bluuebunny/crossref_metadata_2025_split huggingface dataset:
AHP_FCE-based high-rise building construction risk assessment
Authors: Li Qingfu , Wang Saisai , Zhang Zhanfeng , Qian Huajie , Pei Junjie 
Published: April 2020

Abstract
There are many uncertain factors in the construction of high-rise buildings. By identifying the risk factors existing in the construction of high-rise buildings, this paper establishes a comprehensive evaluation index system for construction risks of high-rise buildings; and the method of combining analytic hierarchy process and fuzzy comprehensive evaluation is adopted, and the respective advantages are used to establish a construction risk evaluation model; The analytic hierarchy process was used to calculate the weights of the indicators at all levels with the help of MALAB software. The fuzzy comprehensive evaluation method was used to construct the risk evaluation matrix, and the Zadeh operator was used to calculate the evaluation indicators at various levels. The risk factors in the construction process of high-rise buildings are evaluated at the second level and passed. An example verifies the practicability of the above method.
A Changing Process-from climate change to country’s fragility
Authors: Kong Weikaixin , Chu Dantong , Lou Yameng 
Published: April 2020

Abstract
We analyze the impact of climate change to different extent of country’s fragility, using Central African Republic and Mexico as an example of top ten most fragile country and a moderate fragile country respectively. Through our dynamic model, a strong intervention of government is proved to have a significant effect on alleviating the fragility of country. The strengths and weaknesses of our models are discussed and we also propose solution for the fragility of the country. In this paper, we conclude the relationship between climate change and country’s fragility together with the effect of interventions based on our models, which may also give an inspiration for the later dynamic prediction.
Selection of landslide affecting factors based on strong association analysis
Authors: Li Luyao , Liu Rui , Yang Xin , Yang Mei , Yang Yuantao 
Published: April 2020

Abstract
The performance of models in landslide susceptibility mapping largely depends on the selection and combination of affecting factors. The Apriori algorithm proposed in this paper is a factor selection method of strong association analysis, which can select the factors that are most likely to induce landslides from 15 affecting factors. Then combine the origin and optimized factors to build the prediction model of landslide susceptibility by support vector machine (SVM) in machine learning. Afterwards, we verifying the landslide points in the dataset to measure the accuracy of the model. Ultimately, ROC curve was adopted to evaluate the prediction results of the two models. The result reveals that the model based on the combination of optimized factors (AUC 1=0.930) is superior to that based on 15 affecting factors (AUC 2=0.898).
A study on the Evolution of Morphological Vitality of Ancient City along the Silk Road Based on Space Syntax—Taking Zhangye as an example
Authors: Zhang Xiaojuan , Yang Zhiwei 
Published: April 2020

Abstract
Zhangye is one of the Chinese historical and cultural cities announced by the State Council in 1986. It is not only the historical junction of the “Ancient Juyan Road” and the “Ancient Silk Road”, but also an important economic and cultural town and the key position of introduction of Buddhist culture into China.On the basis of morphological evolution, this paper analyzes the changes of the space structure of zhangye ancient city and its status and function as a core in the overall urban space structure through space syntax. At the same time, this paper discusses the public space, road network structure and space elements of zhangye historical area. Especially the internal connection between traditional architecture, landscape, commerce, etc. On this basis, the specific strategies for promoting the vitality and attractiveness of the historical space of Zhangye are proposed, which provides a research foundation for the protection and sustainable development of the historical city in the future.
Effect of frequencies on the change of electrical impedance in sand dunes of Ouargla region
Authors: Remita N. , Chihi S. , Mechri ML. 
Published: April 2020

Abstract
In this paper, we put the accent on the measurement of real and imaginary parts of electrical impedance and effective loss tangent respectively z′, z″ and tgδ in sand dunes of Ouargla region at a range of frequency intervals between 4,6849×10−2 Hz and 1,8593×10+6 Hz with AC voltage of 1.000 V using the impedance spectroscopy. The experimental results revealed that the real and imaginary parts of electrical impedance and effective loss tangent have strong frequency dependence. In the frequencies range (4,6849×10−2 – 4,9385×10−1) Hz z′ < 0 and z″ change between (4,8118×10+2 × 5,0422×10+1) Ω, in the frequencies range (5,4877×10+1 – 2,3426×10+4) Hz z′change between 146,04 Ω and 4,8193 Ω and z″<0. In high frequencies range (1,2599×10+5 – 1,8593× 10+6) Hz z′ change between 4,5359 Ω and 5,0567 Ω. The effective loss tangent values increase until they reach a peak, in frequencies range between 4,6849×10−2 Hz and 2,5197×10−1 Hz, but then the remaining frequency the values decrease until they become constant. The nature of impedance electric variation indicated a possibility to knowledge the polarization of sand dunes of Ouargla region and acquaintance the frequencies when the material is passive devices or active devices. It is also possible to know the quality of equivalent electrical circuit, whether it is induction or capacitance.
Crystal structure: How to use data quality Indicators to select a high resolution cutoff
Authors: Mouha M.AIT , Tlamsamani D. , Yamni K. 
Published: April 2020

Abstract
To get a good quality crystal structure, we should first do the initial analysis of the diffraction data. There are many global indicators of the quality of the diffraction data. Accentuated in this paper are the dmin, deff, C, Rmerge
and Rr.i.m
. Based on the results obtained, this paper will overview in our understanding of how to use these indicators to select a high resolution cutoff that leads to the best crystal structure, using practical examples.
Infrared active modes in double walled CBN nanotube: theoretical study
Authors: Nassir A. M. , Boutahir M. , Fergani F. , Fakrach B. , Rahmani AH. , Chadli H. , Rahmani A. 
Published: April 2020

AbstractThis work focuses on a hybrid system consist of single-wall carbon nanotube inside single-wall boron nitride nanotube (CBN nanotube). The intertube interactions between the outer boron–nitride nanotube and inner carbon nanotube are described using a van der Waals interaction. The infrared spectra of CBN nanotubes are calculated in the framework of spectral moments method. The evolution of the infrared spectra of CBN nanotube as a function of their diameters and lengths are discussed. The obtained results are useful for the interpretation of the experimental infrared spectra of CBN nanotube.
Theoretical study of electronic properties of nitrogen doped carbon nanotubes
Authors: Allali Fatimaezzahrae , Chadli Hassane , Rahmani Abdelali 
Published: April 2020

Abstract
In this work, we have studied the effects of nitrogen (N) substitutional doping on the electronical properties of single wall carbon nanotube (SWCNT). The electronic density of states (eDOS) of these nanosystems has been calculated in the framework of tight-binding calculations method. The obtained results show that the semiconducting SWCNT could be a quasi-metallic one after N-substitution. We conclude that electronic properties of the N-doped nanotubes (SWCNNT) are sensitive not only to the concentration of nitrogen atoms but also to their distribution on the nanotube surface. Our main results are discussed in the light of the experimental data.
Thermal Lattice Boltzmann Method for micro-Poiseuille gas flow
Authors: Elguennouni Youssef , Hssikou Mohamed , Baliti Jamal , Alaoui Mohammed 
Published: April 2020

Abstract
In this paper, the thermal Lattice Boltzmann Method (TLBM) is used to simulate a gas microflow. The simulated gas is confined within an inlet/outlet microchannel and driven by a constant inlet velocity Uin
. The bottom wall temperature is taken to be equal zero while the top wall temperature is decreasing from 1 to 0. For consistent results velocity slip and temperature jump boundary conditions at the walls are used. The rarefaction effects given by the Knudsen number, on the velocity and temperature profile are investigated. The results obtained from the TLBM are compared with those obtained using the Finite Difference Method (FDM). In addition to the good agreement observed between the two methods, the results show an interesting sensitivity of velocity and temperature profiles with the gas rarefaction degree.
Computational Effective Thermal Conductivity of Polyurethane Mixed Cell Foams
Authors: Hermama Chaïmaâ , Elmaliki Anas , Lahbabi Salma 
Published: April 2020

Abstract
The objective of this paper was to calculate effective thermal conductivity of polyurethane foam used in thermal insulation of buildings with a new modeling approach. The proposed approach was more realistic as it simulated the real fraction of closed cells and open cells in the foam and it modeled the real physical phenomena that happen when both types of cells are present. This study was investigated for polyurethane foam with 70 % of closed cells and 30 % of open cells, by using finite element method and numerical homogenization. The result showed that there was a systematic change in thermal conductivity when the type of cell (closed, open and mixed cell) varied at fixed volume fraction. Also the effective thermal conductivity of mixed cell of this PU foam was about λm= 0.07 W.m-1.K-1. Simulation proved the interest of this approach. Indeed, it brought new factor that influence the effective parameters which was fraction of closed cells and open cells. They suggested new method for computing thermal conductivity as a function of thermal conductivity of closed and open cell foam.
Effect of temperature variations on interfacial debonding of FRP-plated beams: A coupled mix-mode cohesive zone modeling
Authors: Wilson Julian , Gao Wan-Yang , Yang Jian 
Published: April 2020

Abstract
The use of fiber-reinforced polymer (FRP) plates for the strengthening of structural members involves their exposure to service temperature variations (i.e., thermal loadings). Such temperature variations may lead to thermal stress and the interfacial debonding of the FRP-plated beam as a result of the thermal mismatch between the FRP plate and the substrate beam. There is lacking research related to the effect of temperature variations on the interfacial debonding of FRP-plated beams. This paper presents the first-ever analytical study on the behavior of the FRP-plated beam under combined thermal and mechanical loadings. The interfacial stress and slip evolutions as well as the debonding process of the FRP-plated beam are estimated based on a coupled mix-mode cohesive zone modeling. In addition, a finite element (FE) approach is proposed to verify the analytical solution in which the analytical results are compared with the FE model predictions, indicating that a good agreement was achieved between the analytical and FE results.
Molecular dynamics simulations the effect of temperature on the plastic deformation mechanism in aluminum single crystal
Authors: Wang Zhao , Li Yalin , Hu Ting , Cai Jun 
Published: April 2020

Abstract
Molecular dynamics simulations are performed to investigate the effect of temperature on the plastic deformation mechanism in aluminum single crystal. It is found that as temperature increases the Yield strength and Young’s modulus of the aluminum under compressive and tensile strain will reduce. Moreover, it is found that the higher temperature is, the easier the dislocation emission is. Under compressive strain, the proportion of 1/6<112> Shockley type of dislocations to total dislocations is found to increase with the temperature increasing. It is also found that only a large amount of dislocation occurring incipiently the strength of the material can be yield.
Stress intensity factor of circumferential periodic cracks on tube with stiffened plates under tension
Authors: Yuan W J , Xie Y J 
Published: April 2020

Abstract
Fracture is one of the most common failure of engineering structure and the stress intensity factor is the key parameter used to decide whether the structure will crack or not. This essay is based on the concept of conservation law and the tension theory in mechanics of material. It analyzes the stress intensity factor of circumferential periodic cracks on tube with stiffened plates, it obtains the specific expression of stress intensity factor of circumferential periodic cracks on tube with stiffened plates under tension. Finite element method is used for checking the stress intensity factor of cracks and proving the accuracy of expression’s results. The method which proposed in this essay is easy to calculate and can get the closed solution.
Additional bending moment of thick-walled elliptical tube under internal pressure
Authors: Chen Gang , Chu Guan-Nan , Lin Cai-Yuan 
Published: April 2020

Abstract
With the development of industry, the elliptic-sectional tube is widely used in some special situation. In this paper, a theoretical model is developed to calculate the additional bending moment of thick-walled elliptical tube under the internal pressure, based on the structural static force method. The effects of internal pressure and ellipticity on the additional moment were discussed. At last, finite element analyses were conducted and the results were compared with the theoretical results to verify the correctness of this theoretical model. This model can provide a guideline for determining the maximum additional bending moment of elliptic, and help in estimating the failure of the elliptical tube under the internal pressure.
Predictive modeling of surface roughness in the inner thread grinding considering the effects elastic deformation
Authors: Fang Cui , Zhao Yongsheng , Yang Congbin , Liu Zhifeng 
Published: April 2020

Abstract
Surface roughness is an important factor to consider in the field of precision manufacturing. In this study, a model of the surface roughness in inner thread grinding that takes into account the thread helix angle and effect of elastic deflection between the wheel and the workpiece is presented. The surface roughness is analyzed under different spindle speeds, workpiece speeds, grinding depths, and thread helix angles. The proposed model provides a theoretical basis for the optimization of high-precision inner thread grinding.
Projection Intensity Adjustment Method Based on Multi-threshold for Fringe Projection Technology
Authors: Yu Changzhi , Ji Fang , Li Fang 
Published: April 2020

Abstract
Three dimension measurement based on fringe projection technology is widely used in precision manufacturing. However, when measuring objects with reflective surfaces, the measurement accuracy is reduced due to image saturation. This paper presents a projection intensity adjustment method based on multi-threshold. The reflectivity information of fringe pixels and scale factor are used to calculate the multi- threshold. According to the multi-threshold, the optimal projection intensities are obtained, which reduces the image saturation and improves the measurement accuracy. The experimental results show that this method can improve the measurement accuracy effectively.
Study on the envelope process of the flexspline of harmonic reducer based on the angle of wave generator
Authors: Zhang Tao , Liu Zhifeng , Yang Congbin , Hu Qiushi 
Published: April 2020

Abstract
Harmonic reducer is the core part of robot joint, its tooth shape design theory and meshing characteristics will directly affect the motion control accuracy and vibration characteristics of robot. This paper studies the meshing process of the circular spline and flexsplines of the harmonic reducer based on the double arc profile and the elliptical wave generator. The main innovation of this research is to take the input angle of the wave generator as an independent variable, which more clearly represents the enveloping process and meshing interval distribution of the tooth profile. The results show that the secondary meshing process of the double circular arc tooth profile exists on both sides of the long axis of the wave generator. But the second conjugate contact interval is small, so the optimization of tooth shape should focus on the first conjugate interval. This study provides a theoretical basis for the design of tooth profile parameters of harmonic reducer.
Research of electric heating control based on model predictive control algorithm
Authors: Zhang Chao , Liu Bo 
Published: April 2020

Abstract
In order to improve the heating efficiency and control precision of electric heater, the method that applying the model predictive control algorithm to electric heating control was proposed. According to the analysis of electric heating characteristics, it was proposed that taking PID controller and the electric heater as the generalized object of the control to improve the dynamic response and the linearity. For realizing model predictive control, the system framework of this algorithm and the operating steps of controller were designed. The result of simulation and experiment proved this method effective and superior over the traditional control. Finally, the analysis on some parameters of controller provides a reference for others who interested in this study.
Research on Calibration Technology of Five-Degrees-of-Freedom Tandem Robots
Authors: Li Zhe , Zhang Zhijing , Yao He 
Published: April 2020

Abstract
In the robot feedback control system of visual feedback, the calibration of the hand-eye system is very important, because it directly affects the accuracy of the robot. Aiming at the small operating space and compact structure of the micro-assembly robot system, a fixed-vision hand-eye calibration method is proposed. The method first obtains the coordinates of 15 spatial points in the robot base coordinate system, and then uses the camera pose measurement principle to obtain the coordinates of the corresponding spatial points in the camera coordinate system, and then establishes the calibration equations. Based on the least squares method, the coordinate transformation matrix between the hand-eye systems is calibrated. The experimental results show that the constructed hand-eye system coordinate transformation matrix is effective and reliable. The calibration accuracy and effectiveness of the method are verified by relevant grabbing experiments.
Target Detection and Tracking System Based on FPGA
Authors: Yu Xiuli , Li Bingqi , Dong Mingshuai , Yin Weimin 
Published: April 2020

Abstract
The parallel processing mode of Field Programmable Gate Array (FPGA) and the ability to perform multiple tasks repeatedly meet the real-time and flexible requirements of target detection and tracking. The FPGA of Cyclone IV of ALTERA company is adopted as the hardware processor for the system platform to filter and preprocess color conversion of the collected image. The edge detection method of Sobel operator is adopted to realize the convolution and binarization processing of the third-order matrix of pixel points and the operator template, and the inter-frame difference algorithm is applied to the moving target. At the same time, the tracking algorithm based on centroid feature matching can realize the real-time tracking of target position. The system uses the characteristics of high real-time, low power consumption, parallel processing and strong expansibility of the FPGA, transplants machine vision algorithm into the FPGA, reduces the delay of image processing, and completes the hardware implementation of the target detection and tracking algorithm. Finally, the experiment verifies the real-time performance and effectiveness of the algorithm.
Research on Fault Diagnosis Method of Gearbox Based on SA and BP-AdaBoost
Authors: Zhang Yangyang , Jia Yunxian , Wu Weiyi , Su Xiaobo , Liang Dong 
Published: April 2020

Abstract
In order to solve the problems of difficult selection of state feature parameters and poor accuracy of single BP Neural Network in gearbox fault diagnosis, a gearbox fault diagnosis method based on SA and BP-AdaBoost is proposed. Taking the typical fault of a gearbox as the research object, the vibration signal of the typical working state of the gearbox is collected through the preset fault experiment. The time domain statistical parameters with high sensitivity is selected as the feature vectors by the Sensitivity Analysis method. Then these state feature vectors are input into BP-AdaBoost model for training and testing, and their results are compared with those of BPNN model. The results show that the proposed method can quickly and effectively diagnose the fault of gearboxe, and is better than BPNN model.
Analysis of water jetting happened in volute manhole of the hydropower plants
Authors: Li Wenbo , Liu Lanlan , Feng Xiang , Xiao Jian , Qi Fei , Zhou Hengyi , Zhang Jun 
Published: April 2020

Abstract
The water injection in the volute manhole of a hydropower plant was investigated and analyzed. The analysis results showed that the main reasons for the cracking and water jetting happened in the volute manhole were that, firstly, the opening of the volute manhole was not reasonable, the reinforcement structure was damaged, and the reinforcement strength was insufficient. Secondly, the welding quality was poor, which caused the weld defect to become a cracking source and expand into a crack.
Research on Ecological Driving Strategy of Urban Road Vehicles under Vehicle-road Collaborative Environment
Authors: Su Dan , Cong Wanjuan , Jiang Kun 
Published: April 2020

Abstract
With the increase of motor vehicles, the energy resources available for vehicles have become scarce. In view of the harmfulness of traffic emissions, energy conservation and emission reduction have become strategic goals for the development of the transportation industry. Guiding students to realize ecological driving and reducing vehicle fuel energy consumption and emissions have increasingly attracted the attention of researchers. We are supposed to do a research on signalized intersections at important nodes of urban transportation, use ecological driving to simulate the operation of bicycles and vehicle queues, establish an ecological driving model, and control energy conservation and emission reduction goals from multiple perspectives. This paper combines the ecological driving technology and micro fuel consumption calculation model under the vehicle-road collaborative environment to study the fleets within the signalized intersection. At the same time this paper proposes street signs, models, and case applications that can effectively reduce the average fuel consumption and parking times of the vehicles passing the signalized intersection to ensure the smoothness of operation at signalized intersections has been reduced, and rapid acceleration and deceleration operations have been performed. After verification, the establishment of the fleet’s eco-driving model has great effectiveness.