声波辅助清灰袋滤器的研究

通过改变声波的频率、声压等参数,观察了单独反吹清灰和声波辅助反吹清灰的试验结果。试验证明,声波能有效地降低滤袋的残余阻力和残留粉尘重量。     

用动力波逆向喷射洗涤器脱除烟气中的二氧化硫

介绍了动力波逆向喷射洗涤器的构造及基本原理,并将这一新型洗涤技术应用于烟气脱硫。讨论了各种因素对采用石灰水作为洗涤液时的烟气脱硫率的影响,在pH为9．2、液气比为0．024条件下,脱硫率可达到90％。     

地下弹药库爆炸产生的地面空气冲击波的估算与数据值模拟

对某地下弹药库爆炸冲击波传播过程进行了较详细的分析和数值模拟,得到了弹药爆炸时地面空气冲击波的等效经验计算公式。两种方法得到的不同距离的冲击波超压值基本一致。     

激波与森林作用的实验研究

利用激波与森林的作用,有可能成为森林灭火中的一项新技术,本文报告了激波与林带作用的实验模拟方法,实验技术与装备,测试和显示手段等基本技术环节。激波在林地,林带中的传播和衰减,以及其它物理现象由纹影方法作了显示。激波诱导的压力场也作了测量。研究表明,以激波管为基础的模拟技术是成功的,实验结果对于进一步认识激波与林冠火阵面的相互作用有很好的先导意义。     

气相色谱分析中样品介质不同对分析结果的影响

分析了用甲醇、乙酸乙酯和二硫化碳3种不同极性的介质配制的4种苯系物样品,在不同极性的石英毛细柱、不同的分流比、宽口径石英毛细柱、宽口径玻璃毛细柱和玻璃填充柱上的测量结果。指出不同介质的有机化合物样品在气相色谱上分析时,色谱柱的极性(非极性、中等极性、强极性)、色谱柱类型(毛细柱、宽口径毛细柱、填充柱)、分流比的大小、进样方式(分流、不分流)都对数据的一致性产生影响,但采用不分流方式的宽口径毛细柱或填充柱分析可使分析结果具有一致性或更准确。     

Experimental study on pollutant movement in surf zone

The experiments on pollutant movement in surf zone were conducted on the two gentle beaches(with slope of 1:100 and 1:40, respectively), for diverse wave cases. The movement contours and direction of pollutants, under the action of regular and random waves with diverse wave amplitudes, were provided and studied in this paper. It was shown that, due to complicated hydrodynamics in surf zone, the pollutant movement state is quite complicated and different from that in pure current zone.     

某海域极端环境下15万吨级FPSO波浪荷载数值研究

目的 评估在役15万吨级FPSO在某海域百年一遇极端波浪作用下典型横剖面的水动力特性,进而得到FPSO的极值荷载,作为FPSO返坞改造的关键控制参数。方法 基于国产自主三维频域线性势流软件COMPASS-WALCS,建立15万吨级FPSO湿表面网格模型,根据三维绕射-辐射理论,计算湿表面上的水动力荷载,将每个绕射单元上的水动压力直接映射到结构模型上进行计算。采用谱分析方法对百年一遇海况进行分析,得到短期运动极值响应。对响应幅值算子(RAO)和波能谱密度进行谱分析,得到极端波浪下的响应谱,进而得到浮体运动和波浪荷载短期预报各种统计值,利用统计方法求得短期响应的最大值。结果 计算了船中部Fr143横剖面的载荷极值,即垂向弯矩、垂向剪力、剖面型心加速度等,发现船舶迎浪时弯矩值最大,随着浪向角增大,弯矩值逐渐减小,剖面垂向剪力则随着浪向角增大逐渐增大。结论 FPSO在极端波浪作用下,其大迎浪角条件下荷载更加危险,需要给予格外关注。     

超声导波技术在长输管道跨越段腐蚀检测中的应用

管道跨越段的检测一直是管道检验检测的难题之一,本文运用英国TWI集团Teletest F0CUS+MK4导波设备,对某在役的长输管道,综合选择了河流、沟壑、高速公路、水渠等多种不同服役环境管段,管後DN200至DN350不等6个跨越段进行检测,并进行案例分析。实践表明,导波检测技术对跨越段管道的单边检测距离在100右,且对管体内外壁缺陷能够全覆盖检测;导波检测的可靠性能够满足实际工程的要求。     

Prediction of BLEVE mechanical energy by implementation of artificial neural network

In the event of a BLEVE, the overpressure wave can cause important effects over a certain area. Several thermodynamic assumptions have been proposed as the basis for developing methodologies to predict both the mechanical energy associated to such a wave and the peak overpressure. According to a recent comparative analysis, methods based on real gas behavior and adiabatic irreversible expansion assumptions can give a good estimation of this energy. In this communication, the Artificial Neural Network (ANN) approach has been implemented to predict the BLEVE mechanical energy for the case of propane and butane. Temperature and vessel filling degree at failure have been considered as input parameters (plus vessel volume), and the BLEVE blast energy has been estimated as output data by the ANN model. A Bayesian Regularization algorithm was chosen as the three-layer backpropagation training algorithm. Based on the neurons optimization process, the number of neurons at the hidden layer was five in the case of propane and four in the case of butane. The transfer function applied in this layer was a sigmoid, because it had an easy and straightforward differentiation for using in the backpropagation algorithm. For the output layer, the number of neurons had to be one in both cases, and the transfer function was purelin (linear). The model performance has been compared with experimental values, proving that the mechanical energy of a BLEVE explosion can be adequately predicted with the Artificial Neural Network approach.     

正交设计法在刺叶墙藓土培中的应用

采用正交设计,研究了新疆的一种荒漠苔藓——刺叶墙藓的最适生长条件,包括最适基质、最适生长温度及最佳培养液的筛选。结果表明,5℃(8h)～15℃(16h)的温度,田土+砂+营养土的基质,最适合刺叶墙藓的生长;培养液的种类对其生长的影响并不明显。