Abstract:To investigate the effect of ferroelectric substrate with different polarization direction on the optoelectric properties of SnSe, SnSe thin-films were synthesized using pulsed laser deposition (PLD) in LiNO₃ substrate. SnSe thin-film with different thickness was prepared by tuning the deposition time. X-ray diffraction (XRD) and X-ray photoelectron spectroscopy (XPS) results show that high orientation single-phase SnSe thin-film was synthesized. Transmission electron microscope (TEM) image of the cross-section shows the high crystalline quality of the as-synthesized SnSe thin-film. In the darkness condition, for the polarization direction pointing to the thin-film, electrons would be introduced into SnSe thin-film, decreasing the conductivity of p-type SnSe. When the polarization direction points away from the thin-film, holes will be introduced into SnSe and thus enhance the conductivity of SnSe. Furthermore, the irradiation of 632 and 405 nm laser was used to test the effect of the coupling fields on the substrates with different polarization direction on the photoelectric effect. Both SnSe films on different polarization directions of LiNbO₃ show enhanced photoconductive effect because the 632 nm laser can only induce the photoelectric effect in SnSe thin-film. However, the 405 nm laser induces a completely different phenomenon. A typical band model was used to explain the regulation mechanism of SnSe photoconductive properties on ferroelectric polarization substrate with different polarization orientations.

Abstract:To meet the requirement of satellite imaging during maneuver, the mixed control moment gyroscopes and flywheel are used as the actuator to provide large and precise control torque. Due to the fact that the installation deviation of these actuators will reduce the attitude control accuracy of satellite, an adaptive control law is designed to deal with this issue. Based on the dynamic model of a satellite with a cluster of single-gimbal variable-speed control moment gyros, the control model with the consideration of installation deviation is derived. Based on the kinematic equation described by modified Rodrigues parameters, a multi-input multi-output adaptive tracking control law is designed to estimate the installation deviation of the actuators and the inertia of satellite, and the corresponding control compensation is adopted to improve the control accuracy. The singularity phenomenon of the tracking control law is avoided by using smooth projector principle, and the stability of the controlled system is analyzed via Lyapunov theory. Simulation results show that the proposed adaptive controller enables the satellite fast maneuver with high control accuracy, and the accuracy of the tracking control can be improved by two orders of magnitude.

Abstract:Since the existing algorithms of user selecting access and resource allocation algorithms are too complicated in heterogeneous networks (HetNets) with almost blank subframe (ABS), and the system throughput demand is difficult to meet, we propose ant colony optimization (ACO) algorithm that is easy to be implemented. On the premise of different demands of different users, according to the definition of ABS, it is obvious that, in ABS and n-ABS periods, the UEs associated to PBS will suffer different interference. Therefore, a PBS can be divided into two virtual PBSs and the problem can be modeled as a generalized assignment one. The user equipment (UE) assignment problem and resource allocation problem are jointly solved. Simulation results demonstrate that, compared with the algorithm proposed in the reference paper and two kinds of fixed enhanced inter-cell interference coordination (eICIC) patterns, the proposed algorithm has a quite well improvement on the total system throughput, and at the same time, while taking into account the cell edge user throughput and achieving a good overall performance, this algorithm can better meet the needs of UEs and be easy to implement in practice.

Abstract:Requirement prioritization in complex software system often involves multiple stakeholders and needs to satisfy several different stakeholders' requirements. In this paper, we define multi-stakeholder tradeoffs in requirements optimization as a multi-objective optimization problem and introduce an archived Non-Dominated Sorted Genetic Algorithm-Ⅱ (NSGA-Ⅱ) to the automated analysis of requirements assignments. The results show that the proposed method can generate a set of optimal requirements satisfying multiple stakeholders with the constraints of the resources and the cost. Comparing with the baseline methods, our approach shows better performance on all evaluation metrics, such as average, minimum satisfaction and variance in satisfaction. In summary, the archived NSGA-Ⅱ algorithm could provide a scientific and reasonable result for the software requirements engineering.

Abstract:The gradients extract the information only along the horizontal and vertical directions and the non-subsampled contourlet transform (NSCT) is poor relatively to capture the detailed information. To overcome the drawback, a novel super-resolution approach combined Gabor with NSCT is proposed to improve the quality of image captured directly. The algorithm makes full use of the complementary of the Gabor transform and NSCT, to extract the texture feature using the Gabor transform and to extract the contour feature using the NSCT according to the characteristics of input image pieces. After that the sparse coding reconstruction is performed, and finally merge the pieces into a initial high-resolution image. Since the input image is blurred more or less, the approach revises the initial high-resolution image through the deblurred regularization to eliminate the influence of blurred input. Experiment results show that combining the Gabor and NSCT can recover more details and the deblurred regularization is also effective. Compared to the kernel ridge regression method proposed by Kim and the sparse coding super-resolution (SCSR) method proposed by Yang, the images produced by our approach are clearer in subjectively and the average PSNR is nearly 2 dB higher, which means that the proposed approach can improve the quality of image.

Abstract:To resolve the problems of over-saturation, artefacts and dark-look for Dark Channel Prior, this study proposes a method of single image haze removal using adaptive dark channel and image fusion. The Weighted Normalization Interpolation Method is used to compute the dark channel of pixel. The dark channel pixels of the image going to be recovered are modeled as a Gaussian one that a more natural recovered image of the sky and other bright regions can be obtained adaptively. Finally, a post fusion method is devised to increase the image information at dense haze region. Experimental results demonstrate that the proposed method not only significantly improves the visibility of the hazy image than the well-known state-of-the-art approaches, but also has a better robustness.

Abstract:Public available protein networks at present are static, which could not be used to describe the dynamic characteristics of proteins in a cell effectively. It is necessary to construct temporal protein network by integrating other biological data, which reflects the dynamic activities of proteins. Most of previous methods assume that all proteins are dynamic. However, in addition to dynamic protein, there are many static proteins in the cell. To this end, this paper proposes a new method to construct a temporal protein network both with dynamic and static proteins. In the method, proteins are classified into two types of dynamic and static, and then a protein network is constructed on each time point by both considering the interactions of dynamic and static proteins. Experimental test results show that the temporal protein network constructed by using the proposed method can improve the accuracy of the identification of protein complexes, which verified the reliability of the proposed method.

Abstract:In order to improve the stability of label propagation algorithm and reduce the randomness which causes difference in the results of community discovery, labels initialization, random nodes queues setting and labels random selection are improved respectively, and a stable label propagation method for community discovery is proposed. This method first initializes labels by searching for non-overlapping triangles in the networks, and then forms nodes queues based on labels entropy and random sorted nodes in the sub queues. At last, this method chooses labels for each node by the distribution of adjacent nodes labels. Experimental results shows that, stability indexes and quality indexes of our method are higher than other methods' on three social networks—Zachary's Karate club, dolphin social network and American College football. Community discovery based on stable label propagation method not only maintains the advantages of label propagation algorithm, but also improves the quality and stability of community discovery results.

Abstract:Current learning algorithms for prototype learning require intensive computation burden for large category machine learning and pattern recognition fields. To solve this bottleneck problem, a principled scalable prototype learning method is proposed based on heterogeneous parallel computing architecture of GPUs and CPUs. The method can transfer the intense workload to the GPU side instead of CPU side through splitting and rearranging the computing task, so that only a few control process is needed to be managed by the CPU. Meanwhile, the method has the ability to adaptively choose the strategies between tiling and reduction depending on its workload. Our evaluations on a large Chinese character database show that up to 194X speedup can be achieved in the case of mini-batch when evaluated on a consumer-level card of GTX 680. When a new GTX980 card is used, it can scale up to 638X. Even to the more difficult SGD occasion, a more than 30-fold speedup is observed. The proposed framework possess a high scalability while preserving its performance precision, and can effectively solve the bottleneck problems in prototype learning.

Abstract:In order to obtain the influence of electronic on the diffusion behavior of atoms and interfacial reaction, diffusion bonding between SiC and Ti under alternating electric field was carried out. The influence of the intensity of AC(DC) electric field on the interfacial microstructure, atomic diffusion and shear strength were characterized by means of scanning electron microscopy(SEM), energy disperse spectroscopy (EDS), X-ray diffraction(XRD) and shear test. The mechanism of diffusion bonding under electric field was also discussed. The results showed that in the stage of pore closure interfaces contact tightly because of the great image interaction Image interaction increased obviously with the increase of voltage and decrease of interface distance. In diffusion reaction stage, the atom diffusion flux increased by applying voltage, illustrating that the applied voltage promoted the diffusion of the atom at SiC/Ti interface. The promoting effect was more obvious as the voltage increased. Electrodes effects existed in DC electric field while no electrodes effects existed in AC electric field. Under conditions 950 ℃/1.5 h/7.5 MPa/400 V(AC), bonding Strength reached 63.8±9.4 MPa, and the order of structure of interface was SiC/TiC/TiC+Ti₅Si₃/Ti. Electric field promoted atomic diffusion to a certain extent and improved the efficiency of diffusion bonding.

Abstract:In order to improve the strength of Cu/Al₂O₃ joint, vacuum brazing of copper to Al₂O₃ ceramic was performed using nano -Al₂O₃ strengthened AgCuTi composite filler (abbreviated as AgCuTi_p filler). The microstructure and mechanical performance of the brazed joint were investigated by scanning electron microscope (SEM), energy dispersive spectrometer (EDS) and shear strength test. Typical interfacial microstructure of Cu/AgCuTi_p/Al₂O₃ brazed joint is Cu/diffusion layer/Cu-based solid solution + Ag-based solid solution +Ti₂Cu +Ti₃(Cu, Al)₃O/Al₂O₃. The addition of nano-Al₂O₃ can improve the interfacial microstructure by inhibiting the growth of reaction layer near Al₂O₃ ceramic side, and promoting the formation of dispersed Ti₂Cu phase in brazing seam. Moreover, both thickness of diffusion layer and Ti₃(Cu, Al)₃O reaction layer thickened with an increasing holding time. Excessive dissolution of copper was occurred when holding time reached 20 min, which deteriorated the performance of the brazed joint. The highest shear strength of 82 MPa can be obtained when brazed at 880 °C for 10 min. The addition of nano-Al₂O₃ particles can refine the microstructure of brazing seam and decrease the mismatch of coefficient of thermal expansion between substrates and brazing seam. Therefore, the performance of brazed joint can be improved. The holding time can affect the microstructure and thickness of reaction layer, thereby affect the strength of brazed joints.

Abstract:Traditional cylindrical back-projection algorithm depends on the cylindrical model and calibration accuracy. While object distance changes, a second calibration needed. A new flexible algorithm is proposed to simplify the process and improve the scene adaptability. According to perspective projection theory, pixel equivalent is distributed by conics. The algorithm gets cylindrical imaging characteristics to realize cylindrical back-projection by means of fitting conics in the horizontal and vertical directions separately. It can adapt to the changes of imaging characteristics through amendment of conics coefficient without calibrate again, when the target object moves around relative to the camera. Experiment results show that the proposed algorithm accuracy is about normal for traditional way and remains unchanged while the target object moves around within the scope of a certain scale. The proposed algorithm meets image transformation requirements with calibration only once when the target object moves around on a small scale and scene adaptability is improved.

Abstract:To address the problem that Bag-of-Words model still has several drawbacks such as the scarcity of information in single local descriptor, large quantization error and lack of representation upon image features in image classification tasks, an image classification method based on multi-descriptor hierarchical feature learning is proposed. Combing scale invariant feature transform (SIFT) and kernel descriptors-shape (KDES-S) features, a hierarchical structure is used to reduce quantization error in encoding process, which extracts local features. After that, image features in each layer are normalized respectively, the liner combination of which is the final feature representation for linear support vector machine (SVM) classifier. Experiments are conducted on datasets Caltech-101, Caltech-256 and Scene-15, and experimental results show that the proposed method improves the classification accuracy significantly in comparison with other algorithms.

Abstract:The RSA public and private keys of biometric certificate can be generated from biometric key which can be seen as random numbers.However, the size of biometric key is shorter than the RSA public and private keys. To overcome this limitation, a biometric certificate key generation algorithm is proposed. In this method, the biometric primes is generated by the combination of symmetric key encryption algorithm and prime generation algorithm, in addition, the hashing algorithm is used to ensure the feasibility of the biometric primes. The generated biometric primes are safe and usable so that they can be applied to generate the RSA public and private keys of biometric certificate. Experimental results using VC6.0 and MIRACL show that the proposed method not only is feasible, but also has practical application value.

Abstract:In order to obtain low power consumption and high fault coverage, a new single-double input change deterministic test pattern generator is presented based on a single input change technology and 2-bit twisted ring counter. Firstly, unlike traditional deterministic test schemes storing the deterministic seeds, the presented scheme saves the control signal bits in ROM. With these bits, the deterministic seeds and patterns are generated by single-double input change. It is beneficial for power consumption and area overhead because the length of control signal bits are just about 1/2 of deterministic seed's. Secondly, 2-bit down counter can reasonably filter redundant vector, and it greatly shorten test time and reduce overall energy consumption. At last, considering different needs, the test pattern compression algorithm and three kinds of x assignment algorithm are proposed. Experimental results show that the average power reductions are up to 42.36%, 32.32%, 38.94%, and the test length reductions are up to 77.6%, 86.1%, 84.3%, and then the test data storages are decreased by 79.4%, 65.2%, 68.1%, respectively.

Abstract:To mitigate the deleterious influence of Distance Measure Equipment (DME) interference on Orthogonal Frequency Division Multiplexing (OFDM) receiver of L-band Digital Aeronautical Communications System1(L-DACS1) operating as an inlay system, a new interference suppression method is proposed based on joint DOA estimation and main beamforming. Firstly, DOA matrix algorithm is used to estimate the DOA of the received signals. Secondly, with the DOA information, Linearly Constrained Minimum Variance(LCMV) beamforming algorithm is utilized to extract the signals in all directions. Finally, frequency-domain power comparison and time-domain power comparison method is proposed to distinguish the received signals and output the direct line-of-sight(LOS) path OFDM signal. Computer simulation results indicate that the proposed method can effectively overcome DME impulse interference and OFDM scattering signal and improve the reliability of the L-DACS1 system.

Abstract:To improve the problem of failing to well select optimal path for ZigBee Cluster-Tree routing algorithm, ZigBee routing based on Energy-Aware (EZTR) algorithm was proposed. Firstly, using each node perceiving its own address, this algorithm calculated packet forwarding hop-counts that the next hop of node to destination node according to tree structure for avoiding the loop response, by introducing the concept of cognitive for ZigBee network, and selected the shortest routing in hop-counts set to reduce hop-counts. Besides, in order to avoid excessive energy consumption of nodes, which caused nodes to be ineffective, through energy cognitive processing, when there is a low energy nodes selected path, EZTR algorithm timely adopted alternate node. Through comparative analysis of NS2 simulation experiments, packet delivery ratio is improved, hop-counts and average delay are reduced, and network energy consumption is saved, which can provide theoretical support for improving network real-time and extend network lifetime.

Abstract:Since adaptive beamforming suffers from output performance degradation in the presence of interference nonstationarity or signal steering vector mismatch, a new robust null broadening technique is proposed. The proposed method can pre-process the array received data by projection transform technique to get a new covariance matrix, so the interference incident angle is extended and the null is broadened. Then, magnitude response constraints are applied on general location of the desired signal. The proposed method forms a stable magnitude response in the constraint region against the steering vector mismatch. The proposed method can be solved by converted it into a Semi-definite Relaxation programming. Simulation results show that the proposed method can effectively broaden the beam null width and enhance the null depth, which can suppress strong interference with fast motion and has high ability against steering vector mismatch. The robustness of beamformerhas been significantly improved due to the proposed method in complex situations.

Abstract:An innovative snakelike terminal maneuvering trajectory model of anti-ship missiles, in which the missiles are regarded as controllable mass points and can be tracked by passive sensors, is introduced to compete with the continuous penetrating enhancing of modern anti-ship missiles by adopting dynamic modeling method. A novel adaptive unscented Kalman filter algorithm based on the fuzzy control interacting multiple algorithm is proposed. The proposed algorithm can achieve the real-time adjustment of the matrix of transition probability, faster convergence rate due to the fuzzy control and state error covariance adaptive algorithm which is based on the principle of Sage-Husa noise statistical estimator. Simulation results verify the ballistic model is established for the detection, recognition and tracking of anti-ship missile technology research has certain reference value. Besides, the improved tracking algorithm can quickly adjust the probability model to bring about faster convergence speed and better robustness, which can effectively reduce the error of bearing-only target tracking and can achieve the stability and reliability of the snakelike terminal maneuvering trajectory model of anti-ship missiles.

Abstract:To improve retrieval accuracy and efficiency of the image shape information, this paper proposes an image retrieval method based on the omnidirectional shape feature code. This method segments the shape omnidirectially, measures the shape complexity of every direction and part, constructs the omnidirectional feature codes of the shape, and calculates the similarity of shapes. The actual structure shape data set and MPEG-7 CE-1 Part B shape data set are used to test the retrieval performance of this method, and this method is compared with other description methods of shape similarity. Experimental results show that this method has higher retrieval accuracy and efficiency. The image retrieval method based on the omnidirectional shape feature code can describe exactly global features and partial features of the shape. This method is invariant to translation, rotation, scaling, and strong ability to describe and recognize the shape.

Abstract:The evolution of ferritic texture in various layer of 2205 duplex stainless steel sheet are researched after hot rolled, cold rolled and annealed, and the effects of the textures on plastic strain ratio of the annealed sheet were studied. The results show that the strong {001} <110> texture near surface while concentrated (118)[16 -24 1] and (001)[-1-20] orientation in the center of the hot rolled sheet caused different textures appeared in the surface and center after subsequent cold rolling and annealing processing. It leads to different the average plastic strain ratio in between the surface and center sheet. After annealed at 1100 ℃ for 90 s, (112)[1-10] and (110)[1-18]～(554)[-2-25] recrystallization textures formed from (001)[1-10], (001)[-1-10] and (110)[1-10] cold rolled textures respectively, which is in accordance with Σ9, Σ3 and Σ17b coincidence site lattice relationship. Such annealed textures made that r₀ value was significantly lower than r₄₅ and r₉₀ value. Moreover, extremely few {001} <110> orientation was remained in center sheet after annealed, which resulted in a higher average plastic strain ratio in the center sheet.

Abstract:In LTE system, in order to solve the problem that the performance of Proportional Fair (PF) scheduling algorithm for non-real-time traffic is far from optimal in wireless packet service model, we propose a new scheduling algorithm-Buffer Information Based Scheduling (BIBS) Algorithm, which can guarantee the system throughput and user fairness in finite-buffer line model. Simulation results show that compared with PF scheduling algorithm, the proposed algorithm can improve system throughput, user fairness and outage performance in different traffic models with the consideration of instantaneous downlink channel condition and packet data to be transmitted in buffer of each user.

Abstract:The laminar cooling process can cause flatness defects of high strength hot rolled strip. Proper edge masking strategy is benefit to improve its flatness after cooling. For 12 mm thickness hot rolled X70 pipeline steel strip with the coiling temperatures of 500 ℃, a coupled thermo-mechanical-phase transition model of Finite Element Model (FEM) was established for the strip in laminar cooling process. The temperature field, phase transformation and internal stress distribution along the width of hot rolled strip were calculated in the duration of the conventional laminar cooling and the cooling process with discrete edge masking strategies. The results show that there is plastic deformation at the strip edge of 25 mm width during the conventional laminar cooling. Strip flatness tends to edge waves in the early stage and shifts to center waves in the end stage of the later half water cooling process. However, by cooling with the strategy of discrete edge masking, the temperature difference decreased significantly between edge and middle of strip in width direction, leading to evenly distributed bainite transformation and residual stress along the strip width. The masking strategies effectively eliminate the plastic deformation and improve of the flatness of the cooled strip.

Abstract:To acquaint the testing errors of nonlinear dynamic shear modulus ratio and damping ratio using the prevailing resonant column technique, two typically representative test groups, i.e., a general group and a professional group, are designated. The error distribution and the relevant statistic characteristics of dynamic shear modulus ratios and damping ratios of sand are systematically studied on a single resonant column apparatus. The testing results indicate: (1) the test data of nonlinear dynamic shear modulus ratio and damping ratio of the two groups are normally distributed at different characteristic shear strains, and the variability indices are closely consistent for the two groups; (2) the mean values of the two groups are similar while the confidence interval of the general group is particularly larger than that of the prefessional group with a coefficient of variance 5 times larger than that of the professional group; (3) the coefficient of variance of shear modulus ratio is remarkably smaller than that of damping ratio. On the current testing technique of resonant column apparatus, the test accuracy of shear modulus ratio and damping ratio on sandy samples by an experienced individual can be quite satisfactory but on the other cases the testing error cannot be neglected that parallel tests should be performed and the testing skill of the operators should be improved.

Abstract:An Energy-saving Strategy by Combining Mobile and Static (ESCMS) sink scheme is proposed focusing on the well-known issue "Sink's Neighbor Problem" existing in Wireless Sensor Networks. The static sink locates at the center of the monitor area, while the mobile sink does fast circle motion centering on the static one with a certain radius and sojourns in the fixed stations to receive packets from its adjacent sensor nodes. The nodes deployed at the edge of the monitor area transmit their sensed data to the mobile sink, while the ones lying in the center send their data to the static sink. Thus the energy consumption is cut down because the data is mostly transmitted via one-hop fashion. Meanwhile, with the help of the static sink, the transmission distance would be reduced compared with other strategies with only mobile sink adopted, thus the lifetime of network is extended and the throughput is increased. ESCMS is proved to be a higher energy-efficient scheme which increases the network lifetime more than sixfold based on theoretical analyses. Extensive simulation experiments are conducted and the comparisons are made. The results show that the lifetime of network is extended approximately to be 6 times as long as that of static sink strategy. Besides, it is prolonged by 50% when being compared with that of a mobile-sink-used-only scheme GMRE.

Abstract:In order to study the relationship between freeze capacity of pisha sandstone and its moisture rate, temperature, and dry density as well, this paper focuses on the multi-factor experiment on different moisture, temperature, and dry density at Zhungeer Banner, Erdos City, Inner Mongolia Autonomous Region. According to the study, it will almost not be frozen, when the moisture rate is below 11%. When it comes between 12% to 16%, the moisture rate will be changed. The freeze rate is increased with the increase of the dry density. It will be performed exceptionally, when the temperature is below -20 centi-degree. The freeze rate is increased with the decrease of the temperature of its cold end portion. However, as for the materials which own 1.85 g/cm³ dry density, the freeze rate is in decreasing state with the decrease of the temperature of its cold end portion. By SPSS software on the study of its data with multi-non-linear regression, the regression equations of freeze rate is confirmed under multi-factor among the moisture rate, dry density, and temperature.

Abstract:Aiming at the urgent requirement to improve the control performance of electric spindle, an improved control algorithm is given after integrating SVPWM (space vector pulse width modulation) technology into classical DTC (direct torque control). Stator flux linkage space position and u_d, u_q after Park inverse transformed are taken as the three inputs, and then converted into three phase voltage of dc-to-ac inverter to control the electric spindle efficiently under SVPWM control technology. By modulating the stator flux linkage running approximate circular trajectory on the electric spindle, the discrete data required for the test is calculated. After establishing the hardware circuit using DSP and IGBT module, the experiments of electric spindle electromagnetic vibration velocity and acceleration are conducted, and the experimental results show that the torque ripple obviously decreases in three directions of vibration velocity of each operation frequency, especially at 100-450 Hz the vibration amplitude of vibration acceleration significantly reduces in three directions. These verify that the control performance is improved by integrating SVPWM into DCT.

Abstract:The unconventional emergency needs to be dealt with from the perspective of baseline. That is, we need to study problems based on the worst scenario. Thus, the paper formulated a two-level robust optimization model to solve the coordination problem arising from the relief distribution and transportation. The topline model determines the optimal distribution of emergency resource from the perspective of cost minimization, while the baseline model is to transport and distribute based on the distribution policy of topline from the perspective of time saving, in order to realize the coordinate optimization of emergency resource allocation timely and efficiently, and reduce most the loss of disaster. The model described the scarcity of relief demand and converted the coordination problem into two connected problems. Finally, the numerical analysis demonstrated the coordination value and robustness of the distribution policy. Besides, robust approach helps improve the equity of distribution plan.

Abstract:To study the hysteretic characteristics of corrosion steel plate in the neutral salt spray environment, steel specimens under different corrosion degree were got by sprinkling salt spray to accelerate corrosion. Then each specimen was subjected to cyclic loading test and analyzed the hysteretic behavior, Ramberg Osgood model was adopted to fit with the circular skeleton curve of steel, and model for hysteretic constitutive of corrosion steel was established based on the first time loading criterion, unloading criterion, cycle skeleton criterion and reloading curve criterion. The experimental results shows that: corrosive steel appeares the phenomenon of cyclic hardening and peak point pointing effect under cyclic loading; and the Ramberg Osgood model has better simulated results. With the corrosion degree increasing, the mechanical properties of the steel decrease, the deterioration of ductility becomes more serious and coefficient of steel circular enhancement shows a decreasing trend, whereas the variation of cyclic hardening exponent is not obvious. The proposed model agrees well with the experimental results.