关于构建塑料包装废弃物的分类、收集与管理体系的思考

简介了我国塑料包装行业发展状况和塑料包装废弃物治理的有关政策与法规；阐述了为解决塑料包装废弃物等对环境造成的污染不同主体应承担与落实的责任，包括政府部门、企业和消费者等；提出了为高值（质）化回收利用塑料包装废弃物构建细化分类、收集与管理体系的一些设想。     

A mechanism informed neural network for predicting machining deformation of annular parts

Controlling machining deformation of annular parts is crucial for ensuring the performance of high value products and equipment. For example, during manufacturing of critical parts in aircrafts and spacecrafts, accurate prediction of machining deformation is the basis for guiding the formulation of deformation control strategies. However, due to the complexity of the machining deformation of annular parts, existing methods still have limitations in accurate prediction. To this end, this paper proposes a mechanism informed neural network (MINN) to predict machining deformation of annular parts. MINN is realized by establishing the dual sub-networks structure and using enhanced loss functions with the consideration of the deformation mechanism model characteristics of annular parts. The deformation was decomposed into the axisymmetric portion and the non-axisymmetric portion according to the deformation superposition principle, and modeled separately based on the thin-shell theory and Fourier series. Experiment results showed that the proposed method could predict the machining deformation of annular parts more accurately and stably with a small amount of training data, compared with previous methods.     

大豆油体蛋糕的制作及品质分析

目的 为比较大豆油体、单甘脂和蔗糖酯三种成分对蛋糕烘焙学特征的影响。方法 本文通过对蛋糕面胚比容、质构，蛋糕面糊比重、黏度和表面气孔特性以及理化指标检测，并对蛋糕进行感官评定进行测试。结果 结果表明，大豆油体最适添加量为4.5%。大豆油体能增加蛋糕的黏度，有助于形成稳定的乳化体系，并且大豆油体蛋糕的酸价、过氧化值和反式脂肪酸检测结果符合国家标准。结论 大豆油体和乳化剂能显著提高豆乳奶油蛋糕的比容，降低硬度，从而改善蛋糕的品质特性。     

Utilization and impacts of hydrogen in the ironmaking processes: A review from lab-scale basics to industrial practices

Hydrogen (H₂) energy is a promising candidate to replace carbon monoxide (CO) as a reductant for iron oxide reduction in revolutionary ironmaking industrial processes, and numerous studies have been conducted to intensively study the utilization and impact of H₂ in ironmaking processes. Therefore, this review first collects and compares the H₂-assisted reduction mechanism and kinetics. The impacts of H₂ on the reduction accompanying behaviors, such as the disintegration, swelling, sticking, softening, and melting of iron ores, are then summarized. Third, the performance of H₂ predicted by either mass and heat balance models or numerical simulation models in various ironmaking processes is highlighted. Finally, the different applications of hydrogen-rich materials in blast furnace and non-blast furnace ironmaking processes are further compared to illuminate H₂ utilization before our outlook on the use of H₂ in the ironmaking industry.     

运营高速公路 40m 预制箱梁拆换施工技术研究

对于运营高速公路40m箱梁拆换施工，梁体的切割、吊装、运输、架设等受作业空间和环境的限制，增加了施工困难和风险，新旧箱梁在高速公路上的长距离运输为施工增加了成本和安全风险，同时也决定了箱梁拆换的总体进度。韩河大桥梁体拆换工程按期顺利实施完成，有效化解了以上问题，取得了良好的经济、社会效益。     

松辽盆地徐家围子断陷沙河子组储层特征及控制因素

徐家围子断陷沙河子组是松辽盆地北部近期天然气勘探的主要目标，这类致密砂砾岩气层的储层特征及控制因素研究是首要的。通过分析其白垩系早期拉张构造背景条件下形成的一套断陷沉积，纵向上可划分为4个三级层序，各层序在断陷湖盆陡坡带和缓坡带发育扇三角洲和辫状河三角洲沉积。研究表明其储层主要为砂砾岩和含砾粗砂岩等粗碎屑岩。沙河子组储层孔隙包括原生粒间孔和次生孔隙，孔隙度主要分布在2%~8%，渗透率多小于0.1×10^-3 μm²，为致密储层。沙河子组储层发育的控制因素包括埋深、沉积相带、岩石类型和次生成岩作用，埋藏浅的扇三角洲（辫状河三角洲）前缘、平原相砂砾岩储层物性好，含火山碎屑物质的砂岩、砂砾岩易于形成溶蚀孔隙，改善储集性能。徐家围子断陷沙河子组有利储层主要位于埋深小于4 000 m的安达东、西两侧的扇三角洲前缘、平原区和徐东、徐西的构造高部位扇体发育区，埋藏较浅的安达中部滨浅湖相和埋藏较深的徐东、徐西斜坡扇体发育区也是较有利的储层发育区。     

退火炉内罩中气体流动及钢卷传热的数值模拟

摘要：轧制力预报一直是热连轧过程控制模型的核心，浅层神经网络对复杂函数的表示能力有限，而深度学习模型通过学习一种深层非线性网络结构，实现复杂函数逼近。利用深度学习框架TensorFlow，构建了一种深度前馈神经网络轧制力模型，采用BP算法计算网络损失函数的梯度，运用融入Mini batch策略的Adam优化算法进行参数寻优，采用Early stopping、参数惩罚和Dropout正则化策略提高模型的泛化能力。基于上述建模策略，针对宝钢1880热连轧精轧机组的大量轧制历史数据进行了建模实验，对比分析了4种不同结构的前馈网络预测精度。结果表明，相比于传统SIMS轧制力模型，深度神经网络可实现轧制力的高精度预测，针对所有机架的预测精度平均提升21.11%。     

基于GF-1数据的三峡库区水体信息精细化提取

为实现江河类狭长型水体信息的精细化提取，利用GF-1卫星数据，采用支持向量机和目视解译相结合的方法对三峡库区及重庆市水体信息进行了精细化提取。使用总体分类精度、Kappa系数、错分误差、漏分误差、制图精度和用户精度等指标对库区水体信息粗提取结果进行验证分析。结果表明:4个试验区水体提取的总体分类精度均超过90%，除试验区4的Kappa系数为0.884 1以外，其余试验区均超过0.9，提取精度较高。结合目视解译的方法，在粗提取结果的基础上对各问题进行精细化处理，得到精度高、完整性好的三峡库区以及重庆市水体信息数据，可为后续该区域的精细化遥感业务开展提供有效资料。