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This paper presents development length comparison between Chinese and Australian codes study on HRB500 steel bars in concrete. After introducing the existing code provisions about the anchorage length and experimental investigation of tensile HRB500 steel bars, the calculation approaches in different codes are compared with the test data. Additionally, the development length of tensile HRB500 reinforcement bars in AS3600-2001, Proposed Revision of AS3600, GB50010-2010 and the calculation equation proposed from test results are compared with each other in beams and slabs. It is proved that AS3600-2001 is inconsistent with other standards and the tests results and needs to be revised, while the Proposed Revision of AS3600 provided a good agreement with the test data and brings the code into line with other international codes, particularly Eurocode 2. Moreover, the Proposed Revision of AS3600 is a significant improvement on the method in AS3600-2001. The anchorage length formula in GB50010-2010 can still be used for designing HRB500 steel bar.

In this paper, a moving object detection method based on image blocking and improved Particle Filter is proposed. Firstly, each frame in a video is partitioned into blocks and a low-dimensional descriptor is extracted for each block; Secondly, each block is sequentially passed through two classifiers, improved Particle Filter and temporal correlation check. Finally, foreground object is detected by integrating the classification results of all blocks. We use two-stage classifier to effectively minimize the number of false positive in the detected foreground object. Experiments show that the method proposed in this paper is feasible both in qualitative and quantitative analysis so it can be used in moving object detection effectively.

With the emergence of large-volume and high-speed streaming data, traditional techniques for mining closed frequent itemsets has become inefficient. Online mining of closed frequent itemsets over streaming data is one of the most important issues in mining data streams. In this paper, a combinative data structure is designed by using an effective bit-victor to represent items and an extended dictionary frequent item list to record the current closed frequent information in streams. For tremendous reduction of search space, some new search strategies are proposed to avoid a large number of intermediate itemsets generated. Meanwhile, some new pruning strategies are also proposed for the purpose of efficiently and dynamically maintaining of all the closure check operations. Experimental results show that the method proposed is efficient in time, with sound scalability as the number of transactions processed increases and adapts rapidly to the changes in data streams.

Software reliability assessment plays an important role in the software reliability engineering, but the traditional software assessment method mostly focuses on evaluation by use of failure data which is gained only after testing or usage in the late phase of the software life cycle. Thus people hope to get every stage’s information about the software’s reliability which is taken as the reference or accordance to guide the software’s design, analysis and testing and so on. The correlative factors of various products, processes and resources in the whole software life cycle have a very important effect on software reliability and, uncertainty exists in the software reliability evaluation to some extent. Fuzzy evaluation has a strong applicability for solving the fuzzy problem and an approach for software reliability qualitative evaluation based on fuzzy evaluation was proposed in this paper. Firstly the rationale and process of this method were described in detail, then a case study was implemented. The experimental results showed that the approach was feasible and effective.

As the requirements of traffic functions and urban landscape, a reinforced concrete arch- deck bridge is designed with archaized connective corridors. The main dimensions and drawings are introduced and the static analytical results of the bridge are discussed in this paper. The numerical model was built by the integrated solution system for bridge and civil engineering- MIDAS/Civil. The results show that the temperature of bridge and the horizontal shift at arch toes due to sedimentation play important roles sensitively influencing the bending moments and displacements of control sections. Compared numerical results of the bridge only with dead loads, the maximum bending moments and displacements would reach 3.81 times and 6.52 times respectively. The axial force of arch is mainly resulted from dead loads, which gradually increases from arch crown to arch toes. The design and numerical results would give some references to similar bridges.

This paper is a study of the application of integrated intelligent computation to solve the problems of error compensation for high-precision a NC machining system. The primary focus is on the development of integrated intelligent computation approach to get an error compensation system which is a dynamic feedback neural network embedded in a NC machine tool. Optimization of error measurement points of a NC machine tool is realized by way of application of error variable attribute reduction on rough set theory. A principal component analysis is used for data compression and feature extraction to reduce the input dimension of a dynamic feedback neural network and reduce training time of the network. Taking advantage of ant colony algorithm on training of a dynamic feedback neural network does the global search so that network can converge to get a global optimum. Positioning error caused in thermal deformation compensation capabilities were tested using industry standard equipment and procedures. The results obtained shows that this approach can effectively improve compensation precision and real time of error compensation on machine tools.

In this paper both a hollow floor and the corresponding solid floor are analysed by using finite element software and the results are compared. The comparison is made through a detailed finite element study between a column-supported cast-in-situ hollow floor filled by tube with its solid counter-part. The orientation of the tube fillers causes the stiffness of the hollow slab to be orthotropic, potentially changing the distribution of load carrying between the two orthogonal directions. The inclusion of the hollows also potentially increases the flexibility of the slab. Recommendations for design of column-supported cast-in-situ concrete floors compared with the solid floor are then made with respect to distribution of design moments and calculation of deflections. Thus the reference was given to the designer.

The behaviors of linkage of built-in insulation reinforced concrete composite wall subjected to gravity load were experimental studied in this paper. The gravity load was computed as the sum of self-weights of thermal insulation layer, external concrete cover and surface decoration materials. Steel tube with square section was designed as the linkage. Two specimens modeling practical RCCW were cast and tested in Lab, many rectangular steel plates were used to simulated the uniformly distributed load on surface of external concrete cover. The relative displacement between inside structural reinforced concrete wall and external concrete cover, the strains of surface concrete and steel tube walls were measured. Tests were finished when load was over 3.24 times of design value, no relative displacement and only smaller concrete strains were observed, maximum tensile and compressive stresses of steel tube walls were only 6.3 % of design strength. It is concluded that the linkages are safe and the entirety of RCCW is good enough to satisfy the design requirements.

The behaviors of linkage of built-in insulation reinforced concrete composite wall subjected to wind load were experimental studied in this paper. Three specimens modeling practical RCCW were cast and tested under static and repeated loads. The relative displacement between inside structural reinforced concrete wall and external concrete cover, the strains of steel tube walls were measured. The results show that specimens damaged with cracks at interface between external concrete cover and thermal insulation layer when load was up to 11.3 times of design value, the maximum stress of steel tube walls reached 25.3 % design strength, the safety factor is 1.67 when concrete cracked at steel tube. Therefore, the linkages are reliable to bear wind load on external concrete cover.

Machining error of a NC machining system is a kind of comprehensive error in dynamically machining process; especially it is of errors with non-linear characteristics. In this paper, we will set up a kind of model of comprehensive errors analysis for a NC machining system and present an error compensation for high-precision a NC machining system by a dynamic feedback neural network embedded in a NC machine tool. The results obtained shows that this approach can effectively improve compensation precision and real time of error compensation on machine tools.