Simulation of an Earth Embankment Dam in Adverse Rainy Weather
Publication: Construction Research Congress 2022
ABSTRACT
Simulating a dam construction is an effective method for planning and resource management at the pre-construction stage especially in an environment with adverse rainfall. A dam body can either be concrete gravity dam or earth fill dam or it may include both. This work focuses on the construction of the embankment that can either be part of a dam or the whole dam. A simulation model is established to predict the construction duration of an embankment dam in a rainy environment at different confidence levels of precipitation given certain available resources. Initially, a rain forecast model was built to predict the expected precipitation for the upcoming years using Easyfit software and rainfall dataset collected from NASA for a specific location for years from 1995 to 2019. The simulation software used is Anylogic where the forecast rain model is inputted to the simulation model to study the impact of the precipitation given different confidence levels. The model result shows a direct relationship between the confidence level and the estimated construction duration.
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REFERENCES
Arup. (2016). Feasibility Study for Foxwood Dam (WP10580). South Africa: Water and Sanitation Republic of South Africa.
DengHua, Z., Ping, Z., and KangXin, W. (2007). Theory and practice of construction simulation for high rockfill dam. Science in China Series E: Technological Sciences, 50, 51–61.
Du, R., Zhong, D., Yu, J., Tong, D., and Wu, B. (2015). Construction Simulation for a Core Rockfill Dam Based on Optimal Construction Stages and Zones: Case Study. American Society of Civil Engineers.
Fayed, R. A., and Ezeldin, A. S. (2017). Simulation Model for Construction of Civil Works for Electrical Substations. Journal of Buildings and Sustainability, 2(1), 12–27.
Khabarov, S. P., Shilkina, M. L., and Vasiliev, N. P. (2016). Precipitaion Forecast based on the Bayesian Network. IOP Conference Series: Earth and Environmental Science. IOP Publishing.
Le, T.-T., Pham, B. T., Ly, H.-B., Shirzadi, A., and Le, L. M. (2019). Development of 48-hour Precipitation Forecasting Model using Nonlinear Autoregressive Neural Network. CIGOS 2019, Innovation for Sustainable Infrastructure, 54, pp. 1191–1196.
Mudd, L., Rosowsky, D., Letchford, C., and Lambardo, F. (2016). Joint Probabilistic Wind–Rainfall Model for Tropical Cyclone Hazard Characterization. Journal of Structural Engineering, 1–17. doi: https://doi.org/10.1061/(ASCE)ST.1943-541X.0001685.
Power Data Access Viewer. (2019). Retrieved from NASA: https://power.larc.nasa.gov/data-access-viewer/.
Process Modeling Library Anylogic. (2021). Retrieved from Anylogic: https://www.anylogic.com/features/libraries/process-modeling-library/.
Stephens, T. (2010). Manual on small earth dams A guide to sitting, design and construction. Italy: FAO Irrigation and Drainange Paper.
Zankoul, E., and Khoury, H. (2014). Simulation of On-Shore Wind Farm Construction Process in Lebanon. The 31st International Symposium on Automation and Robotics in Construction and Mining.
Zankoul, E., Khoury, H., and Awwad, R. (2015). Evaluation of Agent-Based and Discrete-Event Simulation for Modeling Construction Earthmoving Operations. The 32nd International Symposium on Automation and Robotics in Construction and Mining. Finland.
Zhang, J., Zhong, D., Wu, B., Lv, F., and Cui, B. (2018). Earth Dam Construction Simulation Considering Stochastic Rainfall Impact. Computer-Aided Civil and Infrastructure Engineering, 459–480. doi:https://doi.org/10.1111/mice.12337.
Zhang, J., Zhong, D., Zhan, M., Yu, J., and Lv, F. (2019). An Optimization Model for Construction Stage and Zone Plans of Rockfill Dams Based on the Enhanced WhaleOptimization Algorithm. Energies, 1–29. doi:https://doi.org/10.3390/en12030466.
Zhong, D.-H., Hu, W., Wu, B.-P., Li, Z., and Zhang, J. (2017). Dynamic time-cost-quality tradeoff of rockfill dam construction based on real-time monitoring. Journal of Zhejiang University-SCIENCE A, 18(1), 1–19.
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Construction Research Congress 2022
Pages: 1337 - 1346
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Published online: Mar 7, 2022
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