

Gu Chongshi,Wu Zhongru

Strategic Study of CAE 2001, Volume 3, Issue 8, Pages 76-81

Abstract:

Based on the study of the present theories and application in prototype back analysis of dam, thehot problems which need to be solved urgently in back analysis are pointed out and studied.Some new back analysis theories and methods are introduced.

Keywords： dam prototype back analysis application

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Simulation of grid connection and maximum power point tracking control of brushless doubly-fed generator in wind power system

Hicham SERHOUD, Djilani BENATTOUS

Frontiers in Energy 2013, Volume 7, Issue 3, Pages 380-387 doi: 10.1007/s11708-013-0252-z

Abstract: In this paper, based on the analysis of the mathematical model in a common synchronous reference frame of the brushless doubly-fed generator (BDFG), the grid connection strategy and maximum energy extraction control were both analyzed. Besides, the transient simulation of no-load model and generation model of the BDFG have been developed on the MATLAB/Simulink platform. The test results during cutting-in grid confirmed the good dynamic performance of grid synchronization and effective power control approach for the BDFG-based variable speed wind turbines.

Keywords： brushless doubly-fed generator (BDFG) modeling grid connection control back-to-back pulse-width modulation