Study on Nonlinear Multi-Objective Optimization for Concrete Mixed Proportions

Abstract:

In the process of the optimization of concrete mixed proportions in the gravity-type dam of the upper reservoir in Yixing Pumped Storage Power station, potential problems of initial mixed proportions are analyzed and a set of nonlinear optimized multi-objective is drawn up. A stepwise regression analysis and duplex optimized method are used to solve optimized multi-objective model. By increasing the order of regression equation and softening the variables, objectives and constraints system, the shortcoming of linear optimization such as narrow variation span, severe formal limitations of objective and constraint function can be overcome and the flexibility of the choice for optimized objective is easily to be achieved. Combined with the traditional linear regression method, the results of optimization have been corrected further. The practical effect shows that the work achieves very good technical and economic benefits with a smaller amount of test work to reduce the project cost.

• Periodical: Advanced Materials Research (Volumes 671-674)
• Pages: 1706-1710
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.671-674.1706
• Online since: March 2013
• Authors: Shuang Ying Zuo*, Hua Long Cai
• Keywords: Concrete Mixed Proportion, Multi-Objective Optimization (MOP), Nonlinear Regression

References

[1] Faribain E M R, Romido M M S, Filho D T, et al. Computers & Structures, Vol. 82(2004), p.281.

[2] Yeh I C. ASCE J Comput Civil Eng Vol. 13(1999, 1), p.36.

[3] Guohua Liu, Bin Chen, Shuyu Wang et al. Journal of hydroelectric Engineering (2003, 4), p.45 (in Chinese).

[4] Bin Chen, Fuqiang Li, Guohua Liu et al. Journal of Zhejiang University (Engineering Science), Vol. 39(2005, 1), p.16 (in Chinese).

[5] JGJ55－2000. The design specifications of ordinary concrete mix, edited by China Building Industry Publishing (2001), in press.