تشخیص آسیب چندگانه در سازه‌ با‌استفاده از روش آنتروپی موجک گسسته

نوع مقاله : پژوهشی

نویسندگان

• میلاد آشورزاده مقری
• علی بیگلری فدافن

دانشکدۀ فنی مهندسی گرگان، دانشگاه گلستان، گرگان.

10.22067/jfcei.2021.61588.0

چکیده

مقایسۀ داده­های سازه در دوحالت آسیب‌ندیده و آسیب‌دیده یک روش معمول به‌منظور تشخیص آسیب در سازه است. براساس این پردازش مکان و شدت آسیب شناسایی می­گردد. انتخاب الگوریتم­ مناسب به‌منظور انجام این مقایسه با دقت بالا و سرعت مناسب از اهمیت بالایی در فرایند شناسایی آسیب برخوردار می‌باشد. در این مقاله با تعریف مفهوم آنتروپی موجک به‌منظور حفظ دقت و بر‌مبنای تبدیل موجک گسسته به‌منظور حفظ سرعت، یک الگوریتم تشخیص به‌منظور شناسایی محل آسیب در سازه پیشنهاد شده‌است. استفاده از تعریف تبدیل موجک گسسته به‌همراه آنتروپی موجک، پایه الگوریتم شناسایی آسیب روش پیشنهادی را تشکیل می­دهد. به‌منظور ارزیابی حساسیت روش پیشنهادی، از یک مدل عددی به‌منظور درنظر گرفتن سناریوهای گوناگون آسیب استفاده شده‌است. روش پیشنهادی، قابلیت شناسایی چند مکان آسیب براساس پردازش پاسخ رفتار دینامیکی سازه در اثر تجربۀ زمین‌لرزه در سازه‌ای که رفتار واقعی اتصال در آن شبیه‌سازی شده‌است را دارا می‌باشد. روش پیشنهادی به‌عنوان یک روش مؤثر در شناسایی آسیب می‌تواند استفاده شود.

کلیدواژه‌ها

• پایش سلامت سازه
• شناسایی آسیب
• تبدیل موجک گسسته
• آنتروپی موجک نسبی
• قاب سه‌بعدی

20.1001.1.27832805.1400.34.2.1.5

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عنوان مقاله [English]

Structures Multi-Damage Detection by Discrete Wavelet Entropy Method

نویسندگان [English]

• Milad Ashoorzade moghri
• Ali Bigleri Fadafen

Gorgan Faculty of Engineering, Golestan University, Gorgan.

چکیده [English]

Identification of infrastructure damage in the early stages is one of the most fundamental requirements through the maintenance process. In order to identify damages in the process of Structural Health Monitoring, numerous methods have been developed, including Neural Network (NN) Damage Identification Techniques, Time Series Damage Identification Techniques, Frequency Response Damage Identification Techniques, Force Spectrum Density Damage Identification Techniques, and Wavelet Damage Identification Techniques. The conventional structural health monitoring procedure depends on a comparison of undamaged primary structural data to the affected structural data. Comparative algorithms to indicate the location of damage based on the structural data has a significant effect on the structural health monitoring method performance. Therefore, a damage detection algorithm is the most important step in identifying damage in the structural health monitoring procedure. In this paper, a damage identification algorithm based on the relative wavelet entropy method is proposed for the structure. Using the definition of the discrete wavelet transform with wavelet entropy form the base of the proposed algorithm for damage detection to support the method efficiency. The proposed method is capable of identifying several sites of damage and is used as an effective method compared to other methods of damage detection.

کلیدواژه‌ها [English]

• Structural Health Monitoring
• Damage Detection
• Discrete Wavelet Transform
• Relative Wavelet Entropy
• 3D frame

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