Melting of β-quartz up to 2.0 GPa and thermodynamic optimization of the silica liquidus up to 6.0 GPa

Melting relations of β-quartz were experimentally determined at 1.0 GPa (1900±20 °C), 1.5 GPa (2033±20 °C), and 2.0 GPa (2145±20 °C) using a new high-pressure assembly in a piston–cylinder apparatus and substantial differences were found with data previously reported. The new melting data of β-quartz were combined and optimized with all available thermodynamic, volumetric, and phase equilibria data for β-cristobalite, β-quartz and coesite to produce a P–T liquidus diagram for silica valid up to 6.0 GPa. Using the new optimized thermodynamic parameters, the invariant point β-cristobalite+β-quartz+liquid and β-quartz+coesite+liquid were determined to lie at 1687±17 °C and 0.457 GPa, and 2425±25 °C and 5.00 GPa, respectively.     

生命线地震工程的研究进展

以我国、美国和日本的研究成果为依据，综述了生命线地震工程的研究概况、研究对象、震后恢复过程优化以及抗震防灾对策的新趋势。     

ICAP仪器主要工作条件的优化方法研究

ＩＣＡＰ仪器在不同工作条件下，其测试精度与准确值差别是较大的。因此，正确进行工作条件的优化，是ＩＣＡＰ仪器分析工作的关键。本文从理论依据及实验方法两个方面探讨了实现条件优化的具体方法，以及其对于确保仪器的最佳测试状态和进一步扩大测试领域所具有的实际意义。     

计算机内存的分类及优化管理

本文从计算机应用角度出发，介绍了计算机内存的基本结构及其类型内存配置对计算机工作的影响，同时讨论了如何合理计算机内存，以便充分发挥计算机的优势。     

基于复模态的有限元模型修正算法

针对地下结构地震响应分析中无限地基辐射阻尼问题，引入复模态情况下的具有非简化的堆积阻尼矩阵的阻尼模型，并针对具有集中质量阵的阻尼模型提出了合并与质量有关的阻尼和堆积阻尼的思想，并据此提出了一种修正此类有限元模型的两步法，首先从复模态参数中提取实模态参数，采用基于模态残余力的识别算法修正刚度矩阵，然后根据复模态参数和已得的刚度矩阵来识别阻尼模型中的刚度参与系数和质量阻尼堆积阻尼联合矩阵。     

一种组合优化的多边形化简方法

以多边形轮廓为目标 ,依据曲线特征点将其分解为一系列的弯曲特征 ,并对此弯曲特征集实施组合优化 ,将入围弯曲首尾相连 ,即可得到最终的化简结果     

鄂尔多斯盆地南部的黄土塬区地震资料处理与解释,第一部分:地震资料处理

Branching river channels and the coexistence of valleys, ridges, hiils, and slopes＇as the result of long-term weathering and erosion form the unique loess topography. The Changqing Geophysical Company, working in these complex conditions, has established a suite of technologies for high-fidelity processing and fine interpretation of seismic data. This article introduces the processes involved in the data processing and interpretation and illustrates the results.     

对我国金刚石钻头胎体经典配方的理论优化和建议

选取合理可信的约束条件对我国经典的63号金刚石钻头胎体配方进行了优化验证，获得理论认识，并依此对已有成熟配方的改进提出了建议。     

鱼类疫苗浸泡免疫策略优化的研究现状

疫苗是一种针对特定疾病并改善免疫者免疫力的生物制剂。疫苗能刺激免疫者的免疫系统产生特异性免疫反应和非特异性免疫反应,提高免疫者的抗病能力,达到免疫保护的效果。浸泡免疫是鱼类特有的免疫接种方法,该方法能简化人工操作、减少工作强度、降低鱼体应激、刺激鱼体的黏膜系统,可在短时间内完成大量的免疫工作。正确的疫苗使用有助于提高疫苗的效果。作者对鱼类黏膜免疫机制、鱼类疫苗浸泡免疫方式、浸泡免疫策略优化的方法、浸泡免疫面临的问题以及浸泡免疫的发展趋势等进行综述,以期为鱼类病害防治和鱼体免疫增强的研究提供新思路和新策略。     

A New Strategy for Solving a Class of Constrained Nonlinear Optimization Problems Related to Weather and Climate Predictability

There are three common types of predictability problems in weather and climate, which each involve different constrained nonlinear optimization problems: the lower bound of maximum predictable time, the upper bound of maximum prediction error, and the lower bound of maximum allowable initial error and parameter error. Highly efficient algorithms have been developed to solve the second optimization problem. And this optimization problem can be used in realistic models for weather and climate to study the upper bound of the maximum prediction error. Although a filtering strategy has been adopted to solve the other two problems, direct solutions are very time-consuming even for a very simple model, which therefore limits the applicability of these two predictability problems in realistic models. In this paper, a new strategy is designed to solve these problems, involving the use of the existing highly efficient algorithms for the second predictability problem in particular. Furthermore, a series of comparisons between the older filtering strategy and the new method are performed. It is demonstrated that the new strategy not only outputs the same results as the old one, but is also more computationally efficient. This would suggest that it is possible to study the predictability problems associated with these two nonlinear optimization problems in realistic forecast models of weather or climate.