土壤金属元素近红外光谱定量校正模型适应性初步研究

为研究土壤金属元素近红外光谱定量校正模型适应性,采用近红外光谱结合偏最小二乘算法,针对风干土壤中的K,As,Hg,Cu,Zn,Pb,Cr,Cd元素,在剔除异常值后,建立定量校正模型;并对风干、烘干处理的外部验证集样品分别预测上述元素含量。结果表明,风干外部验证集样品的预测值-参考值相关系数皆大于相应烘干外部验证集样品的预测值-参考值相关系数;风干外部验证集各元素的预测值-参考值均具有显著的相关关系,烘干外部验证集中K,Hg,Cr的预测值-参考值之间不具有显著的相关关系。对土壤金属元素近红外光谱定量校正模型的适应性进行了初步研究,可为土壤中金属元素快速定量监测方法以及农产品产地环境监测等提供一定的参考。     

可见-近红外光谱的土壤养分快速检测

在测定土壤养分中,可见-近红外光谱技术具有很大的应用空间。该研究探讨了基于可见-近红外光谱(250~950nm)离线、快速测定土壤总氮(TN)、总磷(TP)、总钾(TK)、总碳(TC)等土壤养分的方法及应用。采集青岛三个不同地区土壤样品(异质性较高的山地土壤与河畔土壤)各60份,总计180份,并测定其TN,TP,TK,TC含量及其可见-近红外反射光谱,利用Kennard-Stone法按2∶1比例划分校正集和检验集,采用遗传算法分别提取TN,TP,TK,TC特征波长,以偏最小二乘法建立定量分析模型。TN,TP,TK,TC含量所建光谱模型的相关系数分别为0.970,0.964,0.680和0.967,检验集的相关系数分别为0.980,0.937,0.717和0.972,检验集的RPD值分别为4.570,2.424,1.411和4.135。结果表明,该方法能够对土壤TN,TP,TC含量进行精确预测,对土壤TK含量进行粗略预测。该研究主要依靠可见光波段,较好的预测了异质性较高的土壤的氮磷钾等养分含量,有望降低未来土壤养分速测的成本。此外,该研究还提供了青岛土壤养分的光谱库,为我国土壤大数据库的建立提供技术支撑。     

有限元方法中的光滑积分伪弱形式

提出了一种光滑积分伪弱形式,将光滑积分拓展至被积函数非偏导项求解。结合光滑应变技术和伪弱形式,可实现有限元系统方程统一光滑积分求解,即对刚度矩阵和质量矩阵中的应变矩阵和形函数矩阵均可进行光滑积分处理,并转化为光滑子域的边界积分。光滑积分伪弱形式与光滑应变技术比较,增加了形函数矩阵不定积分处理过程,且没有降低有限元求解对形函数连续性的要求。不过,伪弱形式改变了单元积分的求解形式,连续质量矩阵求解也无需坐标映射和雅可比矩阵计算。以轴对称二维问题为研究对象,结果表明极度不规则三角形和四边形单元光滑积分伪弱形式在静态和动态有限元方程求解中也具有很好的精度。     

Massively parallel mesh adaptation and linear system solution for multiphase flows

ABSTRACT

In this paper, a work performed to allow massively parallel finite element flow computations is presented. It includes the development and optimisation of two particular features of a finite element multiphase computational fluid dynamics software, which are mesh generation and linear system solution, using anisotropic adaptation and multigrid preconditioning. Parallel performances on supercomputers are shown, where the largest generated mesh (on 65 536 Intel Xeon or 261 144 Power PC cores) had 33.4 billions of nodes, leading to a 100 billion of unknowns linear system solution. Final applications concern, between others, image-based flow simulations.     

A return-map algorithm for general associative isotropic elasto-plastic materials in large deformation regimes

The present paper addresses a flexible solution algorithm for associative isotropic elasto-plastic materials, i.e. for materials whose elastic and plastic behaviors are described through an isotropic free-energy function, an isotropic yield function and an associative flow rule. The discussion is relative to a large deformation regime, while no hardening mechanisms are included. The algorithm is based on a combination of the operator split method and a return map scheme. Both the algorithm linearization and the requirements for the yield criterion convexity are discussed in detail. Finally, to show the algorithm flexibility and performance, the discussion is specialized to three yield criteria and some test problems are studied.     

Hydrogen embrittlement assisted by ball-milling to obtain AlCuFe nanoparticles

In this work, we show that the synthesis of AlCuFe nanoparticles can be achieved by a wet ball-milling process. The AlCuFe intermetallic system is highly sensitive to the environmental embrittlement mechanism. Taking advantage of this, the wet ball-milling was used to increase the rate of grinding and accelerate the characteristic cleavage fracture of these phases. This research was carried out by subjecting Al₆₄Cu₂₄Fe₁₂ pre-alloyed ribbons to high-energy ball-milling under different powder–humidity relationships. The pre-alloyed and milled powders were characterized using scanning electron microscopy (SEM), X-ray diffraction (XRD), and scanning transmission electron microscopy (STEM). High resolution electron microscopy (HREM) measurements and energy-dispersive X-ray spectroscopy (EDXS) elemental chemical mapping confirm that the nanoparticles have a BCC structure with Al–Cu–Fe chemical composition. During the wet ball-milling, the aluminum content in the ψ-phase diminishes due to embrittlement mechanism which provokes its aperiodic disarrangement. This aluminum loss could be related with a ψ–β transformation.     

微量元素与脑卒中(3)

脑卒中是目前中国最重要的公共卫生问题,正以其高发病率、高死亡率对我国造成巨大的社会、经济困难。从脑卒中的流行病学特征、脑卒中发病的危险因素、脑卒中患者的微量元素失衡及微量元素检测的临床意义四个方面阐述了微量元素与脑卒中的关系。     

现代测试技术在地球化学勘查中的应用

上世纪80年代以后进行的1∶20万水系沉积物扫面,个别元素分析质量不稳定,达不到设计要求,如镉、钴、铜、镧.利用大型分析仪器为手段,建立了稀有、稀散、稀土和铂族元素的测试方法,分析数据符合地球化学填图的要求,为地质找矿工作新的突破做出贡献.     

电感耦合等离子体发射光谱法测定柑桔类水果及果皮中多种微量元素

采用HNO_3-HClO_4体系湿法消解样品,利用电感耦合等离子体发射光谱仪同时测定了柑桔类水果及果皮中Al、B、Ba、Ca、Cu、Fe、K、Mg、Mn、Na、Sr、Zn 12种微量元素的含量。分析结果的相对标准偏差0.35%~3.26%,加标回收率85.5%~107.0%,该法简单、快速、可靠、灵敏度高。实验表明,大部分柑桔类水果果皮中微量元素含量高于其果肉中含量。柚子内皮和外皮中微量元素含量有少许差异,柚子外皮中的K、Ca、Mg含量最高,而柚子内皮中Fe、Na的含量较高。该结果为有效利用柑桔类水果果皮的药用功效提供了定量参考依据。     

Sonication enhances polyphenolic compounds,sugars, carotenoids and mineral elements of apple juice

A study was initiated with the objective of evaluating the effects of sonication treatment on quality characteristics of apple juice such as polyphenolic compounds (chlorogenic acid, caffeic acid, catechin, epicatechin and phloridzin), sugars (fructose, glucose and sucrose), mineral elements (Na, K, Ca, P, Mg, Cu and Zn), total carotenoids, total anthocyanins, viscosity and electrical conductivity. The fresh apple juice samples were sonicated for 0, 30 and 60 min at 20 °C (frequency 25 kHz and amplitude 70%), respectively. As results, the contents of polyphenolic compounds and sugars significantly increased (P < 0.05) but the increases were more pronounced in juice samples sonicated for 30 min whereas, total carotenoids, mineral elements (Na, K and Ca) and viscosity significantly increased (P < 0.05) in samples treated for 60 min sonication. Losses of some mineral elements (P, Mg and Cu) also occurred. Total anthocyanins, Zn and electrical conductivity did not undergo any change in the sonicated samples. Findings of the present study suggest that sonication technique may be applied to improve phytonutrients present naturally in apple juice.