Orthogonal test is used to study the influence laws to physical and mechanical properties of steel fiber reinforced concrete, which is caused by the four elements such as water cement ratio, early strength agent conte...
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(纸本)9780984065882
Orthogonal test is used to study the influence laws to physical and mechanical properties of steel fiber reinforced concrete, which is caused by the four elements such as water cement ratio, early strength agent content, steel fiber content and mineral aggregate gradation. The results showed that the most significant influential element on concrete workability is mineral aggregate gradation, then the water cement ratio. Flexural strength is increased when adding steel fiber content - thus being the most influential element of steel fiber reinforced concrete [flexural strength]. Compressive strength is inversely proportional to water cement ratio, which is the most Influential element of steel fiber reinforced concrete [compressive strength]. The optimum steel fiber reinforced concrete mix proportion is obtained by orthogonal test: standard gradation, water cement ratio: 0.38, early strength agent content: 1%, steel fiber content: 50kg/m3. 3d and 28d's flexural strength of this mix proportion is separately increased by 10% and 12%. Wear Resistance is increased by 44.6%, compared to common cement concrete mix proportion. Research achievement can be applied to rapid repair construction of cement concrete pavement.
The electromagnetic waves propagation situation is very complex in mine tunnels, so it is important to establish an efficient MIMO channel model for applying wireless communication technology to coal mine underground....
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This paper proposes a novel adaptive interpolation filter (AIF) to reduce computational complexity and bit-rate of video coding. In the proposed AIF, the filter coefficients of B frames, which are predicted from those...
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Advances in quantum computers pose potential threats to the currently used public-key cryptographic algorithms such as RSA and *** a promising candidate against attackers equipped with quantum computational power,Mult...
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Advances in quantum computers pose potential threats to the currently used public-key cryptographic algorithms such as RSA and *** a promising candidate against attackers equipped with quantum computational power,Multivariate Public-key Cryptosystems(MPKCs)has attracted increasing attention in recently ***,the existing MPKCs can only be used as multivariate signature schemes,and the way to construct an efficient MPKC enabling secure encryption remains *** employing the basic MQ-trapdoors,this paper proposes a novel multivariate encryption scheme by combining MPKCs and code-based public-key encryption *** new construction gives a positive response to the challenges in multivariate public key *** analysis shows that our scheme is secure and efficient,and its private key size is about 10 times smaller than that of McEliece-type cryptosystems.
In this paper, we propose a novel registration algorithm based on minimal spanning tree. First, we extracted uniform sub-sampling points from image. Second, based on the feature points, in addition to using pixel inte...
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This paper is concerned with the problems of H-two filtering for discrete-time Markovian jump linear systems subject to logarithmic quantization. We assume that only the output of the system is available, and therefor...
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This paper is concerned with the problems of H-two filtering for discrete-time Markovian jump linear systems subject to logarithmic quantization. We assume that only the output of the system is available, and therefore the mode information is nonaccessible. In this paper, a mode-independent quantized H-two filter is designed such that filter error system is stochastically stable. To this end, sufficient conditions for the existence of an upper bound of H-two norm are presented in terms of linear matrix inequalities. Considering uncertainty of system matrices, a robust H-two filter is designed. The proposed method is also applicable to cover the case where the transition probability matrix is not exactly known but belongs to a given polytope. Finally, numerical examples are provided to demonstrate the effectiveness of the proposed approach.
With training of the actual work ability of our civil engineering students as the starting point, our institute works at making full use of the local resource superiority and highlighting the hydropower characteristic...
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A remote debugging system for OpenMP parallel program is presented in this paper. The system consists of two parts, namely, an integrated debugging environment running on the clent-side and a background daemon running...
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It is a complicated problem for the bottom-to-top adaptive conceptual design of complicated products between structure and function. Reliable theories demand to be found in order to determine whether the structure acc...
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It is a complicated problem for the bottom-to-top adaptive conceptual design of complicated products between structure and function. Reliable theories demand to be found in order to determine whether the structure accords with the requirement of design. For the requirement generally is dynamic variety as time passes, new requirements will come, and some initial requirements can no longer be used. The number of product requirements, the gene length expressing requirements, the structure of the product, and the correlation matrix are varied with individuation of customer requirements of the product. By researching on the calculation mechanisms of dynamic variety, the approaches of gene expression and variable length gene expression are proposed. According to the diversity of structure selection in conceptual design and mutual relations between structure and function as well as structure and structure, the correlation matrixes between structure and function as well as structure and structure are defined. By the approach of making the sum of the elements of correlation matrix maximum, the mathematical models of multi-object optimization for structure design are provided based on variable requirements. An improved genetic algorithm called segment genetic algorithm is proposed based on optimization preservation simple genetic algorithm. The models of multi-object optimization are calculated by the segment genetic algorithm and hybrid genetic algorithm. An example for the conceptual design of a washing machine is given to show that the proposed method is able to realize the optimization structure design fitting for variable requirements. In addition, the proposed approach can provide good Pareto optimization solutions, and the individuation customer requirements for structures of products are able to be resolved effectively.
An aggregate signature scheme allows a public algorithm to aggregate n signatures of n distinct messages from n signers into a single signature. By validating the single resulting signature, one can be convinced that ...
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