摘要
水电站压力钢管因失稳屈曲破坏过程的复杂性及影响失稳因素的多样性,导致对该问题的研究很难进行。目前该问题的传统计算方法存在一定的局限性,有时甚至计算结果相差较大。本文用神经网络模型结合模拟退火算法对该问题进行数值仿真求解,并通过测试样本验证了算法的可行性,为压力钢管外压稳定问题的分析方法开拓了一条新的研究思路。
The process of losing stability and breach for reinforcing ring steel penstock under external pressure is very complex and a lot of factors affect this process,so the traditional calculating methods are limited,sometimes even the results differ from each other greatly.Here the problem is simulated by artificial neural network and numerically solved.The test results verify the feasibility and validity.
出处
《应用力学学报》
CAS
CSCD
北大核心
2009年第1期87-92,213,共6页
Chinese Journal of Applied Mechanics
关键词
压力钢管
外压稳定性计算
神经网络
模拟退火算法
penstock,stability calculation under external pressure,neural network,simulated annealing algorithm
