Numerical Simulation of the Fuzzy-random Reliability of RC Beams Strengthened with CFRP
The structure safety is a random event, but the safety boundary of structure must be fuzzy. Therefore the reliability design of the CFRP-strengthened RC beams should consider the fuzziness and the randomness. The Monte-Carlo program introducing fuzzy indicative function is compiled and the fuzzy indicative function is determined by the experiments. The random variable arrays submitted to the probability distribution function are produced directly with Matlab, which solving the Monte Carlo direct sampling problem. 16 pieces of CFRP- strengthened RC beams are constructed in the tests. The statistic parameters of stochastic variables can be obtained from the tests. The simulation of fuzzy- random reliability of RC beams is fulfilled with Monte Carlo method based on Matlab. The simulating results have been tested and verified with AFOSM method based on experiments.
CFRP Strengthen RC beams Fuzzy-random reliability Numerical simulation Monte Carlo
Shaowei Lv Huaiqin Xie Ping Chen
Department of Materials Engineering, Shenyang Institute of Aeronautical Engineering, Shenyang 110136 College of Materials Science and Technology, Harbin institute of technology, Harbin 150006, China
国际会议
南京
英文
1287-1293
2007-10-16（万方平台首次上网日期，不代表论文的发表时间）