مهندسی سازه و ساخت

مهندسی سازه و ساخت

مقایسه ضریـب بزرگنمـایی تغییرمکان قاب‌های خمشی بتنی و فولادی در معرض لرزه های متوالی: ارزیابی و تخمین با استفاده از شبکه عصبی مصنوعی

نوع مقاله : علمی - پژوهشی

نویسندگان
1 استادیار، دانشکده مهندسی عمران، دانشگاه تفرش، تفرش، ایران
2 دانشجوی کارشناسی ارشد، دانشکده مهندسی عمران، دانشگاه علم و صنعت ایران، تهران، ایران
3 استاد، مرکز مطالعات مخاطرات طبیعی، دانشکده مهندسی عمران، دانشگاه علم و صنعت ایران، تهران، ایران
چکیده
سازه‌های مستقر در مناطق فعال لرزه‌ای، اغلب در معرض زمین‌لرزه‌هایی قرار دارند که در یک ‌فاصله‌ی زمانی کوتاه و در یک منطقه به ‌صورت پشت سر هم رخ می دهند. از این رو در اکثر اوقات پیش از رخداد لرزه دوم فرصت کافی جهت تعمیر، بازسازی یا تخلیه سازه های خسارت دیده از لرزه اول وجود ندارد. به این ترتیب سازه های طراحی شده براساس زلزله طراحی منفرد، زودتر از تصور آیین نامه های طراحی لرزه ای قادر به سرویس دهی و عملکرد پیش بینی شده نمی باشند. نظر به پتانسیل بالای خسارت زایی زلزله های متوالی و نادیده گرفته شدن آن ها در آیین نامه های طراحی، در این مقاله عملکرد لرزه ای قاب های خمشی بتنی و فولادی در معرض توالی لرزه اصلی و پس لرزه با مقایسه ضریب بزرگنمایی تغییرمکان (Cd) مورد ارزیابی قرار گرفته شده است. در این راستا سه قاب فولادی و بتن مسلح 3، 7 و 11 طبقه در معرض زلزله های متوالی بحرانی تحت تحلیل دینامیکی غیرخطی قرار گرفته اند. نتایج حاکی از آن است که پدیده توالی لرزه ای می‌تواند منجر به افزایش ضریب بزرگنمایی تغییرمکان قاب های مورد مطالعه شود. به گونه ای که میانگین Cd در حالت منفرد برای قاب های بتنی و فولادی به ترتیب برابر با 5/3 و 4/3 و در حالت متوالی 7/3 و 4 می باشد. همچنین بیشترین افزایش مقدار ضریب بزرگنمایی تغییرمکان حدود 15% در قاب 3 طبقه فولادی بوده‌است. در گام بعد به منظور بررسی جامع تر عملکرد لرزه ای قابهای مورد مطالعه، شبکه عصبی مصنوعی ایده آلی طراحی و پس از حساسیت‌سنجی حداکثر ضریب Cd، روابطی جهت تخمین این پارامتر با دقت قابل قبولی ارائه شده است.
کلیدواژه‌ها

موضوعات


عنوان مقاله English

Seismic Performance of Reinforced Concrete and Steel Moment Frames under Successive shocks: Evaluation and Estimation of Deflection Amplification Factor using Artificial Neural Network

نویسندگان English

Elham Rajabi 1
Shaghayegh Pakniat 2
Sanaz Rabet 2
Gholamreza Ghodrati Amiri 3
1 Assistant Professor, Department of Civil Engineering, Tafresh University, 39518-79611, Tafresh, Iran
2 MSc Student, School of Civil Engineering, Iran University of Science and Technology, Tehran, Iran
3 Professor, Natural Disasters Prevention Research Center, School of Civil Engineering, Iran University of Science & Technology, Tehran, IRAN
چکیده English

Structures in seismic active zones are often exposed to earthquakes that occur consecutively in a short time together. Therefore, there is not enough time to repair, rebuild or evacuate the damaged structures under the first shock before the second shocks. Despite what is often assumed by seismic design codes, the designed structures based on a single design earthquake are not capable of predicted service and performance. Considering the high damage potential of successive earthquakes, the seismic performance of RC and steel moment frames under successive shocks has been evaluated by comparing the deflection amplification factor (Cd) in the present paper. In this regard, nonlinear dynamic analysis has been performed for three steel and RC frames with 3, 7, and 11 stories under single and consecutive critical earthquakes. The results indicate that the seismic sequence phenomenon can lead to an increase in Cd for the studied frames. Average Cd for RC and steel frames under single shocks is equal to 3.5 and 3.4 and for consecutive shocks is 3.7 and 4. Also, the largest increase in Cd was about 15% for the 3-story steel frame.In the next step, for more comprehensively investigation of the seismic performance of the studied frames, an ideal artificial neural network is designed and after the sensitivity analysis of the maximum Cd factor, empirical equations are presented to estimate this parameter with acceptable accuracy.

کلیدواژه‌ها English

Deflection Amplification Factor
Seismic Sequence Phenomenon
Artificial Neural Network
Nonlinear Dynamic Analysis
Empirical Equation
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  • تاریخ دریافت 09 مرداد 1402
  • تاریخ بازنگری 14 مهر 1402
  • تاریخ پذیرش 26 آبان 1402