FIELD STUDIES OF SINGLE POINT IMPACT ON LIQUEFIABLE SOIL FOUNDATION OF HIGHWAY

A highway in the floodplain of the Abandoned Yellow River in the north of Jiangsu Province is recently remediated to reduce liquefaction potential using the dynamic compaction（DC） method of densification of in-place soils. Firstly, the liquefaction potential of the soil at the project site is analysed according to the code of seismic de- sign. Then the in-situ single point impact tests are performed on the liquefiable soil. Settlement of crater, excess pore pressure, ground heave and lateral deformation under DC impact are measured and analyzed. Subsequently, the standard penetration test （SPT） and cone penetration test （CPT） are used for investigating the compaction ef- fectiveness. At last, the improvement effect of DC is discussed according to the technical specification of dynamic consolidation to ground treatment. The investigation results indicate that the DC technique is an effective way for remediating liquefiable soil in highway engineering practice.     

DYNAMIC RESPONSE ANALYSIS OF CARRIER-BASED AIRCRAFT DURING LANDING

In view of the complexity of landing on the deck of aircraft carrier, a systematic model, composed of six- degree-of-freedom mathematic model of carrier-based aircraft, four-degree-of-freedom model of landing gears and six-degree-of-freedom mathematic model of carrier, is established in the Matlab-Simulink environment, with damping function of landing gears and dynamic characteristics of tires being considered. The model, where the car- rier movement is introduced, is applicable for any abnormal landing condition. Moreover, the equations of motion and relevant parameter are also derived. The dynamic response of aircraft is calculated via the variable step-size Runge-Kuta algorithm. The effect of attitude angles of aircraft and carrier movement during the process of landing is illustrated in details. The analytical results can provide some reference for carrier-based aircraft design and main- tenance.     

HIGH CYCLE FATIGUE RELIABILITY ANALYSIS ON ROTOR HUB BASED ON APPROXIMATION TECHNIQUE

A high cycle fatigue reliability analysis approach to helicopter rotor hub is proposed under working load spectrum. Automatic calculation for the approach is implemented through writing the calculating programs. In the system, the modification of geometric model of rotor hub is controlled by several parameters, and finite element method and S-N curve method are then employed to solve the fatigue life by automatically assigned parameters. A database between assigned parameters and fatigue life is obtained via Latin Hypercube Sampling （LHS） on toler- ance zone of rotor hub. Different data-fitting technologies are used and compared to determine a highest-precision approximation for this database. The parameters are assumed to he independent of each other and follow normal distributions. Fatigue reliability is then computed by the Monte Carlo （MC） method and the mean-value first order second moment （MFOSM） method. Results show that the approach has high efficiency and precision, and is suit- able for engineering application.     

OLEOPHOBIC AND HYDROPHOBIC FEATURE EXPERIMENTS OF FLUORINATED HIGH DENSITY POLYETHYLENE

The surface performances of directly fluorinated high density polyethylene （HDPE） are studied with Fourier transform infrared （FT-IR） spectra, scanning electron microscopy （SEM） and contact angle （CA） system. The SEM images show that there is a three-layer structure called the reaction, virgin and boundary layer structure. The depth of fluorinated layer is 5.75 ~m with 1 h fluorination time and 7.86 b~m with 2 h. The depths are 5.46 /~m and 5.07 /~m when fluorine density is 2G and 1~/0, respectively. CA indicates that the HDPE surface property becomes more hydrophobic with the increasing water contact angle from 78.5~ to 104.5~. Oleophobic and hydrophobic features of HDPE are identified by comparison of mass change experiments. It is shown that the in- crement rate of fluorinated HDPE is much lower than that of un-fluorinated HDPE filled in neither distilled water nor jet fuel.     

IMPROVED EXECUTION METHOD OF TENTACLE ALGORITHM FOR INTELLIGENT VEHICLE

In order to solve some deficiencies in tentacle execution, an improved execution method of tentacle algo- rithm is presented. The method uses a short trajectory to match the curvature between the path of vehicle and ten- tacle, rather than computing a whole steady state. To control vehicle motion via wheel force and steering angle, two parameters should be discretized under certain area and these discrete values can form 18 5〈 20 groups. Then the curvature between the trajectory and tentacle should be matched, and the corresponding group of wheel force and steering angle can be found. The flow chart of the improved execution method is given, and simulation is per- formed on a platform named ＂pro-sivic＂. The simulation results show that the improved method can maintain the advantage of the tentacle algorithm in terms of computation speed, and avoid the errors such as endless loop and data overflow, which proves the method more efficient.     

OPTIMIZED STRAPDOWN CONING CORRECTION ALGORITHM

Traditional coning algorithms are based on the first-order coning correction reference model. Usually they reduce the algorithm error of coning axis （z） by increasing the sample numbers in one iteration interval. But the increase of sample numbers requires the faster output rates of sensors. Therefore, the algorithms are often lim- ited in practical use. Moreover, the noncommutivity error of rotation usually exists on all three axes and the in- crease of sample numbers has little positive effect on reducing the algorithm errors of orthogonal axes （x, y）. Considering the errors of orthogonal axes cannot be neglected in the high-precision applications, a coning algorithm with an additional second-order coning correction term is developed to further improve the performance of coning algorithm. Compared with the traditional algorithms, the new second-order coning algorithm can effectively reduce the algorithm error without increasing the sample numbers. Theoretical analyses validate that in a coning environ- ment with low frequency, the new algorithm has the better performance than the traditional time-series and fre- quency-series coning algorithms, while in a maneuver environment the new algorithm has the same order accuracy as the traditional time-series and frequency-series algorithms. Finally, the practical feasibility of the new coning al- gorithm is demonstrated by digital simulations and practical turntable tests     

DAMAGE MECHANISM ANALYSIS OF 2D 1× 1 BRAIDED COMPOSITES UNDER UNIDIRECTIONAL TENSION

Coupling with the periodical displacement boundary condition, a representative volume element （RVE） model is established to simulate the progressive damage behavior of 2D 1×1 braided composites under unidirection- al tension by using the nonlinear finite element method. Tsai-Wu failure criterion with various damage modes and Mises criterion are considered for predicting damage initiation and progression of yarns and matrix. The anisotropic damage model for yarns and the isotropic damage model for matrix are used to simulate the microscopic damage propagation of 2D 1×1 braided composites. Murakami＇s damage tensor is adopted to characterize each damage mode. In the simulation process, the damage mechanisms are revealed and the tensile strength of 2D 1 × 1 braided composites is predicted from the calculated average stress-average strain curve. Numerical results show good agreement with experimental data, thus the proposed simulation method is verified for damage mechanism analysis of 2D braided composites.     

LEVEL DECISION-MAKING FOR AERO-ENGINE MODULES BASED ON INCREMENTAL KNOWLEDGE LEARNING

The maintenance of an aero-engine usually includes three levels, and the maintenance cost and period greatly differ depending on the different maintenance levels. To plan a reasonable maintenance budget program, airlines would like to predict the maintenance level of aero-engine before repairing in terms of performance parame- ters, which can provide more economic benefits. The maintenance level decision rules are mined using the histori- cal maintenance data of a civil aero-engine based on the rough set theory, and a variety of possible models of upda- ting rules produced by newly increased maintenance cases added to the historical maintenance case database are in- vestigated by the means of incremental machine learning. The continuously updated rules can provide reasonable guidance suggestions for engineers and decision support for planning a maintenance budget program before repai- ring. The results of an example show that the decision rules become more typical and robust, and they are more accurate to predict the maintenance level of an aero-engine module as the maintenance data increase, which illus- trates the feasibility of the represented method.     

WAKE GEOMETRY CALCULATIONS FOR TILT-ROTOR USING VISCOUS VORTEX METHOD

A tilt-rotor unsteady flow analytical method has been developed based upon viscous vortex-particle meth- od. In this method, the vorticity field is divided into small assembled vortex particles. Vortex motion and diffusion are obtained by solving the velocity-vorticity-formed incompressible Navier-Stokes equations using a grid-free La- grangian simulation method. Generation of the newly vortex particles is calculated by using the Weissinger-L lifting surface model. Furthermore, in order to significantly improve computational efficiency, a fast multiple method （FMM） is introduced into the calculation of induced velocity and its gradient. Finally, the joint vertical experimen- tal （JVX） tilt-rotor is taken as numerical examples to analyze. The wake geometry and downwash are investigated for both hover and airplane modes. The proposed method for tilt-rotor flow analysis is verified by comparing its re- sults with those available measured data. Comparison indicates that the current method can accurately capture the complicated tilt-rotor wake variation and be suitable for aerodynamic interaction simulation in complex environ- ments. Additionally, the aerodynamic interactional characteristics of dual-rotor wake are discussed in different ro- tor distance. Results show that there are significant differences on interactional characteristics between hover mode and airplane mode.     

GAS PATH ELECTROSTATIC SENSOR MONITORING AND COMPARISON EXPERIMENT ON TURBOJET ENGINE

A monitoring and comparison experiment with two types of sensors on a turbojet engine is carried out. Compared with a probe-typed sensor, which is designed successfully before, signals are collected to verify the va- lidity and better feasibility of the circular sensor. According to the signals monitored over 131 h, the typical signals of 125--129 phases are analyzed. The results show that the unusual exhaust particles are carbon depositions from fuel spray nozzle. Therefore, with the electrostatic sensor, early warning can be provided for initial fault condition, as well as real-time reference for the condition-based maintenance.     

FAST FEATURE RANKING AND ITS APPLICATION TO FACE RECOGNITION

A fast feature ranking algorithm for classification in the presence of high dimensionahty and small sample size is proposed. The basic idea is that the important features force the data points of the same class to maintain their intrinsic neighbor relations, whereas neighboring points of different classes are no longer to stick to one an- other. Applying this assumption, an optimization problem weighting each feature is derived. The algorithm does not involve the dense matrix eigen-decomposition which can be computationally expensive in time. Extensive exper- iments are conducted to validate the significance of selected features using the Yale, Extended YaleB and PIE data- sets. The thorough evaluation shows that, using one-nearest neighbor classifier, the recognition rates using 100-- 500 leading features selected by the algorithm distinctively outperform those with features selected by the baseline feature selection algorithms, while using support vector machine features selected by the algorithm show less prominent improvement. Moreover, the experiments demonstrate that the proposed algorithm is particularly effi- cient for multi-class face recognition problem.     

NOVEL RADAR SIGNAL SORTING METHOD BASED ON GEOMETRIC COVERING

With the increase of complexity of electromagnetic environment and continuous appearance of advanced system radars, signals received by radar reconnaissance receivers become even more intensive and complex. There- fore, traditional radar sorting methods based on neural network algorithms and support vector machine （SVM） cannot process them effectively. Aiming at solving this problem, a novel radar signal sorting method based on the cloud model theory and the geometric covering algorithm is proposed. By applying the geometric covering algo- rithm to divide input signals into different covering domains based on their distribution characteristics, the method can overcome a typical problem that it is easy for traditional sorting algorithms to fall into the local extrema due to the use of complex nonlinear equation to describe input signals. The method uses the cloud model to describe the membership degree between signals to be sorted and their covering domains, thus it avoids the disadvantage that traditional sorting methods based on hard clustering cannot deinterleave the signal samples with overlapped param- eters. Experimental results show that the presented method can effectively sort advanced system radar signals with overlapped parameters in complex electromagnetic environment.     

WIFI AIDED INTEGRITY IMPROVEMENT IN MEMS INS/GNSS INTEGRATION

The reliability of global navigation satellite system （GNSS） positioning degrades when satellite signals are interfered. Such degradation is hard to be deteced by a micro-electro mechanical system （MEMS） based inertial system（INS）/GNSS, integrating navigation system with a conventional Kalman filtering, which results in poten- tial integrity problem of the system. Hence, an algorithm combining wireless fidelity （WiFi） signal with a federa- ted Kalman filter （FKF） is proposed to identify the system integrity in dense urban navigation. The criterion of the system integrity detection is created followed by the derivation of the integrity coefficient. The field test shows that integrity changes can be captured by applying WiFi, and the maximum positioning error is reduced by 67~ without compensation of inertial sensors in integrity deterioration.     

V-BLAST BASED LDPC-CODED RELAY COOPERATION

An efficient LDPC-coded multi-relay cooperation architecture is proposed based on virtual vertical Bell Labs layered space-time （V-BLAST） processing for uplink communication, where minimum-mean-square-error （MMSE） and BP-based joint iterative decoding based on the introduced muhi-layer Tanner graph are effectively de- signed to detect and decode the corrupted received sequence at the destination. By introducing V-BLAST transmis- sion to the coded multi-relay cooperation, relays send their streams of symbols simultaneously, which increases the data rate and significantly reduces the transmission delay. The theoretical analysis and numerical results show that the new LDPC coded cooperation scheme outperforms the coded non-cooperation under the same code rate, and it also achieves a good trade-off among the performance, signal delay, and the encoding complexity associated with the number of relays. The performance gain can be credited to the proposed V-BLAST processing architecture and BP-based joint iterative decoding by the introduced multi-layer Tanner graph at a receiver-side.     

Developing an ICAO Criteria Aviation English Proficiency Test for CAAC Pilots

Since the ICAO new aviation language requirement comes into being in 2003, several tester organizations try to develop tests for pilots. Recently CAAC has tried to develop ICAO criteria Aviation English Proficiency Test for Pilots. But, does Chinese pilots＇ language proficiency satisfy the ICAO requirements？ How to test a pilot＇s language ability？ How to develop ICAO standard test？ To explore the keys to these questions, the paper has applied the theoretical framework in development of the test, in construction of the tests and in scoring.     

返回舱跨声速自由飞行的静动稳定性

采用运动自由度不受约束的风洞自由飞试验技术，研究大钝头、小升阻比的类"联盟号"返回舱在跨声速区自由飞行时的运动特性与气动特性规律。以单平面光路拍摄返回舱模型在风洞中自由飞动态运动过程图像，经图像自动判读获取其运动轨迹与姿态角，并以参数微分法对模型运动姿态角进行线性与非线性气动参数辨识，得到模型俯仰方向的静、动稳定导数系数。研究结果表明:采用线性与非线性气动参数辨识所获得的静稳定导数系数C_mα均小于零，在数值上差距不大；从非线性气动参数辨识结果看，返回舱静稳定导数系数的数值主要由线性项C_mα0决定，非线性项C_mα2α2所占比例较小；类"联盟号"返回舱静稳定导数系数的非线性较弱，可近似用线性气动模型进行辨识。在试验迎角范围内，返回舱的动稳定导数系数呈现出非线性性质，且在小迎角范围内由线性项决定，在大迎角范围内主要由非线性项主导。