摘要：With the rapid development of artificial intelligence technology and increasing material data,machine learning-and artificial intelligence-assisted design of high-performance steel materials is becoming a mainstream paradigm in materials *** learning methods,based on an interdisciplinary discipline between computer science,statistics and material science,are good at discovering correlations between numerous data *** with the traditional physical modeling method in material science,the main advantage of machine learning is that it overcomes the complex physical mechanisms of the material itself and provides a new perspective for the research and development of novel *** review starts with data preprocessing and the introduction of different machine learning models,including algorithm selection and model ***,some successful cases of applying machine learning methods in the field of steel research are reviewed based on the main theme of optimizing composition,structure,processing,and *** application of machine learning methods to the performance-oriented inverse design of material composition and detection of steel defects is also ***,the applicability and limitations of machine learning in the material field are summarized,and future directions and prospects are discussed.

摘要：手机替代电脑的部分工作已经在很多领域得到应用,在测井行业还未有先例。首先对安卓系统智能手机进行编程,设计出操作程序及操作界面,再利用单片机芯片模拟出方波信号。单片机模拟产生的方波信号经过周期相位的调整转变成模拟的深度信号,这样就完成了手机控制并由单片机芯片发射深度信号的过程。简化了调试工作的步骤,减少了人员的浪费。

摘要：针对基础病害导致无砟轨道几何形位偏差远超过当前扣件调整能力的问题,对客货共线线路60 kg/m钢轨用弹条Ⅶ型扣件提出了增加钢轨高低位置、左右位置调整量的技术措施。在既有弹条Ⅶ型扣件基础上,通过增设铁挡肩、增设缓冲垫板、重新设计轨距挡板、重新设计轨距挡板下调高垫板、增加T形螺栓规格,可实现钢轨调高量0~+81 mm;通过增加绝缘轨距块规格、重新设计轨距挡板、更换弹条Ⅸ型扣件的W8型弹条,可实现单股钢轨左右位置调整量±10 mm。对扣件的组装静刚度、组装扣压力、钢轨纵向阻力、组装疲劳性能进行了测试试验,结果表明,各项性能均满足技术及线路运营要求。