摘   要：基于改进的Andreasen-Andersen（MAA）颗粒堆积模型设计了93组UHPC配合比，根据93组样本的抗压强度与流动度建立了数据库，采用线性回归模型、二次项回归模型、人工神经网络（ANN）模型预测了UHPC的流动度和28 d抗压强度，并使用遗传算法（GA）对ANN模型进行优化得到了GA-ANN模型，最后对比了四种模型的预测精度和稳定性。结果表明：四种模型对UHPC流动度和28 d抗压强度预测精度的高低顺序为GA-ANN模型＞ANN模型＞二次项回归模型＞线性回归模型，其中，GA-ANN模型的R2分别达到了0.979和0.982。 Abstract：Based on the modified Andreasen-Andersen(MAA) particle accumulation model, 93 groups of UHPC proportions were designed, and a database was established based on the compressive strength and fluidity of the 93 groups of samples. Then the linear regression model, quadratic term regression model, and artificial neural network(ANN) model were used to predict the fluidity and the 28 d compressive strength of UHPC. And the genetic algorithm(GA) was used to optimize the ANN model to obtain the GA-ANN model. Finally, the prediction accuracy and stability of the four models were compared. The results show that, the order of accuracy of the four models in predicting the fluidity and 28 d compressive strength of UHPC is as follows: GA-ANN model ＞ ANN model ＞ quadratic term regression model ＞ linear regression model, in which the R2 of the GA-ANN model reaches 0.979 and 0.982, respectively.

鄢亦斌,刘开志,高立强,等.基于机器学习的超高性能混凝土性能预测[J].混凝土与水泥制品,2024(11):49-53,59. YAN Y B,LIU K Z,GAO L Q,et al.Performance prediction of ultra-high performance concrete based on machine learning[J].China Concrete and Cement Products,2024(11):49-53,59.

摘   要：研究了不同NaOH溶液浓度（8、10、12、14 mol/L）的超高韧性地聚合物复合材料（UHTGC）在常温（20 ℃）、高温（50、100、200 ℃）、低温（-20、-40、-60 ℃）环境下的抗冲击性能。结果表明：在常温环境下，随着NaOH溶液浓度的增大，UHTGC试件的抗冲击性能呈先增后降的趋势，最佳NaOH溶液浓度为12 mol/L；在高温环境下，随着NaOH溶液浓度的增大，UHTGC试件的抗冲击性能不断提高，当NaOH溶液浓度为14 mol/L时，UHTGC试件的峰值冲击荷载和冲击耗能均相对最大；在低温环境下，随着NaOH溶液浓度的增大，UHTGC试件的峰值冲击荷载呈先增后降的趋势，冲击耗能呈增大趋势，另外，随着低温温度的降低，UHTGC试件的冲击耗能逐渐增大。 Abstract: The impact resistance of ultra-high toughness geopolymer composites(UHTGC) with different concentrations(8, 10, 12, 14 mol/L) of NaOH solution at room temperature(20 ℃), high temperature(50, 100, 200 ℃), and low temperature(-20, -40, -60 ℃) environments was investigated. The results show that, at room temperature environment, with the increase of the concentration of NaOH solution, the impact resistance of UHTGC specimens shows a tendency of first increasing and then decreasing, and the optimal concentration of NaOH solution is 12 mol/L. At high temperature environment, with the increase of the concentration of NaOH solution, the impact resistance of UHTGC specimens is improved, and when the concentration of NaOH solution is 14 mol/L, the peak impact load and impact energy consumption of UHTGC specimens are relatively largest. At low temperature environment, with the increase of the concentration of NaOH solution, the peak impact load of UHTGC specimen shows a tendency of first increasing and then decreasing, and the impact energy consumption of UHTGC specimen shows a tendency of increasing. In addition, with the decrease of the low temperature, the impact energy consumption of UHTGC specimen increase gradually.

王圣怡,李天歌,周昱程.环境温度对超高韧性地聚合物复合材料抗冲击性能的影响[J].混凝土与水泥制品,2024(11):54-59. WANG S Y,LI T G,ZHOU Y C.Effect of environmental temperature on the impact resistance of ultra- high toughness geopolymer composites[J].China Concrete and Cement Products,2024(11):54-59.

摘   要：研究了钢纤维（SF）埋置深度（5、10、15、20 mm）、碳纳米管（CNTs）掺量（0.1%、0.2%、0.3%、0.4%）、碳酸钙晶须（CAS）掺量（1%、2%、3%、4%）对SF-UHPC基体界面黏结性能的影响，并进行了微观机理分析。结果表明：随着SF埋置深度的增加，拉拔峰值荷载和SF-UHPC基体的拉拔能均呈增大趋势，但界面黏结强度呈降低趋势；CNTs的掺入虽降低了SF-UHPC基体的拉拔能，但适量CNTs可提升拉拔峰值荷载和SF-UHPC基体的界面黏结强度；掺入适量CAS可显著改善SF-UHPC基体的界面黏结性能；相较于CNTs，CAS对SF-UHPC基体界面黏结性能改善效果相对更好。 Abstract: The effects of the embedment depth(5, 10, 15, 20 mm) of steel fiber(SF), the content(0.1%, 0.2%, 0.3%, 0.4%) of carbon nanotube(CNTs) , and the content(1%, 2%, 3%, and 4%) of calcium carbonate crystal whisker(CAS) on the interfacial bonding performance of SF-UHPC matrix were investigated, and the micromechanisms analysis was conducted. The results show that, with the increase of the embedment depth of SF, the peak pull-out load and the pull-out energy of SF-UHPC matrix show an increasing trend, but the interfacial bonding strength shows a decreasing trend. Although the incorporation of CNTs reduces the pull-out energy of SF-UHPC matrix, the peak pull-out load and the interfacial bonding strength of SF-UHPC matrix can be improved with the appropriate content of CNTs. The incorporation of appropriate content of CAS can significantly improve the interfacial bonding performance of SF-UHPC matrix. Compared with CNTs, CAS has a relatively better improvement effect on the interfacial bonding performance of SF-UHPC matrix.

吉世林.纳米纤维对钢纤维-UHPC基体界面黏结性能的影响吉世林[J].混凝土与水泥制品,2024(11):60-64,69. JI S L.Effect of nano-fiber on interfacial bonding performance of steel fiber-UHPC matrix[J].China Concrete and Cement Products,2024(11):60-64,69.