地震动入射角度对地下结构地震响应的影响

考虑土-结构接触面效应和场地初始静应力影响,基于大型商用有限元软件ANSYS和粘弹性人工边界条件,采用动力松弛法的分析思路,建立了一种地震动斜入射条件下地下结构的接触非线性动力反应分析模型和方法,并讨论了地震动入射角度对地下结构动力反应的影响。结果表明:地震波斜入射使得结构的整体反应发生明显变化;随着入射角度的增加,节点的水平向应力反应明显增大,竖向应力峰值较小,增大程度也相对较小;节点的位移峰值随输入加速度峰值的增大也有一定的变化。因此,在分析近源地震作用下的地下结构动力响应时,需要考虑地震动的非一致输入问题。     

电波暗室场地电压驻波比标准测试法介绍和分析

场地电压驻波比(SVSWR)测试方法作为一种新的电磁兼容电波暗室评估方法,可以很好地解决归一化场地衰减(NSA)测试法中天线不能均匀有效地照射在暗室内的所有墙壁上的问题.介绍了CISPR16-1-4:2007标准中对电波暗室在1 GHz以上的场地电压驻波比的规定,详细说明了电波暗室场地电压驻波比的测试原理、目的和使用天...     

荧光光谱法快速检测土壤中荧光烃类污染物

探讨了正己烷、石油醚及二氯甲烷∶正己烷(1∶2,体积比)混和液三种溶剂浸泡或超声波萃取与荧光光谱相结合测定土壤中荧光烃类污染物的方法,并为了验证方法有效性,对典型煤矿区93个土壤样品中的荧光烃类进行了快速检测。结果表明,采用二氯甲烷∶正己烷(1∶2,体积比)混和液超声波萃取土壤中荧光烃类,耗时短,萃取能力较强。对于具有大量土壤样品的研究区域,超声波萃取与荧光光谱法相结合可大大缩短土壤样品中总荧光烃类污染物的检测时间,进而可快速获知某一研究区内土壤环境中荧光烃类污染物的空间分异规律及相对污染程度,具有一定的应用价值。     

紫外光-超声波协同降解苯酚水溶液的研究

有机酚类化合物造成的水体的污染,直接危害着人类的健康和生态环境,如何有效地处理环境水样中有机酚类化合物,是当今人们普遍关注的一个问题。以苯酚水溶液为研究对象,在紫外光和功率为150 W、40 kHz超声波的协同作用下,对苯酚的降解效率和降解规律进行了初步的研究,讨论了溶液的酸度、光辐射的时间、H2O2及Fe2 (FeSO4)等因素对苯酚溶液降解的影响,结果表明,单一超声波对苯酚的降解率很低,不超过6.5%。在紫外光一超声波协同辐射60 min,溶液的pH值为3-4,加入6%H2O2 4 mL,加入0.1 nmol·L-1Fe2 (FeSO4)1.6 mL,可达到91.8%的降解率。试验证明,利用紫外光-超声波协同照射是降解苯酚的一种有效方法。     

超声波诱导降解甲胺磷的研究

本文报道了功率超声诱导化学降解低浓度甲胺磷农药模拟废水的新方法.考察了声强、辐射时间、介质温度、初始pH值、外加Fe2+或H2O2等因素对其超声化学降解的影响.试验结果表明,甲胺磷水溶液的初始浓度为1.0×10-4mol.l-1, pH0为2.5,介质温度30℃,Fe2+加入量为50mg.l-1,溶液中充入氧气饱和,经80W.cm-2功率超声辐射2h,其CODCr平均去除率达99.3%,甲胺磷的平均降解率为99.6%.     

岩土介质动静力学参数与介质物理组构参数之间的关系

岩土体是地质历史的产物,有着特定的物质组分和结构构造,从而表现出复杂的工程力学性质。为研究岩土介质动、静力学参数与岩土介质物理组构参数三者的关系,文章结合工程岩土体勘察评价,对岩土介质进行了一系列物理力学测试和波动测试,取得了一定量的测试数据。分析中特别关注了岩土介质的弹性波速与介质密度之间的关系。研究发现,岩样和土样波速与密度测试值在波速-密度参数空间中展现出了几种相对性:整体有序与局部混沌的相对性、分布域位置和结构的确定与域内参数随机分布的相对性、在某一分布域内整体样本无序与各类子样本有序的相对性。把握这几种相对性对于岩土介质的理论研究和工程应用都十分有意义。     

基于激波理论的新兴煤矿煤与瓦斯突出事故研究

通过分析新兴煤矿煤与瓦斯突出事故,发现在事故中由于煤与瓦斯突出事故诱发了激波的生成,瞬间产生的巨大超压,引起风流逆向,大量瓦斯随逆向风流从突出地点扩散传播至二水平,接触卸载巷电机车架空线所产生的电火花,从而引发瓦斯爆炸事故。提出了突出激波对事故的影响并分析了突出激波的形成及其破坏作用,研究了影响突出激波破坏作用的影响因素,得出参与突出的瓦斯量和瓦斯压力是影响激波强度的关键因素。有助于了解突出后的气流动力演化规律,并为煤与瓦斯突出事故的防灾、救灾措施的制定以及提高矿井的抗灾能力提供了参考。     

Influence of laneway support spacing on methane/air explosion shock wave

A laneway support system provides an available way to solve problems related to ground movements in underground coal mines, but also poses another potential hazard. Once a methane/air explosion occurs in a laneway, inappropriate design parameters of the support system, especially the support spacing, likely have a negative influence on explosion disaster effects. The commercial software package AutoReaGas, a computational fluid dynamics code suitable for gas explosions, was used to carry out the numerical investigation for the methane/air explosion and blast process in a straight laneway with different support spacing. The validity of the numerical method was verified by the methane/air explosion experiment in a steel tube. Laneway supports can promote the development of turbulence and explosion, and also inhibit the propagation of flame and shock wave. For the design parameters in actual laneway projects, the fluid dynamic drag due to the laneway support plays a predominant role in a methane/air explosion. There is an uneven distribution of the peak overpressure on the same cross section in the laneway, and the largest overpressure is near the laneway walls. Different support spacing can cause obvious differences for the distributions of the shock wave overpressure and impulse. Under comparable conditions, the greater destructive effects of explosion shock wave are seen for the laneway support system with larger spacing. The results presented in this work provide a theoretical basis for the optimized design of the support system in coal laneways and the related safety assessments.     

Rockburst hazard determination by using computed tomography technology in deep workface

The rockburst in mines results from the dynamic load coupled with static one in coal seams around workface zones, so it is essential to learn the stress distribution of the coal and surrounding rock for determination of rockburst risk areas. The relationship between the elastic wave velocity and stress applied on coal sample was investigated systematically by laboratory testing, theoretically analysis, as well as on-site observation, and a positive correlation between them under uniaxial compression was put forward. Furthermore, it is drawn that the anomaly of elastic wave velocity reflects the stress changes: the positive anomaly ascertains the stress concentration while the negative anomaly estimates the mining destress and weaken degree, and corresponding assessment criterions and parameters were established respectively. The hazard areas and degree of an island longwall face 16302C were forecasted before coal winning based on the elastic wave anomaly distribution rules using active tremor velocity inversion, monitoring results of mining shocks during exploitation indicate that the consistency between locations of big tremors and where forecasted by computed tomography (CT) exceed 80%. The successful application of this technology achieved remarkable economic and social benefits for disaster control in rockburst mines.     

Predicting non-carcinogenic hazard quotients of heavy metals in pepper (Capsicum annum L.) utilizing electromagnetic waves

• There was significant absorption of heavy metals by the pepper in contaminated soils. • The target hazard quotient (THQ) indices followed the order of Pb>Zn>>Cd » Ni. • Relationships exist between contaminated plants and electromagnetic wave. • PCA and random search can select the main spectra and predict THQ for each element. Given the tendency of heavy metals to accumulate in soil and plants, the purpose of this study was to determine the contamination levels of Cd, Ni, Pb, and Zn on peppers (leaves and fruit) grown in contaminated soils in industrial centers. For this purpose, we measured the uptake of the four heavy metals by peppers grown in the heavy metal contaminated soils throughout the four growth stages: two-leaf, growth, flowering, and fruiting, and calculated various vegetation indices to evaluate the heavy metal contamination potentials. Electromagnetic waves were also applied for analyzing the responses of the target plants to various heavy metals. Based on the relevant spectral bands identified by principal component analysis (PCA) and random search methods, a regression method was then employed to determine the most optimal spectral bands for estimating the target hazard quotient (THQ). The THQ was found to be the highest in the plants contaminated by Pb (THQ= 62) and Zn (THQ= 5.07). The results of PCA and random search indicated that the spectra at the bands of b₅₇₀, b₆₅₀, and b₇₆₀ for Pb, b₄₀₀ and b₁₀₃₀ for Ni, b₄₀₀ and b₈₈₀ for Cd, and b₅₆₀, b₉₁₀, and b₁₀₅₀ for Zn were the most optimal spectra for assessing THQ. Therefore, in future studies, instead of examining the amount of heavy metals in plants by chemical analysis in the laboratory, the responses of the plants to the electromagnetic waves in the identified bands can be readily investigated in the field based on the established correlations.