From Westphalian Failure to Heterarchic Governance in MENA: The Case of Syria

Abstract

The problematic export of the Westphalian system to MENA is examined, taking Syria as exemplar. The export model is juxtaposed to actual non-lineal trajectories, semi-sovereignty and hybrid or failing states. This is manifested in post-uprising Syria in failing statehood, fragmented and overlapping governance, permeable and collapsing borders, the loss of sovereignty to trans-state movements, “competitive regime-building” between the Asad regime and jihadist warlords, and “competitive interventionism” by external powers filling the governance vacuum with their own proxies. The result is heterarchic zones of limited statehood in which state sovereignty is contested by both international (supra-state) penetration and sub-state fragmentation.     

FPGA、ARM DSP嵌入式技术的在线航空摄影测量方法*

为满足空间数据实时处理的需求,提高航空摄影测量系统在线处理能力,本文研究一种在线摄影测量的理论与方法,基于嵌入式架构设计一种在线摄影测量系统,使用FPGA、ARM DSP等嵌入式计算技术建立专门的硬件运行环境,移植并优化现有算法到嵌入式系统中,实现摄影测量数据的在线处理。机载航摄实验结果表明,本文方法能够实现对摄影测量数据进行快速稳定的在线处理,验证了基于嵌入式架构的在线摄影测量的可行性,把摄影测量的处理效率提高到了一个更高的水平,同时也进一步拓宽了摄影测量技术的应用领域。     

基于有限状态机的作战实体模型行为规则可视化建模研究

为提升仿真模型开发效率,降低仿真模型的维护成本,本文从模型规则可视化建模需求入手,提出了基于有限状态机的实体模型行为规则形式化表达模型,并对基于有限状态机的模型规则可视化建模工具框架进行了设计,对模型规则可视化建模的工程实现进行了理论上的探索。     

A bayesian optimisation methodology for the inverse derivation of viscoplasticity model constants in high strain-rate simulations

We present an inverse methodology for deriving viscoplasticity constitutive model parameters for use in explicit finite element simulations of dynamic processes using functional experiments, i.e., those which provide value beyond that of constitutive model development. The developed methodology utilises Bayesian optimisation to minimise the error between experimental measurements and numerical simulations performed in LS-DYNA. We demonstrate the optimisation methodology using high hardness armour steels across three types of experiments that induce a wide range of loading conditions: ballistic penetration, rod-on-anvil, and near-field blast deformation. By utilising such a broad range of conditions for the optimisation, the resulting constitutive model parameters are generalised, i.e., applicable across the range of loading conditions encompassed the by those experiments (e.g., stress states, plastic strain magnitudes, strain rates, etc.). Model constants identified using this methodology are demonstrated to provide a generalisable model with superior predictive accuracy than those derived from conventional mechanical characterisation experiments or optimised from a single experimental condition.     

Data-driven prediction of plate velocities and plate deformation of explosive reactive armor

Explosive reactive armor (ERA) is currently being actively developed as a protective system for mobile devices against ballistic threats such as kinetic energy penetrators and shaped-charge jets. Considering mobility, the aim is to design a protection system with a minimal amount of required mass. The efficiency of an ERA is sensitive to the impact position and the timing of the detonation. Therefore, different designs have to be tested for several impact scenarios to identify the best design. Since analytical models are not predicting the behavior of the ERA accurately enough and experiments, as well as numerical simulations, are too time-consuming, a data-driven model to estimate the displacements and deformation of plates of an ERA system is proposed here. The ground truth for the artificial neural network (ANN) is numerical simulation results that are validated with experiments. The ANN approximates the plate positions for different materials, plate sizes, and detonation point positions with sufficient accuracy in real-time. In a future investigation, the results from the model can be used to estimate the interaction of the ERA with a given threat. Then, a measure for the effectiveness of an ERA can be calculated. Finally, an optimal ERA can be designed and analyzed for any possible impact scenario in negligible time.     

Resistance of grid steel-tube-confined concrete targets against projectile impact: Experimental investigation and analytical engineering model

Steel-tube-confined concrete (STCC) targets are provided with excellent anti-penetration performance over semi-infinite concrete (SIC) targets since the steel tube imposes passive restraint on the in-filled concrete during the penetration process. Grid STCC system with square steel tubes is a potential solution to protective structures. In this paper, experiments of 9-cell grid STCC targets penetrated by 12.7 mm Armor Piercing Projectile (APP) were performed. The influence of side length and thickness of steel tube, steel ratio and impact velocity on anti-penetration performance were taken into account. Additionally, single-cell square STCC targets were also designed and tested for comparison with the 9-cell grid STCC targets. Damage modes and parameters of the tested targets were measured and discussed. Moreover, the stiffness of radial confinement of grid STCC targets is achieved according to the elastic solution of infinite cylindrical shell in Winkler medium. Furthermore, the penetration resistance and depth of penetration (DOP) for grid STCC targets are obtained on the basis of the dynamic finite spherical cavity-expansion (FSCE) models including radial confinement effect. It is shown that the 9-cell grid STCC targets with optimal dimension match of thickness and side length of steel tube can reduce the DOP by about 17 % and 23 % in comparison with the SIC targets and single-cell square STCC targets, respectively, due to both the confinement of square steel tube to concrete in the impacted cell and the additional confinement of the surrounding cells to the impacted cell; the penetration resistance and DOP of the grid and cellular STCC targets with similar steel ratio is close, and thus the grid STCC targets with simpler manufacturing process and excellent in-plane expandability are preferred in engineering practice; moreover, the predicted results of DOP model based on the FSCE models agree well with the tested results with the maximum disparity less than 12 % and the proposed model is more applicable to the grid and cellular STCC targets with high radial confinement.     

基于状态空间模型的航天器装配角偏误差研究

装配过程的误差建模是分析装配误差的重要手段之一。通过分析影响航天器装配结果的尺寸和形位误差、装夹定位误差,将其装配的偏差源分为夹具装夹误差和舱段制造误差两类。并将不同形式的误差通过虚拟夹具的概念进行了统一的表达,进而基于误差流理论针对航天器舱段建立其误差传播的状态空间模型,求出了该过程的状态空间表达式,应用该模型对装配过程中的角偏误差进行了分析。将分析得到的结果同蒙特卡洛仿真的结果进行了比较,两种方法的相对误差小于3%,说明了该方法的可行性。该方法的优势在于它不仅可以分析复杂装配过程,还可以对各工位的装配效果进行观测,从而进行向后分析。     

有限扩域上的Fuzzy子域

在文[3]中,引入了更一般的Fuzzy理想等概念,使Fuzzy代数结构的研究进一步深入进行。本文作为Fuzzy结构理论中的又一课题,引入了Fuzzy子域等概念,对有限扩域上的Fuzzy子域的构造问题进行了比较详细的讨论,得到了几个类似于[2]中的表示定理。尔后,引入了诱导Fuzzy子域,对单纯代数扩域上的诱导Fuzzy子域进行了研究。     

数字滤波法在主轴回转精度测试中的应用

机床主轴回转精度的测量是机械工程测试中的重要项目之一。本文提出一种数字式测量系统,用数字滤波技术成功地解决了模拟式测量方法中难以解决的一些技术难关,使测量精度达到0.1微米。     

硅整流发电机坦克供电系统瞬态特性的计算

采用状态变量计算硅整流发电机的工作特性是最新的研究成果.本文将这一成果开发到硅整流发电机坦克供电系统瞬态特性的研究中.实践证明,能大大节省计算工作量.文中有计算实例和与实车试验结果的对比.