交通运输业节能减排国际管理手段及启示

交通运输业的能源消费在许多国家中都占有较高比例,经济发展较快的国家更是如此。介绍了能源消费大国英国、美国、欧盟以及日本交通运输业节能减排采取的主要管理手段,包括健全的法律体系、节能技术创新、有效的税费政策等。借鉴其先进经验,为我国交通运输业节能减排管理工作提供启示。     

企业节能减排的监控系统研究

经济发展与节能减排是一个矛盾的统一体,如何在二者之间进行平衡,考验着中国人的智慧。通过行业分类选取恰当的节能减排指标、采用统计学的基本原理、应用质量控制的技术与方法,提出了节能减排的指标体系和监控方法,以期对节能减排实施动态监控,对我国现阶段的企业节能减排工作有着重要的参考价值。     

壁湍流周期性吹吸减阻的实验研究

为了研究局部周期性吹吸小扰动对湍流边界层的影响和湍流相干结构减阻控制机理,用实验方法研究了局部周期性吹吸小扰动与湍流边界层的相互作用.采用热线测速技术精细测量了施加吹扰动前后平板湍流边界层不同法向位置的流向、法向和展向速度分量的时间序列信号;通过测量扰动源下游近壁区域平均速度剖面的变化,发现在扰动下游一定空间范围内,粘性底层增厚和壁面减阻;通过对湍流度变化的分析,发现扰动影响猝发的发生;此外通过对展向平均涡量变化的分析发现,在扰动下游形成了2个定常的、强度相似的、大尺度的展向涡,它们起到流体滚动轴承的作用,减小了壁面摩擦阻力.     

离散零空间算法在机织物仿真中的应用

针对机织物卡尔丹角多体模型维数较高,计算效率不理想的问题,提出采用离散零空间算法降低多体动力学方程维数,减少计算复杂度和约束违约所导致的数值漂移.首先结合离散零空间等效变换消去拉格朗日乘子项,然后进行结点参数化,实现两次系统降维,提高机织物仿真速度.通过KES剪切试验与仿真,验证了上述算法应用的可行性.通过仿真计算复杂度及效率特征指标对比,反映出优化方程的降维优势和计算高效,尤其适用于大型织物仿真.     

Effects of decomposing rice straw on growth of and nitrogen fixation byRhizobium

Five phenolic compounds produced by decomposing rice straw and sterile extracts of decomposing rice straw in soil were very inhibitory to growth of three strains ofRhizobium. The effects were additive and in several instances synergistic. The phenolic compounds also reduced nodule numbers and hemoglobin content of the nodules in two bean (Phaseolus vulgaris) varieties. Extracts of decomposing rice straw in soil (same concentration as in the soil) significantly reduced N₂ fixation (acetylene reduction) in Bush Black Seeded beans. This may explain in part the great reduction in soybean yields in Taiwan following rice crops when the rice stubble is left in the field.     

A new parallel lattice reduction algorithm for BKZ reduced bases

In order to implement the original BKZ algorithm in parallel,we describe it in terms of parallelism and give its parallel implementation scheme.Then we analyze the efficiency of algorithm’s parallel implementation and show that the speedup factor of BKZ algorithm in parallel is extremely low.Therefore we present a new parallel lattice reduction algorithm suitable for multiprocessor computer architecture.The new algorithm can obtain a BKZ reduced basis and the parallel speedup is effective.Also with the practical results,although the computational complexity increases compared with the original BKZ algorithm,we still indicate that the new algorithm performs well in parallel and the time cost in parallel is less.At the same time,we show that the length of the shortest vector is smaller.     

Model reduction based on limited‐time interval impulse response Gramians

In this paper, three new Gramians are introduced namely ‐ limited‐time interval impulse response Gramians (LTIRG), generalized limited‐time Gramians (GLTG) and generalized limited‐time impulse response Gramians (GLTIRG). GLTG and GLTIRG are applicable to both unstable systems and also to systems which have eigenvalues of opposite polarities and equal magnitude. The concept of these Gramians is utilized to develop model reduction algorithms for linear time‐invariant continuous‐time single‐input single‐output (SISO) systems. In the cases of GLTIRG and GLTG based model reduction, the standard time‐limited Gramians are generalized to be applied to unstable systems by transforming the original system into a new system which requires the solution of two Riccati equations. Two numerical examples are included to illustrate the proposed methods. The results are also compared with standard techniques.     

基于信息物理融合的骨折复位机器人系统构建

针对骨折治疗中传统复位方法（手法复位、牵引复位、手术复位）存在的二次损伤、肌能失调、患肢僵硬、破坏血运及术后矫正动态性能差等问题,提出了一种人-机-物融合的信息物理系统（CPHS）用于指导机器人的复位动作。首先,从CPHS的数字孪生、信息感知、系统集成、手术流程、模拟复位等方面论证了并联机器人信息物理系统的构成,将机器人的高定位精度及可重复性与微创方法有效结合,从而指导医生完成仿真规划及术中监控等一系列操作;其次,根据临床骨折复位过程,在机器人操作下对5组不同骨折姿态的模拟骨折病例进行了复位实验;最后,计算出每组实验复位后的移位残余及角度误差,并与传统复位方法的相应数据进行对比。实验结果表明,CPHS骨折复位机器人相较于传统复位方法,在骨折复位过程和患者术后康复上均有着明显的优势。     

基于模型缩聚的θ指标损伤识别方法

为实现大型三维空间结构的损伤检测,提出了一种基于模型缩聚技术的检测方法。该方法利用有限数量的加速度传感器,得到大型三维桁架结构的自振频率和模态振型,以完成损伤的识别。数值仿真结果表明：该方法在损伤的定位识别和定量识别上能达到预期的适用性和可靠性。