硅酸盐水泥基胶凝材料体系水化热计算研究

基于传统水化热模型计算水泥水化热,建立矿物掺合料水化热计算公式;采用直接法测定掺粉煤灰、矿渣条件下普通硅酸盐水泥和低热水泥基胶凝材料体系1~7 d水化热。计算结果与实测结果对比表明:矿物掺和料水化热双指数计算公式可表征普通硅酸盐水泥和低热水泥基胶凝材料体系下粉煤灰和矿渣1~7 d水化热,可采用此法结合水泥水化热计算方法进行以水化热作为目标函数的胶凝材料体系优化设计。     

Meeting the challenge of water sustainability: The role of process systems engineering

This white paper is the result of discussions during the FIPSE-4 conference ( http://fi-in-pse.org ) in June 2018. It aims to highlight open problems and provide directions for future research in the area of water with emphasis on its agricultural usages. Some of the open problems discussed are: (a) the use of ecosystems as unit operations to understand their role in providing freshwater and in cleaning polluted water; (b) consideration of interactions and independencies between flows of water and other resources, such as food, energy, materials, ecosystem services, and environmental emissions; (c) challenges in modeling, sensing, and closed-loop control in precision irrigation. In particular, the development of agro-hydrological models that balance computing speed versus solution details and accuracy: (d) The use of state and parameter estimation approaches, through field measurements, to obtain soil moisture levels accurately; and (e) decision support systems to administer water and nutrient needs for optimum yields of agricultural products.     

Optimization of flow in additively manufactured porous columns with graded permeability

Chemical engineering systems often involve a functional porous medium, such as in catalyzed reactive flows, fluid purifiers, and chromatographic separations. Ideally, the flow rates throughout the porous medium are uniform, and all portions of the medium contribute efficiently to its function. The permeability is a property of a porous medium that depends on pore geometry and relates flow rate to pressure drop. Additive manufacturing techniques raise the possibilities that permeability can be arbitrarily specified in three dimensions, and that a broader range of permeabilities can be achieved than by traditional manufacturing methods. Using numerical optimization methods, we show that designs with spatially varying permeability can achieve greater flow uniformity than designs with uniform permeability. We consider geometries involving hemispherical regions that distribute flow, as in many glass chromatography columns. By several measures, significant improvements in flow uniformity can be obtained by modifying permeability only near the inlet and outlet.     

一种激光眼组织切割系统设计及实验

针对医生手工进行白内障手术,病人术后视力恢复效果取决于医生手术熟练度的问题,提出了一种激光眼组织切割光路运动系统。系统采用直线电机带动平面镜运动的形式改变光路,利用聚焦透镜实现激光对样品单点切割。建立了白内障手术中碎核、撕囊扫描轨迹的数学模型,通过MATLAB仿真验证扫描轨迹数学模型的正确性。最后以透明塑料为样品模拟眼球实验,结果表明此系统可以实现给定轨迹切割,为激光眼组织切割设备研发提供了一种新方案。     

喷泉景观的造型设计与模型研究

在分析现有喷泉模拟的基础上，针对喷泉造型的研究相对较少的问题，进行了喷泉造型设计并建模。运用多种数学曲线、曲面方程建立了复杂特殊的喷泉造型模型，并分析喷泉粒子的运动特性建立了喷泉运动模型。采用Visual Studio为编程工具，结合OpenGL技术渲染场景，在Windows XP环境下开发了基于粒子系统的喷泉模拟系统，仿真效果真实。     

Extraction of Distinguished Hyperbolic Trajectories for 2D Time-Dependent Vector Field Topology

This paper does two main contributions to 2D time-dependent vector field topology. First, we present a technique for robust, accurate, and efficient extraction of distinguished hyperbolic trajectories (DHT), the generative structures of 2D time-dependent vector field topology. It is based on refinement of initial candidate curves. In contrast to previous approaches, it is robust because the refinement converges for reasonably close initial candidates, it is accurate due to its adaptive scheme, and it is efficient due to its high convergence speed. Second, we provide a detailed evaluation and discussion of previous approaches for the extraction of DHTs and time-dependent vector field topology in general. We demonstrate the utility of our approach using analytical flows, as well as data from computational fluid dynamics.     

No-reference quality assessment of dynamic sports videos based on a spatiotemporal motion model

This paper proposes an approach to improve the performance of no-reference video quality assessment for sports videos with dynamic motion scenes using an efficient spatiotemporal model. In the proposed method, we divide the video sequences into video blocks and apply a 3D shearlet transform that can efficiently extract primary spatiotemporal features to capture dynamic natural motion scene statistics from the incoming video blocks. The concatenation of a deep residual bidirectional gated recurrent neural network and logistic regression is used to learn the spatiotemporal correlation more robustly and predict the perceptual quality score. In addition, conditional video block-wise constraints are incorporated into the objective function to improve quality estimation performance for the entire video. The experimental results show that the proposed method extracts spatiotemporal motion information more effectively and predicts the video quality with higher accuracy than the conventional no-reference video quality assessment methods.     

Fourier Analysis of Serial Dependence Measures

Classical spectral analysis is based on the discrete Fourier transform of the autocovariances. In this article we investigate the asymptotic properties of new frequency‐domain methods where the autocovariances in the spectral density are replaced by alternative dependence measures that can be estimated by U‐statistics. An interesting example is given by Kendall's τ, for which the limiting variance exhibits a surprising behavior.