Multiobjective optimisation method for life-cycle design of mechanical products

Manufacturing that minimises the exhaustion of natural resources, energy used and deleterious environmental impact is increasingly demanded by societies that seek to protect global environments as much as possible. To achieve this, life-cycle design (LCD) is an essential component of product design scenarios; however, LCD approaches have not been well integrated in optimal design methods that support quantitative decision-making. This study presents a method that yields quantitative solutions through optimisation analysis of a basic product design incorporating life-cycle considerations. We consider two types of optimisation approaches that have different aims, namely, (1) to reduce the use of raw materials and energy consumption and (2) to facilitate the reuse of the product or its parts when it reaches the end of its useful life. We also focus on how the optimisation results differ according to the approach used, from the viewpoint of the 3R concept (Reduce, Reuse and Recycling). Our method obtains optimum solutions by evaluating objectives fitted to each of these two optimisation approaches with respect to the product's life-cycle stages, which are manufacturing, use, maintenance, disposal, reuse and recycling. As an applied example, a simple linear robot model is presented, and Pareto optimum solutions are obtained for the multiobjective optimisation problem whose evaluated objectives are the operating accuracy of the robot and the different life-cycle costs for the two approaches. The characteristics of the evaluated objectives and design variables, as well as the effects of using material characteristics as design parameters, are also examined.     

模糊综合评判法在西部地区高速公路施工现场安全评判中的应用

目前随着高速公路建设的飞速发展,引发了施工现场的安全管理难度剧增,及时、正确地掌握和评判施工现场安全状况是预防和控制安全事故发生的有效途径。但公路施工领域安全评判涉及的因素很多,模糊性大、动态变化复杂是最显著的特性,因素之间互相作用使结果可变性很大,如何对受多种因素制约的事物或对象做出一个总体的评价是目前一个很重要的问题。模糊综合评判法可把定性评价转化为定量评价,能较好地解决模糊的、难以量化的问题。但由于该法使用的评语常带有模糊性,各影响因素的权重通常是专家凭经验给出,从而影响评判结果的客观性。而层次分析法适用于多方案或多目标的决策,可将定性与定量的分析相结合,可以减少评价中因主观性所带来的弊端,使评价结果更可信。本文在研究模糊综合评判法和层次分析法优缺点的基础上,将二者结合起来,建立西部地区高速公路施工现场安全状况评价的模型,利用该模型得出公路施工现场安全状况,为施工现场的安全管理和事故防治提供依据。     

小流域面源污染减控措施优化管理

以长春市重要饮用水源地石头口门水库的莫家沟小流域为研究区,选择横垄耕作、修建梯田、退耕还林、化肥减施和人工湿地5种措施进行磷素削减处理,共计21个措施组合方案;以实施措施的费用最小为目标函数,以水库水质TP浓度和采用不同措施的土地面积为约束条件,建立小流域出口水质优化管理模型。模拟计算3个阶段的可行性最优方案分别为:2011—2020年,选取措施为施肥量不变,现状梯田面积不变,坡度≤5°的耕地采取横垄耕作,其他退耕还林;2021—2030年,在第一阶段实施方案的基础上,新建人工湿地0.03 km2;2031—2050年,全部农田原位退耕还林,保持人工湿地面积不变,最终实现入库水质ρ(TP)≤0.01 mg.L-1的目标。化肥减施和梯田建设面积是影响方案选择的主要因素。     

基于模糊均生函数和最优子集回归的飞行事故率预测

为有效预防飞行事故的发生,针对飞行事故率具有随机波动性和趋势性的特点,采用模糊均生函数(FMGF)和最优子集回归(OSR)建立飞行事故率预测模型。该方法把FMGF延拓序列作为预测因子加入OSR方程,将FMGF分析和因子筛选相结合作OSR,进而对飞行事故率进行预测。通过对美国空军1988—2004年的飞行事故率进行拟合预测,结果表明:将FMGF模型和OSR模型有机结合,能够有效刻画飞行事故率的随机波动特性,并且其预测结果的相对误差也较小。     

污水处理厂优化设计研究进展

本文对城市污水处理厂优化设计研究发展的历史作了回顾 ,对不同时期的几个系统模型作了简单的介绍 ,并提出了城市污水处理厂优化设计研究中几个有待进一步研究的问题。     

OPTIMIZATION OF INTERMITTENT PUMPING SCHEDULES FOR AQUIFER REMEDIATION USING A GENETIC ALGORITHM1

ABSTRACT: Using a genetic algorithm (GA), optimal intermittent pumping schedules were established to simulate pump‐and‐treat remediation of a contaminated aquifer with known hydraulic limitations and a water miscible contaminant, located within the Duke Forest in Durham, North Carolina. The objectives of the optimization model were to minimize total costs, minimize health risks, and maximize the amount of contaminant removed from the aquifer. Stochastic ground water and contaminant transport models were required to provide estimates of contaminant concentrations at pumping wells. Optimization model simulations defined a tradeoff curve between the pumping cost and the amount of contaminant extracted from the aquifer. For this specific aquifer/miscible contaminant combination, the model simulations indicated that pump‐and‐treat remediation using intermittent pumping schedules for each pumping well produced significant reductions in predicted contaminant concentrations and associated health risks at a reasonable cost, after a remediation time of two years.     

基于盲数理论的湖泊总磷D-BM优化模型

针对湖泊总磷负荷模型中各参数及总磷规划中排污量的不确定性,运用盲数理论,将Dillon模型、盲数模型和费用效益分析模型结合,建立了湖泊总磷规划D-BM优化模型.在总磷规划实例中,当3个近期治理方案的总磷目标浓度分别为0.30,0.20,0.15mg/L时,根据D-BM模型求出3个备选治理方案的费用效益指标分别为0.932、1.480和1.448.选择第2个备选方案为湖泊富营养化最佳治理方案.     

考虑不同合作模式和多方奖惩的绿色信贷风险优化控制研究

绿色信贷风险的优化控制,有利于推动绿色信贷的稳定、可持续发展,实现环境效益、经济效益和社会效益的共赢。本研究将政府部门、环保部门、金融机构和企业的行为纳入同一个理论体系中,充分考虑影响参与主体最优努力水平和绿色信贷风险最优轨迹的环境因素、经济因素和社会因素。在此基础上,构建不同合作模式下的绿色信贷风险优化控制模型,分析不同情境下参与主体的努力水平,比较绿色信贷风险的最优轨迹,找出绿色信贷风险优化控制存在的问题及原因。研究结果表明：第一,四方合作模式对绿色信贷风险的优化控制具有明显的优势。第二,政府的参与能够有效带动其余合作者的积极性。第三,金融机构和企业之间,存在明显的利益共存和投入互动关系。第四,补贴和惩罚措施在合作过程中能够产生激励和约束作用,但在非合作模式下发挥的作用比较有限。第五,参与主体的协同水平越高,越有利于绿色信贷风险的优化控制。因此,需要灵活运用行政、经济或法律等多种干预手段,并对补贴用途进行考评和增强舆论监督,防止金融机构和企业将绿色补贴挪作他用。同时,建立符合国内绿色信贷发展特点的风险标准,统一绿色信贷风险的评判和管控依据。     

动态规划法在污水处理厂优化设计中的应用

对具有代表性的系统优化模型进行分析比较,选用动态规划法对城市污水处理厂进行优化设计,得到了城市污水处理厂投资和运行的最优决策,为城市污水处理厂运行和设计提供了依据.     

Optimization of C/N ratio preparation of protein-rich and multi-enzymes feed thallus through synergic fermentation of mixed distillers' grains

A new procedure of determining optimal C/N (the rate of carbon source to nitrogen source) of mixed distillers‘ grains for combined bacteria synergic fermentation is established.At the same time an improved method evaluating bacteria growth,called method of dry cell weighing by filtering is developed.For each combination of C and N,their initial and residual contents before and after fermentation respectively are determined.Then followed the calculation of utilization of C and N sources by the compound bacteria.The optimal C/N is finally located from among the utilization of C and N of several combinations and the weight of produced mass of oven-dried thallus.The conditions of fermentation are:inoculum size 10%,temperature 30.0℃,rotational speed 170 r/min,shake culture time 48h.The best results obtained from orthogonal experiments are:maximum mass of oven dried thallus is 14.693g in a liter liquid medium,maximum utilization rate of carbon source is 98.13% and maximum utilization rate of nitrogen is 78.14%.Optimal C/N is 5.1。