Modified micro-mechanics based multiscale model for progressive failure prediction of 2D twill woven composites

To consider fiber random distribution at the microscale for the multiscale model based on the micro-mechanics failure (MMF) theory, clustering method is used for the extraction of amplification factors. As the clustering method is a kind of unsupervised machine learning method, the elements with similar mechanical behavior under external loading can be included in a cluster automatically at the microscale. With this modification, the fiber random distribution model can be used for multiscale damage analysis in the framework of MMF theory. To validate the modified multiscale analysis method, progressive damage analysis of a kind of 2D twill woven composites is conducted based on different microscale models. The stress values for microscale models with fiber hexagonal and random distribution patterns are compared first. Much higher stress concentration is generated in the fiber random distribution model due to the smaller inter-fiber distance especially under longitudinal shear loading. The obtained cluster distribution results exhibit the characters of the stress distribution in the two microscale models. Thereafter, tensile and compressive responses of the 2D twill woven composite are predicted with the modified multiscale analysis method and accuracy of the method is verified through comparison with published experimental results. From the simulation results, it can be found that the matrix damage initiation from the model based on the fiber random distribution model is premature compared with that from the model based on the fiber hexagonal distribution model. Besides, under tensile loading, the damage all initiates from the fill tows and propagates to the wrap tows. However, under compressive loading, the matrix damage initiates from the wrap tows in the model based on the fiber random distribution model.     

基于距离相关分析的航空维修差错影响因素分析

针对一般航空维修差错因素分析中只将相关因素各自独立分析,并将其影响程度进行排序分析方法的局限性,对航空维修差错因素的分类和综合分析,建立基于距离相关分析的航空维修差错影响因素综合分析模型,并通过实例数据分析计算得出航空维修差错相关系数,该相关系数可应用于航空维修差错影响因素的综合关联分析,将航空维修差错因素间的相关性以相关系数定量表示,弥补了传统方法单一性的缺陷.     

Stable two-sided matching of slot allocation in airport collaborative decision making by top trading cycles mechanism

The problem of capacity shortage in some airports needs to be dealt with sustainable solutions including a more efficient use of the existing runway slots at the airports. The Collaborative Decision Making (CDM) is an important approach applied to Air Traffic Management (ATM) to achieve this efficient use of the slots allocation. Using the Matching approach for two-sided markets of Game theory, the Top Trading Cycle CDM (TTC-CDM) algorithm developed in this research is an extension of the CDM approach aggregating the Ground Delay Program (GDP) of the air sector. The paper compared the developed TTC-CDM model to the existing models such as the conventional Compression algorithm in CDM, the Trade Cycle algorithm and the Deferred Acceptance CDM (DA-CDM) model to evaluate the performance of the proposed model. Through a case study, the results show the effective application of TTC-CDM model to slot allocation in ATM and also presents the advantage of considering the preferences of airport managers beside ATC controllers and airlines in the decision processing.     

Study of seasonal and long-term vertical deformation in Nepal based on GPS and GRACE observations

Lithospheric deformation signal can be detected by combining data from continuous global positioning system (CGPS) and satellite observations from the Gravity Recovery and Climate Experiment (GRACE). In this paper, we use 2.5- to 19-year-long time series from 35 CGPS stations to estimate vertical deformation rates in Nepal, which is located in the southern side of the Himalaya. GPS results were compared with GRACE observations. Principal component analysis was conducted to decompose the time series into three-dimensional principal components (PCs) and spatial eigenvectors. The top three high-order PCs were calculated to correct common mode errors. Both GPS and GRACE observations showed significant seasonal variations. The observed seasonal GPS vertical variations are in good agreement with those from the GRACE-derived results, particularly for changes in surface pressure, non-tidal oceanic mass loading, and hydrologic loading. The GPS-observed rates of vertical deformation obtained for the region suggest both tectonic impact and mass decrease. The rates of vertical crustal deformation were estimated by removing the GRACE-derived hydrological vertical rates from the GPS measurements. Most of the sites located in the southern part of the Main Himalayan Thrust subsided, whereas the northern part mostly showed an uplift. These results may contribute to the understanding of secular vertical crustal deformation in Nepal.     

基于分岔理论的起落架撑杆式锁机构设计

提出了运用分岔理论研究锁机构性能问题的分析方法，以前起落架上下位一体式锁机构为对象，基于分岔理论，通过数值延拓，研究了收放作动筒和解锁作动筒对该机构稳定性能的影响，阐释了锁机构运动分岔图中分岔点与上锁、解锁行为的对应关系，并分别针对上、下位解锁过程按照不同解锁力共划分了5种锁机构解锁状态。论述了延拓解锁、上锁分岔点得到的轨迹曲线，并根据曲线临界尖点定义了临界解锁力和临界解锁角度2个状态变量，随后分析了弹簧刚度、原长和安装点位置对以上变量的影响趋势。基于影响分析结果，在锁机构上锁能力一定的前提下，改变参数，优化了下位临界解锁力。研究表明，分岔分析能够快速全面地把握锁机构动力学特性随不同参数的变化趋势，在分析锁机构性能、指导参数初步设计方面有一定优势。     

Optimal guidance of extended trajectory shaping

To control missile＇s miss distance as well as terminal impact angle, by involving the timeto-go-nth power in the cost function, an extended optimal guidance law against a constant maneuvering target or a stationary target is proposed using the linear quadratic optimal control theory.An extended trajectory shaping guidance（ETSG） law is then proposed under the assumption that the missile-target relative velocity is constant and the line of sight angle is small. For a lag-free ETSG system, closed-form solutions for the missile＇s acceleration command are derived by the method of Schwartz inequality and linear simulations are performed to verify the closed-form results. Normalized adjoint systems for miss distance and terminal impact angle error are presented independently for stationary targets and constant maneuvering targets, respectively. Detailed discussions about the terminal misses and impact angle errors induced by terminal impact angle constraint, initial heading error, seeker zero position errors and target maneuvering, are performed.     

Uncertain multiobjective redundancy allocation problem of repairable systems based on artificial bee colony algorithm

Based on the uncertainty theory, this paper is devoted to the redundancy allocation problem in repairable parallel-series systems with uncertain factors, where the failure rate, repair rate and other relative coefficients involved are considered as uncertain variables. The availability of the system and the corresponding designing cost are considered as two optimization objectives. A crisp multiobjective optimization formulation is presented on the basis of uncertainty theory to solve this resultant problem. For solving this problem efficiently, a new multiobjective artificial bee colony algorithm is proposed to search the Pareto efficient set, which introduces rank value and crowding distance in the greedy selection strategy, applies fast non-dominated sort procedure in the exploitation search and inserts tournament selection in the onlooker bee phase. It shows that the proposed algorithm outperforms NSGA-II greatly and can solve multiobjective redundancy allocation problem efficiently. Finally, a numerical example is provided to illustrate this approach.     

叶片型面测量的数据分析及误差评定方法

通过对三坐标测量机测量精铸叶片的种类、原理和方法进行分析,重点探讨了三坐标测量机测量扭曲叶片产生误差的原因及误差修正方法,并应用实例进行了较为详尽的论述和验证,给出了扭曲叶片检测误差修正的实现算法和评价方法。     

网络丢包时“人工胰脏”的可靠控制

人工胰脏被公认为治疗糖尿病的重要技术手段之一。为了使人工胰脏更加方便使用,无线网络技术在该设备上得到了广泛使用,它在带来便利的同时,也引入了很多挑战。网络丢包就是其中一个重要挑战。本文首先为丢包现象提出了一种新的描述形式,比传统描述形式更加一般化,因此被称为一般化丢包。为了补偿丢包的影响,本文提出了一种增强版的模型预测控制方法。该方法在自主研发的1型糖尿病仿真平台上进行了测试。与传统模型预测控制相比,该方法能够显著提高闭环控制效果,从而增强了人工胰脏的可靠性。     

发射惯性坐标系下误差角与数学平台失准角的推导与仿真

基于状态空间法的捷联惯性/天文组合导航系统(SINS/CNS)需要数学平台失准角作为观测值参与滤波估计,工程实际只能得到SINS、CNS二者的姿态误差角.以弹道导弹为背景,在发射惯性坐标系下分别推导了四元数和欧拉角形式的姿态误差角与数学平台失准角之间的相互转换矩阵.建立了弹道导弹SINS/CNS数学模型,并采用EKF和UKF算法验证了该转换矩阵.仿真结果表明误差转换矩阵的正确性.