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Inner-Sphere Reorganization Eneregy For Metal Ion-Benzene Complex in Electron-Transfer Process
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作者 Jian XU Zheng Yu ZHOU Yan He GUO(Department of Chemistry,Qufu Normal University, Qufu, Shandong, 273165) 《Chinese Chemical Letters》 SCIE CAS CSCD 1997年第8期729-732,共4页
Based on the capture force field potential model and the adiabatic invariant proposed by Bates, adopting improved average dipole orientation (IADO) theory, the force constants between transition metal ions and benzene... Based on the capture force field potential model and the adiabatic invariant proposed by Bates, adopting improved average dipole orientation (IADO) theory, the force constants between transition metal ions and benzene (bz) and also a series of inner-sphere reoganization energy (REin) were calculated. The reasons for the differences between theoretical predictions and experimental results were discussed. 展开更多
关键词 Co Ag Inner-Sphere reorganization Eneregy For Metal Ion-Benzene Complex in Electron-Transfer process
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Real-time and dynamic schedule optimization of construction projects on the basis of lean construction 被引量:1
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作者 祁神军 《Journal of Chongqing University》 CAS 2007年第3期177-186,共10页
Lean construction has been newly applied to construction industry. The best performance of a project can be achieved through the precise definition of construction product, rational work break structure, lean supply c... Lean construction has been newly applied to construction industry. The best performance of a project can be achieved through the precise definition of construction product, rational work break structure, lean supply chain, decrease of resources waste, objective control and so forth. Referring to the characteristics of schedule planning of construction projects and lean construction philosophy, we proposed optimizing methodology of real-time and dynamic schedule of construction projects based on lean construction. The basis of the methodology is process reorganization and lean supply in construction enterprises. The traditional estimating method of the activity duration is fuzzy and random;however, a newly proposed lean forecasting method employs multi-components linear-regression, back-propagation artificial neural networks and learning curve. Taking account of the limited resources and the fixed duration of a project, the optimizing method of the real-time and dynamic schedule adopts the concept of resource driving. To optimize the schedule of a construction project timely and effectively, an intellectualized schedule management system was developed. It can work out the initial schedule, optimize the real-time and dynamic schedule, and display the schedule with the Gant Chart, the net-work graph and the space-time line chart. A case study was also presented to explain the proposed method. 展开更多
关键词 lean construction lean supply lean forecasting schedule planning process reorganization intellectualized schedule management system
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