Analysis of piezoelectric semiconductor fibers under gradient temperature changes

Piezoelectric semiconductors(PSs)possess both semiconducting properties and piezoelectric coupling effects,making them optimal building blocks for semiconductor devices.PS fiber-like structures have wide applications in multi-functional semiconductor devices.In this paper,a one-dimensional(1D)theoretical model is established to describe the piezotronic responses of a PS fiber under gradient temperature changes.The theoretical model aims to explain the mechanism behind the resistance change caused by such gradient temperature changes.Numerical results demonstrate that a gradient temperature change significantly affects the physical fields within the PS fiber,and can induce changes in its surface resistance.It provides important theoretical guidance on the development of piezotronic devices that are sensitive to temperature effects.

Explainable machine learning model for predicting molten steel temperature in the LF refining process

Accurate prediction of molten steel temperature in the ladle furnace(LF)refining process has an important influence on the quality of molten steel and the control of steelmaking cost.Extensive research on establishing models to predict molten steel temperature has been conducted.However,most researchers focus solely on improving the accuracy of the model,neglecting its explainability.The present study aims to develop a high-precision and explainable model with improved reliability and transparency.The eXtreme gradient boosting(XGBoost)and light gradient boosting machine(LGBM)were utilized,along with bayesian optimization and grey wolf optimiz-ation(GWO),to establish the prediction model.Different performance evaluation metrics and graphical representations were applied to compare the optimal XGBoost and LGBM models obtained through varying hyperparameter optimization methods with the other models.The findings indicated that the GWO-LGBM model outperformed other methods in predicting molten steel temperature,with a high pre-diction accuracy of 89.35%within the error range of±5°C.The model’s learning/decision process was revealed,and the influence degree of different variables on the molten steel temperature was clarified using the tree structure visualization and SHapley Additive exPlana-tions(SHAP)analysis.Consequently,the explainability of the optimal GWO-LGBM model was enhanced,providing reliable support for prediction results.

Gyro-Landau-fluid simulations of impurity effects on ion temperature gradient driven turbulence transport

The effects of impurities on ion temperature gradient(ITG)driven turbulence transport in tokamak core plasmas are investigated numerically via global simulations of microturbulence with carbon impurities and adiabatic electrons.The simulations use an extended fluid code(ExFC)based on a four-field gyro-Landau-fluid(GLF)model.The multispecies form of the normalized GLF equations is presented,which guarantees the self-consistent evolution of both bulk ions and impurities.With parametric profiles of the cyclone base case,well-benchmarked ExFC is employed to perform simulations focusing on different impurity density profiles.For a fixed temperature profile,it is found that the turbulent heat diffusivity of bulk ions in a quasi-steady state is usually lower than that without impurities,which is contrary to the linear and quasilinear predictions.The evolutions of the temperature gradient and heat diffusivity exhibit a fast relaxation process,indicating that the destabilization of the outwardly peaked impurity profile is a transient state response.Furthermore,the impurity effects from different profiles can obviously influence the nonlinear critical temperature gradient,which is likely to be dominated by linear effects.These results suggest that the improvement in plasma confinement could be attributed to the impurities,most likely through adjusting both heat diffusivity and the critical temperature gradient.

Three-Dimensional Convection in an Inclined Porous Layer Subjected to a Vertical Temperature Gradient

In this paper,we study the onset and development of three-dimensional convection in a tilted porous layer saturated with a liquid.The layer is subjected to a gravitational field and a strictly vertical temperature gradient.Typically,problems of thermal convection in tilted porous media saturated with a liquid are studied by assuming constant different temperatures at the boundaries of the layer,which prevent these systems from supporting conductive(non-convective)states.The boundary conditions considered in the present work allow a conductive state and are representative of typical geological applications.In an earlier work,we carried out a linear stability analysis of the conductive state.It was shown that at any layer tilt angles,the most dangerous type of disturbances are longitudinal rolls.Moreover,a non-zero velocity component exists in z-direction.In the present work,threedimensional non-linear convection regimes are studied.The original three-dimensional problem is reduced to two-dimensional one with an analytical expression for the velocity z-component v_(z)=v_(z)(x,y).It is shown that the critical Rayleigh number values obtained through numerical solutions of the obtained 2D problem by a finite difference method for different layer inclination angles,are in a good agreement with those predicted by the linear theory.The number of convective rolls realized in nonlinear calculations also fits the linear theory predictions for a given cavity geometry.Calculations carried out at low supercriticalities show that a direct bifurcation takes place.With increasing supercriticality,no transitions to other convective regimes are detected.The situation studied in this problem can be observed in oil-bearing rock formations under the influence of a geothermal temperature gradient,where the ensuing fluid convection can affect the distribution of oil throughout the layer.

Data-driven methods for predicting the representative temperature of bridge cable based on limited measured data

Cable-stayed bridges have been widely used in high-speed railway infrastructure.The accurate determination of cable’s representative temperatures is vital during the intricate processes of design,construction,and maintenance of cable-stayed bridges.However,the representative temperatures of stayed cables are not specified in the existing design codes.To address this issue,this study investigates the distribution of the cable temperature and determinates its representative temperature.First,an experimental investigation,spanning over a period of one year,was carried out near the bridge site to obtain the temperature data.According to the statistical analysis of the measured data,it reveals that the temperature distribution is generally uniform along the cable cross-section without significant temperature gradient.Then,based on the limited data,the Monte Carlo,the gradient boosted regression trees(GBRT),and univariate linear regression(ULR)methods are employed to predict the cable’s representative temperature throughout the service life.These methods effectively overcome the limitations of insufficient monitoring data and accurately predict the representative temperature of the cables.However,each method has its own advantages and limitations in terms of applicability and accuracy.A comprehensive evaluation of the performance of these methods is conducted,and practical recommendations are provided for their application.The proposed methods and representative temperatures provide a good basis for the operation and maintenance of in-service long-span cable-stayed bridges.

Effect of temperature gradientinduced periodic deformation of CRTS Ⅲ slab track on dynamic responses of the train-track system

Purpose-Temperature is an important load for a ballastless track.However,little research has been conducted on the dynamic responses when a train travels on a ballastless track under the temperature gradient.The dynamic responses under different temperature gradients of the slab are theoretically investigated in this work.Design/methodology/approach-Considering the moving train,the temperature gradient of the slab,and the gravity of the slab track,a dynamic model for a high-speed train that runs along the CRTS Ⅲ slab track on subgrade is developed by a nonlinear coupled way in Abaqus.Findings-The results are as follows:(1)The upward transmission of the periodic deformation of the slab causes periodic track irregularity.(2)Because of the geometric constraint of limiting structures,the maximum bending stresses of the slab occur near the end of the slab under positive temperature gradients,but in the middle of the slab under negative temperature gradients.(3)The periodic deformation of the slab can induce periodic changes in the interlayer stiffness and contact status,leading to a large vibration of the slab.Because of the vibration-reduction capacity of the fastener and the larger mass of the concrete base,the accelerations of both the slab and concrete base are far less than the acceleration of the rail.Originality/value-This study reveals the influence mechanism of temperature gradient-induced periodic deformation in the dynamic responses of the train-track system,and it also provides a guide for the safe service of CRTS Ⅲ slab track.

Study on the dynamic contact relationship between layers under temperature gradients in CRTSⅢ ballastless track

In areas with large temperature differences,the uneven distribution of temperatures in the CRTS III ballastless track slab due to daytime sunlight can cause warpage deformation,leading to periodic rail irregularities that increase the wheel-rail impact of high-speed vehicles and accelerate track structure damage.Therefore,it is necessary to study the dynamic contact relationship between the composite slab and the base plate during vehicle running.The results of the study show that:1)Under the influence of temperature gradients,the composite slab tends to deform elliptically.With a positive temperature gradient,the middle part of the track slab bulges upward,causing the slab to be supported by its four corners.Conversely,with a negative temperature gradient,the four corners of the track slab bulge upward,resulting in the slab being supported by its center.2)Temperature gradients can lead to separation between the composite slab and the base plate,reducing the contact area between layers.During vehicle running,the contact area between layers gradually increases,but the separation cannot be completely closed.3)The temperature gradient significantly affects the vertical displacement of the track.The vertical displacement in the middle of the slab increases with a positive temperature gradient.In contrast,the vertical displacement at the ends of the slab increases with a negative temperature gradient.4)The stress of self-compacting concrete at the side position significantly increases under a positive temperature gradient,with the vertical stress increasing by 2.7 times when the temperature gradient increases from 0 to 90℃·m^(-1).

Finite Element Simulation of Temperature Variations in Concrete Bridge Girders

The internal temperature of cast-in-place concrete bridges undergoes strong variations during the construction as a result of environmental factors.In order to determine precisely such variations,the present study relies on the finite element method,used to model the bridge box girder section and simulate the internal temperature distribution during construction.The numerical results display good agreement with measured temperature values.It is shown that when the external temperature is higher,and the internal and external temperature difference is relatively small,the deviation of the fitting line from existing specifications(Chinese specification,American specification,New Zealand specification)is relatively large and vice versa.

Temperature Gradient Analyses of a Tubular Solid Oxide Fuel Cell Fueled by Methanol

Thermal management in solid oxide fuel cells(SOFC)is a critical issue due to non-uniform electrochemical reactions and convective fl ows within the cells.Therefore,a 2D mathematical model is established herein to investigate the thermal responses of a tubular methanol-fueled SOFC.Results show that unlike the low-temperature condition of 873 K,where the peak temperature gradient occurs at the cell center,it appears near the fuel inlet at 1073 K because of the rapid temperature rise induced by the elevated current density.Despite the large heat convection capacity,excessive air could not eff ectively eliminate the harmful temperature gradient caused by the large current density.Thus,optimal control of the current density by properly selecting the operating potential could generate a local thermal neutral state.Interestingly,the maximum axial temperature gradient could be reduced by about 18%at 973 K and 20%at 1073 K when the air with a 5 K higher temperature is supplied.Additionally,despite the higher electrochemical performance observed,the cell with a counter-fl ow arrange-ment featured by a larger hot area and higher maximum temperature gradients is not preferable for a ceramic SOFC system considering thermal durability.Overall,this study could provide insightful thermal information for the operating condition selection,structure design,and stability assessment of realistic SOFCs combined with their internal reforming process.

Effects of transient temperature gradient on frost heave of saturated silty clay in an open system

Frost heave in seasonally frozen regions is a one-dimensional process that could severely damage infrastructure subgrades.Stress state,temperature and water migration are important factors for frost heave.This work investigated the effects of soil temperature and volumetric water content on the transient frost heave ratio during the freezing of saturated silty clay in an open system and analyzed the relationships between the transient frost heave ratio and freezing rate and between temperature gradient and frost heave rate.The results show that the frost heave ratio,frost heave rate,and freezing rate are positively correlated with the temperature gradient since the temperature gradient drives the water migration during freezing,indicating the transient temperature gradient could be used to evaluate the frost heave of saturated silty clay.The transient freezing rate and transient frost heave ratio are logarithmically related to the transient frost heave ratio and transient temperature gradient,respectively.The effects of transient temperature gradient on frost heave are the principal mechanism responsible for different frost heave characteristics and uneven frost heave along a subgrade of the same soil type.

基于实测数据的高海拔大日温差地区拱上组合梁桥-无砟轨道体系温度场研究

温度作用是影响桥梁-轨道结构服役性能的重要因素之一。为探究高海拔大日温差地区拱上组合梁桥-无砟轨道体系的温度场变化规律,基于某拟建铁路上承式大跨拱桥桥址处的环境温度持续监测数据与卫星反演得到的太阳辐射数据,建立了考虑太阳辐射阴影遮挡效应的拱上组合梁桥-无砟轨道体系温度场模型,重点分析日温度变化规律和竖向温差分布规律,获得了考虑实测气温和太阳辐射逐时变化的全年日温度场;采用广义帕累托分布对竖向温差样本进行了极值分布估计,确定不同超越概率的竖向温差代表值,提出多折线形式的竖向温度梯度模式。研究结果表明,梯度相较于平原地区更为显著,无砟轨道的遮挡效应使得温度梯度分布上移,钢梁外侧腹板在冬季产生局部梯度作用;基于实测数据的温差极值估计方法考虑了环境温度和太阳辐射对结构温度场的随机影响,可为特殊地区桥梁设计阶段温度作用的计算提供参考。

流体加热融雪系统运行对道路结构温度分布特性影响分析

为了明确流体加热道路融雪系统运行对道路结构短期/长期温度分布特性的影响,利用室外足尺试验系统对比分析了普通水泥混凝土路面结构与流体加热道路融雪系统道路结构在温度、温变速率及温度梯度分布特性等方面的差异,阐明了系统运行对道路结构短期/长期温度分布特性的影响规律。结果表明:融雪系统运行初期,快速上升的流体温度对管壁-路面材料界面存在强烈的温度冲击作用;随着系统持续运行,管壁-路面材料界面的温变速率逐渐减小并趋于稳定,且小于普通路面最大温变速率;同时,融雪系统的运行增大了路面结构内部的温度梯度,改变了路面结构一定深度范围内的热量传递方向。融雪系统道路结构年周期温度分布的观测结果表明:融雪系统的运行可在较短的时间内释放大量热能,降低了道路结构内部热量的散失,有效延缓了季节性冰冻地区冬季道路结构温度的降低及冻结深度的发展。

伊宁1井和伊宁2井井水温梯度测量及结果分析

通过对喀什河断裂带上、下盘的伊宁2井和伊宁1井进行水温梯度测量和水样水化学分析,结合区域地质资料和井孔柱状图,分析两口观测井的水温梯度变化特征及影响因素。结果表明,伊宁1井水温变化以地温控制为主,伊宁2井水温受补给水源水温和地温的综合影响;伊宁1井地下水的水岩反应程度和循环深度均高于伊宁2井,不同水岩反应程度和循环深度的补给水源会在一定程度上影响观测井的水温梯度变化。地层裂隙发育程度和含水层分布情况是导致水温梯度表现出复杂变化特征的主要因素,伊宁2井所处区域岩体相对破碎,裂隙发育,水温梯度波动大;伊宁1井所处区域岩体相对完整,水温梯度相对稳定。

三水河特大桥桥墩温度场及温度效应研究

为研究温度效应对连续刚构桥空心薄壁墩受力行为的影响,以(98+5×185+98)m变截面预应力混凝土连续刚构桥——三水河特大桥主桥为背景,通过现场温度场测试,研究桥墩垂直温度场和水平温度场的分布规律,并以实测温度场为依据,选取对桥墩刚度影响较大的桥墩高度、顺桥向宽度和壁厚作为关键参数,分析整体均匀温度T和梯度温度ΔT对空心薄壁墩受力的影响。结果表明:实测桥墩垂直温度场随着墩高的变化分布差异较小,水平温度场受日光照射影响较大,桥墩夏季的梯度温度值约为冬季的2倍。墩高对桥墩温度应力的影响基本呈反比关系,顺桥向宽度对墩底温度应力的影响呈线性增长趋势,壁厚与温度应力呈反比关系。对于长联刚构桥,为减小桥墩的温度效应,建议边主墩高度不宜小于60 m,桥墩顺桥向宽度宜尽量减小,桥墩壁厚宜取80~100 cm。

基于应变梯度理论的切削加工SiCp/Al表面创成机理分析

为了深入研究颗粒增强铝基复合材料的切削过程,对45%体积分数的SiCp/Al复合材料通过多相建模的方法建立了基于应变梯度的本构模型,并对软件ABAQUS进行了二次开发,用程序语言将所建本构模型以及描述断裂的B-W断裂准则编入用户子程序VUMAT,并导入ABAQUS进行仿真分析。结合切削实验和仿真分析结果,研究了在相同切削速度及不同切削深度下SiCp/Al复合材料加工表面温度、材料内部应力应变和位错的变化情况。研究结果表明,相较于传统Johnson-Cook模型,修正后的本构模型所得到的结果与实验结果更加吻合;切削深度增大会引发高温梯度;材料内部应力会在颗粒附近形成应力集中;在加工表面应变较大的区域出现大量位错,导致加工颗粒增强金属基复合材料的难度上升。

连续刚构梁拱组合桥日照温度效应分析

为了对连续刚构梁拱组合桥日照温度效应展开研究,依托陕西省铜川市某在建高墩大跨连续刚构梁拱组合桥,采用现场温度场实测数据、历史气象观测数据与有限元数值模拟相结合的方法,研究高墩大跨连续梁拱组合体系空间温度场及其温度效应。结果表明:通过开展依托工程空心薄壁混凝土高墩温度场现场试验测试,分析混凝土高墩温度分布随时间和空间的变化规律,可以看出混凝土高墩在1 d中内外表面温度测点的温差可达到11.9℃,这说明温度分布沿桥墩壁厚方向的差异显著,为高墩日照温度场数值模型验证提供了试验基础;对比有限元模拟结果与现场实测数据表明,大部分代表性观测点位的温度有限元计算值与温度实测值吻合程度较好,验证了数值模型及气象参数取值的合理性;关键施工阶段温度效应分析表明,主梁合龙口相对高差值随着结构整体升降温变化呈线性变化;在考虑不同主墩温度梯度的情况下,主梁的挠度曲线形式和挠度值与现行桥梁规范中仅考虑主梁温度梯度效应相比均发生了较大变化;当拱肋合龙温差在10℃以内时,可以忽略其对结构内力和线形的影响。

煤的温压吸附试验方法与等温吸附试验方法比较研究

为了研究煤的温压吸附试验方法在煤层气吸附方面的可行性,本文对煤的温压吸附试验方法与煤的高压等温吸附试验方法进行了比较研究。分别取12个、10个、8个、和6个温压吸附试验点作为四组不同温度和相应不同压力作为温压吸附试验点,记为V_(实测)。使用温度-压力-吸附方程(Temperature-Pressure-AbsobingEquation(TPAE)),将方程转化为二元一次方程后进行线性回归计算其余三个参数,将所得的四个参数记为V_(计算)。通过计算_(实测)与V_(计算)之间的平均相对误差和标准偏差以衡量温压吸附试验方法的可行性。

基于ANN和XGB算法的锈蚀钢筋混凝土高温粘结强度预测方法

为准确评估锈蚀钢筋混凝土(CRC)结构在突发火灾下的结构承载力,锈蚀钢筋混凝土高温粘结强度的统一预测方法研究亟待开展。然而,粘结退化机理复杂,粘结因素众多,实验方法不能考虑所有粘结因素的相关复杂关系的影响。在现有大量试验数据的基础上,采用机器学习方法可以有效地通过数据建立输入和输出特征之间的回归关系。该文利用ANN和XGB两种机器学习算法建立了一个统一的锈蚀钢筋混凝土高温粘结强度预测模型。基于612组高温锈蚀钢筋混凝土的试验研究数据,进行模型训练和测试。结果表明:ML模型的预测结果与实验结果十分吻合。此外,针对机器学习算法本身存在的黑盒子问题,使用SHAP方法来解决锈蚀钢筋混凝土高温粘结强度预测过程中的模型可解释性问题。同时,还将ML模型的计算结果与三种理论计算公式的结果进行了比较,结果表明:ML模型具有明显的优势。新构建的混合机器学习模型很有可能成为准确评估CRC结构经受高温后的损伤程度问题的新选择。

外部能场辅助搅拌摩擦焊接技术综述

外部能场辅助搅拌摩擦焊接是一种改进型固相焊接方法,在航空航天、汽车制造、能源领域等方面得到了广泛应用,通过引入外部能场,可以改善焊接接头的组织和性能,提高焊接质量和效率。本文对外部能场辅助搅拌摩擦焊接技术进行了分类,综述了能场的选择和控制、工艺参数的优化等,阐述了外部能场对焊接温度、轴向载荷、接头组织性能的影响,最后总结了外部能场辅助搅拌摩擦焊接技术未来的发展趋势。

混凝土连续组合小箱梁桥温度效应有限元分析

以亚沟枢纽互通G匝道桥作为依托工程,采用有限元数值分析方法对混凝土小箱梁桥在各国规范规定的温度梯度模式下进行仿真模拟,研究混凝土小箱梁桥在不同温度梯度模式作用下顶板、腹板和底板温度效应的分布规律,得出各国规范对于桥梁温度梯度模式方面规定的差异性。研究结果表明:在不同的温度梯度模式下,混凝土小箱梁桥的顶板、腹板和底板产生的正截面法向温度效应差异较大;沿梁长方向,边跨各截面产生的温度应力波动幅度较大,而中跨各截面产生的温度应力趋于相同;各国规范规定的竖向温度梯度荷载对混凝土小箱梁桥作用后产生的温度效应曲线之间存在规律性。可对类似混凝土连续组合小箱梁桥温度效应的计算提供参考。