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RISS 인기검색어
- 검색키워드
- 저자 : Minghai Yuan (검색결과 3 건)
- 무료
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Research on Green Design Based on the Environmental Requirement
Ying Bai,Minghai Yuan 보안공학연구지원센터 2016 International Journal of Hybrid Information Techno Vol.9 No.12
For the increasingly serious global environmental pollution and rising awareness of environmental protection, a method for green design based on the environmental requirements is put forward. This paper lists the basic content based on the environmental requirements. On the grounds of knowledge reuse, the existing products’ conformity degree model is built on base of the fuzzy set theory. The fuzzy-analytic hierarchy process (F-AHP) and fuzzy set theory are used to determine the importance of the product's environmental requirements. In this paper we calculate the determination of the existing product with the each environmental requirement and the comprehensive conformity of the product. Then we can choose the best products to modify the design and achieve the purpose of green design. Finally we give the final green design method based on environmental requirements. In the product on the analysis of the conformity degree of the various environmental requirements, the method combines with the fuzzy analytic hierarchy process and fuzzy set method to effectively choose the best product that highly meets environment requirements to optimize and shorten the design cycle. Taking the design of the CNC machine tool as an example, we can get the validation that the method is an effective method of product green design.
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Aimin Ji,Xu Yin,Minghai Yuan 대한기계학회 2015 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.29 No.9
There are two problems in Collaborative optimization (CO): (1) the local optima arising from the selection of an inappropriate initialpoint; (2) the low efficiency and accuracy root in inappropriate relaxation factors. To solve these problems, we first develop the Latinhypercube design (LHD) to determine an initial point of optimization, and then use the non-linear programming by quadratic Lagrangian(NLPQL) to search for the global solution. The effectiveness of the initial point selection strategy is verified by three benchmark functionswith some dimensions and different complexities. Then we propose the Adaptive relaxation collaborative optimization (ARCO)algorithm to solve the inconsistency between the system level and the disciplines level, and in this method, the relaxation factors are determinedaccording to the three separated stages of CO respectively. The performance of the ARCO algorithm is compared with the standardcollaborative algorithm and the constant relaxation collaborative algorithm with a typical numerical example, which indicates thatthe ARCO algorithm is more efficient and accurate. Finally, we propose a Hybrid collaborative optimization (HCO) approach, whichintegrates the selection strategy of initial point with the ARCO algorithm. The results show that HCO can achieve the global optimalsolution without the initial value and it also has advantages in convergence, accuracy and robustness. Therefore, the proposed HCO approachcan solve the CO problems with applications in the spindle and the speed reducer.
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Effect of bond slip on the performance of FRP reinforced concrete columns under eccentric loading
Chunyang Zhu,Li Sun,Ke Wang,Yue Yuan,Minghai Wei 사단법인 한국계산역학회 2019 Computers and Concrete, An International Journal Vol.24 No.1
Concrete reinforced with fiber reinforced polymer (FRP) bars (FRP-RC) has attracted a significant amount of research attention in the last three decades. Alimited number of studies, however, have investigated the effect of bond slip on the performance of FRP-RC columns under eccentric loading. Based on previous experimental study, a finite-element model of eccentrically loaded FRP-RC columns was established in this study. The bondslip behavior was modeled by inserting spring elements between FRP bars and concrete. The improved Bertero-Popov-Eligehausen (BPE) bond slip model with the results of existing FRP-RC pullout tests was introduced. The effect of bond slip on the entire compression-bending process of FRP-RC columns was investigated parametrically. The results show that the initial stiffness of bond slip is the most sensitive parameter affecting the compression-bending performance of columns. The peak bond stress and the corresponding peak slip produce a small effect on the maximum loading capacity of columns. The bondslip softening has little effect on the compression-bending performance of columns. The sectional analysis revealed that, as the load eccentricity and the FRP bar diameter increase, the reducing effect of bond slip on the flexural capacity becomes more obvious. With regard to bond slip, the axial-force-bendingmoment (P-M) interaction diagrams of columns with different FRP bar diameters show consistent trends. It can be concluded from this study that for columns reinforced with large diameter FRP bars, the flexural capacity of columns at low axial load levels will be seriously overestimated if the bond slip is not considered.
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