تشخیص خرابی در قاب‌‌های خمشی فولادی با آسیب‌‌های چندگانه به کمک تبدیل موجک

ابراهیم نژادشلمانی, میلاد; نظری, معصومه

doi:10.22065/jsce.2023.360149.2924

تشخیص خرابی در قاب‌‌های خمشی فولادی با آسیب‌‌های چندگانه به کمک تبدیل موجک

نوع مقاله : علمی - پژوهشی

نویسندگان

¹ استادیار، گروه مهندسی عمران، دانشکده فنی و مهندسی شرق، دانشگاه گیلان، رودسر، ایران

² کارشناس ارشد، گروه مهندسی عمران، دانشکده فنی، موسسه آموزش عالی دیلمان، لاهیجان، ایران

10.22065/jsce.2023.360149.2924

چکیده

با توجه به احتمال کاهش عمر مفید سازه در نتیجه‌‌ عواملی چون ترک‌‌خوردگی و پدیده‌‌هایی نظیر زلزله، کنترل مداوم سازه از اهمیت بسیار بالایی برخوردار می‌‌باشد تا با شناسایی به موقع موقعیت و شدت آسیب، بتوان تخمین مناسبی از عمر مفید باقیمانده‌‌ی سازه ارائه نمود. یک ابزار قدرتمند برای شناسایی آسیب‌‌های موضعی در ساز‌‌ه‌‌ها تبدیل موجک می‌‌باشد که در آن، بدون توجه به پاسخ سازه اصلی (آسیب ندیده)، موقعیت آسیب در سازه با مشاهده تغییر ناگهانی در ضرایب موجک سازه‌‌ی آسیب‌‌دیده شناسایی می‌‌گردد. در این مقاله کاربرد تبدیل موجک برای تشخیص ترک‌‌های چندگانه در قاب‌های خمشی فولادی، که در مطالعات گذشته کمتر مورد توجه بوده است، ارائه شده است. در این راستا، حالت‌‌های مختلف ترک به صورت حذف جزء (المان) در قاب‌‌های یک‌‌طبقه و دوطبقه درنظر گرفته شده و سپس، چهار مد اول سازه در حالت آسیب‌دیده با استفاده از نرم افزار آباکوس استخراج می‌‌گردد. در نهایت، شکل‌‌های مدی به‌دست آمده تحت تبدیل‌‌های موجک پیوستهsym2 و coif5 قرار گرفته و توانایی این روش برای تشخیص ترک در سازه‌‌ها با درنظرگرفتن اثر مرتبه مدها و همچنین تاثیر فاصله آسیب از تکیه‌‌گاه ارزیابی می‌‌گردد. نتایج شبیه‌سازی نشان می‌دهد که در صورت انتخاب موجک مناسب، این روش قادر است موقعیت آسیب را از نشانک (سیگنال) پاسخ به روشی ساده، قوی و قابل اعتماد استخراج کند. همچنین نشان داده شد که موقعیت آسیب در وسط تیر نسبت به پای ستون با دقت بالاتری قابل شناسایی است. علاوه بر این مشاهده گردید که مدهای بالاتر با وضوح بیشتری موقعیت آسیب را شناسایی می‌کنند.

کلیدواژه‌ها

موضوعات

کنترل فعال و غیر فعال سازه ها

عنوان مقاله [English]

Damage Detection of Steel Moment Frames with Multiple Damages using Wavelet Transform

نویسندگان [English]

Milad Ebrahimnejad ¹
Masoume Nazari ²

¹ Assistant Professor, Department of Civil Engineering, Faculty of Technology and Engineering-Eastern Guilan, University of Guilan, Roudsar, Iran

² MSc, Department of Civil Engineering, Faculty of Engineering, Deylaman Institute of Higher Education, Lahijan, Iran

چکیده [English]

Regarding the possibility of lifetime reduction of the structure due to different factors, including cracking and phenomena, such as earthquakes, it is crucial to constantly monitor the structure so that the location and severity of the damage can be timely identified to correctly estimate the remaining lifetime of the structure. Wavelet transform is a robust tool for identifying local structural damages, by which the damage location is identified by observing a disturbance in the wavelet coefficients of the damaged structure, regardless of the main (undamaged) structure response. This paper addresses the application of wavelet transforms for identifying multiple cracks in steel moment resisting frames, which has received less attention in the literature. To this end, different crack modes were considered in the form of element removal for one-story and two-story frames, and the first four mode shapes of the damaged structure were derived using the ABAQUS. Finally, the derived mode shapes were subjected to continuous coif5 and sym2 wavelet transform, and the capability of the method in identifying cracks in structures accounting for the effect of mode order and damage location was evaluated. The results indicated that if the proper wavelet was selected, the proposed method would be able to identify the damage location based on the response signal using a simple, robust, and reliable way. The results also showed that the damage in the beam was identified with a higher accuracy than the column foot. It was also shown that the location of the damage in the mid-span of the beam can be identified with a higher accuracy than the damage near to the column abutments. Also, it was observed that higher modes could identify the damage location with a higher resolution.

کلیدواژه‌ها [English]

Structural health monitoring
Damage detection
Multiple cracks
Element removal
Wavelet transform

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