4.7 Article

Multipoint hybrid model for RCC arch dam displacement health monitoring considering construction interface and its seepage

期刊

APPLIED MATHEMATICAL MODELLING
卷 110, 期 -, 页码 674-696

出版社

ELSEVIER SCIENCE INC
DOI: 10.1016/j.apm.2022.06.023

关键词

RCC arch dam; Displacement prediction; Health monitoring; Interface seepage; Multipoint hybrid model

资金

  1. National Natural Science Foundation of China [51869011, 51879126, 52079061, 52169025]
  2. Jiangxi Province Funds for Distinguished Young Scientists [2019ACB21022]
  3. Scientific Re-search Project of Jiangxi Provincial Water Resources Department [202224ZDKT21]

向作者/读者索取更多资源

Most roller compacted concrete (RCC) dams face the issue of poor cementation quality at the construction interface. To tackle the limitations of conventional models, a multipoint hybrid model considering the construction interface and its seepage is proposed for monitoring the displacement health of RCC arch dams. This model, called HIST-M, improves spatial interpretation and prediction capabilities by introducing spatial coordinates based on the hydrostatic-seasonal-time (HST) model. Coupled with the analysis model of seepage field and stress field using the finite element method, the HIST-M model takes into account the influence of construction interface and seepage. The proposed model shows remarkable improvement in long-term prediction abilities and prediction precision compared to commonly used models.
Most roller compacted concrete (RCC) dams have the problem of cementation quality of construction interface. Considering that the conventional hydrostatic-seasonal-time (HST) model can only reflect the local displacement of dams and cannot reasonably interpret the characteristics of construction interface and its seepage, a multipoint hybrid model for RCC arch dam displacement health monitoring considering construction interface and its seepage (HIST-M) is proposed. To further improve the spatial interpretation and prediction capabilities, a multipoint HST model is constructed by introducing spatial coordinates based on the HST model. Meanwhile, by introducing the coupling analysis model of seepage field and stress field and combined with the finite element method, the influence of construction interface and seepage is further considered. Hence, the HIST-M model was established by using multiple linear regression. Engineering examples show that the seepage field and the displacement field of the dam change due to the interface and its seepage, and the proposed model can analyze and predict the displacements of multiple points simultaneously. In addition, compared with that of the commonly-used models, the longterm prediction ability and the prediction precision of the proposed model are remarkably improved. The conclusion can be drawn that the proposed model is feasible and effective for displacement health monitoring of RCC arch dams.(c) 2022 Elsevier Inc. All rights reserved.

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