摘   要：介绍了人工神经网络的基本原理及发展过程，讨论了主要基桩检测技术的优缺点，总结了不同阶段人工神经网络在基桩检测技术上的应用，分析了人工神经网络应用过程中在特征选取和网络模型设计中的特点，提出了当前研究的局限性和未来发展方向，可为进一步推动人工神经网络在基桩检测领域的实际应用提供参考。 Abstract: The basic principle and the development process of artificial neural network are introduced comprehensively, and the advantages and the disadvantages of main foundation pile test techniques are discussed. The applications of artificial neural network in the test technology of foundation piles at different stages are summarized, and the characteristics of feature selection and the network model design in these processes are mainly analyzed. The limitations of the current research and the future development direction are discussed, which provides a useful reference for further promoting the practical application of artificial neural network in the field of foundation pile test.

王海渊,李健民,张峰,等.人工神经网络在基桩检测中的应用综述[J].混凝土与水泥制品,2025(6):75-80. WANG H Y,LI J M,ZHANG F,et al.Review on the application of artificial neural network in pile foundation Test[J].China Concrete and Cement Products,2025(6):75-80.

摘   要：采用PVC管模拟套筒灌浆孔道，设计制备了不同加水量的灌浆料试件，对试件进行了抗压强度和表面硬度测试，选取不同函数表达式对试验数据进行了拟合，并根据实际工程验证了所选函数曲线的可靠性。结果表明：各试件的抗压强度随龄期的变化趋势基本相同，7 d前抗压强度发展较快，之后增速变缓，28 d后抗压强度基本不再变化，表面硬度表现出相同的规律；随着加水量的增加，各试件的抗压强度均有所降低；指数函数的拟合效果最优，相关系数R为0.925；根据实际工程验证，灌浆料抗压强度推定值与试验值的误差较小，测强曲线具有良好的可靠性。 Abstract: PVC pipes were used to simulate sleeve grouting holes, and grouting material specimens with different water added amounts were designed and prepared. The compressive strength and surface hardness of the specimens were tested, and different function expressions were selected to fit the test datas. The reliability of the selected function curve was verified based on actual engineering. The results show that the compressive strength of specimens shows a similar trend with age. The compressive strength develops rapidly before 7 d, but the growth rate slows down afterwards. After 28 d, the compressive strength remains basically unchanged, and the surface hardness shows the same pattern. As the amount of water added increases, the compressive strength of specimens decreases. The exponential function has the best fitting effect, with a correlation coefficient R of 0.925. According to actual engineering verification, the error between the estimated compressive strength of grouting material and the experimental value is small, and the strength measurement curve has good reliability.

侯高峰,宣典春,彭建和,等.表面硬度法检测套筒灌浆料强度试验研究[J].混凝土与水泥制品,2025(6):70-74,80. HOU G F,XUAN D C,PENG Jianhe,et al.Experimental study on the strength of sleeve grouting material by surface hardness method[J].China Concrete and Cement Products,2025(6):70-74,80.

摘   要：设计制备了硅墨烯保温一体化外墙，采用相控阵超声成像技术对外墙混凝土基层与硅墨烯保温板交界面处的缺陷进行了检测，并对比了缺陷深度理论值与检测值。结果表明：采用相控阵超声成像技术可以对外墙混凝土基层与硅墨烯保温板交界面处的缺陷进行检测；对于处于较浅位置的缺陷，采用相控阵超声成像技术的检测结果与理论值一致；对于处于较深位置的缺陷，采用该技术的检测结果与理论值存在一定误差；缺陷深度以及叠加区长度对相控阵超声成像技术的检测精度有一定的影响，对非叠加区内的缺陷深度检测结果精度相对较好，若对叠加区内以及有疑义的地方可进行单独成像。 Abstract: A silicon graphene insulation integrated external wall was designed and prepared, and phased array ultrasonic imaging technology was used to detect defects at the interface between the concrete base of the external wall and the silicon graphene insulation board. The theoretical value of defect depth was compared with the detection value. The results indicate that phased array ultrasonic imaging technology can be used to detect defects at the interface between the concrete base of the external wall and the silicone graphene insulation board. The detection results of phased array ultrasonic imaging technology for defects in shallow positions are consistent with the theoretical values, while there is a certain error between the detection results of the technology and the theoretical values for defects located in deeper positions. The depth of defects and the length of the overlapping area have a certain impact on the detection accuracy of phased array ultrasonic imaging technology. The accuracy of defect depth detection results is relatively good for non overlapping areas, and if there are suspicious areas within the overlapping area, separate imaging can be performed.

黄威,周志云,董庆广.相控阵超声成像技术检测硅墨烯保温一体化外墙缺陷试验研究[J].混凝土与水泥制品,2025(6):64-69 HUANG W,ZHOU Z Y,DONG Q G.Experimental study on detection of hollow defects in silicon graphene insulation integrated external wall using phased array ultrasonic imaging method[J].China Concrete and Cement Products,2025(6):64-69.