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بررسی احتمالاتی وقوع کاویتاسیون روی سرریز نیلوفری با کمک مدل سازی عددی و روش سطح پاسخ | ||
| مدل سازی در مهندسی | ||
| دوره 22، شماره 78، آبان 1403، صفحه 201-216 اصل مقاله (1.42 M) | ||
| نوع مقاله: مقاله پژوهشی | ||
| شناسه دیجیتال (DOI): 10.22075/jme.2024.31043.2480 | ||
| نویسندگان | ||
| مسعود غفاری1؛ مهدی اژدری مقدم* 2؛ غلامرضا عزیزیان3؛ محسن راشکی4 | ||
| 1دانشجوی دکتری، گروه مهندسی عمران، دانشگاه سیستان و بلوچستان، زاهدان، ایران. | ||
| 2استاد، گروه مهندسی عمران، دانشگاه سیستان و بلوچستان، زاهدان، ایران. | ||
| 3دانشیار، گروه مهندسی عمران، دانشگاه سیستان و بلوچستان، زاهدان، ایران. | ||
| 4استادیار، گروه مهندسی معماری، دانشگاه سیستان و بلوچستان، زاهدان، ایران. | ||
| تاریخ دریافت: 03 تیر 1402، تاریخ بازنگری: 02 اسفند 1402، تاریخ پذیرش: 14 اسفند 1402 | ||
| چکیده | ||
| تخمین آسیب کاویتاسیون بر روی سرریزهای نیلوفری به دلیل عدم قطعیتهای مؤثر بر ایجاد خلأزایی مانند سرعت بالا و فشار منفی جریان دارای اهمیت زیادی میباشد. در این تحقیق ارزیابی قابلیت اطمینان آسیب کاویتاسیون بر روی نقاط مختلف سرریز نیلوفری سد هراز در کشور ایران با در نظر گرفتن عدم قطعیتهای مدل بررسی شد. با توجه به عدم وجود تابع حالت حدی صریح در تعیین قابلیت اطمینان کاویتاسیون، ابتدا با استفاده از روش لاتین هایپر کیوب ، 35 شبیهسازی با کمک آزمون شاپیرو-ویلک بر مبنای مشخصات آماری و توزیع احتمالاتی عدم قطعیتها با در نظرگرفتن همبستگی بین آنها، تولید میشود و با انجام آنالیزهای مدل عددی ANSYS Fluent-3D پاسخ کاویتاسیون برای نمونههای تولیدی بدست میآید و تابع حالت حدی ضمنی برای 4 نقطه بحرانی بر روی سرریز نیلوفری ایجاد میشود. برای تولید تابع حالت حدی صریح از روش سطح پاسخ استفاده شد و سپس با به کارگیری روشهای مرتبه اول، مرتبه دوم قابلیت اطمینان و روش مونت کارلو، قابلیت اطمینان آسیب کاویتاسیون تخمین زده میشود. نتایج نشان میدهند که با استفاده از روش سطح پاسخ میتوان احتمال خرابی کاویتاسیون بر روی سرریز نیلوفری را با خطای ناچیز و دقت قابل قبول تخمین زد. | ||
| کلیدواژهها | ||
| سرریز نیلوفری؛ قابلیت اطمینان کاویتاسیون؛ مدل سازی عددی؛ تابع شرایط حدی ضمنی و صریح؛ روش سطح پاسخ | ||
| عنوان مقاله [English] | ||
| Probabilistic Investigation of Cavitation Occurrence on Morning-Glory Spillways Using Numerical Modeling and Response Surface Method | ||
| نویسندگان [English] | ||
| Masoud Ghaffari1؛ Mehdi Azhdary Moghaddam2؛ Gholamreza Azizian3؛ Mohsen Rashki4 | ||
| 1PhD Student, Civil Engineering Department, University of Sistan and Baluchestan, Zahedan, Iran | ||
| 2Professor, Civil Engineering Department, University of Sistan and Baluchestan, Zahedan, Iran | ||
| 3Associate Professor, Civil Engineering Department, University of Sistan and Baluchestan, Zahedan, Iran | ||
| 4Assistant Professor, Architectural Engineering Department, University of Sistan and Baluchestan, Zahedan, Iran | ||
| چکیده [English] | ||
| Estimating the cavitation damage to morning-glory spillways is quite important due to the uncertainties that affect cavitation (e.g., high velocity, negative flow pressure, etc.). This paper aims to develop the model uncertainties to address the reliability assessment of the cavitation damage to different points of the Haraz Dam morning-glory spillway in Iran. As an explicit limit state function was lacking to determine the cavitation reliability, 35 samples were produced based on the statistical features, probability distribution and inter-correlation of the uncertainties. Using the Latin Hypercube Simulation (LHS) method and Shapiro-Wilk Test, the cavitation response was found for them through the ANSYS Fluent-3D numerical model analyses, and the implicit LSF was created for 4 critical points on the morning-glory spillway. To do so, the Response Surface Method (RSM) was utilized to generate the explicit LSF and the reliability of the cavitation damage was estimated using the Monte Carlo and first and second order reliability methods. The obtained results show that P4, with pf > 80%, is the most critical overflow point whereas the lowest RMSE is between SORM and MCS method. | ||
| کلیدواژهها [English] | ||
| Morning-glory spillway, Cavitation reliability, Numerical modeling, Implicit/explicit limit state function, Response surface method | ||
| مراجع | ||
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[1] A.H. Ang, and W.H. Tang. Probability Concepts in Engineering: Emphasis on Applications to Civil and Environmental Engineering. 2nd ed. New York: John Wiley & Sons, 2007. [2] I. Ansys. ANSYS Fluent User’s Guide, Release 19.0. Canonsburg, PA: Ansys Inc., 2018. [3] M.A. Bayari, N. Shabakhty, and E. Izadi Zaman Abadi. "Estimating Collapse Risk and Reliability of Concrete Moment Frame Structure Using Response Surface Method and Hybrid of Artificial Neural Network with Particle Swarm Optimization Algorithm." Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability 235, no. 6 (2021): 1072–89. [4] R. Boes, and W. Hager. "Hydraulic Design of Stepped Spillways." Journal of Hydraulic Engineering 129, no. 9 (2003): 671–79. [5] H. Chanson. "Hydraulics of Aerated Flows: Qui Pro Quo?" Journal of Hydraulic Research 51, no. 3 (2013): 223–43. [6] J. Deng, D. Gu, X. Li, and Z.Q. Yue. "Structural Reliability Analysis for Implicit Performance Functions Using Artificial Neural Network." Structural Safety 1 (2005): 25–48. [7] H.T. Falvey. Cavitation in Chutes and Spillways. Denver, CO: U.S. Department of the Interior, Bureau of Reclamation, 1990. [8] C. Fattor, J. Bacchiega, C. Zhang, and H. Tang. "Design Conditions for Morning-Glory Spillways: Application to Potrerillos Dam Spillway." In Advances in Water Resources and Hydraulic Engineering, edited by Changkuan Zhang and Hongwu Tang, 2123–28. Berlin: Springer, 2009. [9] B. Fiessler, H.J. Neumann, and R. Rackwitz. "Quadratic Limit States in Structural Reliability." Journal of the Engineering Mechanics Division 105, no. 4 (1979): 661–76. [10] A. Foroudi, and R. Barati. "Experimental Study of Cavitation Index in an Ogee Spillway by Considering Convergence Angle of Sidewalls." Water Supply 22, no. 6 (2022): 5729–38. [11] G.S. Ghahfarokhi, P.H.A.J.M. Van Gelder, and J.K. Vrijling. "Probabilistic Description of Scour Hole Downstream of Flip Bucket Spillway of Large Dams." In Proceedings of the ANCOLD International Conference on Dams and Water for the Future, Gold Coast, Australia, October 22–25, 2008. [12] E. González-Estrada, J. Villaseñor, and R. Acosta-Pech. "Shapiro-Wilk Test for Multivariate Skew-Normality." Computational Statistics 37, no. 4 (2022): 1985–2001. [13] A. Haldar, ed. "Recent developments in reliability-based civil engineering." (2006). [14] M.M. Hameed, M.K. AlOmar, W.J. Baniya, and M.A. AlSaadi. "Prediction of High-Strength Concrete: High-Order Response Surface Methodology Modeling Approach." Engineering with Computers 38, Suppl 2 (2021): 1655–68. [15] Z. Han, C. JianKang, K.Q. Jian, P. Liang, and H. Huibao. "A Fast Prediction Method for Stability Safety and Reliability of Reservoir Bank Rock Slopes Based on Deformation Monitoring Data." Frontiers in Earth Science 10 (2022). [16] A. Hasanalipour Shahrabadi, and M. Azhdary Moghaddam. "Probabilistic Investigation of Cavitation Occurrence in Chute Spillway Based on the Results of Flow-3D Numerical Modeling." Iranian Water Researches Journal 15, no. 1 (2021): 1–12. [17] B. Keshtegar, M.F. Allawi, H.A. Afan, and A. El-Shafie. "Optimized river stream-flow forecasting model utilizing high-order response surface method." Water Resources Management 30 (2016): 3899-3914. [18] E. Khojastehfar, S.B. Beheshti-Aval, M.R. Zolfaghari, and K. Nasrollahzade. "Collapse Fragility Curve Development Using Monte Carlo Simulation and Artificial Neural Network." Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability 228, no. 3 (2014): 301–12. [19] Ö. Kocaer, and A. Yarar. "Experimental and Numerical Investigation of Flow Over Ogee Spillway." Water Resources Management 34, no. 13 (2020): 3949–65. [20] T. Manogaran, M.R.R. Mohd Arif Zainol, M.K.A. Wahab, M.S. Abdul Aziz, and N.M. Zahari. "Assessment of Flow Characteristics Along the Hydraulic Physical Model of a Dam Spillway." Journal of Civil Engineering, Science and Technology 13, no. 1 (2022): 69–79. [21] J. Matos, C.K. Novakoski, R. Ferla, M.G. Marques, M. Dai Prá, A.V.B. Canellas, and E.D. Teixeira. "Extreme Pressures and Risk of Cavitation in Steeply Sloping Stepped Spillways of Large Dams." Water 14, no. 3 (2022): 306. [22] R.E. Melchers, and A. Beck. Structural Reliability Analysis and Prediction. 3rd ed. Hoboken, NJ: John Wiley & Sons, 2018. [23] N. Metropolis, and S. Ulam. "The Monte Carlo Method." Journal of the American Statistical Association 44, no. 247 (1949): 335–41. [24] S. Mozaffari, E. Amini, H. Mehdipour, and M. Neshat. "Flow Discharge Prediction Study Using a CFD-Based Numerical Model and Gene Expression Programming." Water 14, no. 4 (2022): 650. [25] R.H. Myers, D.C. Montgomery, and C.M. Anderson-Cook. Response Surface Methodology: Process and Product Optimization Using Designed Experiments. 5th ed. Hoboken, NJ: John Wiley & Sons, 2016. [26] S.A.A. Salehi Neyshabouri, and M. Ehsani. "Numerical Investigation of the Effect of Changes in the Height of the Vertical Shaft on the Formation of Cavitation in the Elbow of Morning Glory Spillway." Iranian Dam and Hydroelectric Powerplant 2, no. 5 (2015): 13–23. [27] Y.K. Tung, and L.W. Mays. "Risk Analysis for Hydraulic Design." Journal of the Hydraulics Division 106, no. 5 (1980): 893–913. [28] B. Uğurhan, J.W. Baker, and G.G. Deierlein. "Uncertainty Estimation in Seismic Collapse Assessment of Modern Reinforced Concrete Moment Frame Buildings." In Proceedings of the 10th National Conference in Earthquake Engineering, Anchorage, Alaska, July 21–25, 2014. [29] W. Wan, B. Liu, and A. Raza. "Numerical Prediction and Risk Analysis of Hydraulic Cavitation Damage in a High-Speed-Flow Spillway." Shock and Vibration (2018). [30] M. Yang, Q.X. Wu, and J. Lu. "Reliability Analysis of Arch Dam Considering Temperature Change Field." Applied Mechanics and Materials 226–28 (2012): 1332–37. [31] B.C. Yen, and Y.K. Tung, eds. Reliability and Uncertainty Analyses in Hydraulic Design. Littleton, CO: Water Resources Publications, 1993. [32] B.C. Yen, S.T. Cheng, and C.S. Melching, eds. First-Order Reliability Analysis: Stochastic and Risk Analysis in Hydraulic Engineering. Littleton, CO: Water Resources Publications, 1986. [33] C. Zhang, and H. Tang, eds. Advances in Water Resources and Hydraulic Engineering. Berlin: Springer, 2009. [34] M. Zhao, W. Zhang, and Y. Liu. "Monte Carlo Simulation in Hydraulic Engineering Risk Assessment." Water Resources Management 22, no. 2 (2008): 157–78. https://doi.org/10.1007/s11269-007-9157-1. | ||
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