大跨度黄土隧道CRD法优化研究

针对大跨度隧道通常采用的交叉中壁(CRD)法的工法特点,以V级围岩条件下的某大跨度黄土隧道为研究对象,采用有限元数值模拟手段,对CRD工法中各个分部的开挖形状、开挖顺序以及支护形式进行了优化研究。研究结果表明,将传统CRD法的开挖顺序调整为CRD1-CRD3-CRD2-CRD4时,隧道各步位移及初期支护内力均较原CRD法要小;当采用直线型临时支护代替曲线型临时支护时,隧道初期支护内力会有一定幅度增大,但变化幅度小于10%。优化后的CRD法可以减少工序,加快大跨度黄土隧道的施工进度,提高经济效益。     

利用糖蜜废水生产微生物絮凝剂及条件优化和效果实验研究

用糖蜜废水取代葡萄糖作为发酵培养基中的碳源和能源培养微生物絮凝剂产生菌Pseudomonas alcaligenesPS-25。通过单因素试验和正交试验得到该菌株产絮凝剂的最佳培养条件:糖蜜废水COD浓度5 000 mg/L、培养基初始pH值6.5、接种量5%(体积比)、温度30℃、培养时间为72 h、摇床转速160 r/min,在此条件下,PS-25所产絮凝剂对高岭土悬浊液絮凝率达96.75%,并且对多种废水都有较好的净化效果,对废水中浊度和色度的去除率分别在90%和80%以上,COD去除率在73.60%～91.10%。研究表明,用糖蜜废水培养PS-25生产微生物絮凝剂处理废水是完全可行的,从而实现废物的资源化利用。     

凹凸棒粘土接枝聚丙烯腈的条件优化及吸附性能研究

采用自由基聚合的方法在硅烷偶联剂改性凹凸棒粘土表面接枝聚合丙烯腈,优化了反应条件:引发剂浓度[K2S2O8]=1.5×10-3mol/L,单体浓度40%(w/w),聚合温度60℃、聚合时间5 h、凹凸棒粘土的添加量2%;并考察了复合材料特性粘数及凹凸棒粘土添加量对其吸附性能的影响。结果表明,随着复合材料特性粘数的增加,复合材料对Pb2+的平衡吸附量先降低后增加;随着凹凸棒粘土添加量的增加,复合材料对Pb2+的平衡吸附量先增加后减小。     

混沌粒子群算法在水污染控制系统规划中的应用

针对常用的最优化方法解决水污染控制系统规划问题运算过程较复杂,容易陷入局部极值,且优化解精度不高的情况,尝试利用混沌方法和粒子群算法相结合的混沌粒子群算法(chaos particle swarm optimization,CPSO)求解此类问题。CPSO算法具有原理简单,且能快速获得最优解的特点。在实例应用中与遗传算法和MATLAB优化函数的优化结果做了比较,CPSO算法的性能以及得到的解明显优于后两种方法,验证了该方法的可行性和有效性。     

Evaluation of Dynamically Dimensioned Search Algorithm for Optimizing SWAT by Altering Sampling Distributions and Searching Range

The primary advantage of Dynamically Dimensioned Search (DDS) algorithm is that it outperforms other optimization techniques in both convergence speed and searching ability for parameter sets that satisfy statistical guidelines while requiring only one algorithm parameter (perturbation factor) in the optimization process. Conventionally, a default value of 0.2 is used as the perturbation factor, where a normal distribution is applied with mean sampling distribution of zero and variance of one. However, the perturbation factor sensitivity to the performance of DDS for watershed modeling is still unknown. The fixed‐form sampling distribution may result in finding parameters at the local scale rather than global in the sampling space. In this study, the efficiency of DDS was evaluated by altering the perturbation factor (from 0.05 to 1.00) and the selection of sampling distribution (normal and uniform) on hydrologic and water quality predictions in a lowland agricultural watershed in Texas, United States. Results show that the use of altered perturbation factor may cause variations in convergence speed or the ability to find better solutions. In addition, DDS results were found to be very sensitive to sampling distribution selections, where DDS‐N (normal distribution) outperformed DDS‐U (uniform distribution) in all case scenarios. The choice of sampling distributions could be the potential major factor to be attributed for the performance of auto‐calibration techniques for watershed simulation models.     

A review on optimization techniques for sizing of solar-wind hybrid energy systems

Solar and wind are inexhaustible, abundant, environmentally friendly and freely available renewable energy sources. Integration of these two sources has always been a complex optimization problem which requires efficient planning, designing and control strategies. Many researchers have designed cost effective and efficient hybrid solar-wind energy systems by using various available software tools and optimization algorithms. With the advancement in artificial intelligence methods, various new optimization techniques have been developed in the last few decades. This paper presents state of the art optimization methods applied to hybrid renewable based energy systems. A brief introduction of each technique is presented along with papers published in different reputed journals. This article also reviews different power management, control strategies and multi-objective optimization methods used for hybrid wind-solar systems. A case study is presented to demonstrate the efficacy of some of the algorithms.     

一种基于BP网络和粒子群算法的拱坝可靠度分析方法

为了进行极限状态方程不明确的大型结构可靠度分析,提出了结合神经网络和粒子群优化计算拱坝可靠度的算法。确定性力学分析采用ANSYS软件,利用BP神经网络来模拟高度非线性映射关系的功能函数,基于罚函数和粒子群优化法进行可靠指标计算。综合C语言、ANSYS的APDL二次开发以及MATLAB混合编程技术,编制了该算法的可靠度分析程序。算例表明,该方法适应于隐式功能函数的复杂结构可靠度分析。     

发动机配气机构环境适应性及可靠性新技术：凸轮型线DoE优化设计

汽车发动机作为汽车的核心部件,其环境适应性及可靠性尤为重要。本文应用先进的DoE理论,基于EXCITE Timing Drive模型,对国内某款1．6LVCT汽车发动机配气机构凸轮型线进行优化设计,优化后发动机环境适应性及可靠性有了显著提升。     

老油田地面系统优化与环境保护

针对老油田地面系统存在的环保问题,文章从油田地面工艺与环境保护结合的角度,通过采用地面工艺优化简化、老油田数字化管理升级改造、伴生气综合利用、新工艺新技术等,系统总结长庆油田对于老油田地面系统在环保方面的处理方法。有利于保护油区环境、降低老油田环境污染事故的发生频率,为下一步工作提供借鉴。     

袋式除尘器结构优化设计与虚拟装配关键技术

针对袋式除尘器大型化后在结构轻质化、模块化结构的可靠装配和焊接变形控制等方面面临的诸多问题,开展了系统的研究,发展了不同结构类型袋式除尘器快速参数化建模、整体和局部联合计算、梁柱连接节点的简化设计、整体计算中复杂花板结构简化、非线性多约束结构优化等复杂关键技术,开发了袋式除尘器结构计算和优化设计软件;提出了基于世界树的实体层次系统结构建模框架,开发了大型模块化袋式除尘器虚拟装配软件;分析了主要结构焊接变形、应力和应变分布及变化规律,提出了反变形法消除焊接变形的控制方法,并开展了实验验证。