空军工程大学学报（自然科学版）2017，Vol.18Issue(6)：95-100,6.DOI:10.3969/j.issn.1009-3516.2017.06.016
基于IGWO-LSSVM的弹体侵彻地下洞室毁伤效应预测
Effect Forecast of Projectile Penetrating Underground Arched Structure Based on IGWO-LSSVM
摘要
Abstract
The great kinetic energy of penetration can cause damage to the structure.It is important to the protection engineering that predicting the penetration damage effect of the underground caverns accurately.In order to solve the problems of current method,an improved IGWO-LSSVM model is put forward.This model can form a mapping relationship between inputs and outputs by training the training samples.It can get corresponding peak pressure of the vault according to the inputs,and predict damage effect of the underground caverns with different spans and different burial depths.The results of ANSYS/LS-DYNA numerical simulation show that the model has good prediction effect on penetration effect of the underground caverns,which can meet the engineering requirements.关键词
侵彻/灰狼优化算法/最小二乘法支持向量机/峰值压力/预测Key words
penetration/gray wolf optimizer/least squares support vector machine/peak pressure/forecast分类
建筑与水利引用本文复制引用
张悦,孙惠香,冯盛辉,刘绍鎏,韩博..基于IGWO-LSSVM的弹体侵彻地下洞室毁伤效应预测[J].空军工程大学学报（自然科学版）,2017,18(6):95-100,6.基金项目
国家自然科学基金(51208506) （51208506）
