我国中小城市生活垃圾优化管理模型

根据我国中小城市生活垃圾基本特点,以区域优化、长期优化和综合处理优化管理为基本准则,以规划系统总处理费用最小为目标,提出我国中小城市生活垃圾处理的优化管理模型程序.模型程序为首先进行基础数据调查与评价,分析系统内生活垃圾状况,之后建立模型方程,通过参数赋值、求解,求出最终优化管理方案,为我国中小城市生活垃圾的运行组织管理和资本运行管理提供科学手段.     

Aerobic Biodegradation of Polymers in Solid-State Conditions: A Review of Environmental and Physicochemical Parameter Settings in Laboratory Simulations

During the last few years, biodegradable polymers have been developed to replace petrochemical polymers. Until now, research devoted to these polymers essentially focused on their biodegradability. There is now a need to bear out their nontoxicity. To verify this, the biodegradation must be carried out in accelerated laboratory tests which allow the metabolites and residues to be recovered. To reproduce the natural conditions (compost, field) as closely as possible, degradation experiments must be run on solid-state substrates. We review studies of aerobic degradation in solid-state substrates. This article focuses in particular on the environmental, physical, and chemical parameters (such as substrate nature, moisture, temperature, C/N ratio, and pH) that influence biodegradation kinetics. This study also aims at finding the solid substrate most adapted to residues and metabolite recovery. The most significant parameters would appear to be the substrate type, moisture content, and temperature. Inert substrates such as vermiculite are well suited to residue extraction. This review also opens the field to new research aimed at optimizing conditions for aerobic solid-state biodegradation and at recovering the metabolites and residues of this degradation process.     

减速机齿轮表面探伤优化选择

采用模糊集的贴近度计算对齿轮表面探伤方法进行了优化选择,表明旋转磁场探伤是齿轮表面探伤的最佳方法,在实用中检测出大量的正在延伸扩展的表面疲劳裂纹.     

On the use of correlated beta random variables with animal population modelling

We give reasons why demographic parameters such as survival and reproduction rates are often modelled well in stochastic population simulation using beta distributions. In practice, it is frequently expected that these parameters will be correlated, for example with survival rates for all age classes tending to be high or low in the same year. We therefore discuss a method for producing correlated beta random variables by transforming correlated normal random variables, and show how it can be applied in practice by means of a simple example. We also note how the same approach can be used to produce correlated uniform, triangular, and exponential random variables.     

基于随机有限元可靠度的RC结构抗火设计参数优化方法

本文较详细地分析了各设计参数对RC结构抗火能力的影响。在已知结构抗火功能函数的基础上利用随机有限元可靠度的计算方法分析各参数对结构抗火能力的敏感性,根据各参数敏感性的不同,在设计时有意识地对该参数作一些较小的变动,结构的可靠度会明显的增加从而提高了结构的抗火能力。为RC结构抗火设计提供了一种参数优化的方法。     

海上溢油应急物资调度双目标规划模型

为最大程度降低溢油事故造成的不利影响,提出充分考虑海上油膜漂移特性及溢油点和漂移点对救援物资需求不确定等特点,基于鲁棒优化思想,建立救援应急成本最小、应急时间最短的双目标规划模型,并基于NSGA-Ⅱ算法设计求解方法。结果表明:决策者可根据自身对溢油事故规模的判断,得到不同应急物资调度方案,为应急出救点的选择和物资调度提供合理决策依据。     

基于链式多重插补的WOA-ELM煤与瓦斯突出预测模型

为了提高缺失数据下煤与瓦斯突出预测准确率,提出1种基于链式支持向量机多重插补(MICE＿SVM)的鲸鱼优化算法(WOA)-极限学习机(ELM)预测模型,以淮南朱集矿区为例,选取5个煤与瓦斯突出影响指标作为模型特征,采用提出的MICE＿SVM算法插补突出事故数据中缺失值,利用WOA优选ELM输入层权值及隐含层阈值,构建煤与瓦斯突出预测模型,将插补后数据用于WOA-ELM模型的训练与测试,并与其他模型的预测效果对比。研究结果表明：MICE＿SVM插补前、后的有突出数据预测准确率分别为83.02%,90.41%,MICE＿SVM显著提高了有突出预测准确率,对无突出和整体的预测准确率提高不明显;数据插补后WOA优化ELM对无突出、有突出和整体的预测准确率分别为97.94%,96.25%,96.48%,较优化前分别提高了5.79%,5.84%,5.55%,数据插补后WOA-ELM为最佳预测模型。     

低强度超声波与酸、碱协同对污泥溶胞的影响

在能量密度为0.05W·mL-1和pH范围3.0～12.0条件下,研究了超声波辐射与酸、碱协同对污泥溶胞效果的影响.结果表明,溶解性化学需氧量(SCOD)、溶解性磷(SP)和溶解性糖(SA)含量随pH增大均呈先降后升趋势.当pH为3.0时,污泥溶胞效果不高,随污泥溶液碱性增强,SCOD、SP和SA含量随pH呈指数增长,说明强碱性环境有利于污泥溶胞.超声波辐射可显著提高污泥溶胞率,而且pH越大超声波辐射改善的溶胞效率越高.pH=11.0时超声波辐射60min以内,SCOD、SP和SA含量与时间均呈线性关系,超声波/碱协同污泥溶胞为一级反应.pH大于9.0的碱性条件下,超声波辐射和提高pH均可降低VSS/TSS.依据实验数据,应用非线性优化技术得到SCOD与pH和超声波辐射时间的数学模型,其平均相对误差小于2.6%.     

微波、毫米波电磁材料特性及参数宽频带测试方法

讨论一种微波、毫米波电磁材料特性和参数宽频带测量方法——自由空间法。给出了该测量方法的测试原理和基于国产AV3630幅相接收机为基础的测试系统构成及系统扩频方法,论述了自由空间测试法需注意的关键技术问题。     

污泥水磷和有机物同步混凝去除的多目标优化技术研究

通过引入多响应值的归一化评分法进行了污泥水磷和有机物同步混凝去除的多目标优化,并利用响应面(RSM)技术考察了Al/P比、聚丙烯酰胺(PAM)投加量和悬浮固体(SS)浓度对污染物去除的单独效应和联合效应.结果表明,复合投加聚合氯化铝和PAM能同步去除污泥水中磷和有机物,并改善沉降效果.归一化后单目标RSM优化显示,对污泥水中磷和有机物同步去除的贡献为Al/P比SS浓度PAM投加量.在最优条件Al/P比为3、PAM浓度为1.22 mg·L~(-1)、SS浓度为3.58 g·~(L-1)的条件下,正磷和总有机碳去除率分别为93.1%和53.9%.与多响应变量优化相比,引入归一化评分法有效解决了变量间数值量级差异的问题,使结果的分析计算变得简单方便.