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ارزیابی مخاطرات ژئوتکنیکی در پروژههای تونل زنی با استفاده از روش FDAHP-PROMETHEE (مورد مطالعاتی: قطعه دوم تونل امامزاده هاشم (ع)) | ||
| نشریه مهندسی عمران امیرکبیر | ||
| مقاله 16، دوره 49، شماره 4، اسفند 1396، صفحه 791-800 اصل مقاله (556.6 K) | ||
| نوع مقاله: مقاله پژوهشی | ||
| شناسه دیجیتال (DOI): 10.22060/ceej.2017.11768.5075 | ||
| نویسندگان | ||
| رضا میکائیل* 1؛ احسان جعفرنژاد قراحسنلو1؛ احمد آریافر2 | ||
| 1گروه مهندسی معدن، مواد و متالورژی ، دانشگاه صنعتی ارومیه، ارومیه، ایران | ||
| 2دانشکده مهندسی معدن، دانشگاه بیرجند، خراسان جنوبی، ایران | ||
| چکیده | ||
| چکیده: امروزه تونلها بر مبنای نیازهای عمومی ممکن است در محلهایی احداث شوند که از نظر شرایط زمینشناسی مطلوب نباشند. در اغلب این شرایط، به منظور بهبود عملکرد و ایمنی، استفاده از تکنولوژی حفاری مکانیزه غیر قابل اجتناب است. تونلسازی مکانیزه در محیطهای سخت با مخاطرات فراوانی از جمله برخورد به ناحیههای گسلی، هجوم آب و مچالهشوندگی روبرو است که میتواند عملیات تونلزنی را برای مدت طولانی متوقف سازد. بهدلیل حجم بالای سرمایهگذاری در چنین پروژههایی، پیشبینی و بررسی مخاطرات از اهمیت بالایی برخوردار است. در این تحقیق سعی شده است تا پس از بررسی مشخصات زمینشناسی و شناسایی مخاطرات ژئوتکنیکی قطعه دوم تونل امامزاده هاشم(ع) به ارزیابی و معرفی پرمخاطرهترین مقطع از طول مسیر حفاری تونل با استفاده از روش FDAHP-PROMETHEE پرداخته شود. بدین ترتیب پس از انتخاب معیارهای مسئله، شامل ناپایداری تونل، هجوم آب و مچالهشوندگی، وزن هر کدام از معیارها با توجه به شدت، نرخ و احتمال رخداد با استفاده از روش تحلیل سلسله مراتبی فازی دلفی تعیین شد. در انتها پرمخاطرهترین مقطع در طول مسیر قطعه دوم تونل امامزاده هاشم (ع) با استفاده از روش پرامیتی مورد ارزیابی قرار گرفته شده است. نتایج حاصل از بررسیها نشان داد که مقطع H-3 به عنوان پر مخاطره ترین مقطع از میان مقاطع مورد بررسی از دیدگاه ژئوتکنیکی می باشد. | ||
| کلیدواژهها | ||
| حفاری مکانیزه؛ ریسکهای ژئوتکنیکی؛ تحلیل سلسله مراتبی فازی دلفی؛ پرامیتی | ||
| موضوعات | ||
| حمل و نقل و کاربری زمینی | ||
| عنوان مقاله [English] | ||
| Geotechnical Risks Assessment During the Second Part of Emamzadeh Hashem (AS) Tunnel Using FDAHP-PROMETHEE | ||
| نویسندگان [English] | ||
| R. Mikaeil1؛ E. Jafarnejad Gharahasanlou1؛ A. Aryafar2 | ||
| 1Department of Mining and Materials Engineering, Urmia University of Technology, Urmia, Iran | ||
| 2Department of Mining Engineering, Birjand University, Birjand, Iran | ||
| چکیده [English] | ||
| Nowadays, the tunnels based on the public’s needs may be built in unfavorable geological conditions. In most of these situations, the use of mechanized excavation technology is unavoidable to improve the performance and safety. Mechanized tunneling in difficult conditions with many risks, including the fault zones, water inflow and squeezing that tunneling operations could stop for a long time. It is very important to predict and assess the hazards because of the large volume of investment in such projects. In this study, it was tried to investigate the stability and convergence of environment and water inflow in seven section of the second part of the Emamzadeh Hashem (AS) tunnel using analytical and numerical methods after identification of the geological characteristics and geotechnical risks. Then, the most risky section was investigated and introduced using Fuzzy Delphi Analytical Hierarchy Process (FDAHP) and PROMETHEE methods. Thus, after selecting criteria, including the instability of the tunnel, water inflow and squeezing, the weighting of each criterion was determined using FDAHP method according to the severity, rate and probability of disaster. Finally, the most risky section of the second part of Emamzadeh Hashem (AS) tunnel was evaluated using the PROMETHEE method. Thus the H-3 section was introduced and selected as the most risky section based on geotechnical properties. The results of this study showed that a combination of multiple criteria decision making, analytical, numerical and fuzzy methods can be used to predict and evaluate the geotechnical risks and doing disaster risk reducing actions to reduce the risk. | ||
| کلیدواژهها [English] | ||
| Emamzadeh Hashem (AS) Tunnel, Mechanized Excavation, Geotechnical Risks, Fuzzy Delphi AHP, PROMETHEE | ||
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| مراجع | ||
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