可拓法评估煤矿瓦斯爆炸易发性

为了量化煤矿瓦斯爆炸的可能性,并为防治瓦斯爆炸提供量化指标,借鉴可拓学原理,对煤矿瓦斯爆炸易发性进行预评估。首先,详细阐述可拓学评估原理;接着,为了验证煤矿瓦斯爆炸易发性可拓评估的可行性,结合某一煤矿实例,比选煤矿瓦斯爆炸易发性的评价指标,并确定煤矿瓦斯爆炸易发性的分类标准,构建煤矿瓦斯爆炸易发性评估的经典域、节域和物元;然后,为了避免确定指标权重的人为主观因素的影响,提出用简单关联函数确定指标权重;最后,计算煤矿瓦斯爆炸易发性的关联函数值和关联度,确定瓦斯爆炸易发性的等级及其变量特征值。经计算,煤矿爆炸易发性的可拓评估结果为"很小"等级。同时,为了验证可拓评估结果的合理性,将其与模糊评估进行比较,两者所得评估结果相一致。从而表明:将可拓学应用于煤矿瓦斯爆炸易发性评估是合理可行的。     

用改性活性碳纤维去除CO2原料气中的H2S

采用固定床动态吸附实验，用改性活性碳纤维（ACF）吸附去除CO2原料气中的H2S。通过改变改性剂种类、反应温度和原料气中CO2浓度，找出用改性ACF去除CO2原料气中H2S的规律。实验结果表明：常温下，可用NaON改性的ACF来消除CO2的酸性对去除H2S的不利影响；随着反应温度的升高，CO2与ACF形成的C（O＊）中间产物增多，CO2的存在有利于改性ACF去除H2S；而当反应温度过高时，CO2与ACF形成的C（O＊）中间产物发生分解，导致ACF碳化，不利于H2S的吸附去除。     

催化湿式氧化法处理吡虫啉农药废水

自制了Cu／Mn，Cu／Ce，Cu／Ni，Ce／Mn，Ce／Ag等催化剂，经过性能比较，选择催化活性较高且金属溶出量较小的Cu／Ni作催化剂。用催化湿式氧化法处理吡虫啉农药废水，考察了各种因素对处理效果的影响。实验结果表明：在进水pH为6．93、Cu／Ni加入量为4．0g、反应温度为190oC、氧分压为1．6MPa、反应时间为120min的条件下，COD去除率为95％；处理后废水的BOD5／COD从0．093增至0．590，可生化性明显改善。     

通过工伤案例分析 完善企业管理

劳动者与用人单位之间因享受工伤（亡）待遇问题引起的争议在劳动争议案例中占有很大比重.从争议的问题来看,主要集中在以下几个方面：劳动关系的认定,工伤认定,伤残等级鉴定的问题.那么如何来改善这种状况呢？这涉及到宏观的法律制度完善,微观的各种从业人员的理论、专业素质提高,法律意识加强等诸多方面.     

Global sensitivity analysis of a process-based model for ammonia emissions from manure storage and treatment structures

The development of process-based models to estimate ammonia emissions from animal feeding operations (AFOSs) is sought to replace costly and time-consuming direct measurements. Critical to process-based model development is conducting sensitivity analysis to determine the input parameters and their interactions that contribute most to the variance of the model output. Global and relative sensitivity analyses were applied to a process-based model for predicting ammonia emissions from the surface of anaerobic lagoons for treating and storing manure. The objectives were to compare global sensitivity analysis (GSA) to relative (local) sensitivity analysis (RSA) on a process-based model for ammonia emissions. Based on the first-order coefficient, both GSA and RSA showed the model input parameters in order of importance in process model for ammonia emissions from lagoon surfaces were: (i) pH, (ii) lagoon liquid temperature, (iii) wind speed above the lagoon surface, and (iv) the concentration of ammoniacal nitrogen in the lagoon. The GSA revealed that interactions between model parameters accounted for over two-thirds of the model variance, a result that cannot be achieved using traditional RSA. Also, the GSA showed that parameter interactions involving liquid pH had more impact on the model output variance than the single parameters: (i) temperature, (ii) wind speed, or (iii) total ammoniacal nitrogen. This study demonstrates that GSA provides a more complete analysis of model input parameters and their interactions on the model output compared to RSA. A comprehensive tutorial regarding the application of GSA to a process model is presented.     

地裂缝上框架结构的抗震性能分析

地裂缝是严重影响我国人类生活、生产建设的主要地质灾害之一,是一种独特的地质灾害,近年来已引起人们的关注,它广泛分布于全国许多地方。框架结构是一种广泛使用的结构形式。由于人类活动或地质构造运动形成地裂缝,进而造成房屋开裂或倾斜。该文针对位于抗震设防区的框架结构房屋,分别用底部剪力法和PKPM静力分析法,来定量研究在地裂缝影响下框架结构的抗震性能,为双重灾害影响下结构抗震鉴定加固提供依据。     

Shape memory polymer snap-fits for active disassembly

This paper explores a means to simplify disassembly by engineering a snap-fit that automatically releases upon exposure to a heat field thus limiting manual labor or machine operation for disassembly. Shape memory polymer (SMP) snap-fits were designed and manufactured to actively release upon a thermal trigger. Snap-fits were designed with an added feature known here as a release angle that would allow for an uninterrupted movement for disassembly in the presence of an elevated temperature. SMP snap-fits were then manufactured and tested. Testing was performed for demonstration of the active release of the SMP snap-fits and for analysis of active disassembly (AD) process parameters. Taguchi methods were used to analyze the AD process parameters, including heating method and disassembly temperature. The results from this research show the successful demonstration of the SMP snap-fits within a manufactured product housing. AD process parameter analysis shows that both the heating method and temperature affect the AD process. The analysis determines that by increasing the heat exchange rate the snap-fit disassembly time is shortened. From the performed experiments, it was seen that an Oil bath at 150 °C produced the best results in regards to disassembly time and signal-noise ratio. The results from experimentation demonstrate the possibility of acceptable heat-releasable fasteners for more efficient disassembly and exhibit benefits over current AD elements comprised of shape memory alloys.