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ارزیابی رفتار دینامیکی خاک های ریزدانه با استفاده از الگوریتم دسته بندی گروهی داده ها | ||
| مهندسی زیر ساخت های حمل و نقل | ||
| مقاله 6، دوره 1، شماره 3، آبان 1394، صفحه 77-92 اصل مقاله (3.37 M) | ||
| شناسه دیجیتال (DOI): 10.22075/jtie.2015.318 | ||
| نویسندگان | ||
| حامد جاودانیان* 1؛ عبدالحسین حداد2؛ یاسر جعفریان3 | ||
| 1استادیار، دانشکده فنی و مهندسی، دانشگاه شهرکرد | ||
| 2استادیار، دانشکده مهندسی عمران، دانشگاه سمنان | ||
| 3استادیار، مرکز تحقیقات ژئوتکنیک، پژوهشگاه بین المللی زلزله شناسی و مهندسی زلزله، تهران | ||
| تاریخ دریافت: 26 آبان 1394، تاریخ پذیرش: 26 آبان 1394 | ||
| چکیده | ||
| با توجه به اینکه عملکرد صحیح تأسیسات زیربنایی نیاز به طراحی دقیق دارد، بنابراین ارزیابی دقیق پارامترهای کلیدی با به کارگیری روش های نوین از اهمیت ویژه ای برخوردار است. در سازه های خاکی و سیستم های حمل و نقل، به عنوان بخشی از مهم ترین ابنیه ی فنی و زیرساخت ها که خدماتی ضروری برای بشر فراهم می نمایند، همواره برآورد و پیشبینی دقیق تر رفتار خاک، بخصوص در برابر بارهای دینامیکی، بسیار اهمیت دارد. خواص دینامیکی خاک ها شامل مدول برشی و نسبت میرایی از پارامترهای بسیار مهم جهت بررسی رفتار دینامیکی و همچنین مدل سازی این مصالح می باشند. ارزیابی صحیح این پارامترها برای انجام تحلیل های دقیق تر مسائل دینامیک خاک و یا اندرکنش خاک- سازه ضروری میباشد. روش های آزمایشگاهی مختلفی جهت اندازه گیری خصوصیات دینامیکی خاک ها موجود بوده و مطالعات بسیاری انجام شده است. در این مطالعه، بر اساس نتایج موجود و با استفاده از الگوریتم دستهبندی گروهی دادهها (GMDH) دو مدل جهت ارزیابی مدول برشی و نسبت مبرایی خاکهای چسبنده ارائه گردیده است. بررسی صحت عملکرد مدل های ارائه شده، با استفاده از نتایج آزمون های سانتریفیوژ صورت گرفت. این مدل ها نسبت به پارامترهای ورودی آنالیز حساسیت شده و دقت آن ها مورد بررسی قرار گرفته است. در نهایت، مدل های ارائه شده با برخی روابط موجود مقایسه شده است. نتایج این تحقیق نشان از دقت بالای مدل های ارائه شده (مبتنی بر GMDH) در ارزیابی خصوصیات دینامیکی خاک های چسبنده دارد. | ||
| کلیدواژه‌ها | ||
| سازه های خاکی؛ خاک های ریزدانه؛ مدول برشی؛ میرایی خاک | ||
| عنوان مقاله [English] | ||
| Evaluation of Dynamic Behavior of Fine-Grained Soils Using Group Method of Data Handling | ||
| نویسندگان [English] | ||
| H. Javdanian1؛ A. Haddad2؛ Y. Jafarian3 | ||
| چکیده [English] | ||
| Since the proper performance of infrastructures requires a careful design, an accurate evaluation of key parameters by using new methods is of particular importance. In design process of soil structures and transportation systems, as a part of the most important technical buildings and substructures, which provide essential services for humans, it is very important to have a more accurate assessment and prediction of soil behavior, especially under dynamic load conditions. Dynamic properties of soils, including shear modulus and damping ratio, are crucial parameters to both fundamental understanding of dynamic behavior and modeling of these materials. Reliable and accurate dynamic properties of soils are necessary for the solution of many soil dynamic problems or soil-structure interaction. Up to now, the dynamic properties of soils have become the scope of many studies in the field of geotechnical earthquake engineering, using various laboratory methods. In this study, two models were developed for evaluation of shear modulus and damping ratio of cohesive soils using group method of data handling (GMDH). Validation of these models was carried out using centrifuge tests results. A parametric analysis was carried out to evaluate the sensitivity of the proposed models to variation of the influential parameters. Finally, the proposed models were compared to available relationships and charts. Results indicated that GMDH-based models could provide more accurate predictions of dynamic properties of cohesive soils, than those obtained by using previous studies. | ||
| کلیدواژه‌ها [English] | ||
| Soil structures, Fine-grained soils, Shear modulus, Soil damping | ||
| مراجع | ||
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Baziar, M. H. and Jafarian, Y. 2007. “Assessment of liquefaction triggering using strain energy concept and ANN model: Capacity energy”. Soil Dyn. Earthq. Eng. 27: 1056-1072. Baziar, M. H., Jafarian, Y., Shahnazari, H., Movahed, V. and Tutunchian, M. A. 2011. “Prediction of strain energy-based liquefaction resistance of sand-silt mixtures: An evolutionary approach”. Comp. Geosci. 37: 1883-1893. Borden, R. H., Shao, L. and Gupta, A. 1994. “Construction Related Vibrations”. Report No. FHWA/NC/94-007, Federal Highway Administration, Washington, D.C. Borden, R. H., Shao, L. and Gupta, A. 1996. “Dynamic properties of Piedmont residual soils”. J. Geotech. Eng. 122: 813-821. Brennan, A. J., Thusyanthan, N. I. and Madabhushi, S. P. G. 2005. “Evaluation of shear modulus and damping in dynamic centrifuge tests”. J. Geotech. Geoenviron. Eng. 131: 1488-1497. Caserta, A., Martino, S., Bozzano, F., Govoni, A. and Marra F. 2012. “Dynamic properties of low velocity alluvial deposits influencing seismically-induced shear strains: The Grottaperfetta valley test-site (Rome, Italy)”. Bull. Earthq. Eng. 10: 1133-1162. Darendeli, M. B. 2001. “Development of a new family of normalized modulus reduction and material damping curves”. PhD Thesis, University of Texas at Austin, Austin, Texas. Dobry, R. and Vucetic, M. 1987. “State of the art report: Dynamic properties and response of soft clay deposits”. Proc. Int. Symp. on Geotech. Eng. of Soft Soils, 2: 51-87. Ellis, G. W., Yao, C., Zhao, R. and Penumado, D. 1995. “Stress-strain modeling of sands using artificial neural networks”. J. Geotech. Geoenviron. Eng. 121: 429-435. Fugro-McClelland, Inc. 1992. “Dynamic Laboratory Test Data”. Mark Clark Expressway Stono River Crossing, Charleston, South Carolina. Ghorbani, A., Jafarian, Y. and Maghsoudi, M. S. 2012. “Estimating shear wave velocity of soil deposits using polynomial neural networks: Application to liquefaction”. Comp. Geosci. 44: 86-94. Haddad, A. and Shafabakhsh, G. 2007. “Non-invasive continuous surface wave measurements for in situ damping ratio profiling of soils”. Int. J. Civil Eng. 5(2): 93-103. Hardin, B. O. and Kalinski, M. E. 2005. “Estimating the shear modulus of gravelly soils”. J. Geotech. Geoenviron. Eng. 131: 867-875. Hardin, B. O. and Drenvich, V. P. 1972a. “Shear modulus and damping in soils: Design equations and curves”. J. Soil Mech. Found. Div. 98: 667-692. Hardin, B. O. and Drnevich, V. P. 1972b. “Shear modulus and damping in soils: Measurement and parameter effects”. J. Soil Mech. Found. Div. 98: 603-624. Ishibashi, I. and Zhang, X. 1993. “Unified dynamic shear moduli and damping ratios of sand and clay”. Soils Found. 33: 182-191. Ivakhnenko, A. G. 1976. “The group method of data handling in prediction problems”. Soviet Auto. Control Automo. 9(6): 21-30. Jafarian, Y., Haddad, A. and Javdanian, H. 2014. “Predictive model for normalized shear modulus of cohesive soils”. Acta Geodyn. Geomater. 11(1): 89-100. Jafarian, Y., Kermani, E. and Baziar, M. H. 2010. “Empirical predictive model for the vmax/amax ratio of strong ground motions using genetic programming”. Comp. Geosci. 36: 1523-1531. Jafarian, Y., Vakili, R. and Sadeghi Abdollahi, A. 2013. “Prediction of cyclic resistance ratio for silty sands and its applications in the simplified liquefaction analysis”. Comp. Geotech. 52: 54-62. Javdanian, H., Jafarian, Y. and Haddad, A. 2015. “Predicting damping ratio of fine-grained soils using soft computing methodology”. Arabian J. Geosci. 8(6): 3959-3969. Kagawa, T. 1992. “Moduli and damping factors of soft marine clay”. J. Geotech. Eng. 118: 1360-1375. Kalantary, F., Ardalan, H. and Nariman-zadeh, N. 2009. “An investigation on the Su-NSPT correlation using GMDH type neural networks and genetic algorithms”. Eng. Geol. 104(1-2): 144-155. Khan, Z., El Naggar, M. H. and Cascante, G. 2011. “Frequency dependent dynamic properties from resonant column and cyclic triaxial tests”. J. Franklin Inst. 348: 1363-1376. Kim, T. C. and Novak, M. 1981. “Dynamic properties of some cohesive soils of Ontario”. Can. Geotech. J. 18: 371-389. Kokusho, T., Yoshida, Y. and Esashi, Y. 1982. “Dynamic properties of soft clay for wide strain range”. Soils Found. 22: 1-18. Lanzo, G., Vucetic, M. and Doroudian, M. 1997. “Reduction of shear modulus at small strains in simple shear”. J. Geotech. Geoenviron. Eng. 123: 1035-1042. Lee, R. C. 1996. “Investigations of Nonlinear Dynamic Soil Properties at the Savannah River Site”. WSRC-TR-96-0062, Westinghouse Savannah River Company, Aiken, S. C. Najafzadeh, M. and Azamathulla, H. M. 2013a. “Group method of data handling to predict scour depth around bridge piers”. Neural Comp. Appl. 23: 2107-2112. Najafzadeh, M. and Azamathulla, H. M. 2013b. “Neuro-fuzzy GMDH to predict the scour pile groups due to waves”. J. Comp. Civil Eng. 29(5): 04014068. Najafzadeh, M. and Barani, G. A. 2011. “Comparison of group method of data handling based on genetic programming and back propagation systems to predict scour depth around bridge piers”. Sci. Iranica 18(6): 1207-1213. Najafzadeh, M., Barani, G. A. and Azamathulla, H. M. 2013. “GMDH to predict scour depth around a pier in cohesive soils”. Appl. Ocean Res. 40: 35-41. Najafzadeh, M., Barani, G. and Hessami Kermani, M. 2014. “Estimation of pipeline scour due to waves by GMDH”.” J. Pipeline Syst. Eng. Prac. 5(3): 06014002. Najafzadeh, M. and Lim, S. Y. 2015. “Application of improved neuro-fuzzy GMDH to predict scour depth at sluice gates”. Earth Sci. Inform. 8: 187-196. Nariman-zadeh, N., Darvizeh, A. and Ahmad-zadeh, G. R. 2003. “Hybrid genetic design of GMDH type neural networks using singular value decomposition for modelling and prediction of the explosive cutting process”. J. Eng. Manufacture 217: 779-790. Okur, D. V. and Ansal, A. 2007. “Stiffness degradation of natural fine grained soils during cyclic loading”. Soil Dyn. Earthq. Eng. 27: 843-854. Ornek, M. 2014. “Estimation of ultimate loads of eccentric-inclined loaded strip footings rested on sandy soils”. Neural Comp. Appl. 25: 39-54. Rezania, M. and Javadi, A. A. 2007. “A new genetic programming model for predicting settlements of shallow foundations”. Can. Geotech. J. 44: 1462-1473. Richart, F. E., Hall, J. R. and Woods, R. D. 1970. “Vibrations of Soils and Foundations”. Prentice-Hall, Englewood Cliffs, N. J. Saxena, S. K. and Reddy K. R. 1989. “Dynamic moduli and damping ratios for monterey No.0 sand by resonant column tests”. Soils Found. 29: 37-51. Senetakis, K., Anastasiadis, A. and Pitilakis, K. 2012. “The small-strain shear modulus and damping ratio of quartz and volcanic sands”. Geotech. Test. J. 35: 1-17. Shahnazari, H., Tutunchian, M. A., Rezania, R. and Valizadeh, F. 2013. “Evolutionary-based approaches for determining the deviatoric stress of calcareous sands”. Comp. Geosci. 50: 84-94. Stokoe II, K. H., Darendeli, M. B., Andrus, R. D. and Brown, L. T. 1999. “Dynamic Soil Properties: Laboratory, Field and Correlation Studies”. Proc. of the 2nd International Conference on Earthquake Geotechnical Engineering, Lisbon, Portugal, 3: 811-845. Stokoe II, K. H. and Darendeli, M. B. 1998. “Laboratory Evaluation of the Dynamic Properties of Intact Soil Specimens: Garner Valley California”. Geotechnical Engineering Report GR98-3, Civil Engineering Department, The University of Texas at Austin. Stokoe II, K. H., Hwang, S. K., Darendeli, M. B. and Lee, N. J. 1995. “Correlation Study of Nonlinear Dynamic Soils Properties”. Final Report to Westinghouse Savannah River Company, Aiken, S.C. S&ME, Inc. 1998. “Second Report of Seismic Analysis-Daniel Island Terminal, Charleston, South Carolina”. Project Rep. No. 1131-97-741, Mount Pleasant, S.C. U.S. Army Corps of Engineers. 1978. “Dynamic Test Report Sheets on Soil Samples for Richard B. Russell Dam”. Rep. No. EN-FS-77-84, South Atlantic Division Laboratory, Marietta, Ga. Vucetic, M. and Dobry, R. 1991. “Effect of soil plasticity on cyclic response”. J. Geotech. Eng. 117: 89-107. Yasuda, N. and Matsumoto, N. 1993. “Dynamic deformation characteristics of sand and rockfill materials”. Can. Geotech. J. 30: 747-757. Yilmaz, I., Marschalko, M., Bednarik, M., Kaynar, O. and Fojtova L. 2012. “Neural computing models for prediction of permeability coefficient of coarse-grained soils”. Neural Comp. Appl. 21: 957-968. Zhang, J., Andrus, R. D. and Juang, C. H. 2005. “Normalized shear modulus and material damping ratio relationships”. J. Geotech. Geoenviron. Eng. 131: 453-464. | ||
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