Joint grouting simulation is an important aspect of arch dam construction simulation. However, the current construction simulation model simplifies the temperature factors in joint grouting simulation, which leads to the difference between the simulation results and the actual construction schedule. Furthermore, the majority of existing temperature prediction research is based on deterministic point predictions, which cannot quantify the uncertainties of the prediction values. Thus, this study presents a real-time construction simulation method coupling a concrete temperature field interval prediction model to address these problems. First, a real-time construction simulation model is established. Secondly, this paper proposes a concrete temperature interval prediction method based on the hybrid-kernel relevance vector machine (HK-RVM) with the improved grasshopper optimization algorithm (IGOA). The hybrid-kernel method is adopted to ensure the prediction accuracy and generalization ability of the model. Additionally, the improved grasshopper optimization algorithm (IGOA), which utilizes the tent chaotic map and cosine adaptive method to improve the algorithm performance, is developed for the parameter optimization of HK-RVM. Thirdly, concept drift detection based on variable window technology is proposed to update the prediction model. Finally, an arch dam project in China is used as a case study, by which the superiority and applicability of the proposed method are proven.

目的 针对当前高拱坝施工进度仿真研究中施工仿真参 数难以实现对现场施工状态的有效跟踪的现状, 研究施工仿真参数实时更新方法,以提高施工仿 真参数及仿真计算结果的准确度。

Dam foundation seepage is a major concern for the stability of a hydropower project in southwest China (referred to here as Project X). The complicated geological structure, multiple grouting curtains, and adjustable drainage system of Project X significantly increase the complexity of the dam foundation seepage field. In this work, a three-dimensional (3D) air-water two-phase seepage mathematical model, coupled with the volume of fluid (VOF) method, is developed based on the computational fluid dynamics (CFD) approach. The 3D unified model of Project X, including strata, unfavorable geological bodies, grouting curtains, adjustable drainage system, consolidation grouting, and gravity dam body, is later established in an integrated manner for the entire dam area. Furthermore, an extended “fissure to represent line of holes” method is proposed to model the drainage holes with adjustable opening degrees. Subsequently, the distributions of the water head, hydraulic gradient, and uplift pressure, both before and after adjusting the drainage system, are analyzed. The overall behavior of the seepage control system and the influence of the opening degrees of the drainage holes on the seepage field are comprehensively discussed, and an optimized operating state is recommended for the drainage system. The discussion reveals that the maximum hydraulic gradient at the grouting curtains decreases and the average uplift pressure on the dam foundation surface increases with decreasing water discharge of the drainage system. Comparisons with in situ monitoring data demonstrate the reliability of the proposed methodology.