bluuebunny/crossref_metadata_2025 huggingface dataset:
Deep Attention Network for RGB-Infrared Cross-Modality Person Re-Identification
Authors: Li Yang , Xu Huahu
Published: September 2020

RGB-Infrared cross-modality person re-identification is an important task for 24hour full-time intelligent video surveillance, the task is challenging because of cross modal heterogeneity and intra modal variation. A novel deep attention network is proposed in this paper to handle these challenges by increasing the discriminability of the learned person features. The method includes three elements: (1) dual-path CNN to extract the feature maps of the RGB images and infrared images respectively, (2) dual-attention mechanism combining spatial attention and channel attention to enhance the discriminability of extracted features, and (3) joint loss function joining bi-directional ranking loss and identity loss to constraint the training process to further increase the accuracy. Extensive experiments on two public datasets demonstrate the effectiveness of our proposed method because the method achieves higher performance than state-of-the-arts methods.
The Analysis and Design of Unified Data Model for Electricity Market under the Background of Deepening Design
Authors: Dong Liu , Qian Zhang , Fei Ye , Lei Li , Chunyi Chen , Shuxian Qiu
Published: September 2020

With the deepening of market-oriented reform in China, the types of market entity are increasing. The existing data model of market entity in China’s power trading platform has been unable to meet the needs of registration and multidimensional statistical analysis under the new situation. Based on the design concept of the international standard IEC62325, this paper constructs the unified data mode with the wide range of adaptability including the market model and physical model, combining with the current registration needs of new market entity in China’s power market. The model takes into account the market registration of non-enterprise market entities (individuals or organizations) for the first time, and meets the registration needs of multi-identity market entity, realizing data sharing and market collaborative operation between two levels of platforms.
Application of Artificial Intelligence Technology in Pathological Image Analysis of Breast Tissue
Authors: Jia Mengmeng , Guo Xinjian , Tian Fang
Published: September 2020

Breast histopathological examination usually relies on experienced pathologists. In recent years, artificial intelligence technology has been applied to digital pathological images to help doctors diagnose breast tumor. This paper mainly introduces the research progress of artificial intelligence technology in pathological classification and histological grade of breast cancer. In view of the simplification of the pathological image analysis object of breast tissue, a multimodal breast cancer aided pathological diagnosis model is proposed. The proposed model combines the patient’s immunohistochemical diagnosis data and pathological image data with artificial intelligence to analyze and diagnose. To achieve a deeper evaluation of the patient’s condition on the basis of simple tumor screening, optimize the clinical treatment plan to make it more targeted. Discuss the main problems faced by artificial intelligence technology in the field of breast pathological image analysis, and prospect its development prospects.
Dynamic Complex Protein Detection using Binary Harris Hawks Optimization
Authors: Chellal Mouna , Benmessahel Ilyas
Published: September 2020

Identifying protein complexes brings new insights in the field of understanding of cellular life and the mechanisms underlying complex diseases. In order to solve the challenge of protein complex prediction, a large number of tools have been developed to create an efficient approach. Most existing methods do not take changing protein-protein interactions with time into consideration. To address these challenges, we propose a new binary technique of Harris Hawks Optimizer (BHHO) to improve the accuracy of protein complex detection. According to the core-attachment structure, BHHO is used to discover the potential cores of protein complexes by simulating the process of cooperative behavior in chasing by Harris’ hawks in nature. We design a new fitness function to detect protein complexes with various densities and modularities. The experimental results show that BHHO achieves an ideal performance PIN in term of the F1 and outperforms of the classical algorithms in yeast in term Jaccard measure.
A Hybrid Approach for Coronary Artery Anatomical Labeling in Cardiac CT Angiography
Authors: Zhou Chen
Published: September 2020

Automated anatomical labeling plays an essential role in the effort of developing a computer-aided diagnosing system for coronary artery diseases. The large variation between individuals, presence of vascular stenosis or blockages, and possible image degradations makes the problem extremely challenging. In this paper, we propose a hybrid approach that combines the strength of traditional rule-based methods and recent deep learning methods, ensuring interpretability and consistency of the labeling process while being capable of learning parameters in a data-driven scheme. Our method is composed of two major components. First, we present our method of artery tree building from possibly noisy initial segmentation. The proposed algorithm links missing vessel segments while reducing noise, resulting in a complete and clean centerline based artery tree representation. Next, our labeling algorithm combining gated graph convolutional network (GGCN) and logical rules is elaborated. Experiments have demonstrated encouraging results both for completeness of artery tree building and accuracy of anatomical artery labeling.
Application of Deep Neural Network for Congestive Heart Failure Detection Using ECG Signals
Authors: Zhang Yue , Xia Ming
Published: September 2020

Congestive heart failure (CHF) is a common serious heart disease that requires a number of clinical examinations to diagnose, which are costly and time-consuming. Electrocardiogram (ECG) is widely used in the diagnosis of various cardiovascular diseases due to its advantages of non-invasive, convenient and cheap, so the automatic CHF detection algorithm based on ECG signals can overcome the above shortcomings and has great application prospects. In this paper, inspired by the idea of DenseNet in computer version, we refined it to be applicable to CHF detection task, thus improving the diagnosis accuracy of the model. Secondly, to improve the robustness of the algorithm, we built a CHF database on PhysioBank, which contained more diverse data compared with similar studies, and conducted experiments on the built database. Finally, we presented an evaluation method based on the “inter-patient” pattern to evaluate the performance of the method more objectively. The results show that our algorithm can efficiently detect CHF with accuracy, sensitivity and specificity up to 94.97%, 89.38% and 99.50%, respectively. The algorithm proposed in this study can provide reliable references for doctors, and can be used in portable devices to realize real-time monitoring for patients.
In Silico Testing of a Closed-Loop Artificial Pancreas Based on Generalized Predictive Control
Authors: Liu Wenping , Jin Haoyu
Published: September 2020

The artificial pancreas (AP) system is a promising approach to maintain blood glucose concentration (BGC) of patients with type 1 diabetes (T1D) in a euglycemic range (70–180 mg/dl). A controller based on generalized predictive control (GPC) with an adaptive reference glucose trajectory and an adaptive softening factor (GPC+AA) was proposed for AP system in our previous research. It was built and tested with the University of Virginia (UVA)/Padova type 1 diabetes mellitus simulator (T1DMS), which embodies the biophysiological parameters of in-silico population accepted by the US Food and Drug Administration. It was showed that the GPC+AA controller realized effective control of the BGC of in-silico patients with T1D. Here, the effectiveness of the GPC+AA controller was further tested with strict conditions, including a pump with noise and error, a continuous glucose monitoring sensor and a high carbohydrate intake. Test results showed that the BGC of adolescent group was not effectively controlled with the GPC+AA controller. Then, the adaptive softening factor strategy was further optimized and a GPC controller with an adaptive reference glucose trajectory and an optimized adaptive softening factor (GPC+AO) was proposed here. It was demonstrated that the optimized adaptive softening factor strategy significantly improved the performance of the GPC controller, and the average BGC percentage within the euglycemic range of 9 adults and 10 adolescents increased to 80% and 70%, respectively. Thus, our GPC+AO controller is effective for patients with T1D and can be potentially applied in the AP systems.
A Parameter Classification Prediction Method Applied to LEAP Model of Electric Energy Substitution Forecasting
Authors: Cao Fang , Qian Ruixin
Published: September 2020

As an energy substitution analysis & prediction tool with flexible parameter structure, LEAP model can provide strong support and guidance for guiding the electricity substitution work. On the basis of accurate parameters in LEAP model, this paper proposes a specific parameter classification prediction method. First, a targeted data structure is established, and the parameters that need to be input into the LEAP model are classified into general parameters and scenario parameters according to their degree of certainty. Secondly, predict the general parameters using improved GM(1,1) model by modifying background values and initial conditions. Thirdly, a Grey-Monte Carlo model was proposed to predict scenario parameters and their occurrence probability. Finally, the correctness of the parameter classification and the parameter prediction model are verified through example analysis, and it is proved that the co-application of them improves the accuracy of the parameters and further improves the accuracy of the electric energy substitution prediction.
Design of Low-Power Low-noise CMOS ECG Amplifier for Smart Wearable Device
Authors: Yang Yuze
Published: September 2020

The artificial intelligence health care devices have focused on the portability and accuracy and the most trending area of wearable biomedical application has become the electrocardiogram (ECG) recording device. The ECG signals have the characteristic of low amplitude, prone to be influenced by Power Line Interference (PLI), so it is essential to achieve high gain and high common-mode rejection ratio (CMRR),while the input-referred noise and power consumption need to be low to realize the cardiac screening system on chip (Soc).In this paper, a low-noise low-power analog front end (AFE) amplifier which based on Driven-Right-Leg circuit(DRL) has been proposed. It was implemented in CMOS 180 nm with bias current and supply voltage of 12µA and 0.7V, respectively. The simulation results showed that this front-end circuit can achieve a low input referred noise of 4.11µV/Hz and high common mode rejection ratio of 135dB. It also gave voltage gain of 41.8 dB with the bandwidth from 0.1Hz to 100Hz and the total power consumption was 4.32µW. Compared with recently relevant whole circuit design, we believe that it is suitable to be used in smart wearable device.
Cooperative 3-D relative localization for UAV swarm by fusing UWB with IMU and GPS
Authors: Qi Yang , Zhong Yisheng , Shi Zongying
Published: September 2020

A real-time 3-D relative position estimator is presented for fixed-wing UAV swarm system in formation flight, using measurements from IMU, compass, GPS, and a set of UWB ranging radios. Instead of using stationary UWB anchors to provide 3-D coordinate and fusing it with IMU, the estimator uses UWB measurements for the construction of a non-convex function, and calculates the global optimum of the non-convex function to get position estimation, while the GPS positions are used to provide bearing information. Actual flight experiments with seven fixed-wing UAVs are conducted outdoors, and the experimental results indicate that the proposed scheme achieves lower distance estimation error between neighbor UAVs compared to traditional GPS/IMU/UWB fusing algorithm using EKF.
Research and Application of Key Techniques for Renovation of Excellent Historic Buildings
Authors: Wang Bin , Luo Lei , Wang Feiran
Published: September 2020

China has a very long history and culture. Many historical relics and monuments have been preserved to this day. These are also representatives of Chinese civilization. Among them, the value and status of buildings are relatively high, and they have strong research significance. Based on previous work experience, this article summarizes the repair concepts of modern historical building protection units. The author discusses the application of key technologies for the preservation and repair of excellent historical buildings from the following four aspects. The four aspects respectively are the flat roof repair technology, clear water exterior wall repair technology, cobblestone exterior wall repair technology, and brushed exterior wall repair technology.
Discussion on Green Interior Design Creativity Based on 3R Concept
Authors: Fang Xiao
Published: September 2020

In recent years, the speed of economic development has accelerated. It has also brought a great impact on the global environment, especially the global warming, which has made people pay more attention to ecological and environmental protection issues. The awareness of environmental protection has increased significantly, which also puts forward new requirements for interior design. In recent years, green engineering has become the mainstream form. In addition, some scholars have put forward the 3R concept, which is committed to using the least resources and generating the least pollution to create a more comfortable and safe living space and reduce the impact of the construction industry.
The Strategy to Measure the Effectiveness of Smart City Growth Model
Authors: Tian Di
Published: September 2020

Nowadays, people attach greater importance to smart growth initiatives in an effort to consider long-range, sustainable city planning goals. Urban planning has become increasingly important and necessary to ensure that people have access to equitable and sustainable communities, resources, and jobs [1]. Our study analyzed the possible impact on current smart growth strategies and defined a metric to measure the success of the smart growth level of a city. Furthermore, this paper selected 9 indicators to measure the key factors affecting the system, and divide them into three categories, which refer to Economy, Equality, and Environment. Our model is broad enough to accommodate various situations in different countries. Lastly, this paper researched the current growth plan of the selected cities, Atlanta and Karamay, to discuss how the current growth plan of each city meets the smart growth principles.
Finite element analysis of unloading sheet pile wharf with ABAQUS
Authors: Na Wang , Gang Wang , guoqiang Chen , xing Li , Yifeng Ji , nianfei Liu
Published: September 2020

Sheet pile wharf with separated relieving platform is so complex with little relatively engineering application that influencing factors of structure characteristics are lack of deeply studying. This paper researches it’s influencing factors by finite element numerical simulation finite element numerical simulation finite element numerical simulation the finite element numerical simulation of the Sheet pile wharf with separated relieving platform with ABAQUS, Referring to the partial dimensions and geological parameters of the centrifuge test for the separation unloading sheet pile wharf of the South Academy of Sciences, after proper simplification and reasonable assumption, The working mechanism and characteristics of the separated unloading sheet pile wharf are studied from a new angle, and the main influencing factors are further analyzed, which provides reference for the design calculation and optimization of the separated unloading sheet pile wharf.
Research and application of viscosity optimization to reduce pressure drop of single well
Authors: Na Su , Zhi Ma , Yan-mei Xu , Ai-jun Wei , Bo Zhao , Ke-jia Wang , Hui-li Du , Li-li Wei , Ying Liu , Zhong-Hua Shao
Published: September 2020

Due to the long service life and corrosion problems of the pipeline in the fourth oil production plant of Huabei Oilfield, the increase of back pressure will increase the probability of pipeline perforation and lead to potential safety accidents. In view of this problem, based on the analysis of the composition and rheological law of crude oil, according to the scientific and reasonable experimental evaluation method, a new type of viscosity reducer system was developed by using the unique performance of surfactant. The viscosity reducer concentration of this system was 2%, compared with the blank crude oil, the average decrease of the freezing point of the crude oil was 5°C, The viscosity reduction rate is more than 60%, yield value reduction rate is more than 75%, and the low temperature fluidity of crude oil is improved. The expected target has been achieved through the dosing operation of two oil wells on site.
A mixing model for comprehensive evaluation on the removal performance of portable air cleaners
Authors: Yang Rancun , Yin Keke , Xu Peng , Wu Peipei
Published: September 2020

A mixing model based on the indoor air quality obtained from statistics was developed to evaluate the comprehensive removal performance of Portable air cleaners (PACs), which have been inadequate in current research. PM0.3-2.5, formaldehyde, acetaldehyde, acetone, toluene, n-butyl acetate, ethylbenzene, xylene, styrene, and n-undecane were selected as the typical components, and initial concentrations and emission procedure were optimized. The relative standard deviations of repeatability tests were under 10%, which make the model exhibit fairly good reproducibility, stability and reusability, and are considered suitable for the estimation of the comprehensive removal performance of PACs.
Optimization of Frequency Conversion Operation of Solar Coupled Ground Source Heat Pumps System
Authors: Wang Chengshun , Liu Yufeng , Liu Jiaqi , Wang Chen
Published: September 2020

Taking an office building in Qingdao as the research object, the optimal operation of the solar coupled ground source heat pumps system using frequency conversion technology at load side and source side is studied, The possibility of variable flow operation of air conditioning water system and the control strategy of variable frequency pumps are analyzed. The selection of the equipmets is completed based on the hourly load of the office building through the year. Based on the dynamic simulation software, the simulation model of solar coupled ground source heat pumps is established. The results show that the energy saving rate of variable frequency pumps is 53.18%, the energy saving rate of the heat pumps unit is-12.91%, the total energy saving rate of the system is 9.00%, and the annual performance coefficient of the system is 3.86, and the overall energy saving effect is remarkable.
Mechanical properties of frozen mixed soils with different coarse-grained contents
Authors: Xiao Wei , Zhang Chaofeng , Liu Enlong , Yu Yihao , De Zhang
Published: September 2020

For the purpose of investigating the mechanical properties of frozen mixed soils, a series of triaxial compression tests were conducted with the confining pressures ranging from 0.3 to 6.0MPa and coarse-grained contents from 100:0 to 100:80 at the temperature of -6°C. The experimental results indicate that the strength presents an increasing tendency at first and then decreases with increase of confining pressures, whereas appearing to downtrend with increasing coarse-grained contents. And thus the mechanical behaviours are analyzed in detail, including the stress-strain characteristics and strength criterion. Additionally, it is interpreted for the pressure melting phenomenon using the modified Mohr-Coulomb strength criterion. Finally, laboratory investigations demonstrate that different fractions of coarse grains have great influences on the mechanical features of frozen mixed soils.
Analysis on Architectural Aesthetic Dimensions of the Temple of the Dawn Complex
Authors: Wu Tong , Guo Yakun
Published: September 2020

The multi-ethnic indigenous culture, the inclusive Indian religious form and the political concept of the unity of god and king provide the unique aesthetic connotation and humanistic spirit for the development of religious architectural art in Thailand. From the perspective of design aesthetics, this paper intends to analyze the aesthetic dimensions and style characteristics of the Temple of the Dawn Complex, from the three aspects of “Essence”, “Form” and “Content” through field research, combining with literature materials. It explores the cultural symbiosis presented by the diversified features and influencing factors of the decorations in the Temple of the Dawn Complex in Thailand.
Discussion on the heat preservation technology of envelope structure in the energy-saving design of green building
Authors: Chen Li sheng
Published: September 2020

The envelope structure is an important component of building to resist adverse environmental impact, whose performance can directly influence residential and use performance of buildings and affect the living experience of the building to some extent. The higher the comprehensive performance of envelope structure, the lower the comprehensive energy consumption of the building, which is also one of the major reasons why we focus on the study of envelope structure in the design of building energy-saving design. In this paper, it mainly discusses the requirements of green building energy-saving design and the functions of the envelope, as well as analyzes the heat preservation system and technology of the common envelope structure in green energy-saving design, so as to provide some reference for green building design.
Research and Development Trend of Intelligent Monitoring Technology
Authors: Xu Binbin
Published: September 2020

This paper summarizes the research status of intelligent monitoring and early warning technology in China from the aspects of IOT, big data, cloud computing and artificial intelligence. According to the practical application of engineering intelligent monitoring technology, this paper points out that there are some problems in intelligent monitoring and early warning, such as poor reliability of front-end information collection of monitoring equipment, insufficient integration of cloud platform integration application, and immature application of artificial intelligence technology in monitoring. Finally, the development trend of intelligent monitoring and early warning technology is prospected.
Migration characteristics of chloride in concrete of subsea tunnel under pressure
Authors: Chen Lanyun , Li Xiaozhen , Hu Hao , Zhu Fengpan , Lian QuanGang
Published: September 2020

A self-made pressure control device was developed to study the migration characteristics of chloride in concrete under pressure. The effects of water pressure, pressurized time, strength grade, water-binder ratio, chloride diffusion coefficient, saturation degree and solution concentration on chloride migration are determined. Considering with pressure, the theoretical model of velocity varies with time and position is established. The formula of water permeation depth is obtained. On this basis, the chloride migration model under the coupling of pressure permeation and diffusion is established, and compared with the chloride concentration obtained from the experiment.
An underwater vehicle for cleaning dirty bottom of ships
Authors: Zhang Yan , Wang Xiaojuan
Published: September 2020

With the rapid development of Global trade, the freight volume of marine transportation is increasing. In the process of shipping, the part of the hull below the waterline is immersed in the water for a long time, marine organisms will adhere to the bottom of the ship and constantly breed, forming a dirty bottom of the ship, resulting in increased navigation resistance, fuel consumption and other hazards. The work “underwater vehicle for cleaning dirty bottom of ship” can effectively monitor the attachment condition of the bottom of the ship, clean the bottom of the ship quickly and efficiently, and detect the damage of the bottom surface. Compared with the existing cleaning devices, this work realizes remote automatic cleaning operation, and has real-time monitoring function, with high cleaning efficiency and strong adaptability.
Study on early crack resistance of fiber mesh surface reinforced cement mortar
Authors: Cheng Hu , Weng Xingzhong
Published: September 2020

Prevention and control of cement concrete early micro cracks is currently one of the highlights in agro-scientific research of the airport engineering. Early micro cracks are mainly produced in concrete surface mortar layer, so reinforcement effect of fiber mesh with three types and three mesh size was studied by mortar flat test. The results show that cement mortar early crack resistance is greatly improved by fiber mesh. Fiber mesh type and mesh size have a great influence on cement mortar early cracking resistance. Specifically, aramid fiber mesh enhancement effect is better than that of basalt fiber mesh and better than that of carbon fiber mesh. At the same time, 3*3mm basalt fiber mesh enhancement effect is better than that of 5*5mm and is better than that of 10*10mm. Compared with control group, total cracking area per unit area of 5*5mm basalt fiber mesh decreases by 92.5%, and its crack reduction coefficient reaches 66.6%. Considering both cost and enhancement, 5*5mm basalt fiber mesh is recommended for engineering.
Application research of municipal sludge treatment and disposal technology
Authors: Zeng Qian , Tang Nvzhi , Chen Hui , Xiao Rui , Gong Jinghui
Published: September 2020

Municipal sludge treatment and disposal is an important problem that domestic and foreign sewage treatment production must face. To realize the effective treatment for municipal sludge disposal, in this paper, the properties of municipal sludge composition, introduces the present situation of disposal and analysis, as well as the treatment and disposal of municipal sludge technology and its application research is reviewed, providing reference for treatment and disposal of municipal sludge, in order to realize harmlessness, reduction and recycling of waste.
Discussion on Comprehensive Control Technology of Eco-clean Small Watershed in Jiangxi Province
Authors: Lichao Zhang
Published: September 2020

On the basis of summing up the practice of comprehensive treatment of the typical eco-clean small watershed, the advanced concepts of ecological treatment and small water body rehabilitation are introduced, absorbed and transformed simultaneously. In this paper, several techniques for comprehensive control of eco-clean small watershed in soil and water loss area in red soil region of South China are summarized, and the main applicable range and conditions are defined. According to the actual situation of soil and water loss area in Jiangxi Province, the corresponding control technical measures are laid out, and taking establishing the classification system of ecological clean small watershed as bases, the paper put forward the relevant measures according to the principle of “ecological priority, pollution control as the basis, protecting ecology and promoting development”. This study is of great significance to accelerate the comprehensive management of eco-clean small watershed in Jiangxi Province.
Life Prediction of Desert Sand PVA-ECC in Salt Freezing Environment
Authors: Huifang Hou , Min Yan
Published: September 2020

In order to predict the life of Desert Sand PVA-ECC in chloride environment and freeze-thaw cycle coupling, the average influence value (MIV) method was used to screen the input variables of the prediction model. Finally, the fiber volume, fly ash, silica fume and freeze-thaw cycles are selected as input variables, and the “4-13-1” error reverse transmission neural network model with relative dynamic elastic modulus as the output value is established. Finally, the GA-BP neural network is used to predict the life of the specimens which have not been destroyed by 300 freeze-thaw cycles. Finally, the best fiber volume fraction of salt freeze resistant life is 1%. Only after 475 freeze-thaw cycles.
Prediction model of ground vibration based on combined model
Authors: Hong Zhao , Jing Zheng , Fulian Yang , Ming Zhou , Can Xiong
Published: September 2020

The two basic functions of power function and exponential function are used, and the variable weight combination model based on the Lagrange multiplier of the two basic functions is used to predict the surface vibration attenuation. Based on the measured data of the ground surface vibration of viaducts and embankments, a prediction model can be established through a combination model. A better fitting effect can be acquired through this prediction model. The model can obtain better prediction with fewer parameters and can comprehensively reflect the different model information of the two models. Although the amount of data is limited, it can also be obtained. The predictions that are in good agreement with the actual situation are better, the vibration attenuation in the near field is faster, and the vibration attenuation in the far field is slow, which are consistent with the actual situation.
Research on obstacles of BIM Application in Commercial Building Operation and maintenance stage based on Analytic hierarchy process
Authors: Wang Zhefeng , Tian Huijian
Published: September 2020

The COVID-19’s epidemic situation makes the demand of smart city more obvious, and the application of BIM technology will speed up this process. This study takes the obstacles to the application of BIM in the operation and maintenance stage of commercial buildings as the research object, adopts AHP method, constructs the hierarchical relationship of factors, and focuses on the influence and hierarchical relationship of technology, cost, standard, information and other factors on the obstacles of BIM application. The study found that the main factors affecting the application of BIM in the operation and maintenance stage of commercial buildings are application cost and information data. Based on this, this paper puts forward some strategies and suggestions for enterprises to promote the application of BIM technology in the operation and maintenance stage, which provides a reference for promoting the comprehensive and efficient application of BIM in the operation and maintenance stage.
Research on Dynamic Splitting Tensile Mechanical Properties of Carbon Nanofibers Reinforced Concrete
Authors: Wang Zhihang , Xu Jinyu , Nie Liangxue , Xia Wei , Huang Zhe , Meng Xin
Published: September 2020

The dynamic splitting tensile tests of five kinds of concrete with different content of carbon nanofibers were carried out by split Hopkinson pressure bar (SHPB) device. The dynamic splitting tensile mechanical properties of carbon nanofibers reinforced concrete (CNFC) are analyzed in terms of the relationships between the stress-time curve, dynamic splitting tensile strength, dynamic splitting tensile increase factor (DTF) and the content of carbon nanofibers as well as strain rate. The results show that: the dynamic splitting tensile strength of concrete is enhanced by carbon nanofibers; at the same strain rate level, with the increase of the content of carbon nanofibers, the dynamic splitting tensile strength of concrete shows a trend of first increasing and then decreasing; when the content of carbon nanofibers is the same, as the strain rate increases, the dynamic splitting tensile strength of concrete continues to increase.
The Study of Brick and Stone Arch Technology of Traditional Temples in Myanmar
Authors: Yicun PANG
Published: September 2020

With the advancement of the Belt and Road, more deep study of Myanmar and other Southeast Asian countries is becoming urgent and necessary. Under this background, Myanmar, the essential historical area, is also the hub connecting the Belt and Road, as well as the window of the Southeast Asian cities and architectures that we shall study. Its traditional architecture technology is different from masonry structure of India and other Southeast Asian countries. Large space buildings are covered with arch system, which takes brick most and is supplemented by stone. It is original and widely used in Myanmar’s religious buildings.
CFST arch bridge seismic response analysis considering near-fault ground motion pulse characteristics
Authors: Fan Xing , Xiaofeng Li
Published: September 2020

Based on a long-span CFST arch bridge finite element model, nonlinear time-history response analysis is carried out. It is found that the key section of the connection of arch rib and bridge deck is a particular location with larger seismic response. The fling-step type TCU068-E is more liable to excite a greater seismic response at arch rib sections. Through seismic wave dyadic wavelet analysis, the wavelet component in the structure fundamental frequency band is reconstructed to be a new seismic excitation. The results indicate that the low-frequency component of TCU068-E is strong, and larger structural seismic response is generated accordingly.
Application of blockchain and big data technology in the safety information management of architecture employees
Authors: Wei Yinshang , Cui Enwei
Published: September 2020

In the traditional data management of safety information for construction workers, each department independently manages and uploads data. It is difficult to share data and the utilization rate of worker safety information is low. In response to this problem, a safety information management model for construction workers based on blockchain and big data technology is proposed. This model is based on the characteristics of the blockchain to record data, which completely changes the data collection, data processing and analysis, and data storage modes and methods, and records the entire process of safety-related data and information of construction employees during their work. Build a complete personal safety information chain, which truly reflects the safety literacy of employees, and establish a safety quality information storage evaluation system for coal mine employees. This model can provide real and effective safety information for construction safety management and promote personnel matching.
Comparative study of different response spectra based on isolated structures
Authors: Liu Lijun , Zhang Wenfang
Published: September 2020

In order to study the influence of different design response spectra on the internal force of the isolated structure, the response spectra of the “Code for Seismic Design of Buildings” (Abbreviated as SD), the response spectra of “Design Standards for Seismic Isolation of Buildings” (draft for comments)(Abbreviated as ID) and the response spectra based on pseudo acceleration calibration(Abbreviated as PA) are analyzed. Compared with SD response spectra, ID response spectra adopts the (1/T) attenuation mode in the long period, which reduces the value of the earthquake influence coefficient in the long period of the response spectrum. At the same time, there is no overshoot phenomenon in ID response spectra. This paper presents the response spectrum basic on structural elastic displacement. PA response spectra considers the influence of different sites on the long-period structure, and adds the characteristic period corresponding to different sites. The calculation shows that compared with the calculation result of SD response spectra, the floor shear force calculated by ID is reduced, and the reduction ratio is between 31% and 36%. Compared with the floor shear force obtained by using PA response spectra, the reduction ratio is between 19% and 29%.
Evaluation of Seismic Performance of Ancient Timber Structure Based on Incremental Dynamic Analysis
Authors: Luo Shuaijun , Li Tieying , Wang Jianliang , Wang Yifan
Published: September 2020

In order to study the seismic performance of ancient timber structures under different earthquake intensities, this paper uses the finite element software ABAQUS to establish a finite element model. Through the incremental dynamic analysis (IDA) of the model under the action of two-way horizontal earthquake, IDA curves of multiple ground motion records are obtained, and the IDA curves of 16%, 50%, and 84% ratio are calculated. Combined with the earthquake vulnerability theory, the earthquake vulnerability matrix is established to evaluate the seismic resistance of the ancient timber structures. It provides a reference for the future anti-seismic research of ancient buildings, and also provides an effective way for timber structure anti-seismic safety evaluation.
Improving the distribution uniformity of surface hardness of the cured CFRP molniezaschita coating during processing in a microwave field elektromagnitnom
Authors: Zlobina I V
Published: September 2020

In the structural elements of advanced air transport and wind turbines are widely used fiber-reinforced polymer composite materials: carbon and fiberglass. In order to increase the resistance of materials to static electricity and lightning discharges, lightning-proof coatings are included in the structure of the polymer composite materials. In the process of operation, there may be collisions of the plumage and planes of aircraft, as well as large-sized blades of wind turbines with solid objects. Therefore, along with the strength and resistance to high-amplitude low-cycle loads, one of the important characteristics of polymer composite materials that determine their performance properties is hardness. Strength and endurance of polymer composite materials products can be increased by short-term exposure to microwave electromagnetic field. The presence of a built-in metal structure introduces additional uncertainty in the perception of anisotropic polymer composite materials operating loads, as well as in the process of interaction with the electromagnetic field of ultrahigh frequency. The studies of the hardness distribution on the surface of carbon plastics with built-in lightning-proof coatings under different schemes of exposure to microwave electromagnetic field: from the lightning-proof coatings, from the side opposite to the lightning-proof coatings, sequential processing on both sides compared with the starting material. It is found that processing in a microwave electromagnetic field with an energy flux density (17-18) ×104 mW/cm2 for 2 minutes leads to a significant increase in the uniformity of the initial hardness of the surface of the samples.
A probabilistic verification application of random value distribution of defects in rail tracks of industrial facilities
Authors: Sychev V P , Sychev P V , Voronkov I E
Published: September 2020

Currently, the share of railway transport in domestic cargo turnover exceeds 80% (pipeline transport excluded), and the railway transportation service is a significant infrastructure component to construction and operation of energy facilities. The rail tracks state assignment by the recording car is traditionally perceived as a random process, while defects of the railway track are generally accepted as threshold level exceeding, which established by regulatory documents. Within the framework of this study, the verification problem of random value distribution law of recording car instrument reading is raised and resolved. Conclusion is made on the choice practicability of a beta-distribution with preliminary recompounding of Gaussian distributions by the Expectation–maximization algorithm in order to analyze law of rail track defects development, which presented in the random variables form of many non-essential factors involving several significant.
Simulation of drawing-forming by magnetic-pulse deformation
Authors: Kurlaev N V , Ryngach N A , Ahmed Soliman M E
Published: September 2020

One of the main applications of the electromagnetic module of LS-DYNA program is magnetic pulse metals treatment by pressure. Electromagnetic pulse interaction is a method of plastic forming of materials with high-speed deformations. Electromagnetic fields are solved by the finite element method for conductors coupled with the Boundary Element Method for ambient air / insulators. This paper considers theoretical principles and discusses the physical phenomena that occur during the formation of a sheet blank by an electromagnetic pulse. In addition, an example of numerical simulation of electromagnetic forming in the electromagnetic analysis module with the resulting mesh shape of the workpiece without a corrugation defect is given.
A physical model of the interaction of microwave electromagnetic fields with the cured polymeric composite materials with distributed in volume of metal structures
Authors: Zlobina I V
Published: September 2020

The paper shows the results of experimental studies of the short-term effects of microwave electromagnetic field on the physical and mechanical properties of cured polymer composite materials, including distributed in the volume of metal elements such as lightning protection grids and cellular structures. It is stated that as a result of processing in a microwave electromagnetic field with a frequency of 2450 MHz with an energy flux density (EFD) (17-18) ×104 mkW/cm2, the microstructure is modified, which consists in reducing the porosity and pore size in the matrix, reducing the size of agglomerates and increasing their number. The change in the content of the main chemical elements in the contact area “reinforcing fiber-matrix” and “metal structure-matrix” was noted. The main practical result of the impact of microwave electromagnetic field on the final product is a significant increase in static and dynamic strength, including the limit of low-cycle fatigue, modulus of elasticity and crack resistance. This physical model can be used as a basis for mathematical dependencies that allow to predict the strength of the adhesion interaction between the matrix and the filler in the polymer composite materials by calculation, taking into account the density of the microwave energy flow incident on the surface of the cured product and stimulating diffusion processes in the contact zones “matrix-fiber”.
On the features of production, design and reliability assessment of enclosing composite structures with effective thermal insulation
Authors: Bobryashov V M , Bushuev N
Published: September 2020

The article gives priority results on the production, design and assessment of the reliability of composite structures made of materials with energy-saving thermal insulation, physical heterogeneity of the parameters and the adhesion strength of the thermal insulation to the metal finishes. Addresses experimental results of changes in bulk mass, tensile and compressive strength, elastic properties in tension and compression along the thickness of the products perpendicular (⊥) and parallel to (ǁ) the product plane. Establishes the parameters of adhesion to the upper and lower finishes and their probability distributions according to Gauss, Gram-Charles, Pearson, Weibull and the log-normal law. This allows to set the standard values of thermal insulation. The article is aimed at the maximum use in buildings of sandwich panels of full factory production.
Phenomenon of the percolation in composite materials based on a polymer binder with a dispersed filler phase
Authors: Sulaberidze V Sh , Skorniakova E A
Published: September 2020

The paper presents the experimental results of studies of the thermal conductivity and electrical conductivity of composite materials based on dimethylsiloxane SKTN A and carbon black filler. The percolation and their similarity in the processes of heat transfer and electrical conductivity are analyzed. The correspondence of experimentally observed percolation threshold values to theoretical descriptions is discussed.
Fluorine coatings influence on the performance characteristics of flexible bellows
Authors: Amirkhanov E I , Bazhin V Yu , Novikov I A , Logunov V V
Published: September 2020

Currently, the problem of increasing resource, durability and improving technical characteristics is urgent for bellows expansion joints, which are widely used in various branches of technology, such as nuclear power, shipbuilding, mining engineering, etc. This problem can be effectively solved through the use of organofluorine coatings such as epilams, and of appropriate bellows modification technologies. To assess the of such nanocoatings and modification technologies results, the authors of the article develop a physico-mathematical model of bellows expansion joints functioning, based on the analysis of the mechanisms of fatigue failure and wear, such as Rebinder effect and fretting friction. The authors established the relationship between the model parameters and various technologies for bellows expansion joints manufacturing. The developed model makes it possible to evaluate existing and promising technologies for manufacturing bellows expansion joints, as well as to formulate requirements for increasing the bellows expansion joints performance.
Abnormal behavior of the torque in the system of magnetite-maghemite γ – Fe2O3 – Fe3O4
Authors: Urinov Kh O , Amonov A K , Jumanov Kh A , Mujdibaev I Sh , Mamasadikova N M
Published: September 2020

An abnormal behavior of the torque in the magnetite-maghemite system was found when studying the effect of physical composition on the magnetic anisotropy of the γ – Fe2O3 – Fe3O4 solid solution. The object of the study was thin epitaxial layers of oxides deposited on the surface (001) of a magnesium crystal Mg by chemical transport reactions.
Siloxane based lubricating oils
Authors: Burdo G B , Bolotov A N
Published: September 2020

Technological features of the synthesis of the lubricating nano-oil based on polyethylsiloxane are described, and its lubricating properties under various friction conditions are investigated. Recommendations are given on the selection of components for creating a magnetic lubricating nano-oil, which are characterized by various mechanisms to reduce friction and wear of rubbing surfaces. The specific features of the processes of friction of surfaces lubricated with magnetic nano-oil are shown.
OES diagnostic of SF6/Ar gas mixture of ICP discharges for LiNbO3 etching
Authors: Osipov Artem A , Osipov Armenak A , Berezenko Vladimir I , Alexandrov Sergey E
Published: September 2020

The results of a study of the influence of technological parameters of the process of plasma chemical etching in inductively coupled plasma on the emission spectra of fluorine and argon atoms are presented. The effects of inductively coupled plasma RF power, operating pressure and bias voltage were studied for 6 different sulfur hexafluoride argon (SF6/Ar) gas mixtures: SF6 (1.5 sccm)/Ar (9.2 sccm), SF6 (7.8 sccm)/Ar (10.8 sccm), SF6 (4.7 sccm)/Ar (6.0 sccm), SF6 (7.0 sccm)/Ar (4.9 sccm), SF6 (11.7 sccm)/Ar (5.4 sccm), SF6 (9.4 sccm)/Ar (3.3 sccm). It is shown that a decrease in the operating pressure and an increase in the RF power of the inductively coupled plasma leads to an increase in the relative intensity of both argon and fluorine lines. Variations in the bias voltage have no significant effect on the emission intensity of the spectral lines of Ar and F.