Frontiers in Science and Engineering is a monthly online, international, peer-reviewed journal, dedicated to publish empirical, academic, theoretical and review research articles that contribute to the practice in science, engineering, and related topics. All articles published are rigorously and fast reviewed meeting the Journal Quality standards.
Decision-making of Enterprise Greenwashing Behavior Under The Background of Carbon Tariff
Research background: As the EU deals with carbon leakage through carbon tariffs, export enterprises of some countries that do not meet the carbon emission standards face the problem of increasing export costs, so these enterprises have the tendency of "green washing". Therefore, how enterprises make decisions to deal with carbon tariffs and avoid the impact of changes in the terms of trade has become a hot topic. Based on the cost constraints of enterprises in developing countries, the information asymmetry between upstream and downstream enterprises, and the external environment constraints such as government and enterprise regulation and subsidy strategies, enterprises will make different decisions, including "brown enterprise" behavior that only considers economic benefits and "green enterprise" behavior that considers both economic benefits and environmental benefits. The research approach in this paper is based on game-theoretic analysis and adopts the supply chain game model proposed by Pretis (2022) [1]and Dong (2023[2]). This paper mainly discusses the different situations of maximizing the profit of individual enterprise and the profit of the whole supply chain through the game of the manufacturer's cost information advantage and the retailer's market information advantage. Finally, let business and government work together to get business to cancel the green washing practices that have been adopted. Conclusion: Based on the hypothesis that the EU is imposing carbon tariffs on developing countries, the greenwashing behavior of manufacturers and retailers is related to the green investment return rate of enterprises, the cost and rate of return of blockchain technology, and government subsidies.
Greenwash; Blockchain; Government subsidies; Green supply chain.
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The Identification and Resilience Evaluation of urban Water Ecological Resilience in the Huaihe River Basin
Water is the foundation of life, survival, production and ecology. As the carrier of water resources, river basins support human economic and social activities and give birth to diverse civilizations. However, at present, facing problems such as water shortage, uneven distribution, pollution and landscape destruction, water environmental protection is related to the well-being of people. In the new stage of development, the 14th Five-Year Plan emphasizes pollution prevention and ecological protection, and the 20th National Congress of the Communist Party of China also advocates green development and transformation. As a part of the green development strategy, the concept of resilient cities brings new perspectives to the study of aquatic ecosystems. The construction of a water ecological resilience evaluation system can identify the key influencing factors, help researchers propose effective optimization strategies, and provide a basis for decision-making. Taking Bengbu City as an example, this study analyzes the water ecological resilience from 2012 to 2022, and puts forward guidelines and optimization strategies based on the analysis of overall and representative indicators. It aims to improve the planning system of water ecosystems in China and promote the sustainable development of water ecosystems.
Aquatic ecosystems; Resilience evaluation; DPSIR model.
Construction and Characteristic Analysis of the Landscape Gene Map of Traditional Villages in Huanggang City
Traditional villages are a profound condensation of regional landscapes and traditional cultures. From the perspective of landscape genes, selecting, refining, and summarizing the landscape characteristics of traditional villages, and deeply analyzing their landscape features and cultural cores, is an important direction and entry point for studying traditional villages. This paper, based on the concept of landscape genes, takes 49 traditional villages in Huanggang City as the research object, analyzes the landscape characteristics of traditional villages in Huanggang City, and constructs a landscape gene map, providing theoretical and material support for the gene activation, village tourism development, and sustainable development of traditional villages in Huanggang City.
Traditional Villages; Landscape Genes; Map Construction; Characteristic Analysis; Huanggang City.
Application and Practical Analysis of Industrial Meta-Universes
Connecting the digital and real worlds, the Industrial Metaverse will enable the continuous interaction of information, data and decision-making, the Empowering industries to digitally solve extremely complex real-world problems and create huge social benefits. This paper describes the main technologies of industrial meta-universe; through the case of E* industrial meta-universe project, it disassembles and analyses the technical route of industrial meta-universe; in combination with the existing technologies, it puts forward the corresponding improvement suggestions and makes its own thinking.
Industrial meta-universe; Digitalisation; Manufacturing.
Analysis of the Impact of Intelligent Traffic Signals on Reducing Urban Traffic Congestion
Based on the urban traffic congestion problem, this study takes 143 intersections in Haidian District and 289 intersections in Futian District as practical objects, constructs an intelligent traffic signal evaluation index system, and uses multi-source data collection and machine learning analysis methods to quantitatively evaluate the implementation effect of the system. The study finds that the average travel time is reduced by 32.5%, the energy consumption index is decreased by 28.7%, and the annual economic benefit is 4.43 billion yuan. The survey data shows that the public satisfaction rate reaches 87.6%, and the system reliability reaches 99.2%. The evaluation results indicate that the intelligent traffic signal system has significant effects on improving traffic operation efficiency and enhancing social benefits.
Intelligent Traffic Signal; Evaluation Index; Implementation Effect; Social Benefits.
Study on Splitting Intensity and Acoustic Emission Characteristics of Brazilian Deep Gray Sandstone at Different Scales
In order to determine the influence of size on the mechanical properties of sandstone and acoustic emission damage characteristics, the Brazilian splitting test of 6 sandstone samples with diameters of 25mm, 37mm, 50mm, 69mm, 80mm and 100mm was carried out by using the rock weak surface direct shear instrument and acoustic emission monitoring system The effects of size change on the splitting strength, deformation, acoustic emission activity and damage characteristics of rock samples are discussed. The results show that the larger the specimen size is, the more original defects are contained in the specimen, which has a great influence on the development trend of stress-strain curve, peak strength and peak strain during loading. With the increase of sample size, the peak strength and peak strain become smaller and smaller, and the ratio of peak compressive strain to peak tensile strain remains in the range of 2~4 times. According to the development characteristics of acoustic emission signals, the whole process of rock damage is divided into four stages: micro-crack compaction stage, new crack generation and expansion stage, crack rapid expansion stage and failure stage. The diameter sample of 69mm~100mm showed almost no AE signal at the beginning of test loading, and the activity of acoustic emission signal is intense at the moment of failure.The larger the specimen size, the larger the stress value and b value corresponding to the fracture entering the instability expansion stage. Tensile microcracks are the main types of cracks in the splitting test, and with the increase of the size, the shear microcracks gradually decrease, and the tensile microcracks increase.
Sandstone; Size change; Mechanical properties; Acoustic emission.
Analysis of Factors Influencing Music Popularity and Trend Prediction
With the rapid development of digital technology and the internet, the music industry is undergoing unprecedented changes. This paper takes Alibaba Music as an example to deeply analyze the key factors affecting music popularity and constructs a prediction model for music trends. Through literature review, the research status and influencing factors of music trends are sorted out. A detailed case study of Alibaba Music's development, user behavior, and recommendation algorithms reveals the impact of user behavior patterns and recommendation algorithms on music popularity. This paper uses time series analysis and machine learning techniques to build a music trend prediction model, which is verified with actual data. The results show that user behavior, recommendation algorithms, and socio-cultural factors are the main factors affecting music popularity, and the prediction model can effectively predict music trends. The paper summarizes the research findings, points out the limitations of the study, and proposes suggestions for the future development of the music industry.
Music Popularity Trends, Alibaba Music, User Behavior Analysis, Recommendation Algorithms, Prediction Model.
Critical Thought Pattern Differences and Problem-Solving Approaches in Communication between People from the US and Japan
Effective communication between individuals from the United States and Japan can be particularly challenging due to the profound cultural differences that influence their critical thought patterns and problem-solving approaches. These differences manifest in various ways, including contrasting perspectives on individualism versus collectivism, egalitarianism versus hierarchy, directness versus indirectness, and linear versus holistic thinking styles. In interactions between Americans and Japanese, these cultural disparities can lead to misunderstandings, misinterpretations, and communication barriers. To address these challenges, it is crucial to develop an understanding of the underlying cultural factors that shape communication styles in both cultures. This article delves into these cultural differences, highlighting how they impact formal and informal communication settings. Furthermore, we discuss practical strategies and techniques that can be employed to bridge these gaps, facilitate better understanding, and enhance the effectiveness of cross-cultural communication between individuals from the United States and Japan. By recognizing and addressing these cultural nuances, we can foster more harmonious and productive interactions across these two distinct cultural contexts.
Thought patterns; Problem-solving approaches; Communication; Cultural differences.
Research on the Optimization of Cold Chain Logistics Distribution Path Considering Carbon Emissions
With the proposal of the "double-carbon" development goal, all walks of life are actively implementing the national green and low-carbon development requirements. As an important branch of the logistics industry, cold chain logistics is also a key area to achieve the goal of "double carbon". If the concept of low carbon is introduced into cold chain logistics and the distribution route is rationally planned, it can not only reduce logistics costs, but also reduce carbon emissions. Therefore, the minimization of the total distribution cost is taken as the optimization goal, Under the constraints of vehicle load and time window, the cold chain logistics distribution path optimization model is constructed with the goal of minimizing the total distribution cost. Then designed the genetic algorithm to solve, respectively from considering carbon emissions and carbon emissions two cases planning distribution route, and optimization before single temperature distribution scheme comparative analysis, the results show that the carbon emissions considering the cold chain distribution path optimization, and choose cold storage incubator type in distribution mode, not only can reduce the enterprise distribution cost, improve the distribution efficiency of distribution, but also can reduce the carbon emissions.
Cold chain logistics, path optimization, carbon emission, genetic algorithm, multi-temperature co-allocation.
Addressing Plastic Pollution: Research on Sustainable Practices and Strategies in the Consumer Goods Industry Supply Chain
Research Background: The consumer goods industry faces a significant sustainability challenge due to the environmental and social impacts of plastic pollution, particularly from single-use plastics. This essay addresses the current situation and the difficulty in implementing sustainability commitments within the industry. Research Objectives: The essay aims to propose solutions for sustainable supply chain management that balance economic, social, and environmental concerns, and to extend these solutions to other industries. Research Methods: The essay identifies the main sustainability issues, analyzes the problems, and proposes solutions based on the sustainable supply chain concept. Data from literature and expert opinions are synthesized to support the arguments. Conclusion: The essay establishes that the use of innovative packaging design, material optimization, and improved recycling systems are crucial for mitigating plastic pollution. It also emphasizes the importance of stakeholder collaboration and government intervention. The proposed solutions are not only applicable to the consumer goods industry but can be generalized to other sectors, highlighting the need for a unified approach to achieve sustainable development.
Sustainable Operations, Supply Chain Management, Plastic Pollution, Consumer Goods Industry, Innovative Packaging, Recycling Systems, Stakeholder Collaboration, Government Intervention, Sustainable Development.
The Path of Digital Economy Enabling Rural Tourism and Increasing Farmers' Income: A Case Study of Hongcun Village in Mount Huangshan
Against the backdrop of rural revitalization, the development of the digital economy is becoming increasingly intense, providing new tourism formats and models for the high-quality development of rural tourism. This paper takes Hongcun Town, Mount Huangshan, Anhui Province as the research site, and adopts online and offline analysis methods, such as swot.This article analyzes the problems and causes of the development of rural tourism economy in Hongcun Town, and proposes countermeasures and suggestions to promote the optimization and development of rural tourism economy.The research believes that there are multiple contradictions in Mount Huangshan Hongcun Village at present, and it needs to start and develop in three ways in the future: first, enrich the tourism+model, create new growth points, second, intelligentize the digital countryside, improve the efficiency of rural governance, third, diversify tourism formats, improve tourism experience, drive farmers' income, and promote high-quality tourism development.
Rural revitalization, Tourism industry, SWOT analysis.
Research on Ship Trajectory under Multi source Spatiotemporal Data
To explore the application of multi-source spatiotemporal data fusion technology in ship trajectory analysis, this study develops a fusion algorithm that integrates Kalman filtering and Bayesian estimation. Through the fusion of multi-source data, the positional accuracy of the trajectories is significantly improved, with experimental results showing that the average error is reduced from 58 meters to 23 meters. The results demonstrate that the proposed algorithm effectively enhances the accuracy and reliability of vessel monitoring, which is of great significance for maritime traffic safety.
Multi source data fusion, Ship trajectory analysis,Kalman filter, Bayesian estimation.
Design and Manufacture of Intelligent Filter Processing System of Modular Cutting Fluid
For the needs of ecological protection and high-quality development in the Yellow River Basin, the project plans to design and produce the intelligent filtration treatment system of modular cutting fluid, which is caused by the massive application of cutting wastewater and the improper treatment will cause serious damage to the environment. Through the study of the action mechanism of semiconductor inorganic film on cutting liquid, the development and application verification of cutting liquid filtration system and the development of cutting liquid online monitoring system, a complete set of semiconductor inorganic film high strength toughness steel cutting liquid filtration technology and equipment is formed, providing technical support for green, high efficiency, energy saving and environmental protection cutting fluid treatment. To solve the problem of improper treatment of cutting waste liquid after the processing process of deep hole parts of high strength and toughness steel. Keywords: modularization, online detection, semiconductor inorganic film.
Modularization, Online detection, Intelligent filtering.
Molecular Mechanisms and Application Prospects for Breeding for Drought Tolerance in Maize
As a crop of critical global significance, maize requires substantial water throughout its growth cycle. However, with climate change intensifying and water resources becoming increasingly scarce, drought has emerged as a primary limitation on maize productivity. By delving into the molecular underpinnings of drought resistance in maize, researchers have pinpointed an array of drought-resilience genes, transcriptional regulators, and signal transduction pathways, offering a valuable genetic reservoir for enhancing maize’s drought resistance. Advanced molecular tools, including genome editing and marker-assisted selection, have streamlined the targeted optimization and transference of drought-resistance genes, thereby significantly strengthening drought resilience in maize varieties. This paper reviews the intricate molecular bases of drought tolerance and the regulatory frameworks surrounding essential genes in maize, while discussing the future potential of molecular breeding strategies tailored to enhance drought tolerance. Ultimately, this study aims to furnish both a theoretical foundation and technical guidance for advancing drought-resistant maize breeding initiatives.
Maize, Drought tolerance, Molecular mechanism, Gene regulation, Breeding technology, Molecular marker-assisted selection, Gene editing.
Research on Ship Manning Data Visualization
In order to improve the efficiency of ship manning management and ensure the operational efficiency, safety, and stability of the shipping industry, this paper designs and implements a ship manning data visualization platform based on knowledge and analysis of ship information and manning management. The platform adopts a front-end and back-end separated software development mode, with the front-end using the Vue progressive framework to build user interfaces and the back-end utilizing the Flask lightweight web framework. Data storage and management are implemented using the MySQL database, combined with PyMySQL and Flask-SQLAlchemy for data read and write operations. The platform intuitively displays and manages data related to ship manning, enabling ship managers, crew members, and other relevant personnel to effectively manage and utilize this data, provide decision-making support, and optimize ship manning management.
Ship manning management, Front-end and back-end separation, Flask web, Vue, ECharts, Axios, MySQL.
Research on the Application of Maize Genome Editing Technology in High-yield Breeding
With the continuous growth of global population, there is an increasing demand for high-yield crops, and how to improve the yield of maize, as an important food and feed crop, has become one of the important directions of agricultural research. Although traditional breeding techniques have made progress in improving high-yield traits in maize, their long cycle time and low efficiency make it difficult to meet the rapidly growing production demand. The emergence of genome editing technologies, especially the CRISPR/Cas9 system, has brought new opportunities for maize high-yield breeding. This paper systematically reviews the application of genome editing technology in maize breeding, focusing on the methods of target gene screening, optimization of editing tools and evaluation of high-yield traits, and describes the research results of the current technology in enhancing maize yield. The potential application value of novel editing tools in the maize genome editing process in future efficient breeding was analyzed. This study provides theoretical support and technical guidance for the use of genome editing technology to realize the precise improvement of high-yield traits in maize.
Maize, High-yield breeding, Genome editing, CRISPR/Cas9, Target gene, Agricultural biotechnology.
Research on Fuzzy PID Compliant Grinding Control Based on DBO Algorithm Optimization
In order to achieve the requirements of high precision, fast response and low overshoot in the robot grinding process. An active compliant actuator at the end of the robot is designed, and a fuzzy PID constant force control method based on dung beetle optimizer (DBO) optimization is proposed. The force and gas flow model of the compliant actuator are analyzed, and the mathematical model of the actuator is established. On the basis of fuzzy PID algorithm, the fuzzy PID parameters optimized by DBO algorithm are adopted. The simulation system model is established by MATLAB, and the performance of PID control, fuzzy PID control and fuzzy PID control method optimized by DBO algorithm is compared. The simulation results show that the fuzzy PID control based on DBO algorithm has faster response speed, reaches stability in 0.5s, no overshoot, and the system is more stable.
Grinding, Compliance control, Fuzzy PID, Dung beetle optimizer.
Field Measurement and Climate Adaptability Study of Stilt House Environment in Langde Area of Southeast Guizhou
Stilt house is a traditional wooden-framed dwelling in Qiandongnan, Guizhou. This paper analyzes the advantages and disadvantages of the summer and winter climate adaptability of stilt house, provides important guiding data for building a regional dwelling construction system that adapts to the climate, and is an important basic research on the optimization strategy of the regional dwelling design and construction system. The study conducted continuous indoor and outdoor physical environment comparison tests in winter and summer on the stilt house dwellings in Langde area, and analyzed and summarized some design and construction strategies of the regional dwelling construction system through data measurement and questionnaire survey methods. The research results show that stilt house dwellings have great potential for indoor climate regulation and adaptability at the material and space organization level. It is hoped that the influencing factors of the components can be refined and translated and followed the ventilation space organization structure to improve the comfort of the indoor space.
Traditional dwellings, Performance measurements, Climate responsive.
Research on Control Strategy of Distributed Articulated Robot Based on Vehicle-arm Coordination
In order to improve the steering ability of articulated mobile robot, an articulated robot equipped with encoder telescopic rod and distributed electric wheel is designed. The rationality of the structure is verified by finite element simulation. The dynamic modeling of the robot is carried out by Newton-Euler method, and a steering control strategy is proposed. Based on Adams / Simulink joint simulation, the steering control strategy model is built and the simulation experiment is carried out. The motion of the articulated mobile robot under various working conditions is analyzed. The lateral displacement of the rear body is greatly reduced, which effectively avoids the occurrence of ' tail flick '. The physical experiment shows that the turning radius and turning time of the articulated mobile robot under the steering control strategy are better, which can effectively improve the steering ability of the robot.
Mobile robot; Distributed drive; Steering attitude control; Arm coordination.
Zigbee Based Monitoring System for Shiitake Mushroom Growing Environment
In response to the complex terrain and climate, the wide distribution of shiitake mushroom greenhouses, and the difficulty in collecting data in Qingyuan, China Mushroom City, and considering the difficulty of wiring in cultivation bases, a zigbee based monitoring system for shiitake mushroom growing environment was designed. Combined with the advantages of Internet of Things technology, multi-sensor technology, computer processing technology, it can precisely measure and record environmental factors data in mushroom growing greenhouses, providing monitoring conditions for precise cultivation strategies of shiitake mushroom and effectively improving the intelligent and precise production process of edible mushroom factories.
Shiitake Mushroom; Environmental Factor; Monitoring System.
A Review of SLAM Research on Mobile Robot Vision
Simultaneous Localization and Mapping (SLAM) refers to the process of constructing an unknown environmental map while locating the position of an intelligent agent. In recent years, visual sensors have shown significant performance, accuracy, and efficiency in simultaneous localization and mapping systems. The main purpose of this paper is to introduce the progress of visual SLAM systems, introduce representative classic visual SLAM methods and multi-sensor fusion methods, summarize some of the problems existing in the visual SLAM system discussed in the article, and finally explore the hot research directions and development prospects of visual SLAM in the future.
Visual SLAM, Feature extraction, Multi-sensor fusion.
Research on Low-Carbon Retrofitting Technology for Existing Rural Buildings in Southern Henan Based on DeST
The development of low-carbon technology in urban construction is rapid, whereas in rural and other economically underdeveloped areas, the development of low-carbon buildings is relatively lagging behind. Achieving the low-carbon retrofitting of rural buildings is crucial for reaching the "dual carbon" strategic goals. This study conducted an in-depth investigation into the current situation, energy consumption levels, and factors affecting carbon emissions of rural buildings in Nanyang City. Using DeST simulation software, the energy consumption of a rural building in Wolong District of Nanyang City was simulated and analyzed, examining the impact of factors such as building exterior walls, roofs, external windows, orientation, and window-to-wall ratio on building energy efficiency.
Rural buildings; Energy efficiency improvement; Low-carbon technology; Energy consumption simulation.
Review of Defect Detection Methods for Thin-Walled Parts Based on Point Cloud Data Processing
Thin-walled parts are widely used in various fields of industrial production, but their inherent characteristics, such as low stiffness and susceptibility to deformation, make them prone to various defects during use. Thin-walled covering parts, which serve as thin shells or covers to protect other components, are extensively utilized in aerospace, automotive, and shipbuilding industries. The condition of these parts is directly related to the structural integrity, performance stability, and operational safety of the associated components and equipment. Due to their direct exposure to external environments, thin-walled covering parts are vulnerable to damage. Traditional defect detection methods, such as manual visual inspection and 2D imaging, have limitations in addressing these challenges. To improve the speed and accuracy of damage detection in thin-walled covering parts, this paper proposes a defect detection method based on point cloud data processing. This approach involves collecting point cloud data of the thin-walled parts, applying preprocessing techniques to remove noise, and utilizing feature extraction and machine learning algorithms to achieve automatic detection and classification of defects. The research results demonstrate that this method offers high accuracy and efficiency, effectively meeting the quality inspection needs for thin-walled parts in industrial production.
Point Cloud Data Processing; Thin-Walled Parts; Defect Detection; Machine Learning.
Research on Anomaly Detection of Ship Behavior Based on Data Mining
With the increase in the number of ships and the intensifying maritime traffic, maritime accidents such as ship collisions and grounding occur frequently, posing serious threats to people's lives and property. Therefore, timely detection and correction of abnormal ship behaviors are of great significance for improving navigation safety. The Automatic Identification System (AIS) can provide real-time information on ships' positions, speeds, headings, and more, offering a rich data resource for data mining. Through the analysis of these data, it is possible to deeply explore the navigation patterns and characteristics of abnormal behaviors of ships. This paper applies data mining technology to the detection of abnormal ship behaviors, which not only improves the accuracy and efficiency of detection but also provides maritime regulatory authorities with richer decision-making support.
Data Mining, Hive Data Warehouse, AIS Data, Analysis Of Abnormal Ship Behavior.
Arbitral Settlement of Joint Infringement by Private Equity Funds
Based on the confidentiality and efficiency of arbitration, the dispute resolution method is often agreed as arbitration in the contracts involving private equity funds. The investment process of private equity funds often involves multi-layer nesting to avoid regulation and infringement of investors' rights and interests. Such infringement cases involve joint infringement by a majority of people, and it is difficult for investors to claim their rights through infringement lawsuits based on the exclusionary effect of a valid arbitration agreement on jurisdiction in the event that investors have signed a valid arbitration agreement. Due to the relativity of the arbitration agreement, the arbitral tribunal cannot break through the validity of the arbitration agreement to pursue the liability of other joint infringers when accepting the relevant case, and cannot resolve the dispute at once. If the validity of the arbitration agreement can be extended to other joint tortfeasors in the private equity fund, it will not only facilitate the investors to claim their rights and interests, but also improve the efficiency of dispute resolution.
Private Equity Disputes; Joint Infringement; Expansion of Arbitration Agreements.
Research on Wastewaterr Reuse Technology in Expressway Service Areas
This article analyzes the literature and data on reclaimed water research in expressway service areas in recent years. Based on the characteristics of wastewater in service areas and the problems in the treatment process, a comprehensive analysis is conducted on the existing technologies for reclaimed water reuse technology in expressway service areas. It is found that research on carbon emissions from wastewater treatment in service areas and the practical application of new green technologies in expressway service areas should be strengthened.
Expressway service area; Reclaimed water; Wastewater treatment; Reuse technology; Carbon emission.
Numerical Simulation of Mechanical Properties of Deep Gray Sandstone with Holes and Radial Cracks
In order to study the effects of prefabricated pore-fracture on the mechanical properties, crack extension and energy evolution of rocks under uniaxial compression, the effects of rock samples containing pore-fracture deep grey sandstone on the mechanical properties, crack extension and energy evolution of rocks were analysed in detail through the indoor experimental inverse performance of the fine-scale mechanical parameters of the PFC3D model. The results show that the mechanical parameters of deep grey sandstone samples with pore fissures are significantly lower than those of intact samples, and the decrease is closely related to the diameter of the pore as well as the length and width of the fissure, with the increase of the diameter of the pore, the peak strength and the peak strain of deep grey sandstone with single pore are in the trend of attenuation, and the mechanical parameters of deep grey sandstone samples with pore fissures of different lengths and widths are in the trend of attenuation with the increase of fissure widths and lengths of different layers. The mechanical parameters of deep grey sandstone samples with different lengths and widths of fissures show a trend of attenuation with the increase of fissure width and length; based on the analysis of microscopic crack characteristics during loading of deep grey sandstone with pore fissures, it is concluded that the cracks produced by deep grey sandstone samples with pore fissures are mainly distributed at the two ends of the samples, and the middle area has fewer cracks and the number of the cracks produced shows a trend of attenuation with the increase in the diameter of the pore as well as the length and width of the fissure; Based on the energy evolution mechanism, it is concluded that as the pore size of the rock sample increases, the strain node at which the dissipated energy begins to appear becomes progressively earlier, the energy storage capacity of the rock appears to be drastically reduced, and the internal damage becomes more and more severe.
Dark grey sandstone; Pore fissures; Microscopic cracks; Energy evolution.
Electric Structure and Thermoelectric Performance in Cs2O Crystal
In this work, first principles DFT calculations has been employed with anharmonic phonon scatter theory and Boltzmann transport method to perform a exhaustive study on the thermoelectric properties as electronic and phonon transport of layered Cs2O crystal. The results indicate that Cs2O crystal represents a flat-and-dispersive type band structure, which returns a high power factor. In the other hand, low lattice thermal conductivity is discovered in Cs2O semiconductor, combined with its high power factor, the Cs2O crystal is considered a promising thermoelectric material. It is demonstrated that p-type Cs2O could be optimized to exhibit outstanding thermoelectric performance with a maximum ZT value of 0.71 at 500K. Explored by density functional theory calculations, the high ZT value is due to its high Seebeck coefficient S, high electrical conductivity , and low lattice thermal conductivity .
Seebeck coefficient, DFT calculations, Boltzmann transport method, ZT.
Test of Mechanical Properties of Composite Recycled Concrete After Medium and High Temperature
Compressive strength is one of the important indexes to test the mechanical properties of concrete. The compressive strength of recycled composite concrete after high temperature is studied by single factor experimental analysis and double factor experimental analysis. Combined with variance analysis, the influence of replacement rate of recycled aggregate, volume incorporation amount of polypropylene fiber and volume incorporation amount of nani CaCO3 on compressive strength of recycled concrete after high temperature was systematically studied. The results show that when the replacement rate of recycled aggregate is 50%, the volume incorporation amount of polypropylene fiber is 0.08%, and nani CaCO3 is 1.2%, the compressive strength of composite recycled concrete reaches the maximum value. Nano CaCO3 is the most significant factor affecting the compressive strength of recycled concrete after high temperature. The significant influencing factors are the incorporation amount of polypropylene fiber and the replacement rate of recycled aggregate.
Composite material, medium and high temperature, recycled concrete, single factor analysis, double factor analysis.
Overview of Key Technologies for Wind Energy Applications
Due to the pursuit of economic benefits and the development and damage to the environment, the need to develop new energy sources is increasing day by day. as one of the earliest and most mature new energy generation methods, wind power has received much attention. However, wind power generation system is constrained seriously by the environment because of the random fluctuation of wind power itself. It is easy to cause problems such as low power generation efficiency and fast device loss due to the influence of wind instability. At the same time, it is difficult to store and connect electric energy to the electricity grid.
Wind power generation system; Randomness of wind energy; The volatility of wind; storage and grid connection.