Failure mode and effect analysis using regret theory and PROMETHEE under linguistic neutrosophic context

Failure mode and effect analysis (FMEA), which aims to identify and assess potential failure modes in a system, has been widely utilized in diverse areas for improving and enhancing the performance of systems due to it is a powerful and useful risk and reliability assessment instrument. However, the conventional FMEA approach has been suffered several criticisms for it has some shortcomings, such as unable to handle ambiguous and uncertain information, neglect the relative weights of risk criteria, and without considering the psychological behaviors of decision-makers. To ameliorate these limitations, this paper aims at establishing a hybrid risk ranking model of FMEA via combing linguistic neutrosophic numbers, regret theory, and PROMETHEE (Preference ranking organization method for enrichment evaluation) approach. In the presented model, linguistic neutrosophic numbers are adopted to capture decision-makers’ evaluation regarding the failure modes on each risk criterion. A modified PROMETHEE approach based on regret theory is presented to obtain the risk priority of failure modes considering the psychological behaviors of decision-makers. Moreover, a maximizing deviation model and TOPSIS (Technique for order preference similar to ideal solution) are separately applied to derive the weights of risk criteria and decision-makers. Finally, a numerical example relating to the supercritical water gasification system is employed to implement the presented method, and the effectiveness and feasibility of the proposed model are validated by the results derived from a sensitivity and comparison analysis.     

热力耦合作用对桩及桩间土拱效应的影响研究*

为研究负温对桩侧应力及桩间土拱效应的影响，通过FLAC3D软件模拟热力耦合作用下新型排桩冻结法中桩间土拱效应的变化及温度效应下的桩间距，并根据巴霍尔金单排管冻结稳态温度场解析解，建立冻结壁平均温度区域解。研究结果表明:桩土接触面的应力分量τxy近似线性变化，应力分量σx近似均匀分布，温度降低对应力分量τxy的分布影响较小，但对应力分量σx的影响较大；负温使桩间距发生变化，且整体平均应力的分布也更加均匀化；通过与巴霍尔金解析解对比，证明单排管冻结温度场模型的可行性，在此基础上建立的单排管冻结壁平均温度区域解，其与数值模拟结果相差不超过1 ℃，计算误差满足工程要求；随着冻结时间的增加，单排管冻结壁温度场呈抛物线形式降低。     

生态补偿助力脱贫攻坚：协同、拮抗与对接

中央政府提出的“生态补偿脱贫一批”标志着生态补偿扶贫正逐步成为我国打赢脱贫攻坚战的重要途径之一。2020年是脱贫攻坚战的决胜之年，生态补偿如何有效助力脱贫攻坚成为研究的热点。本文以实践与政策为导向，运用文献研究法和逻辑分析法，在厘清生态补偿扶贫理念形成与发展的基础上，解析生态补偿与脱贫攻坚之间存在的协同效应和拮抗效应。研究发现生态补偿与脱贫攻坚在地理空间位置、实施主客体、标准、方式和途径等方面相耦合容易产生协同效应，在价值诉求、农户资源禀赋、政府部门工作等方面矛盾产生拮抗效应。生态补偿有效助力脱贫攻坚的关键在于构建对接机制以强化协同效应、弱化或去除拮抗效应。为此，通过建立精准的瞄准制度、稳定脱贫的长效机制、政府部门内部生态补偿扶贫协调机制等举措，构建生态补偿与脱贫攻坚的对接机制，以促进二者高效协同发展。     

Dynamic pressure induced by a methane–air explosion in a coal mine

The hazardous effect of dynamic pressure and strong gas flows induced by a methane–air mixture explosion in underground coal mines is studied. The dynamic pressure effect of a methane–air explosion was analyzed by numerical simulation, in a duct and tunnel. Compared to the overpressure generated by an explosion that can act on a body, the dynamic pressure caused by the high-speed flow of the gaseous combustion products can cause serious damage as well. At the structural opening of a coal mine, the destruction caused by the dynamic pressure induced by a methane–air explosion is more serious than the overpressure. For a tube or tunnel partially filled by a methane–air mixture, the dynamic pressure is lower than the overpressure in the region occupied by the flammable mixture. Beyond the premixed region, the dynamic pressure is of the same order of magnitude as the overpressure.     

光/电法氨氮降解过程中协同作用的研究

为了研究光/电法在氨氮降解过程中的协同作用,采用光/电法降解模拟工业循环冷却水中的氨氮,并对氨氮降解过程中的各影响因素进行了研究,考察了氯离子浓度和溶液p H对降解效率的影响。结果表明,与传统的光催化法和电化学法相比,光/电法在氨氮降解过程中存在良好的协同效应,因而具有更高的氨氮去除率,这主要归功于溶液氯离子的促进作用。另外,在酸性条件下,氨氮降解效率得到进一步加强。当p H在4~5之间,电流密度为10 m A/cm2,Na Cl浓度为100 mg/L时,在经过90 min光/电法处理后氨氮去除率高达95%,且N2占总氨氮降解产物的84.2%。     

生物活性炭法深度处理印染废水及其生物毒性的表征

采用负载经驯化后微生物的活性炭深度处理实际印染废水,研究生物活性炭系统中存在的生物相及其降解有机污染物的作用,并表征了处理后印染废水的生物毒性.结果表明,生物相中含有草履虫、轮虫及钟虫等原生动物.随着运行次数的增加,活性炭反应器在运行5次后出水的COD、NH3-N及色度去除率骤降,但是生物活性炭处理后出水的COD、NH3-N及色度去除率缓慢下降.生物活性炭能很好地降解印染废水中的苯酚类和稠环芳烃污染物.本研究中生物活性炭反应器对氨氮和COD的去除符合一级动力学方程,去除动力学常数分别为1.02和0.96.经过生物活性炭的处理可以将印染废水的生物毒性降到适于小球藻生长的水平.     

APSFZn在富营养化湖泊型水体中的应用

采用复合共聚法制备一种新型无机高分子絮凝剂凹凸棒-聚硅酸铁锌(APSFZn),并应用于富营养化湖泊型原水的实验研究。考察了水体p H、投加量、搅拌强度影响因素对絮凝效果的影响。研究表明,APSFZn具有较宽的p H使用范围。当p H为7.6、投加量为20 mg/L、搅拌强度为快搅速度200 r/min,快搅时间2 min,慢搅速度50 r/min,慢搅时间15 min时,APSFZn絮凝剂对Chl-a、CODMn、TP和TN的去除率分别为91.57%、87.11%、93.48%和48.98%。与传统絮凝剂PAC、PFS、PSFZn对比,APSFZn的絮凝效果明显优于传统絮凝剂。该絮凝剂制备简单、具有良好的稳定性和絮凝特性、工艺无二次污染,将APSFZn应用于富营养化湖泊型原水具有良好的絮凝效果。     

采用水解酸化-复合好氧处理制药工业废水的工艺评价

以制药工业综合废水处理为例对其采用的两级水解酸化复合好氧工艺的处理效果进行评估。按常规指标进行评估,该工艺对于制药综合废水的处理效果达到了设计目的,COD去除率可达到78.2%以上,NH+4-N的去除率达到99.3%,出水质量基本满足"污水综合排放标准(GB8978-1996)"二级标准和"辽宁省污水综合排放标准(DB21.1627-2008)";急性毒性的检测表明,经过该工艺处理后出水为低毒性;三维荧光谱分析(EEM)表明,制药综合废水经生物处理后的可溶性有机物中仍然存在难降解物质,建议增加物化处理以提高处理效果;并且制药废水经处理后的出水中的盐度对排入的生态系统存在风险,建议纳入排放标准以加强管理。     

大气压等离子体射流对水中铜绿微囊藻的灭活作用

以铜绿微囊藻为研究对象,将空气源大气压等离子体射流(APPJ)引入到液相,构建新型的大气压等离子体射流液相反应体系,考察了不同APPJ处理方式对铜绿微囊藻的灭活效率,观察了放电处理的藻细胞形态,分析了培养基p H的变化和液相产生的主要活性物质(H2O2和O3)对藻灭活的作用,并探讨了APPJ灭活铜绿微囊藻的作用机理。研究结果表明,当电压为7 k V,空气气体流速为4 L/min,藻液吸光度约为0.200,铜绿微囊藻的灭活率达到99.16%;处理后的藻发生细胞变形和破裂;处理后的藻液中产生H2O2和O3等活性物质,同时产生大量的NO-3和NO-2离子,导致液相p H迅速下降。通过考察主要活性物质(H2O2和O3)及藻液p H因素发现,单一因素灭活效果不佳,主要活性物质(H2O2和O3)和p H的组合因素是APPJ灭活水中铜绿微囊藻的主要原因。     

A hybrid decision-making approach based on FCM and MOORA for occupational health and safety risk analysis

IntroductionWith the development of industries and increased diversity of their associated hazards, the importance of identifying these hazards and controlling the Occupational Health and Safety (OHS) risks has also dramatically augmented. Currently, there is a serious need for a risk management system to identify and prioritize risks with the aim of providing corrective/preventive measures to minimize the negative consequences of OHS risks. In fact, this system can help the protection of employees’ health and reduction of organizational costs. Method: The present study proposes a hybrid decision-making approach based on the Failure Mode and Effect Analysis (FMEA), Fuzzy Cognitive Map (FCM), and Multi-Objective Optimization on the basis of Ratio Analysis (MOORA) for assessing and prioritizing OHS risks. After identifying the risks and determining the values of the risk assessment criteria via the FMEA technique, the attempt is made to determine the weights of criteria based on their causal relationships through FCM and the hybrid learning algorithm. Then, the risk prioritization is carried out using the MOORA method based on the decision matrix (the output of the FMEA) and the weights of the criteria (the output of the FCM). Results: The results from the implementation of the proposed approach in a manufacturing company reveal that the score at issue can overcome some of the drawbacks of the traditional Risk Priority Number (RPN) in the conventional FMEA, including lack of assignment the different relative importance to the assessment criteria, inability to take into account other important management criteria, lack of consideration of causal relationships among criteria, and high dependence of the prioritization on the experts’ opinions, which finally provides a full and distinct risk prioritization.