Abstract:Currently,fiber-reinforced concrete(FRC)has been widely applied in the field of tunnel linings.This study therefore conducts an in-depth analysis of the structural performance of FRC and traditional reinforced concrete(RC)tunnel linings.Full-scale tests were conducted on equally sized FRC and RC tunnel lining specimens to determine their mechanical behavior and failure mechanisms.The results show that,compared with RC specimens,FRC specimens have a higher bearing capacity at the yield point.This proves that FRC has better bearing capacity and durability and can be used in many practical engineering applications.

Abstract:A three-dimensional dynamic simulation of the temperature field and metal plastic flow in the friction stir welding of 5A06 aluminum alloy was carried out using the finite element software SYSWELD,and the distributions of the transient temperature field and metal plastic flow behavior were obtained.The transient temperature fields show that high temperatures occur near the shoulder of the stirring head,with a maximum temperature of about 415℃in the quasi-stable state.This is lower than the 5A06 aluminum alloy's melting point of 550℃,and can help to avoid some defects in traditional fusion welding.The temperature on the advancing side is generally higher than on the receding side,mainly due to the advancing side absorbing more frictional heat and heat of deformation.The temperature calculation results are in good agreement with the temperature measurement test results.The metal plastic flow distribution shows that the material across the weld exhibits different flow characteristics.The material in contact with the triangular,fan-shaped stirring pin varies greatly at the corners because the triangular sector on the stirring pin can cause an instantaneous cavity in the weld seam during welding.It provides an important reference for exploring and revealing the plastic rheological mechanism of the FSW weld metal.

Abstract:Landscape narrative is a method that applies narrative theory to landscape design.It incorporates cultural connotations and historical memories by organizing landscape elements and spatial narratives.Systematic research on domestic landscape narrative contributes to the development of its theoretical framework.Using the bibliometric method,a visual analysis was conducted on 235 pieces of literature collected from the China National Knowledge Infrastructure(CNKI)between 2007 and 2024.The study found that cooperation among authors and institutions is relatively low,that no fixed academic factions have formed yet,and the influence of academic achievements remains relatively limited.Research hotspots focus on areas such as landscape design,rural revitalization,tourism development and the protection of folk customs and cultural heritage.This paper summarizes the research progress and shortcomings of domestic landscape narrative studies using bibliometric tools,and looks ahead to future research directions and practices,aiming to provide theoretical references for subsequent research in this field.

Abstract:In response to the current inadequacies in urban waterlogging prevention and control design methods and risk response capabilities,this study takes Zhengzhou City as an example and utilizes a hydraulic model platform to evaluate the waterlogging risk control capabilities of different waterlogging prevention and control measure systems,including drainage pipes and channels,detention basins,and drainage pumping stations.The results indicate that the hydraulic model enables dynamic analysis of waterlogging prevention and control measures,enhancing evaluation accuracy and providing effective data support for determining the effectiveness of schemes.Compared to the separate installation of detention facilities or pumping stations,the installation of combined storage and drainage facilities in low-lying areas at the end and middle sections of the system can more effectively control the degree of waterlogging risk during rainfall processes,achieving more optimized waterlogging prevention and control outcomes.

Abstract:In recent times,there has been a considerable increase in the utilization of lithium-ion batteries(LIBs)within the domain of electric vehicles(EVs).In addressing the issue of low metal selectivity in the recycling of spent LIBs,this study proposes an extraction system based on an ionic liquid.The selection of 1-ethyl-3-methylimidazolium perchlorate([EMIm][ClO4])as the leaching agent has been demonstrated to facilitate the efficient recovery of lithium and iron from lithium iron phosphate(LiFePO4).The experimental findings demonstrate that,under conditions of pH=2.00,an acid-to-ore(A/O)ratio of 1∶1,and a volume ratio of[EMIm][ClO4]to tributyl phosphate(TBP)of 3∶7,the leaching rate of lithium can reach 95.04%,and that of iron can reach 92.49%.Through precipitation combined with sulfuric acid stripping,the ionic liquid is regenerated and can be reused.Following the completion of five cycles,the leaching rates continue to exceed 90%.In comparison with conventional acid leaching methodologies,this approach offers certain advantages,including high selectivity,environmental sustainability,and recyclability.Consequently,it provides a novel perspective for the green recycling of spent lithium iron phosphate batteries.

Abstract:To investigate the active ingredient contents,antioxidant,antibacterial,and hypolipidemic activities of phenolic compounds from burdock root,crude extract(CE)was obtained using 60％ ethanol extraction.This was purified with AB-8 macroporous resin to yield F60,followed by further purification using D101 macroporous resin with 20％,40％,and 60％ethanol gradient elution to obtain F60-20,F60-40,and F60-60,respectively.Spectrophotometric methods determined the contents of total phenolics,total tannins,total flavonoids,and total phenolic acids.Antioxidant activity was evaluated through free radical scavenging(DPPH,ABTS+)and metal ion reduction(molybdenum,copper)assays.Antibacterial activity was assessed via microplate dilution method,while hypolipidemic activity was evaluated by lipase inhibition analysis.Experimental results indicated that F60-60 and F60-40 exhibited higher levels of total phenolics,tannins,flavonoids,and phenolic acids among all samples.These fractions demonstrated effective DPPH and ABTS+radical scavenging capacities,significant molybdenum/copper ion reduction capabilities,and notable lipase inhibition activity.CE showed inhibitory effects against Listeria monocytogenes;F60,F60-20,and F60-60 against Salmonella;and F60-40 against Bacillus cereus.

Abstract:In the context of accelerated urbanization,pipe jacking engineering has emerged as a pivotal trenchless underground pipeline laying technology in the construction of urban underground infrastructure.However,traditional guiding methods encounter issues of insufficient accuracy and low efficiency in complex working conditions such as small diameters,long distances,large elevations,and large curvatures.In order to address the aforementioned issues,this paper proposes an error compensation method for a dual fiber optic gyroscope(FOG)navigation system based on a backpropagation(BP)neural network,and its validity is verified through simulation tests and experiments.The system framework,key components,and software-hardware architecture are designed.A range of optimization strategies are proposed,including signal processing optimization,elevation compensation algorithms,and curvature adaptive adjustments.These strategies are designed to enhance system adaptability and stability under long-distance,large-elevation,and high-curvature conditions.The experimental results demonstrate that the system exhibits high precision and rapid response in basic performance tests,with guidance accuracy controlled within an error range of±0.05％.The efficacy of the optimization strategies in enhancing guidance accuracy in complex scenarios is well-documented.The efficacy of the system's continuous monitoring and self-calibration mechanisms is further validated by the results of long-term stability tests.

Abstract:This study proposes a multi-form and multi-characteristic load model for virtual power plants(VPPs),utilizing the full potential of user-side electrical and thermal flexible loads.The proposal entails the implementation of an economic dispatch model that incorporates a carbon trading mechanism.This mechanism is designed to reduce carbon emissions by means of optimal dispatch strategies.The model's functionality encompasses the generation of carbon transaction revenues,thereby enhancing system's economic efficiency.The findings of the analysis demonstrate that this model exhibits a substantial enhancement in performance when compared with conventional independent electro-thermal dispatch modes with regard to system-coupled dispatch.The system has been shown to optimize electro-thermal load curves by implementing techniques such as peak shaving and valley filling through load curtailment or shifting.Furthermore,in a multitude of scenarios,the integration of flexible loads and their synergistic effects among components substantially reduce the operating costs of integrated energy systems,thereby achieving the objective of economic dispatch for VPPs.

Abstract:This paper proposes a novel framework integrating building information modelling (BIM) to enhance safety evaluation at construction sites.The utilization of BIM technology as the fundamental element enables the creation of a tri-dimensional virtual representation of the construction environment.The integration of unstructured data collected from real-time site monitoring facilitates the formulation of a comprehensive evaluation index system.The analytic hierarchy process (AHP) is employed to determine index weights,which are subsequently embedded into an evaluation function.In order to enhance the precision of the evaluation process and reduce error margins,a back propagation neural network(BPNN)is implemented for the training and optimization of the evaluation model.Empirical results demonstrate that the proposed methodology achieves an error margin of less than 0.02 compared to actual site conditions,with the entire evaluation process completed in 2.4 seconds.These findings provide validation for the effectiveness of the BIM-driven evaluation framework in providing accurate and efficient safety assessments for construction sites.

Abstract:Through scenario analysis of digital RMB applications in metro travel,this study examines the background and significance of integrated development between smart metro platforms and digital RMB platforms.Leveraging the digital and decentralized characteristics of digital RMB,the study enables more efficient,convenient,and secure payment methods on smart metro platforms while providing more accurate data sources for rail transit systems.Concurrently,it provides more accurate data sources for rail transit systems,which can promote financial innovation in the rail transit sector,thus creating a smarter,more efficient transportation environment in Xuzhou.

Abstract:Focusing on the arch rib construction of the 170-meter Hongkou Bridge,this study examines the technological distinctions between single-truss lifting and integral lifting methodologies through numerical simulation and comparative cable tension analysis.The findings indicate that:the integral lifting method necessitates high-precision three-dimensional pre-assembly on land,thereby reducing high-altitude operation risks yet increasing load demands on the suspension system;the suspension cable system design must integrate composite factors including slack effects,wind-induced vibrations,uneven load distributions,and dynamic impacts,ensuring a safety factor above 2.5,In order to enhance safety margins;numerical simulations should incorporate environmental variables such as ambient temperature,wind velocity,and cable angle variations.

Abstract:Based on the engineering experience of river water pollution causes and water pollution measures,a step-by-step restoration technology system integrating "reduction,purification and restoration" is proposed.A case study of the Y River water quality enhancement project demonstrates the technology's effectiveness.The water quality was systematically improved from below the national Class Ⅴ surface water standard to stable compliance with Class Ⅳ standards.This outcome is significant as it indicates a substantial enhancement in water quality and the establishment of a sustainable model for the recovery of urban aquatic ecosystems.

Abstract:This paper proposes a multi-objective performance optimization scheme for a self-designed permanent magnet synchronous motor(PMSM)with a view to addressing issues of large cogging torque ripple and poor back EMF waveform.The thickness of magnetic steel,the height of the V-shaped structure in the magnetic slot,the pole arc angle of the magnetic slot,and the length of the magnetic steel were selected as the parameters for optimization in order to construct a four-factor optimization design scheme.The scheme employs the orthogonal experiment method,combined with MATLAB software,Maxwell post-processing tools,and motor performance scatter plots,to determine the optimal parameter combination.The analysis encompassed efficiency,load kinetic energy,losses,and no-load characteristics.In both low-speed and high-speed conditions,the motor exhibited a substantial enhancement in output torque,a reduction in iron and copper losses,and effective heat dissipation,thereby ensuring prolonged operational stability.In both low-speed and high-speed peak conditions,while there was an increase in windage,iron,and copper losses,the motor was still able to meet short-term operational requirements through the implementation of water-cooling measures.A comparative analysis of motor performance before and after optimization revealed that the optimized motor achieved an efficiency of over 93.5％within a speed range of 3 000～7 000 r/min,representing a 3.3％ increase in peak efficiency compared to the pre-optimized design.Furthermore,the motors maximum output power exceeded 55 kW within the same speed range,representing a 3.5％improvement over the original design.

Abstract:This paper proposes a psychological counseling model based on a multi-head attention network.The objective of this model is to address the incongruity between the paucity of psychological teachers in universities and the mounting demand for psychological counseling among university students,thereby enhancing the efficacy of psychological education in universities.The model first constructs a multi-layer attention network in order to capture semantic features and dependency relationships in dialogue texts.Subsequently,a response generation network based on a recurrent neural network(RNN)is developed to produce candidate responses from multi-semantic features.Consequently,an adaptive selection network has been constructed for the purpose of filtering and returning the most appropriate response to users.The experimental findings,derived from two substantial dialogue datasets,substantiate that the proposed model enhances the precision and reliability of counseling.

Abstract:The study employs a combination of historical building information modeling(HBIM)technology,in conjunction with 3D laser scanning and photogrammetry,to facilitate the collection and processing of data for the 3D modelling of architectural heritage.This approach is undertaken to establish a digital resource library,comprising resource blocks,including a primary architecture with retrieval functions and service modules for data collection functions.The experimental data demonstrate that the measurement area error of the research method is approximately 0.46×106 m2,which is 2.52×106 m2 lower than that of three-dimensional laser scanning measurement.The measurement error rate of the research method is approximately 0.21％,which is lower than that of 3D laser scanning measurement and oblique photogrammetry methods.A comparison of manual and digital methods of recording has revealed that the former can improve efficiency by approximately 75％and 67％when recording building structures and construction processes respectively.The findings suggest that utilising the HBIM-based digital resource construction method for the study of historical buildings exhibits high levels of accuracy and efficiency.This approach has the potential to significantly reduce resource consumption within the construction industry,thereby contributing to the sustainable development of architectural heritage protection work.

Abstract:Existing rural housing stock is primarily constituted of self-built brick-concrete structures,which are characterized by an absence of professional design and construction standards.This results in excessive heat transfer coefficients(U-values)of the building envelope and elevated operational energy consumption.In view of the substantial quantity of rural residences,the implementation of green retrofit measures is imperative in order to advance China's national strategies of energy conservation,emission reduction,and low-carbon development.The fundamental principle of green retrofit is predicated on the reduction of the U-values of the building envelope components,with a particular emphasis on exterior walls,roofs and fenestration.Through the implementation of targeted interventions,such as the addition of insulation layers to roofs and walls,and the upgrading of windows,there is potential to enhance the thermal performance of these envelope elements to a considerable extent.This,in turn,has the capacity to reduce heating and cooling loads,thereby facilitating the achievement of sustainability objectives.From a life-cycle cost perspective,it is recommended that a comprehensive retrofit of all three elements be considered when evaluating the demands of summer cooling and winter heating.In regions where cooling is the primary concern,a more cost-effective approach may be to prioritize roof and window upgrades.

Abstract:To address the disposal of construction and decoration waste,an optimal waste cleaning plan was selected through the construction of evaluation indicators.To clarify the relative importance of different indicators,the Analytic Hierarchy Process(AHP)and Entropy Weight Method(EWM)were employed to determine indicator weights.Based on Fuzzy Comprehensive Evaluation(FCE),the final assessment results were calculated.Through systematic computations,the most suitable plan was identified.The proposed selection paradigm demonstrates effective technical support for waste management decision-making,offering practical solutions to enhance urban construction waste processing systems.

Abstract:On the basis of studying the properties of various raw materials of foamed concrete,a large number of experiments and the production practical experience,an optimum mixture ratio of foamed concrete was designed by mathematical statistics,which not only meet dry density,thermal conductivity,strength,pouring stability and other technical requirements of foamed concrete,but also is economical and easy to operate.The mixture ratio design achieved the purpose of controlling thermal conductivity and compressive strength of foamed concrete,therefore,it can be used to guide the production process of foamed concrete to ensure product quality control.