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پیش‌بینی مقاومت فشاری و نفوذ یون کلرید نمونههای بتنی با تخمین بیزین و انجام تحلیل‌های مختلف قابلیت اعتماد | ||
| نشریه مهندسی عمران امیرکبیر | ||
| مقاله 23، دوره 53، شماره 8، آبان 1400، صفحه 3555-3576 اصل مقاله (1.24 M) | ||
| نوع مقاله: مقاله پژوهشی | ||
| شناسه دیجیتال (DOI): 10.22060/ceej.2020.18029.6743 | ||
| نویسندگان | ||
| مهدی کماسی* 1؛ سیدعلی حسن زاده2 | ||
| 1استادیار گروه عمران دانشگاه آیت الله العظمی بروجردی (ره) | ||
| 2دانش آموخته کارشناسی ارشد مهندسی سازه، دانشگاه رازی | ||
| چکیده | ||
| مقاومت فشاری و نفوذ یون کلرید (RCPT) به ترتیب از مشخصه‌‌های مهم مکانیکی و دوام بتن می‌باشند. استفاده از روش‌های تحلیلی مانند فرمول‌ها، نمودارها و نموگرام‌ها برای پیش‌بینی و تحلیل قابلیت اعتماد مقاومت فشاری بتن و RCPT همواره با ضعف‌های زیادی همراه بوده است و همچنین روش‌های محاسبات نرم نیز با وجود دارا بودن دقت مناسب در پیش‌بینی مقاومت فشاری و RCPT، به قابلیت اعتماد هر یک از این پارامترها نپرداخته‌اند. به همین خاطر در این پژوهش از روش احتمالاتی و خطی بیزین استفاده شده است. برای این منظور، براساس تعدادی نمونه بتنی، برای هر یک از پارامترهای مقاومت فشاری و RCPT یک رابطه احتمالاتی براساس ورودی‌های مسأله و خروجی‌های خواسته شده، پیشنهاد شده است. دقت هر یک از روابط پیشنهادی مورد بررسی قرار گرفت و پس از صحت روابط داده شده، از آن‌ها برای تحلیل قابلیت اعتماد استفاده شد. در بخش بعدی این پژوهش، برای بررسی تحلیل قابلیت اعتماد از روش‌های تحلیل قابلیت اعتماد مرتبه اول (FORM)، نمونهگیری مونتکارلو و نمونهگیری پیشین برای بررسی قابلیت اعتماد مقاومت فشاری و RCPT استفاده شده است. تحلیل‌های حاصل از هر سه روش در ارزیابی مقاومت فشاری و RCPT نشان دادند که نتایج هر سه روش به هم بسیار نزدیک می‌باشند. بنابراین استفاده از روش FORM که یک روش خطی و با هزینه محاسباتی پایین‌تر است، می‌تواند گزینه مناسبی برای تحلیل قابلیت اعتماد مقاومت فشاری و RCPT بتن باشد. | ||
| کلیدواژه‌ها | ||
| نمونههای بتن؛ تخمین بیزین؛ تحلیل مرتبه اول قابلیت اعتماد؛ نمونهگیری مونتکارلو؛ نمونهگیری پیشین | ||
| موضوعات | ||
| تست های آزمایشگاهی؛ تکنولوژی بتن؛ شبکه های عصبی؛ قابلیت اطمینان؛ مکانیک شکست | ||
| عنوان مقاله [English] | ||
| CS and RCPT Prediction of Concrete Samples Using Bayesian Inference and Performing Different Reliability Analyzes | ||
| نویسندگان [English] | ||
| Mehdi Komasi1؛ Seyed Ali Hassanzadeh2 | ||
| 1Assistant Professor, Department of Civil Engineering, University of Ayatollah ozma Borujerdi | ||
| 2M.Sc. of Structural Engineering, Razi University | ||
| چکیده [English] | ||
| Compression strength (CS) and rapid chloride permeability test (RCPT) are very significant parameters in mechanical and durability properties in concrete, respectively. Analytical methods such as formulas and graphs for prediction and reliability of CS and RCPT in concrete samples are gathered with many problems. Many soft computing methods are very accurate in the prediction of CS and RCPT but these methods are deterministic or have not reliability tools. For these reasons, Bayesian inference is used which is a probabilistic and linear method. For this purpose, according to some of the concrete samples, a probabilistic relation is proposed for each CS and RCPT. The accuracy of each proposed formula is tested, and after verification of them, reliability analysis is performed. In this study, the first-order reliability method (FORM), Monte-Carlo sampling (MCS), and histogram sampling are used for reliability analysis. Each of these methods has unique properties that FORM is linear and has a very short time-consuming. MCS and histogram sampling are nonlinear and have high time-consuming but their accuracy are very high. Histogram sampling is similar to MCS but in this type of analysis, reliability results for any outcomes are given, and time-consuming in this method is very high. A three-method analysis of CS and RCPT showed that the results are closed together. So, using FORM because of use easily and save time-consuming can be a reasonable choice for reliability analysis of CS and RCPT in concrete samples. | ||
| کلیدواژه‌ها [English] | ||
| Concrete samples, Bayesian inference, FORM, Monte-Carlo sampling, Histogram sampling | ||
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| مراجع | ||
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