基于Ⅰ-Ⅱ复合型裂纹破坏模式的条带矿柱破坏宽度研究

采用条带法进行地下开采时,条带矿柱的裂纹扩展导致了矿柱的最终破坏,且裂纹多表现为Ⅰ型裂纹与Ⅱ型裂纹复合扩展破坏特征。根据采场矿柱受力条件,确定条带矿柱受两侧采场空区影响时矿柱内Ⅰ-П复合型裂纹尖端的Westergaard应力函数,采用HoekBrown强度准则计算采场作业面围岩破坏区的边界条件,建立了矿柱破坏宽度计算模型。以上横山页岩矿床为研究对象,采用物理相似模拟试验,模拟条带法回采某盘区3个试验区段,利用DIP法分析受地应力及回采扰动作用下矿柱的裂纹发育特征,验证模型的有效性。结果表明,条带及其条带矿柱均为15 m等设计参数条件下,计算模型矿柱破坏宽度理论值分别为17.66 m、15.56 m和10.28 m,试验模拟结果分别为完全大于15 m、约为15 m和10.5~11.0 m,试验结果与依据模型计算的理论值相近。     

基于CEEMDAN-SOBI对桥梁监测挠度的分离研究

为实现桥梁挠度监测信号各种效应值的分离,提出1种基于自适应噪声的完备集合经验模态分解（Complete Ensemble Empirical Mode Decomposition with Adaptive Noise,CEEMDAN）结合二阶盲源辨识（Second Order Blind Identification,SOBI）的单通道盲源分离算法。首先利用自适应噪声的完备集合经验模态分解将单通道的桥梁挠度信号分解为一系列线性平稳的本征模函数,计算各子序列的排列熵（Permutation Entropy,PE）并将排列熵值相近的序列相加组成新的序列;然后采用K-L散度的判别法剔除虚假的分量,将真实的分量组成盲源分离模型的输入信号;最后采用二阶盲源辨识对输入信号进行盲源分离,得到桥梁监测挠度的各效应值。结果表明:该方法能有效分离挠度监测信号中的各种效应值。     

基于油松树轮宽度重建河北青龙过去123年平均相对湿度

相对湿度的研究对理解古气候变化有着重要的科学意义,但是目前国内利用树轮资料重建的历史时期相对湿度变化十分有限。本文利用油松树轮宽度重建了河北青龙地区1890—2012年5—7月的平均相对湿度变化,重建序列的方差解释量为39.1%(减少自由度后为38.0%)。重建序列显示出5个湿润期(1895—1899年,1906—1914年,1924—1926年,1950—1955年,1984—2000年)和5个干旱期(1900—1905年,1917—1921年,1927—1949年,1956—1973年,1975—1981年)。重建序列和观测数据均与邻近研究区的PDSI对应良好,表明该序列具有较强的空间代表性,可以反映河北北部地区的平均相对湿度变化情况。本研究表明研究区相对湿度变化不仅受局地气候控制,还可能受到ENSO影响。     

底部开缝预应力剪力墙结构力学性能的有限元分析

根据现浇混凝土结构与装配混凝土结构的耗能特点,建立了底部开缝后张拉预应力摇摆剪力墙结构模型,并采用数值模拟方法研究其抗震耗能性能,分析分布钢筋、预应力水平、轴压力等参数对其力学性能的影响,并与同类型整体现浇剪力墙进行了对比分析。结果表明:底部开缝后张拉预应力摇摆剪力墙结构具有一定的耗能能力,虽然相对于现浇剪力墙结构,其承载力较低,但变形能力较强,墙体损伤和残余变形较小,并且具有较好的自复位能力。     

人员密度和出口宽度的不确定性对疏散行动时间的影响

基于Kikuji Togawa所提出的常用人员疏散行动时间经验公式，使用拉丁超立方抽样法，研究房间人员密度和出口宽度的不确定性对疏散行动时间的影响。得出二者服从均匀分布和正态分布条件下，疏散行动时间的概率密度直方图和累积概率曲线。结果表明，人员密度和出口宽度的不同分布形式对疏散行动时间都有显著影响，二者服从正态分布时，计算得到的疏散行动时间范围比服从均匀分布小，且较为集中。而服从均匀分布时，计算得到的疏散行动时间在其范围内则较为均匀、分散。在小概率0～0．1区间范围内，人员密度和出口宽度服从正态分布时，计算得到的疏散行动时间累计概率值明显较均匀分布小，说明二者服从正态分布得到的疏散行动时间值偏于保守。二者均为不确定参数时，假定人员密度服从均匀分布，出口宽度服从正态分布时计算得出的疏散行动时间值偏于保守。     

多维旋度大循环经济圈发展模式研究——产业集群视角下以黑龙江省为例

为了定量分析省域空间特征区域间的经济增长关系,通过引入场论理论框架,结合集聚经济学和传统空间区域划分理论观点,提出多维旋度大循环经济圈发展模型。定义资金通量经济场,以资金通量流速和资金通量密度为主要测度指标来衡量特征区域的经济学指标。以黑龙江省大循环经济圈发展模式的建设构思检验模型的合理性,并由此得出黑龙江省实现经济再增长的关键问题是要处理好农林产业、能源产业、其他新兴服务产业同外贸产业之间相互触发、互为依存的激励关系。     

变截面门式刚架结构极限承载力分析

采用变截面薄腹构件是门式刚架结构轻型化的主要措施之一。如何利用变截面薄腹构件的腹板屈曲后强度并同时保证构件乃至结构的安全度始终是门式刚架结构工程设计的重要内容。根据有效宽度法的基本思想,提出了相关屈曲系数概念,在变截面H钢构件双重非线性数值分析基础上获得的局部屈曲荷载拟合公式,应用于变宽度楔形腹板的有效宽度简化计算公式当中。应用改进后的有效宽度法,进行了变截面门式刚架结构考虑构件局部屈曲影响的极限承载力分析,探讨了腹板平均宽厚比、腹板楔率对结构极限承载力的影响,提出了对变截面门式刚架结构优化设计的工程建议,并具有工程指导意义。     

Precision Measurements from Very-Large Scale Aerial Digital Imagery

Managers need measurements and resource managers need the length/width of a variety of items including that of animals, logs, streams, plant canopies, man-made objects, riparian habitat, vegetation patches and other things important in resource monitoring and land inspection. These types of measurements can now be easily and accurately obtained from very large scale aerial (VLSA) imagery having spatial resolutions as fine as 1 millimeter per pixel by using the three new software programs described here. VLSA images have small fields of view and are used for intermittent sampling across extensive landscapes. Pixel-coverage among images is influenced by small changes in airplane altitude above ground level (AGL) and orientation relative to the ground, as well as by changes in topography. These factors affect the object-to-camera distance used for image-resolution calculations. ‘ImageMeasurement’ offers a user-friendly interface for accounting for pixel-coverage variation among images by utilizing a database. ‘LaserLOG’ records and displays airplane altitude AGL measured from a high frequency laser rangefinder, and displays the vertical velocity. ‘Merge’ sorts through large amounts of data generated by LaserLOG and matches precise airplane altitudes with camera trigger times for input to the ImageMeasurement database. We discuss application of these tools, including error estimates. We found measurements from aerial images (collection resolution: 5–26 mm/pixel as projected on the ground) using ImageMeasurement, LaserLOG, and Merge, were accurate to centimeters with an error less than 10%. We recommend these software packages as a means for expanding the utility of aerial image data.     

Risk assessment of an oil depot using the improved multi-sensor fusion approach based on the cloud model and the belief Jensen-Shannon divergence

At present, enterprises have introduced the Internet of Things (IoT) technology to monitor and evaluate the safety status of oil depots, allowing for the collection of a substantial amount of multi-source monitoring data from factories. However, sensor monitoring data is often inaccurate and fuzzy. To improve the reliability of risk prevention and control based on multi-source sensor data, this study proposed a CM-BJS-DS model based on the cloud model (CM), the Belief Jensen-Shannon (BJS) divergence and Dempster-Shafer(D-S) evidence theory. First, the relevant evaluation factors of the accident and their threshold intervals of different risk levels were determined, and the fuzzy cloud membership functions (FCMFs) corresponding to different risk levels were constructed. Then, the sensor monitoring data were processed using the correlation measurement of the FCMF, and basic probability assignments (BPAs) were generated under the risk assessment frame of discernment. Finally, the BPAs were pre-processed by the improved evidence fusion model and the accident risk level was evaluated. Based on the monitoring data, a case study was performed to assess the risk level of vapor cloud explosion (VCE) accidents due to liquid petroleum gas (LPG) tank leaks. The results show that the proposed method presents the following characteristics: (i) The BPAs were constructed based on the monitoring data, which reduced the subjectivity of the construction process; (ii) Compared with single sensors, the multiple sensor fusion evaluation yielded more specific results; (iii) When dealing with highly conflicting evidence, the evaluation results of the proposed method exhibited a higher belief degree. This method can be used as a decision-making tool to detect potential risks and identify critical risk spots to improve the specificity and efficiency of emergency response.     

楼板对钢筋混凝土框架结构受力性能影响

汶川8级地震震害调查发现,这次地震中现浇钢筋混凝土框架结构多发生"强梁弱柱"型破坏,这与规范中"强柱弱梁"抗震设计原则相悖。为探究其原因,采用ABAQUS软件对钢筋混凝土带楼板框架和空框架结构进行了侧向加载情况的性能分析。通过对比纵向梁端钢筋应力变化和柱端钢筋应力变化,以及分析不同侧向位移对应的楼板钢筋的应力变化情况,指出楼板对梁端抗负弯矩能力的增强有很大贡献。研究了节点类型、楼板钢筋材性、侧向位移、梁高、梁跨和板厚等因素对纵向梁端处楼板有效宽度的影响规律,提出了负弯矩作用下梁端处楼板有效宽度的取值方法。