埋藏深度对盐岩储气库溶腔变形的影响研究

以典型的单一溶腔盐岩地下储气库为例,采用ANSYS15.0建立了盐岩储气库计算模型,并通过ANSYS-FLAC3转换软 件将所建模型导入岩土通用计算软件FLAC3D中,最后通过FLAC3D模拟了七种不同埋藏深度情况下盐岩储气库溶腔的变形 情况。数值模拟结果为:随着埋藏深度的增加,盐岩储气库位移近似呈直线增加,盐岩储气库应力同样近似线性增加; 溶腔中上部及溶腔直径最大处位移及应力最大,溶腔变形最大。根据模拟结果,推荐类似本文所建的盐岩储气库埋藏深 度应控制在800～1 000 m为宜,才能保证其运行过程中最大位移不高于1.19 m,最大应力不高于80 MPa。尽管通过 FLAC3D模拟的盐岩地下储气库溶腔形状过于单一,与实际盐岩地下储气库具有一定距离,但是不乏代表性,同样能够为 盐岩储气库运营期间的安全稳定性提供有益的借鉴作用。     

不锈钢拉深用水基润滑剂研究

此文对国内不锈钢拉深用润滑剂应用现状进行了概括,提出了新型水基拉深润滑剂的配制工艺和润滑机理,并将其成功应用于实际生产。     

不锈钢器皿拉伸用模具材料

本文详细探讨了模具材料与不锈钢器皿表面划伤的关系。通过应用实例和分析确认铜基合金是拉伸不锈钢器皿的理想模具材料。     

基于YOLO-BP神经网络的古建筑修缮阶段火灾监测方法*

为提高古建筑修缮阶段火灾监测水平,有效预防火灾事故,提出1种基于YOLO-BP神经网络算法的古建筑修缮阶段火灾监测模型。针对修缮作业对古建筑产生的消防隐患,在施工场地设置监测点,并利用YOLO算法以火源、可燃物为目标进行检测与定位,计算火源与可燃物距离;以火源温度、含氧量、火源与可燃物距离3项指标作为BP神经网络输入层,以火灾概率为输出层,从而进行预测;基于古建筑修缮阶段焊接、切割动火作业阶段的样本数据进行仿真模拟。结果表明:利用模型监测古建筑修缮阶段火灾的准确率达93.9%,验证模型的可靠性;当火源温度在150~2 000 ℃范围内,含氧量不小于19.5%时,动火作业安全距离为10.1 m。     

Uncovering impact factors of carbon emissions from transportation sector: evidence from China’s Yangtze River Delta Area

Transportation sector contributes a significant proportion to the overall carbon emission. This paper aims at measuring the impact factors of the transportation sector’s carbon emission in China’s Yangtze River Delta Area (YRDA) so that mitigation strategies on promoting low-carbon transportation can be raised. The partial least squares method and an extended STIRPAT (stochastic impacts by regression on population, affluence, and technology) model were employed for quantifying the contributions of different impact factors that affect transportation carbon emission within the YRDA region for the period of 1995–2014. Results show that population size, GDP, civilian vehicle inventory, energy intensity, passenger transportation, freight turnover, and transport sector output are key factors inducing transportation carbon emission, while energy structure and transportation sector employees mitigate the overall transportation carbon emission. Such results provide valuable policy implications for preparing appropriate mitigation strategies, such as the optimization of energy structure, the development of energy efficient technologies, the improvement of public awareness, and the implementation of intelligent transportation management.