پیوندهای مفید
آمار
| تعداد نشریات | 9 |
| تعداد شمارهها | 448 |
| تعداد مقالات | 5,740 |
| تعداد مشاهده مقاله | 8,097,187 |
| تعداد دریافت فایل اصل مقاله | 6,587,924 |
شبیه سازی رفتار سد کبودوال در زمان ساخت با مدلسازی عددی سه بعدی | ||
| نشریه مهندسی عمران امیرکبیر | ||
| مقاله 20، دوره 53، شماره 9، آذر 1400، صفحه 3967-3984 اصل مقاله (1.92 M) | ||
| نوع مقاله: مقاله پژوهشی | ||
| شناسه دیجیتال (DOI): 10.22060/ceej.2020.18172.6790 | ||
| نویسندگان | ||
| فرزین سلماسی* ؛ حسین حکیمی خانسر | ||
| گروه مهندسی آب، دانشکده کشاورزی، دانشگاه تبریز، تبریز، ایران | ||
| چکیده | ||
| پیشبینی فشار آب حفرهای، نشست، تنش خاک و ضریب فشار آب حفرهای ( ) در بدنه سدهای خاکی در زمان ساخت یکی از اقدامات ضروری در مدیریت پایداری سدهای خاکی است. بنابراین تخمین آنها با روشهای دقیق بسیار مهم است. چون رفتار سد خاکی غیرخطی است، بنابراین باید از روش المان محدود و مدلهای رفتاری مناسب استفاده نمود. در تحقیق حاضر که به صورت مطالعه موردی است، شبیهسازی عددی به صورت سه بعدی با استفاده از نرمافزار پلاکسیس در سد کبودوال استان گلستان انجام گرفت و مقادیر حاصل از شبیهسازی عددی با تحلیل برگشتی با مقادیر نظیر دادههای ابزار دقیق سد مقایسه شد و پارامترهای واقعی مصالح به کار گرفته شده در بدنه سد، با آنالیز برگشتی به دست آمد. نتایج نشان داد که مدل HS با شاخصهای آماری ضریب تبیین ( R2)، میانگین مربع خطاها (RMSE) و نیز میانگین هندسی نسبت خطا (GMER ) در مقایسه با مدل رفتاری MC در بدنه سد دقت بیشتری دارد. نتایج مدل عددی واسنجی شده در پایان ساخت سد کبودوال، نشان داد که بیشینه افزایش فشار آب حفرهای، تنش، نشست و جابجایی افقی در بخش مرکزی اتفاق افتاده و مقدار آن در محور و بخش میانی سد بیشتر از طرفین آن است. قسمت میانی و نزدیک به محور سد تغییرات مشابهی با روند بارگذاری بدنه سد دارد؛ در حالی که با دور شدن از محور سد به دلیل انتقال تنشها به صورت مایل (چرخش المان تنش) تأثیرپذیری کمتری از روند خاکریزی دارند، همچنین در بخش مرکزی تأثیرات ناشی از زهکشی مصالح فیلتر و زهکش حداقل است. | ||
| کلیدواژهها | ||
| سد خاکی کبودوال؛ پلاکسیس؛ المان محدود؛ تحلیل برگشتی؛ مدل رفتاری خاک سخت شونده | ||
| موضوعات | ||
| سازه های هیدرولیکی | ||
| عنوان مقاله [English] | ||
| Simulation of behavior of the Kabudval Dam during construction with 3D numerical modeling | ||
| نویسندگان [English] | ||
| Fazin Salmasi؛ Hosein Hakimi Khansar | ||
| Department of Water Engineering, Faculty of Agriculture, University of Tabriz, Tabriz, Iran | ||
| چکیده [English] | ||
| Accurate prediction of pore water pressure, settlement, soil stress and pore water pressure coefficient (Ru) in the body of earth dams during construction is one of the necessary measures in the management of earth dam stability. Because the behavior of the earth dams is nonlinear, it is necessary to use finite element methods and suitable soil behavior models. In the present study, which is a case study, a three-dimensional numerical simulation was performed using the Plaxis software for the Kabudval Dam located in Golestan province, Iran. The values obtained from the numerical simulation were compared with the corresponding measured values using the dam instruments. Calibration was carried out using the back analysis method (BAM) and some dam geotechnical parameters were corrected based on BAM. The results showed that the hardening soil (HS) model with the statistical indicators of R2, RMSE and GMER is more accurate compared with the Mohr-Coulomb (MC) model. The results of the numerical model were calibrated at the end of construction for Kabudval Dam and showed that the maximum increase in pore water pressure, stress, settlement and horizontal displacement occurs in the central part and its value in the axis and middle part of the dam is more than its sides. The middle part and close to the dam axis have similar changes with the filling process of the dam body, while with moving away from the dam axis due to the transfer of stresses to the sides, they have less impact from the dam filling process. In addition, in the central part, the effects of filter and drainage are low. | ||
| کلیدواژهها [English] | ||
| Kabudval Dam, Plaxis, Finite element method, Back analysis, Hardening soil model | ||
| مراجع | ||
|
[1] V. Nourani, E. Sharghi, MH. Aminfar, Integrated ANN model for earthfill dams seepage analysis. Sattarkhan dam in Iran, Artificial Intelligence Research, 1(2) (2012) 22-37. (In Persian)
[2] M. Vafaeian, Earth dams & rockfill dams, Isfahan, Arkan Danesh, (2015) 464p.
[3] H. Hakimi khansar, S. Golmai, M. Sheydaiyan, Investigating the behavior of Kaboudal earth dam along the finite element method with PLAXIS software and comparison with actual values obtained from instrumentation data, Journal of water science engineering, 4(9) (2014) 33-50. (In Persian)
[4] P. Beyranvand, H. Bakhshandeh, M. Rahimi, M. Bahadori, Numerical analysis of seepage from Sardasht dam stone foundation, First National Conference on Geotechnical Engineering, Ardabil, Iran, 2014, pp. 500-524.
[5] USBR, Safety Evaluation of Existing Dams (SEED), Manual for the Safety Evaluation of Embankment and Concrete Dams, Colorad. U.S. Department of the Interior, Denver, o, (1983).
[6] J. Bolori Bezar, M. Mobinizad, Evaluation of the behavior of Nahreyn embankment dam during construction and comparing instrumentation data with the results of a finite element code, Iranian Water Research Journal, 4(6) (2010) 1-10. (In Persian)
[7] V. B. Vladimiror, Yu. K. Zaretskii, & V. B. Orekhov, A Mathematical Model For Monitoring The Rock-Earthen Dam of The HOABINH Hydraulic Power Systems, Power Technology and Engineering, 37 (2003) 161-166.
[8] G.Tayfure, D. Swiatek, A. Wita, VP. Singh, Case study. Finite element method and artificial neural network models for flow through Jeziorsko earthfill dam in Poland, Journal of Hydraulic Engineering, 131(6) (2005) 431–440.
[9] R. Tomas, M. Cano, J. Garcia-Barba, F. Vicente, G. Herrera, J. M. Lopez-Sanchez, & J. J.Mallorqu, Monitoring an earthfill dam using differential SAR interferometry, Journal of Engineering Geology, 157 (2013) 21-32.
[10] G.G. Yeh, T. H. Kim, J. H. Kim, & H. Y. Kim, Rehabilitation of the Core Zone of an Earth-Fill Dam, Journal of Performance of Constructed Facilities, 127 (2013) 485-495.
[11] K. Yong-Seong, K. Byung-Tak, Prediction of relative crest settlement of concrete-faced rockfill dams analyzed using an artificial neural network model, Journal of Computers and Geotechnics, (20013) 313-322.
[12] A. Beheshti, A. amanbedast, & A. Akbari, Seepage Analysis of Rock-Fill Dam Subjected to Water Level Fluctuation.A case study on Gotvand-Olya Dam, Journal of Energy & Environment, 4(1) (2013) 155- 160.(in Persian)
[13] K. M. Emre, A. Bayraktar, & H. B. Basaga. Nonlinear finite element reliability analysis of Concrete-Faced Rockfill (CFR) dams under static effects, Journal of Applied Mathematical Modelling, 36(2) (2012) 5229- 5248.
[14] M. Alba, L. Fregonese, F. Prandi, M. Scaioni, & P. Valgoi, Structural monitoring of a large dam by terrestrial LASER scanning, in. Proceedings of the ISPRS Commission V Symposium ‘Image Engineering and Vision Metrology, Dresden, Germany. 2006, pp. 25–27.
[15] F. Salmasi, H.K. Hakimi Khansar, B. Norani, Investigation of the Structure of the Dam Body during Construction and its Comparison with the Analytical Results Using PLAXIS Software. JWSS, 22(4) (2019) 155-171. (In Persian)
[16] S. Ghareh, R. Nowroozzadeh. Back Analysis of Tabarakabad Embankment Dam Using Monitoring and Numerical Model Results, Journal of Civil and Environmental Engineering, 48(4) (2018) 51-62. (In Persian)
[17] A. Mohebatzadeh, M. Mashal, N. Hedayat, seepage analysis in dams Soil with clay core using Seep / W software. Sixth Congress National Civil Engineering, Semnan, Iran, 2011, pp 510-524. (In Persian)
[18] SH. Shsms, A. Haghayegh, Numerical analysis of changes in stress and water pressure in a soil dam with impermeable surface and its comparison with the results of the instrumentation of the Chitgar earth dam. In. 3rd International Conference on Applied Research in Civil Engineering, Architecture and Urban Management. Urban Management. 2016. (In Persian)
[19] H. Asadian, A. Rahimi, M. Ghafouri, M. Bashir Gonbady. Behavior of the friendship barrier to the end of construction with the help of instrumentation data and numerical analysis, Journal of Earth Sciences, 25(98) (2016) 213-222. (In Persian)
[20] L. Pagano, A. Desidri, F. Vinale, Interpreting settlement profiles of earth dams, Journal of Geotechnical and Geoenvironmental, 124(10) (1998) 923-932. [21] Regional Water Company of Golestan, Reporting the Behavior of Kabudwal Dam Golestan. Golestan. Kabudwal Dam Behavior Report, 2013.pp.100-233.
[22] M. Karakus, R.J. Fowell, Back analysis for tunnelling induced ground movements and stress redistribution, Tunnelling and Underground Space Technology, 20(1) (2005) 214-224.
[23] Y.S. Jeon, H.S. Yang. Development of a back analysis algorithm using FLAC, Int J of Rock Mech. & Mining Sci, 41(3) (2004) 232-245.
[24] S. Sakourai. (1993). Back analysis in rock engineering. In Porc. London. Pergamon Press. 29
[25] Y. Say. H.S. Jeon, Development of a back analysis algorithm using FLAC, Int J of Rock Mech. & Mining Sci, 41(3) (2004) 235-245.
[26] H. Hakimi khansar, S.Golmai, M. Sheydaiyan, Static and semi-static stability analysis in dam body using static software Geo-Studio and Plaxis (Case Study of Kaboodvall Dam), Journal of water science engineering, 5(11) (2015) 77-92. (In Persian)
[27] R.B.J. Brinkgreve, and P.A. Vermeer, Plaxis 2D, general information- reference & scientific manual, Version 1. A. A. Balkema.
[28] S. Karimi, J. Shiri, A.Nazemi, Estimation of daily evapotranspiration of reference plant using artificial intelligence systems and empirical equations, Journal of Water and Soil Science, 23(2) (2013) 139-158. (In Persian)
[29] J. M. Duncan, C M. Chang. Nonlinear analysis of stress and strain in soils. Journal of Soil Mechanics and Foundations Division, ASCE, 96(SM5) (1970) 1629-1653.
[30] M.A. Zomoredian, H. Chochi, Numerical analysis of soil-gravel dam behavior during construction and first dewatering (Case study. Masjed Soleiman Dam). JWSS, 16(62) (2013) 229-242. (In Persian)
[31] R. Fell, P. MacGregor, and D. Stapledon, Geotechnical engineering of embankment dams. Balkema A. A. Publisher, Netherlands, (1992).
[32] G. Tayfu, G. Swiate, D. Wita, and V. Singh. Case Study. Finite Element Method and Artificial Neural Network Models for Flow through Jeziorsko Earth fill Dam in Poland, Journal of Hydraulic Engineering, 131(3) (2005) 431-440.
[33] M. Nouri, and F. Salmasi, Predicting Seepage of Earth Dams using Artificial Intelligence Techniques, Irrigation Sciences and Engineering (JISE), 42(1) (2017) 83-97. (In Persian)
[34] F. AmiriMijan, H. Shirani, I. Esfandiarpour, A. Besalatpour, and H. ShekoftehIdentifying the Determinant Factors Influencing S Index in Calcareous, Journal of Water and Soil Science, 23(3), (2019) 381-394. (In Persian)
[35] A.C. Ugural, and S.K. Fenster. Advanced strength and applied elasticity, London. Edvard Arnold Ltd, (1984). (In Persian) | ||
|
آمار تعداد مشاهده مقاله: 976 تعداد دریافت فایل اصل مقاله: 1,323 |
||