基于ANSYS的压力容器可靠性分析.pdf

Nuclear Power Engineering 301 2 0 0 92 Vol. 30. No.1 Feb. 2 0 0 9 0258-0926(2009)01-0109-03 ANSYS 518124 ANSYS ANSYS TG404A 1 ANSYSPDS 2 ANSYS ANSYS 1 ANSYS ANSYS ANSYS 3 3.1 P=1.0 MPa 502 000 mmR=1 500 mmt1=14 mmt2=12 mm L=100 mm 1 PLANE82 2008-01-162008-08-28 Vol. 30. No. 1. 2009110 Fig. 1 FEM Model 1/4 3.2 maxs 1 max MPa s MPa s 195 MPa maxs XZ 2 XZ0 0XZ ANSYS PDS E 2 1 3.3 ANSYS Z(X)095% 1 Table 1 Random Variable and Its Distribution t1/mm 14 1 t2/mm 12 1 P/MPa 1.0 0.1 E/MPa 2×105 0.2×105 5.71%94.29% 2 500 33 108223 MPa 164 MPa20.75 MPa 2 Fig. 2 Maxstress Sample History Fig. 3 Distribution of Maxstress 4 2.5% 2.5% 4P t2 ANSYS111 PP 4 Fig. 4 Sensitivity of Random Variable 5 P Fig. 5 Histogram of Variable P t1E P5 4 ANSYS 1 . h C. 2006 . 2 . J. 2003403407. Reliable Analysis for Pressure Vessel Based on ANSYS PENG Cui-ling, AI Hua-ning, LIU Qing-shong, XIANG Wen-yuan (China Nuclear Power Technology Research Institute, Shenzhen Guangdong, 518124, China) Abstract: With the PDS of ANSYS procedure, the ramdomicity of the actually structure design parameters is simulated, by taking thewall thickness, pressure load and elastic module as input random variables. Based on the reliablity analysis of the pressure vessel by Monte-Carlo procedure, the stress probability distribution of this finite element analysis model and the sensitivity of the design parameters such as the pressure load and wall thickness to the stress distribution are obtained Key words: Pressure vessel, Reliable analysis, ANSYS, Monte-Carlo 19762003 19721997 1973