Papers by Keyword: Sensitive Analysis

Abstract: The paper aims to provide a theoretical method of multi-parameter optimization collocation for sealing structure design. Based on the tightness analysis method, the paper analyzed the effects of several major influence factors on the maximal gasket contact stress. Some sensitive parameters were chosen according to the tightness analysis results. Orthogonal experiment method was applied in the current work to find the optimum combination of parameters which will contribute to a better sealing performance of the connections. The theoretical way proposed in this paper can effectively shorten the design period and is helpful to improve the quality of the design and reduce the design cost.

Abstract: As a new structure type, arch bridge of concrete filled steel tube (CFST) has many merits and unique dynamic characteristics. Some present researches indicate that the CFST arch bridge has obvious impact effect, but the research on its dynamic performance due to vehicle is relative backward. In this paper, power spectral density function is selected to simulate the roughness of pavement, the dynamic equation of vehicle-bridge is built with seven degrees of freedom vehicle model. Based on separated iterative method, the parameters’ influence of CFST arch bridge on dynamic performance due to vehicle is carried out systematically. The analysis results are useful and helpful for the design theory of impact effect of CFST arch bridge.

Abstract: It is difficult to discriminate the lithology of complex lithological profile which contains lava, terrigenous sedimentary rock and volcanic transitional lithology by using conventional logging curves. Attributing to different kinds of lithology, different logging items have different reflecting abilities. Based on the 500 Hailar Basin complex lithology samples, we’ve made logging response cross plots of resistivity and radioactive curves, porosity and resistivity curves, porosity curves and radioactive curves to identify the sensitive feature of logging response among different lithologies. The research provides the basis for fine evaluation of complex lithology profile by using the well logging data.

Abstract: The carbonate looping process is a promising technology for post-combustion CO₂ capture from power plants.CO₂ capture is performed in a system of two fluidized bed reactors.In this paper, material and energy of the process have been performed using ASPEN PLUS.The present study focuses on energy recovery of CCRs system and the effect of make-up mass flow on circulating solids mass flow, coal feed to the calciner, and CO₂ capture efficiency.

Abstract: The aim of this study is to propose two numerical models by a well-known soft computing method, Genetic Programming (GP), for the estimation of soils compaction parameters. Genetic Programming is a pattern recognition approach that has the ability of modeling the non-linear behavior of complex engineering problems. The input variables were the soil classification properties, and the outputs were the Optimum Moisture Content (OMC) and Maximum Dry Density (MDD). To provide model, a database including properties of different soils classified as CH, CI, CL, GC, GM, MH, MI, ML and SC was used. In addition, a new Multiple Linear Regression (MLR) based formula using the database, compared with the GP based model. Study results revealed that the proposed formula by GP can predict the compaction parameters of soils in a highly precise manner, and its outputs were in satisfactory conformity with real test results. Performances of the proposed models evaluated using the regression statistical analyses. The proposed formulae can be useful for the preliminary design of engineering projects and are more useful for cases with time and financial limitations.

Abstract: Heat furnace is one of the most important parts in iron and steel industry which is one of the basic industries. The control of furnace quality indices has a direct impact on iron and steel qualities and energy consumptions in an iron and steel manufacturing process. Due to dramatic changes of exhaust gas in combustion, this multi-variable process becomes time-varying, and also has inherent nonlinearities, couplings among the variables, large inertias and time delays.Therefore, manual operations are still being widely used in quality indices control. In this paper, an optimization control method is proposed for the control of furnace quality indices. The optimization consists of a materials temperature calculation model, an optimization objective, an ideal materials heating model and a furnace heating model. Optimization algorithm consists of the maximum principle, the simulated annealing algorithm，the iterative algorithm and sensitive analysis.Finally, quality indices were controlled by lower layer loop control on-line.The proposed optimization control method has been successfully applied to some steel plants. The industrial applications show the effectiveness of the proposed method.