secondly, neural network (nn) model was built up to predict ultimate bond strength between the rebar and corroded concrete.
其次,建立了受腐蚀钢筋混凝土极限粘结力的神经网络预测模型。
in addition, the ultimate bond strength decreases with the increase of anchorage length and bar diameter.
此外,极限粘结强度也随着锚固长度、钢筋直径的增大而减小。
the slip of reinforcement corresponding to the ultimate bond strength changes slightly up to 15 freezing and thawing cycles and greatly more than 15 cycles.
当冻融次数少于15次时,钢筋极限粘结荷载时的滑移变化不大,而冻融次数多于15次时滑移变化明显增大。
the typical bond-slip curve obtained and and factors such as ultimate bond strength and bond slip are analyzed compared with specimens in standard curing condition.
试验获得了钢筋与混凝土的荷载—滑移曲线,通过计算极限粘结强度和粘结滑移,并与常温标养下的试件进行了对比分析。