CAJ | 학술논문

利用灰关联识别方法分析各震害影响因子对土石坝抗震性能的影响程度，并筛选出关联程度大的震害影响因子。利用BP人工神经网络非线性模型对震害实例样本进行了训练。结果表明：利用灰关联分析，可得出各因子对土石坝抗震性能影响程度的大小排序，供实际的工程抗震设计参考，基于BP人工神经网络模型的土石坝的震害预测结果与震害实例的实际情况比较吻合。
이용회관련식별방법분석각진해영향인자대토석패항진성능적영향정도，병사선출관련정도대적진해영향인자。이용BP인공신경망락비선성모형대진해실례양본진행료훈련。결과표명：이용회관련분석，가득출각인자대토석패항진성능영향정도적대소배서，공실제적공정항진설계삼고，기우BP인공신경망락모형적토석패적진해예측결과여진해실례적실제정황비교문합。
The paper analyzes the influence factors that affect the earthquake-resistance performance of the earth dam and selects the damage factor with the large degree of association by grey relational analysis. And the actual damage samples are trained by BP artificial neural network model. The research shows that effect to the earthquake-resistance performance of these factors can be obtained by grey relational analysis and it can benefit the actual engineering design of earthquake-resistance of earth dam.It also can be found the prediction results are similar to the actual seismic damage of earth dam by the grey relational analysis and BP neural network mode.