BEM Analysis of Wave Propagation in a Water-Filled Borehole in an Anisotropic Solid

This paper describes a time-domain boundary element method developed to analyze the interactions of acoustic and elastic waves near the interfaces between water and an anisotropic elastic solid. Two models are analyzed with one being the interface between two half spaces of fluid and solid and the other being a fluid region sandwiched by half space domains of anisotropic elastic solids. Both monopole and dipole point sources are used to generate an initial pressure wave in the fluid. Some snapshots of the transient wave behavior near the fluid-solid interfaces are given. The effect of the anisotropy in the solid on the pressure waveforms in the fluid is discussed. The numerical results allow detailed arrival identification and interpretation of acoustic and elastic waves propagating along the fluid-solid interfaces.     

2D perovskites for field-effect transistors

Metal halide perovskites have gained a lot of attention in the field of solar cells and light-emitting diodes because of their excellent optoelectronic properti...     

敦煌盆地五墩凹陷中间沟组一段物源体系

为明确敦煌盆地五墩凹陷中间沟组一段物源体系及展布,以岩矿与主量元素分析为基础,结合水动力条件、地震剖面反射特征和古地貌分析,研究砂体的发育程度、物源方向与搬运通道,探讨五墩凹陷侏罗系中间沟组不同井区的沉积物来源。研究结果表明：XC1井与D2井具有同源性,岩屑类型以变质岩岩屑为主,D1井物源表现出一定差异性,岩屑类型以岩浆岩岩屑为主,主量元素分析结果与岩屑类型分析结果相一致;XC1井和D2井主要为近源扇三角洲沉积,D1井主要为远源辫状河三角洲沉积;XC1井和D2井区主要接受南部三危山隆起物源区的沉积物供给,D1井区主要接受北部北山物源区的沉积物供给。重新落实的物源体系展布对于研究区砂体展布规律具有重要的指导意义。     

乔木护坡效果物理模型试验研究

随着人们对环境保护的日益重视,植被护坡作为一种生态友好型的边坡支护方式逐步得到了广泛应用,其中针对草本和灌木护坡效果的研究较多,但有关乔木护坡效果的研究较少。为此,通过3D打印技术制作了较为逼真的乔木根系模型,并基于自行设计的滑坡物理模型试验平台,开展了乔木护坡效果物理模型试验,对边坡变形破坏全过程中抗滑力、坡体位移和坡体滑动面积进行了分析。结果表明：与无根系护坡试验工况相比,(1)有根系护坡坡体的抗滑力峰值增大、达到峰值所用时间延长,峰后抗滑力衰减程度降低;(2)有根系护坡坡体的坡体位移,随着根系长度和布设排数的增加总体呈现下降趋势,且研究发现,持续增加根系长度并不能持续显著减小坡体位移,而当根系长度较大时,适当减少根系布设排数亦能达到较好的护坡效果;(3)有根系护坡坡体的滑动面积明显减小。上述认识丰富了乔木护坡效果方面的研究,对乔木护坡实际工程应用有一定指导意义。     

基于CNN-LSTM-lightGBM组合的超短期风电功率预测方法

近年来,风电装机规模逐年增加,风电数据采集量呈现规模化增长,面对海量多维、强波动的风电数据,风电功率预测精度仍面临一定的挑战。为提高风电功率预测精度,提出了基于卷积神经网络(convolutional neural networks, CNN)-长短期记忆网络(long short-term memory, LSTM)和梯度提升学习(light gradient boosting machine, lightGBM)组合的超短期风电功率预测方法。首先,分别建立CNN-LSTM和lightGBM的风电功率超短期预测模型。其中,CNN-LSTM模型采用CNN对风电数据集进行特征处理,并将其作为LSTM模型的数据输入,从而建立CNN-LSTM融合的预测模型;然后,采用误差倒数法对CNN-LSTM和lightGBM的预测数据进行加权组合,建立CNN-LSTM-lightGBM组合的预测模型;最后,采用张北曹碾沟风电场的风电数据集,以未来4 h风电功率为预测目标,验证了组合模型的有效性。预测结果表明：相较于其他3种单一模型,组合模型具有更高的预测精度。     

首山一矿聚能双掏槽光面爆破技术应用

为适应平宝公司岩巷掘进的巨大需求,满足矿井采掘布局的进一步优化需要。针对岩巷掘进施工时打眼多、装药多、光面爆破效果差、工效低的现状,分析了原有爆破方式施工存在的问题及原因,在常规岩巷光面爆破的基础上,利用理论分析,室内试验,现场试验等手段,研究开发了聚能水压双掏槽光面爆破技术,并在平宝公司首山一矿进行了应用。工程实践表明,该方法大幅度降低炮眼掘进量,雷管、炸药等消耗量,降低爆破材料费。有效提升了岩巷光面爆破效果、增加了循环炮进率,岩巷光爆效果得到了明显的提升。在相同的条件下进尺效率得到了提高,在满足工程质量的同时,降低了施工成本,更加节能环保。     

ICP-AES摄谱法无基体匹配定量测定高纯氧化铽的方法研究

应用ICP-AES摄谱法考察了稀土铽对其它共存稀土杂质元素的干扰效应,并采用光谱干扰系数校正法和浓度干扰因子联合校正技术有效地校正了铽基体效应．准确测定了3种不同铽基体浓度场合共存的14种稀土元素,建立了高纯氧化铽ICP-AES无基体匹配定量分析方法,合成样品回收率多数为90％～110％之间,RSD值小于6％,稀土元素检出限随铽基体浓度的增加呈上升趋势．该方法可用于纯度低于99．98％氧化铽样品的分析．     

基于文献计量分析的公司创业投资研究现状、主题与展望

公司创业投资是公司创业、创业投资、战略管理和创新等多个领域的关键话题.文章在概括1980—2020年Web of Science数据库收录的公司创业投资文献特征的基础上,追溯公司创业投资内涵与定义的发展,梳理和提炼该领域研究的主题内容.文章将公司创业投资研究划分为初始萌芽、平稳发展和深化发展三个阶段,系统归纳分析了公司...     

Error analysis and distribution of the driving mechanism for large spherical radio telescope active reflector

In order to reduce the cost, 3-PRS mechanism is introduced into the application of supporting the active reflector unit of large radio telescope. The kinematic model of 3-PRS mechanism with rotational joint errors is derived to solve the error problem in actual engineering application. Then based on the error model, inverse and forward kinematics are analyzed. Because the solutions can not be analytically expressed, a numerical method is applied. Afterwards, the parasitic motion errors are analyzed using search method and empirical formulas of the maximum parasitic motion error are put forward. Finally, the tolerance is distributed using empirical formulas to avoid interference between adjacent reflector units. The analyses provide a theoretical basis for the design and installation of large radio telescope active reflector.     

Model evolvement and reuse technology of injection molding machine based on performance knowledge

To illuminate the necessity of model evolvement and reuse, dynamics of injection molding machine＇s product models are analyzed. The performance knowledge is used to support the model evolvement and reuse. The driven factors of mechanical product model are concluded. The dynamic characteristics of reuse. Finally, HT1800X1N series injection molding machines are taken as examples to illuminate that the arithmetic is correct and practical.