热-力循环载荷下身管镀层裂纹扩展规律研究

目的研究身管镀层裂纹的扩展机理,提高身管寿命。方法针对身管镀层裂纹损伤,提出一种基于扩展有限元方法(XFEM)结合内聚力模型(CZM)的方法。建立热–力耦合的镀层身管有限元模型,通过间接耦合的方式,将温度场导入有限元模型,通过CZM本构模型来模拟其损伤失效行为。对镀层初始裂纹在热–力载荷下扩展到镀层/基体界面的情况进行仿真分析。结果在高温高压环境下,镀层初始裂纹扩展速度很快,在第1发射击完成后便扩展到基体结合面,初始裂纹扩展到镀层/基体界面时,裂纹尖端的存在使局部具有较大切应力,达到1180 MPa。在连续射击工况下,造成镀层结合面的开裂。结论在高温高压载荷下,镀层初始裂纹很快扩展到镀层/基体界面,且身管镀层承受的热应力是导致镀层开裂的重要因素。     

基于Seam型裂纹的复合型裂纹起裂角预测的有限元法

目的对处于多轴应力状态下的复合型裂纹起裂角进行预测。方法考虑材料的弹性性能,利用商业有限元软件ABAQUS中的Seam裂纹模拟穿透型裂纹损伤,建立双轴载荷作用下中心带孔边裂纹板的三维有限元模型,通过位移外推法得到裂纹尖端的应力强度因子(Stress Intensity Factor,SIF),并利用求得的SIF基于最大周向应力断裂准则预测孔边裂纹的起裂角。结果通过与相关文献结果进行对比,发现通过该有限元方法计算得到的应力强度因子与文献结果的最大误差在2%以内,预测的裂纹起裂角与文献结果的最大误差在3%以内。结论该有限元方法计算的裂纹起裂角与文献结果一致,因此文中求解复合型裂纹起裂角所使用的有限元方法是可靠有效的。     

基于回归分析的隧道爆破振动传播规律研究

为控制隧道爆破振动效应产生的危害,采用回归分析法对爆破振动的传播规律进行研究。首先采用一元线性回归与二元线性回归对爆破振动实测数据进行分析,确定不同影响因素下萨氏公式的相关参数,进而研究隧道爆破振动的传播规律,然后计算不同爆心距对应的爆破最大段药量,最后通过爆破振速峰值分析来判断隧道爆破的安全程度。研究结果表明,该隧道爆破振动危害在控制范围之内,不会对地表建筑物造成影响。     

基于损伤-断裂力学理论的起重机疲劳寿命估算方法

鉴于断裂力学无法估算裂纹形成寿命及难以确定其初始裂纹尺寸,提出将损伤力学与断裂力学相结合共同估算起重机疲劳寿命的思想。针对Paris公式应用的局限性,提出将裂纹扩展率与应力强度因子幅对数线性阶段的某一裂纹尺寸作为裂纹形成寿命和裂纹扩展寿命的分界点。用损伤力学估算疲劳裂纹的形成寿命,用断裂力学估算疲劳裂纹的扩展寿命,两者寿命之和构成起重机的疲劳全寿命。这样做既能避免断裂力学寿命估算中确定初始裂纹尺寸的混乱现象;又能确保Paris公式应用在裂纹扩展率与应力强度因子幅的对数线性阶段。试验验证结果表明,估算疲劳全寿命和试验寿命基本吻合。     

大型回转窑托轮轴疲劳断裂分析与防治

回转窑由于其支承载荷分配不均 ,托轮轴疲劳断裂现象频繁 ,这就严重影响了生产的正常进行 ,造成重大的经济损失。笔者通过对回转窑的托轮轴进行力学分析 ,导出托轮轴等效对称循环应力幅的计算方法 ;对现场回转窑进行分析计算 ,得出该窑托轮轴危险截面等效应力幅与所受载荷的线性关系 ,从而得到托轮轴疲劳极限对应的载荷值和一些重要结论 ;提出通过轴线检测和调整来控制托轮所受载荷 ,使托轮轴处在疲劳极限下运行 ,从而减少托轮断轴事故带来的重大损失 ,有着较好的经济效益     

基于因子-神经网络预测南渡江海口段水质状况

针对海南省南渡江日益严重的水污染现状,根据南渡江海口段2001年-2006年的监测资料,应用因子分析法找出影响水质的主要污染指标,建立了基于BP神经网络的主要污染指标预测模型,并对其进行训练检验,结果证明该模型预测精度满足要求,再利用训练、检验后的模型对近几年主要污染因子进行预测,发现了变化规律,最后提出南渡江污染防治措施。     

Development of novel combustion risk index for flammable liquids based on unsupervised clustering algorithms

Current liquid flammability classification mainly relies on flash point and its risk is largely dependent on consequence and probability. However, combustions of liquefied marine fuels have their uniqueness, leading to a less consistent with the common classification. This work aims at classifying flammable liquids in compression ignition engines for further safety evaluation. Besides liquid flammability characteristics, flame propagation and aerosol formulation are considered. Two unsupervised machine learning clustering algorithms, k-means and spectral clustering, are applied to the collected liquid compounds database. To consider both cluster cohesion and separation, the global mean silhouette value is used to find the optimal number of clusters and to evaluate the clustering performance. The results show that the spectral clustering outperforms k-means on classifying the risk ratings for all proposed models, while the clustering accuracy of the optimal model has been doubled by employing spectral clustering algorithm. Moreover, principal component analysis and star coordinate diagrams are presented to visualize high dimensional data to 2-D graphs. Finally, the overall liquid safety performance is evaluated by a novel combustion risk index via the weight values determined by the information entropy approach. This index can be used to explore inherently safer fuels in the process industries.     

Effect of Al2O3 particle size reduction on aluminium dust explosion

To investigate the effect of Al₂O₃ particle size on an aluminum explosion, the overpressure and flame velocity in a vertical duct were evaluated. The results show that the inhibitory effect of submicron Al₂O₃ is best, while the inhibitory effect increases with increasing inerting ratio. However, the inhibitory effect of micron Al₂O₃ does not increase significantly after the inerting ratio exceeds 40%. For high-concentration aluminum powder, 0.8 μm Al₂O₃ with an inerting ratio less than 20% promotes aluminum explosion. As the inerting ratio increases beyond 20%, however, the overpressure decreases. Furthermore, Al₂O₃ inhibits the formation of the intermediate product AlO and decreases the flame brightness. As the inerting ratio of 0.8 μm Al₂O₃ reaches 50%, the white patches in the flame image disappear. The results of scanning electron microscopy showed that the explosion products agglomerate and some dot-like protrusions appear on the surface of the unburned aluminum particles. The inhibition mechanism was qualitatively investigated. Physical heat absorption is proven to play a limited role. Thermal radiation and chemical inhibition play a key role. The chemical effect mainly influences the surface reaction energy source.     

疲劳裂纹扩展对高强钢电化学性能的影响

采用线性极化、电化学交流阻抗等方法,研究了施加疲劳载荷前后高强钢在质量分数为3.5%的NaCl溶液中的电化学行为.结果表明,施加疲劳载荷后,开路电位变化值在裂纹扩展过程中经历先负移后稳定最后稍有正移,由线性极化和交流阻抗拟合得到的极化电阻都呈先增大后减小的趋势.     

改进组件树在隧道裂缝识别中的应用*

为提高衬砌裂缝病害事故隐患识别率,解决隧道表面普遍存在的对比度低、噪声污染严重、光照不均匀等问题,采用Retinex方法对图像进行噪声抑制和细节增强,结合组件树算法快速建立组件树并剪枝,建立1种新的隧道衬砌裂缝识别算法。研究结果表明:改进后的算法可有效平衡图像光照,保护图像中裂缝边缘信息,识别精度大于95%。研究结果可为识别隧道裂缝引起的安全隐患提供新的方法。