Hydraulic structures, such as ship locks and weirs, form an essential part of waterway networks. An efficient life-cycle management is necessary to manage these large concrete structures safely and economically. Inspections and material testing form an important part of this process, as they enable an improved assessment of the condition, materials and properties of the structure. Traditionally, the limited data from tests is used to estimate probability distributions of material parameters; characteristic values for the assessment are then obtained from these distributions. Spatial correlation between measurement locations or different material layers is typically neglected. In this contribution, the spatially variable material parameters are modelled with random fields. The available data from local measurements is used to update the distribution of the random fields using Bayesian analysis. For comparison, the approach of Eurocode 0 for obtaining characteristic values is also applied. The structural reliability is then calculated applying subset simulation. It is shown that the employed random field modelling approach provides a more detailed statement about the material parameters. The results of an application to a ship lock wall demonstrate that modelling the spatial variability of concrete properties can increase the reliability estimate of large hydraulic structures when measurement information is included.

诸如船闸和堰的水力结构是水路网络的重要组成部分。为了安全，经济地管理这些大型混凝土结构，必须进行有效的生命周期管理。检查和材料测试是该过程的重要组成部分，因为它们可以改善对结构的状况，材料和特性的评估。传统上，来自测试的有限数据用于估计材料参数的概率分布。然后从这些分布中获得评估的特征值。通常忽略测量位置或不同材料层之间的空间相关性。为此，使用随机场对空间可变材料参数进行建模。来自本地测量的可用数据用于使用贝叶斯分析更新随机字段的分布。为了进行比较，还采用了欧洲规范0来获得特征值的方法。然后，应用子集仿真计算结构可靠性。结果表明，采用的随机场建模方法提供了有关材料参数的更详细说明。应用于船闸壁的结果表明，在包含测量信息的情况下，对混凝土性能的空间变异性进行建模可以提高大型水工结构的可靠性估计。然后，应用子集仿真计算结构可靠性。结果表明，采用的随机场建模方法提供了有关材料参数的更详细说明。应用于船闸壁的结果表明，在包含测量信息的情况下，对混凝土性能的空间变异性进行建模可以提高大型水工结构的可靠性估计。然后应用子集仿真计算结构可靠性。结果表明，采用的随机场建模方法提供了有关材料参数的更详细说明。应用于船闸壁的结果表明，对混凝土性能的空间变异性进行建模可以在包含测量信息时提高大型水工结构的可靠性估计。