An efficient procedure for optimization design of anti-seepage curtains: a case study
Autor: | Lanhao Zhao, Xu Liqun, Yang Jinmeng, Lei Gan, Zhenzhong Shen |
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Rok vydání: | 2021 |
Předmět: |
Computer simulation
Power station business.industry Computer science 0211 other engineering and technologies Stability (learning theory) Geology 02 engineering and technology High effectiveness 010502 geochemistry & geophysics Geotechnical Engineering and Engineering Geology 01 natural sciences Geological investigation Reliability engineering Distortion Nature Conservation business Hydropower 021101 geological & geomatics engineering 0105 earth and related environmental sciences |
Zdroj: | Bulletin of Engineering Geology and the Environment. 80:2671-2685 |
ISSN: | 1435-9537 1435-9529 |
DOI: | 10.1007/s10064-020-02070-9 |
Popis: | In large-scale hydropower projects, the anti-seepage curtain is an important measure to reduce the leakage of reservoirs and ensure the stability of foundation rocks. In this study, an efficient procedure for the optimization design of an anti-seepage curtain was proposed given the drawback of the time-consuming and low efficiency in optimizing multiple parameters of the anti-seepage curtain. This procedure can dramatically shorten the time for numerical simulation, reduce the workload of planning multiple parameter sets, and effectively avert the probable distortion of optimized results to some extent. This is achieved by identifying and optimizing the parameter that has the greatest impact on the performance of the anti-seepage curtain on the premise of adequate geological investigation and proper qualification of the performance of the anti-seepage curtain. This procedure was applied to the optimization design of the anti-seepage curtain in the upper reservoir of a pumped storage power station. Four different depths were suggested for the anti-seepage curtain according to the optimization results. This procedure can serve as a reference for the optimization design of an anti-seepage curtain with high effectiveness and confidence. |
Databáze: | OpenAIRE |
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