基于可靠度理论的嵌岩桩自平衡转化系数研究

嵌岩桩作为桩基础的重要分支，在基础工程领域已得到广泛使用，其竖向承载力通常认为由桩侧摩阻力和桩端阻力两部分组成。统计了5个实际工程中合计62组分别采用传统静载法和自平衡法的嵌岩桩竖向极限承载力对比测试数据。对测试数据进行了归一化处理之后，采用贝叶斯优化计算了服从对数正态分布的模型因子统计参数。挑选了合适的可靠度指标求解方法计算了不同自平衡转换系数对应的嵌岩桩竖向承载力的可靠度指标，分别探讨了活载效应与恒载效应比值、安全系数以及荷载效应统计参数等因素对可靠度指标的影响。结合各行业规范并考虑最不利原理确定了嵌岩桩竖向承载力合适的目标可靠度，给出了该目标可靠度对应的自平衡转换系数推荐值。     

生命周期个人拓展消费的优化研究

随着我国经济社会的发展,人们的消费水平和消费层次也在逐步提高,消费领域在不断扩展,因而提出拓展消费这一新的概念。同时改变现有的在研究消费效用最大化时对周期阶段划分的方法,把拓展消费的生命周期划分为三个阶段。借以引入各阶段倾向的效用模型,并运用多阶段最优动态规划和变分法原理来探讨完全行为个人整个生命周期谋求拓展消费效用最大化时各阶段的最优消费解。通过研究,得出了在次优消费解的选择下,得以实现现实最优构成的结论。     

Robust model predictive control of continuous uncertain systems*

The authors concern robust model predictive control for linear continuous systems with polytopic uncertainties and input constraints. At each sampling time, a piecewise constant control sequence is obtained by solving a set of linear matrix inequalities. The sufficient conditions on the existence of the model predictive control are given, and the robust stability of the closed-loop systems is guaranteed. A simulation example illustrates the efficiency of the proposed method.     

山西省农业用地结构优化的一般模型

本文以优化2015年山西省的农业用地结构为目的，以最大净收益为目标函数，以生态效益和社会效益为约束条件．建立了线性规划的一般数学模型，由所在地区的实际情况代入数据即可得到所在地区的农业用地结构优化的结果。     

Best weight pattern evaluation based security constrained power dispatch algorithm

This paper presents a methodology which determines the allocation of power demand among the committed generating units while minimizes number of objectives as well as meets physical and technological system constraints. The procedure considers two decoupled problems based upon the dependency of their goals on either active power or reactive power generation. Both the problems have been solved sequentially to achieve optimal allocation of active and reactive power generation while minimizes operating cost, gaseous pollutants emission objectives and active power transmission loss with consideration of system operating constraints along with generators prohibited operating zones and transmission line flow limits. The active and reactive power line flows are obtained with the help of generalized generation shift distribution factors （GGDF） and generalized Z-bus distribution factors （GZBDF）, respectively. First problem is solved in multi-objective framework in which the best weights assigned to objectives are determined while employing weighting method and in second problem, active power loss of the system is minimized subject to system constraints. The validity of the proposed method is demonstrated on 30-bus IEEE power system.     

城市流动人口管理模式及其优化——基于新公共服务理论视角

城市流动人口管理是测量城市管理有效性的重要指标。传统的防范式管理模式、属地化管理模式、区域化管理模式在取得局部性突破的同时仍存在天生缺陷，而新公共服务理论之理念与城市流动人口管理目的存在高度契合，表现出内在的统一性，将之用于指导城市流动人口管理，构建出更为优化的服务型社区化管理模式。     

大米面包的生产配方及工艺条件的优化

随着生活水平的提高,人们对食品的营养和新产品的开发要求也越来越高.同时我国是大米生产大国,所以米粉面包产品的开发具有重要意义.以大米粉、小麦粉为主要原料,采用快速发酵法,结合大米粉预糊化处理技术制作大米面包;通过单因素实验和响应面实验方法,探讨了预糊化大米粉与小麦粉比例、加水量、食盐用量、发酵时间对大米面包感官评分及质构特性的影响.结果表明,大米面包制作的最佳配方及工艺参数为：预糊化米粉与小麦粉比例为1∶3.9,加水量60％,食盐量1.0％,发酵时间2.9h.结果表明,预糊化米粉与小麦粉比例对感官评分的影响最大,其次是发酵时间、食盐用量、加水量;加水量对面包硬度特性的影响最大,其次是预糊化米粉与小麦粉比例、发酵时间、食盐用量.使用预糊化处理的大米粉制作的大米面包的感官评分和硬度指标都分别好于全麦面包和普通米粉面包,并且口感柔软,具有大米的香气.     

Robust Stability Analysis for Linear Time-delay Systemswith Uncertain Parameters: LMI Approach

1IntroductionDuringthepastfewyears,therobuststabilityproblemoflineartime-delaysystemssubjecttoperturbationshasbeentreatedextensivelyintheliterature.Asaresult,explicitboundsforbothstructuredandunstructuredperturbationshavebeenderived(seeCheresetal.,1991;LuoandVanDenBosch,1997;ninhandAldeen1995;andthereferencestherein).However,inthoseresults,someparametersmustbefirstdeterminedtoobtaintheboundsontheallowableperturbations.Ingeneral,differentselectionapproachesfortheparametersmayresultindifferen…     

高校学生业绩评价的多目标最优化数学模型及其多种解法

建立了高校学生业绩评价的数学模型 ,运用多目标最优化方法给出了其多种解法和一个Qbasic源程序。     

Slack-nibbling battery-aware task scheduling

Dynamic voltage scaling (DVS) is an efficient approach to maximize the battery life of portable devices. A novel overall planning strategy (OPS II) balancing slack supply and demand for DVS is proposed. An OPS II-based slack-nibbling overall planning strategy (SNOPS) algorithm is also proposed, which iteratively nibbles slacks for appropriate tasks selected by an overall planning dynamic priority function to perform DVS until the slack is exhausted and an optimum voltage setting is obtained. For a high-load task set, SNOPS manages to recover battery overload while maintaining schedulability. For random variable-load task sets, SNOPS achieves a saving of 29.51% battery capacity on average, the suboptimal gap is 27.84% narrower than that of our previously proposed OPS-based algorithm, and 92.10% narrower than that of the algorithm proposed by Chowdhury et al. Results indicate that OPS II manages to save battery to various extents while maintaining schedulability, and demonstrates good load compatibility and close-to-optimal performance on average. Biography: GAO Xun(1981–), male, Ph.D. candidate, research direction: embedded system, power optimization.