Inverse analysis of concrete dam thermal parameters based on an improved particle swarm optimization method

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Journal of Vibration and Shock ›› 2019, Vol. 38 ›› Issue (12) : 168-174.

WANG Feng 1,2 ZHOU Yihong1,2 ZHAO Chunju1,2 WANG Fang1,2

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Abstract

A swarm intelligence optimization algorithm-particle swarm optimization (PSO) model was constructed for thermal parameter identification based on temperature observation data.Therefore, thermal characteristics of concrete in real pouring environment can be obtained in real time.In order to solve this problem that traditional PSO is easy to fall into the local extreme point prematurely, an improved particle swarm optimization (IPSO) was proposed, which combines particle swarm optimization and concave function weight decreasing strategy.Effectiveness of IPSO was illustrated by the algorithm performance comparison analysis.Considering the influence of cooling water and outside temperature change, IPSO was applied to inverse analysis of thermal parameters of an arch dam during hot season construction.The inversion parameters were validated by comparison of measured temperature and calculated temperature.The numerical example shows that IPSO has advantages of converging quickly and identifying accurately.

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arch dam / thermal parameter / inversion analysis / particle swarm optimization / pipe cooling

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WANG Feng 1,2 ZHOU Yihong1,2 ZHAO Chunju1,2 WANG Fang1,2. Inverse analysis of concrete dam thermal parameters based on an improved particle swarm optimization method[J]. Journal of Vibration and Shock, 2019, 38(12): 168-174

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