Decision Method of Pouring Schemes for High-Arch Dam Considering Moderate Indicators
Source abstract
Abstract
The optimal selection of high-arch dam construction schemes involves multi-dimensional indicators. In addition to clear one-way optimization indicators such as construction period and cost, there are also indicators with ambiguous optimization directions. Such indicators are influenced by factors like actual engineering conditions and experience from similar projects, and they have an optimal interval for their value range, which is referred to as “moderate indicators”. However, in most comprehensive evaluation models, the standardization of such indicators is plagued by overly simplistic processing methods and excessive subjective factors. To address the interval optimality of moderate indicators, this paper proposes the concepts of “optimal interval” and “tolerance interval”. By analyzing the distribution characteristics of indicators and combining them with the characteristics of construction simulation calculations, the quartile method and comprehensive weighting method are adopted to determine the subjective and objective interval ranges. Based on the concept of relative membership degree, these intervals are processed as standardized results and incorporated into the comprehensive evaluation system. Accordingly, a multi-attribute decision-making model for high arch dams considering moderate indicators is proposed. This method was verified in the decision-making process for the construction scheme of the TR Double Curved Arch Dam project. Compared with the traditional Ranking Alternatives by Distance from Average Solution (RADAR) method that adopts the vector normalization method, this model enhances the anti-interference ability against the volatility of moderate indicators, improves the accuracy of scheme optimization, and obtains the priority ranking of each alternative scheme.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Dam Engineering and Safety · Research studies in Vietnam · Hydraulic flow and structures
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
POWERCHINA Chengdu Engineering Co., Ltd., Chengdu 610072, China
School of Water Resources and Hydropower Engineering, Wuhan University, Wuhan 430072, China
References (32)
Show source-provided references
1. Uncertainty-Aware Hybrid Surrogate Model-Accelerated Constrained Multi-Objective Design of Arch Dam10.1016/j.aei.2025.103552 ↗
2. Study on Multi-Scheme Analysis and Evaluation Method for Concrete Sequence Placement of High Arch Dam10.1007/s11431-011-4615-6 ↗
3. Pareto-Guided Active Learning for Accelerating Surrogate-Assisted Multi-Objective Optimization of Arch Dam Shape10.1016/j.engstruct.2024.119541 ↗
4. New Development of Dam Construction Technology in China
5. Liu, D., Hu, Z., and Guo, W. (2018). Multi-Attribute Group-Decision on a Construction Diversion Scheme for Hydropower Projects Based on Perception Utility. Energies, 11.10.3390/en11113027 ↗
6. Huang, J. (2024, January 14–16). Research on Optimization of Water Conservancy Project Construction Schedule Control Based on Multi-Objective Genetic Algorithm. Proceedings of the 2024 International Conference on Power, Electrical Engineering, Electronics and Control, PEEEC, Athens, Greece.10.1109/PEEEC63877.2024.00199 ↗
7. Zhang, C., Wang, H., Cao, J., Liu, Q., Liu, F., and Wang, M. (2023). Type Selection between Arch Dam and Gravity Dam Based on Construction Simulation: A Case Study. Water, 15.10.3390/w15081482 ↗
8. Lan, T., Xing, G., Qin, G., Li, Z., and Gao, R. (2023). Comparison and Selection of Multiple Construction Schemes for the Large-Span and Heavy-Load Transfer Truss. Buildings, 13.10.3390/buildings13123056 ↗
9. Cao, Z., Lei, G., Qiu, L., Wang, W., Yin, J., and Wang, H. (2025). Evaluation of Economic and Ecological Benefits of Reservoir Ecological Releases Based on Reservoir Optimization Operation. Appl. Sci., 15.10.3390/app15179441 ↗
10. Application of Gray-Fuzzy Comprehensive Evaluation in Duration Risk Forecast of Hydropower Project
11. Ma, C., Yang, J., and Cheng, L. (2025). New Methods and Technologies of Hydraulic Engineering Safety Assessment. Water, 17.10.3390/w17121773 ↗
12. Quantitative and Comprehensive Evaluation of Qualitative Indices in Dam Safety Monitoring
13. Optimizing the Dam Site Selection Problem Considering Sustainability Indicators and Uncertainty: An Integrated Decision-Making Approach10.1016/j.jclepro.2023.139240 ↗
14. Decision-Making Framework, Enhanced by Mutual Inspection for First-Stage Dam Construction Diversion Scheme Selection10.1007/s11269-019-02461-y ↗
15. Environmental Risk Assessment of Dams in Construction Phase Using a Multi-Criteria Decision-Making (MCDM) Method10.1080/10807039.2013.821905 ↗
16. A Systematic Review of Application of Multi-Criteria Decision Analysis for Aging-Dam Management10.1016/j.jclepro.2017.01.092 ↗
17. Zhou, T., Niu, X., Ma, N., Sun, F., and Gong, S. (2025). Deep Learning- and Multi-Point Analysis-Based Systematic Deformation Warning for Arch Dams. Infrastructures, 10.10.3390/infrastructures10070170 ↗
18. Research on Supplier Selection Model Based on an Improved TOPSIS
19. Vulnerability of Rural Communities to Change in an Ecosystem Service Provision: Surface Water Supply. A Case Study in the Northern Andes, Colombia10.1016/j.landusepol.2020.104737 ↗
20. Uniform-Geometric Distribution10.1080/00949655.2015.1081907 ↗
21. A Multimodal Skew Laplace Distribution
22. Calculation procedures—Simulation, optimization and design calculations10.14314/polimery.1999.390 ↗
23. The Hydroelastic Simulation and Calculation of High Arch Dam Vibration Induced by Flood Discharge Flow
24. Chen, J. (2010, January 28–31). Multi-attribute Decision Making Based on Three-parameter Vague Sets. Proceedings of the 29th Chinese Control Conference, Beijing, China.
25. Imprecise Shannon’s Entropy and Multi Attribute Decision Making10.3390/e12010053 ↗
26. Expanding the Range of Unified Methods
27. Prediction Performance of Support Vector Machines on Input Vector Normalization Methods10.1080/00207160410001684325 ↗
28. A New Method of the Relative Membership Degree Calculation in Variable Fuzzy Sets for Water Quality Assessment10.1016/j.ecolind.2018.11.032 ↗
29. Why Triangular Membership Functions10.1016/0165-0114(94)90003-5 ↗
30. A Measurement-Theoretic Axiomatization of Trapezoidal Membership Functions10.1109/TFUZZ.2006.880000 ↗
31. A New Training Algorithm for HHFNN Based on Gaussian Membership Function for Approximation10.1016/j.neucom.2008.08.013 ↗
32. Compromise Solution by MCDM Methods: A Comparative Analysis of VIKOR and TOPSIS10.1016/S0377-2217(03)00020-1 ↗