基于BP神经网络与小冲杆试验确定在役管道钢弹塑性性能方法研究 1)
宋明,李旭阳,曹宇光(
),甄莹,司伟山
),甄莹,司伟山
DETERMINATION OF ELASTOPLASTIC PROPERTIES OF IN-SERVICE PIPELINE STEEL BASED ON BP NEURAL NETWORK AND SMALL PUNCH TEST 1)
Song Ming,Li Xuyang,Cao Yuguang(),Zhen Ying,Si Weishan
),Zhen Ying,Si Weishan
图 9. BP神经网络训练集数据, 不同参数$n$对应的真应力-应变曲线: (a) $K$ = 200, (c) $K$ = 1000, (e) $K$ = 2000和不同参数$n$对应的小冲杆试验载荷-位移曲线(b) $K$ = 200, (d) $K$ = 1000, (f) $K$ = 2000 (续)
Fig. 9. BP neural network training set data: the true stress-strain curves corresponding to different parameters $n $(a) $K$ = 200, (c) $K$ = 1000, (e) $K$ = 2000, and the load-displacement curves of SPT corresponding to different parameters $n$ (b) $K$ = 200, (d) $K$ = 1000, (f) $K$ = 2000 (continued)
