Abstract
Temperature is one of the factors affecting the safety operation of concrete arch dams. To accurately reconstruct the temperature field of the concrete arch dam online based on the temperature data of several typical dam sections, this paper proposes the AdaBoost-ANN algorithm. The algorithm uses artificial neural network (ANN) to establish a training set of the measured temperature data and the temperature field of the concrete arch dam obtained by the three-dimensional finite element model; these trained artificial neural networks are used as weak classifiers of the AdaBoost algorithm. Then, the AdaBoost-ANN algorithm is used to establish the mapping relationship between the measured temperature data and the temperature field, and the online reconstruction of the temperature field of the concrete arch dam is realized. The case study shows that the temperature field of the concrete arch dam can be accurately established by AdaBoost-ANN algorithm based on limited temperature observation data. The algorithm is more time-saving and labor-saving than the finite element method and is convenient for online reconstruction of the temperature field and assessment of the safety status of the concrete arch dam.
Highlights
Academic Editor: Nhon Nguyen anh Temperature is one of the factors affecting the safety operation of concrete arch dams
Temperature has an important impact on the establishment of the safety index and safety operation of concrete arch dams
And accurately obtaining the temperature field of the concrete arch dam has important engineering significance. e reconstruction of the overall temperature field of the concrete arch dam based on the measured temperature values of several typical sections mainly includes the temperature extrapolation method and the finite element method. e temperature extrapolation method is easy to calculate, but the result is very different from the actual temperature field of the concrete arch dam. e result obtained by the finite element method is closer to the actual temperature field of the concrete arch dam, but each calculation needs to redetermine the boundary conditions, which is time-consuming and laborious
Summary
To obtain the unique solution of the above heat transfer equations, the initial temperature distribution of the concrete arch dam must be defined, and the thermal boundary conditions of the concrete air, concrete water, and concrete foundation interfaces must be specified. At the observation time t0, the specific calculation steps of the temperature field are as follows: Establish the finite element model of the arch dam temperature field, and set as many unit nodes of the model as possible at the actual temperature measuring points. E initial temperature field at time t0–n of the arch dam can be approximately obtained from the temperature values of the measuring points by linear interpolation. According to the above process, the temperature field of the dam corresponding to the observation time can be obtained, and FEM can be used to accurately establish the temperature field of the arch dam [34]. Is process is very cumbersome and time consuming, so a simpler method to establish the temperature field is needed
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