基于遗传算法和神经网络的隧道围岩位移智能反分析
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Release time:2020-08-09 Journal:中南大学学报(自然科学版) Place of Publication:中国 Key Words:位移反分析；遗传算法；神经网络；正交试验 Abstract:基于正交试验设计和FLAC3D建立的学习样本以及测试样本,通过工程现场获取的围岩位移信息,用神经网络建立待反演参数与围岩位移之间潜在的映射关系。研究结果表明:利用该神经网络的仿真预测功能,结合遗传算法搜索反演参数的最优解,从而实现位移反分析;可将反演结果反馈于隧道支护结构的设计,实现隧道的信息化施工与设计。 Co-author:王跃飞, 丁国华, 冯德山, 彭建国, 刘宝琛 First Author:黄戡 Indexed by:Applied Research Document Code:1672-7207(2011)01-0213-07 Discipline:土木工程 Document Type:J Volume:42 Issue:1 Page Number:213-219 ISSN No.:1672-7207 Translation or Not:no CN No.:43-1426/N Date of Publication:2011-01-26 Included Journals:EI -
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