高含水率粉土路基填料工程力学性能改良试验研究

为有效改善高含水率粉土路基工程力学性质，同时节约工程造价，采用草木灰+石灰混掺方式对高含水率粉土进行了改良实验。结果表明：草木灰和石灰均对粉土具有降水作用，但石灰的效果优于草木灰，两者混掺时，草木灰可起到分散的作用，从而提升降水效果；当草木灰掺量为15%,石灰掺量为4%时，对高含水率粉土的改良效果最好，相比素粉土，粘聚力、内摩擦角和单轴抗压强度分别提升800%、19.4%和300%;固化改良之后的粉土在碾压2遍后，压实度>94%,可满足上、下路基的压实度要求，碾压5遍后，压实度>96%,可满足上、下路床的压实度要求。     

Method of estimating human error probabilities in construction for structural reliability analysis based on analytic hierarchy process and failure likelihood index method

Partial safety factors must be evaluated precisely for the given target reliability index to ensure the certain level of structural reliability due to uncertain factors. The current studies of partial safety factors do not consider human error in construction for structural reliability. A mathematically model should be improved to simulate the partial safety coefficient concerned uncertainty factors which concern the effect of human error in construction. We employ the contaminated distribution to obtain the realistic mean value and standard variance of variable of structural parameters which coexist with random error human error. The reasonable partial safety coefficient can be calculated based on the realistic value of structural parameters concerned the effects of random error and gross error.     

点焊过程信号采集及焊接质量预测研究

电阻点焊技术因其低价高效性在汽车行业广泛应用于车身各部件的连接上,点焊的质量直接影响到整个汽车的品质。本文设计了一个点焊质量评分预测模型,通过传感器采集焊接过程中的动态电流、电压等信号,在与焊接质量评分进行相关性分析后选取可以表征焊接质量的特征量,基于机器学习算法建立点焊焊接质量预测模型并进行误差分析。最后选用随机森林算法模型,得到焊接评分预测值,结果表明预测值与真实值的误差可以控制在2%以内,预测较为准确。     

Determination of partial safety coefficients of structural reliability based on contaminated distribution

Partial safety factors must be evaluated precisely for the given target reliability index to ensure the certain level of structural reliability due to uncertain factors. The current studies of partial safety factors do not consider human error in construction for structural reliability. A mathematically model should be improved to simulate the partial safety coefficient concerned uncertainty factors which concern the effect of human error in construction. We employ the contaminated distribution to obtain the realistic mean value and standard variance of variable of structural parameters which coexist with random error human error. The reasonable partial safety coefficient can be calculated based on the realistic value of structural parameters concerned the effects of random error and gross error.