ارزیابی مقاومت فشاری بتن با تلفیق روشهای غیر مخرب و پردازش تصویر

نوع مقاله : مقاله پژوهشی

نویسندگان

1 گروه عمران، پردیس دانشگاهی، دانشگاه گیلان، رشت، ایران

2 گروه عمران، دانشکده فنی، دانشگاه گیلان، رشت، ایران

10.22124/jcr.2025.30497.1703

چکیده

روش های غیر مخرب (NDT) برای تخمین مقاومت فشاری بتن f’c درمحل معمولاً با آزمون‌های سرعت پالس اولتراسونیک و عدد بازتاب چکش، یا ترکیب آن‌ها (SonReb) انجام می‌شود. از آنجاکه دقت این روش‌ها متأثر از شرایط بتن است، تکنیک‌های پردازش تصویر دیجیتال (DIP) به‌عنوان جایگزین‌هایی با حساسیت کمتر به این شرایط مطرح شده‌اند. در این مقاله، تلاش شد تا با رویکرد جدیدی مبتنی بر ترکیب نتایج NDT و DIP یک رابطه قابل‌اعتماد و تعمیم‌پذیر جهت تخمین f’c معرفی شود. برای این منظور، ۱۳۵ نمونه استوانه‌ای استاندارد قالبگیری شد و علاوه برآزمون‌ فشاری و NDT، تعدادی ویژگی‌ توسط DIP از سطوح برش‌خورده آن‌ها استخراج گردید. نتایج به‌دست‌آمده برای آموزش و اعتبارسنجی یک مدل رگرسیون جهت تخمین f’c استفاده شد. به علاوه، آزمون‌های مشابهی بر روی مغزه‌هایی با قطر ۹۵ میلی‌متر که از سه تراز دو نمونه منشوری با ابعاد ۱۸۰۰×۳۰۰×۳۰۰ میلی‌متر حفاری شده بودند، انجام گرفت تا قابلیت معادلات پیشنهادی در تخمین مقاومت بتن اعضای سازه‌ای بررسی شود. یافته‌ها نشان دادند که ترکیب NDT و DIP در تخمین f’c عملکرد بهتری نسبت به مدل SonReb دارد، به‌طوری که مقدار R² برای داده‌های آموزش و اعتبارسنجی به‌ترتیب 90/0 و 94/0 به دست آمد، در حالی که مقدار R² برای SonReb به‌ترتیب 83/0 و 91/0 بود. علاوه بر این، مدل پیشنهادی مقدار f’c مغزه‌های استخراج‌شده از نمونه‌های منشوری را با R² برابر با 88/0 تخمین زد در حالیکه این مقدار برای مدل SonReb برابر با 81/0 به دست آمد.

کلیدواژه‌ها

موضوعات

عنوان مقاله [English]

Evaluation of Concrete Compressive Strength by Integrating Non-Destructive Methods and Image Processing

نویسندگان [English]

  • Hassan Araghi 1
  • Rahmat Madandoust 2
  • Meysam Effati 2
1 Department of Civil Engineering, International Campus, Guilan University. Rasht, Guilan Province, Iran
2 Department of Civil Engineering, Faculty of Technology, Guilan University, Rasht, Guilan Province, Iran
چکیده [English]

Non-destructive testing (NDT) methods for estimating in-situ concrete compressive strength (f’c) are typically performed using ultrasonic pulse velocity tests, rebound hammer tests, or a combination of both (SonReb). Since the accuracy of these methods is affected by the condition of the concrete, digital image processing (DIP) techniques have been proposed as alternatives with reduced sensitivity to these conditions. In this study, an approach based on integrating NDT and DIP results was employed to establish a reliable and generalizable relationship for estimating f’c. To this end, 135 standard cylindrical specimens were cast, and in addition to performing compressive and NDT tests, several features were extracted from their saw-cut surfaces using DIP. The resulting data were then used to train and validate a regression model for estimating f’c. Furthermore, similar tests were conducted on cores with a 95‑mm diameter, drilled from three levels of two specimens (each measuring 1800×300×300 mm), in order to assess the applicability of the proposed equations in estimating the concrete strength of structural members. The findings demonstrated that the combination of NDT and DIP outperformed the SonReb model in estimating f’c, yielding R² values of 0.90 and 0.94 for the training and validation datasets, respectively, compared to 0.83 and 0.91 for SonReb. Additionally, the proposed model estimated the f’c values of cores extracted from columns with an R² of 0.88, whereas the SonReb model achieved an R² of 0.81.

کلیدواژه‌ها [English]

  • Concrete Strength Assessment
  • Image Processing
  • Non-Destructive Tests
  • Rebound Hammer Number
  • Ultrasonic Pulse Velocity

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