Authors: Yue Hong, Lan Lan Jiang, Dong Xiao Niu, Fu Yan Liu, Xiao Yu Wang, Ling Nan Wu
Abstract: This paper analyzed two different types of nuclear fuel cycle which refferred to one-through fuel cycle and close fuel cycle (uranium-plutonium fuel cycle). Based on specific economic elements related to each cycle process, this paper built a model to evaluate PWR nuclear fuel cycle’s economy. Then, for given data of PWR, empirical analysis and sensitivity analysis were carried out. The result showed the superiority of the close fuel cycle compared to the one-through cycle.
5174
Authors: Gui Ping Chen, Gui Lin Wen
Abstract: Three-dimensional parametric entity model was established for the high speed grinder spindle using Pro/Pragram in this article, the sample data of the artificial neural network model was obtained with the modal analysis performed by MSC.Patran/Nastran finite element analysis software, and the dynamic analysis model of high-speed grinder was established based on BP artificial neural network, the the modal analysis experiment of high speed grinder spindle and the sensitivity analysis of first-order natural frequency for design parameters were finished. Research shows that the dynamic characteristic of hollow spindle structure is much better than solid structure, compared with finite element model, BP artificial neural network model can realize optimization design and calculation of complex structure more quickly.
257
Authors: Biao Li, Fu Guo Tong, Chang Liu
Abstract: The seepage control is one of the most important aspects of dam security measures, which is usually related to the depth, thickness, permeability of concrete curtain. Based on finite element method, this paper calculated the sensitivity of dam foundation seepage discharge with the permeability, depth, and thickness of concrete curtain. The results show that seepage discharge mainly relies on the depth of curtain in case of shallow overburden. The total seepage discharge will sharply decrease when the curtain trend to be closed. The thickness is a key factor of seepage control for a thinner concrete curtain. The effect of increasing the curtain thickness on seepage control becomes more and more unapparent as it thickening. The sensitivity of curtain permeability to the seepage discharge increases first and then decreases with the strengthening of curtain impermeability.
749
Authors: Peng Tan, Jing Song Qian, Ge Yang
Abstract: In order to clear the slope geometry, surrounding soil parameters, sand filling parameter and other factors on the degree of influence of sand embankment slope stability, the sensitivity of the sand embankment slope stability influences factors was analyzed by using the orthogonality analysis method. The results show that the sequence of these influencing factors in terms of the influencing degree on the slope stability is embankment height > the friction angle of sand > the friction angle of surrounding soil > the cohesive strength of surrounding soil > slope gradient > the cohesive strength of sand > the bulk density of surrounding soil > thickness of surrounding soil > top layer thickness > the bulk density of sand. The embankment height, the friction angle of sand and the friction angle of surrounding soil are highly significant factors. The cohesive strength of surrounding soil, slope gradient and the cohesive strength of sand are significant factors.
1171
Authors: Xue Jun Feng, Xiao Jing Fan, Yan Zhang, Liu Peng Jiang
Abstract: With the growing demand of dry bulk in China, sea-rail intermodal transport gets more attention. In order to define the key factors of sea-rail intermodal transport of dry bulk , system dynamic and modeling software VENSIM were used to establish system dynamic model of sea-rail intermodal transport of dry bulk, and the case of sea-rail intermodal transport of dry bulk of Meizhou Bay Port in Fujian was used to simulate and check the model, the result shows that the model is feasible and effective. Finally, the key factors in the model were sensitively analyzed , and suggestions of promoting the development of sea-rail intermodal transport in Meizhou Bay port were made.
715
Authors: Jian Zhang, Chun Jing Ma, Xiang Feng Ji, Gang Zhong
Abstract: Comprehensive terminal integrates different modes of transport and sharing rates of different traffic modes influence its planning greatly. To determine the sharing rates, it’s necessary to study mode choice probability of passengers. Based on the theory of disaggregate choice, with the survey of mode choices of passengers arriving by rail in Nanjing south railway station, this paper establishes multinomial logit (MNL) model and nest logit (NL) model, considering three types of modes of transport including the subway, regular bus, and taxi. Models are calibrated with SPSS and validated through statistical indicators. Therefore, important factors influencing choice are obtained. The accuracy test results of two kinds of models show that NL model has higher prediction accuracy, and can overcome the shortcomings of traditional logit model’s independent and irrelevant alternatives (IIA). Finally, this paper develops the sensitivity analysis using the NL upper model as an example, and gives the sensitivity physical meaning, namely the development level of taxi.
678
Authors: Shuai Li, Jian Min Zhang, Wei Lin Xu, Yu Rong Wang, Yong Peng, Jun Ning Li, Xiao Long He, Pan Li
Abstract: As for the level of tail-water often rose when the situation of tailrace river changing during the process of construction of hydroelectric power station, one-dimensional mathematical model is used through two procedures to solve this problem. In the first, the sensitivity of three key parameters including roughness, cross-section spacing Δs, starting regulation level and section in the mathematical model were discussed. The results indicate that: (1) Positive relationship between ΔY/Y and n, shows the greater flow rate, the more sensitive of water depth changes to roughness coefficient; (2) The cross-section spacing Δs affect the large flow more obvious than the smaller; (3) The effect of the middle and lower reaches of river are bigger than the upstream. Research results provided guidance of model parameters selection.
201
Authors: Hao Zhou, Bin Xu, Jian Wu Zhang
Abstract: The dynamic performance of suspensions plays direct role in vibration control of railway vehicles and also has great impact on the ride comfort and operation stability. For assessment of the influence, a method of sensitivity analysis was performed, in which a Multi-Body System (MBS) dynamic model for the HXN5 locomotive counting for significant DOFs and nonlinearities was developed in SIMPACK platform and validated by real tests. More than tens of dynamic simulations were performed by a variety of damping and stiffness coefficients of the primary and secondary suspensions. By simulation, it is found that the vertical stiffness and damping of the primary suspension have the most sensitive influence. The lateral stiffness of the primary suspension, the longitudinal and lateral stiffness as well as the longitudinal and vertical damper of the secondary suspension possess the least effect on the railway locomotive vibration characteristics. It is also shown parameters of the longitudinal stiffness of the primary suspension, the vertical stiffness and lateral damper of secondary suspensions are of intermediate influence.
201
Authors: Shu Sen Liu, Bo Qiang Shi, Wen Yu Zhang, Xue Jie Fu, Yue Wei Wu
Abstract: In this paper, the design of a automobile tension bar analysis example, the use of sensitivity analysis of time-varying reliability robust optimal design tension bar design parameters for reliability sensitivity analysis shows that the reliability of the impact of the strength of the material and rod diameter is positive, and the reliability of the impact of the load and rod diameter is negative. Correct application of time-varying reliability robust optimal design of mechanical parts when variant reliability robust optimization design, design service at any time during the period were not sensitive to changes of the design parameters of the reliability of the parts, and improve the parts reliability soundness.
143
Authors: Chuang Ye Wang, Fei Zhang, Wan Dong Han
Abstract: There are many factors which influence the slope stability. In order to analyze the degree of importance of each influence factor on slope stability, this paper establishes a slope stability analysis model based on BP neural network. The computation results showed that the model was reasonable and reliable. On this basis, the sensitivity of various influence factors to slope stability was analyzed by single-factor test, which were internal friction angle of rock, bulk density, pore pressure coefficient, slope angle, rock cohesion and slope height in a descending order of sensitivity.
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