مهندسی سازه و ساخت

مهندسی سازه و ساخت

پیش‌بینی عمر مفید باقیمانده پل های بتنی مسلح تحت خوردگی کربناته با استفاده از شبکه بیزین

نوع مقاله : علمی - پژوهشی

نویسندگان
1 دانشجوی دکتری، گروه سازه دانشکده مهندسی عمران، دانشگاه تربیت دبیر شهید رجایی، تهران، ایران
2 استاد، دانشکده مهندسی عمران، دانشگاه تربیت دبیر شهید رجایی، تهران، ایران
3 استادیار،گروه سازه، دانشکده عمران، دانشگاه صنعتی جندی شاپور دزفول، دزفول،ایران
چکیده
در این مقاله یک روش ترکیبی برای تعیین عمر مفید باقیمانده سازه‌ها، مورد توجه و پژوهش قرار گرفته است. هدف از این تحقیق پیشنهاد روشی مناسب برای پیش بینی عمر مفید باقیمانده سازه پل بتن مسلح تحت خوردگی ناشی از کربناته شدن با استفاده از شبکه بیزین است. در این راستا با استفاده از فرمول های روش فیزیک خرابی بر مبنای قابلیت اعتماد سازه الگوریتمی ارائه شد که با استفاده از آن می توان یک پایگاه داده جهت آموزش شبکه بیزین تولید نمود. همچنین با استفاده از شبکه بیزین آموزش یافته، رابطه ای برای تعیین عمر مفید سازه پل‌های در معرض خوردگی کربناته ارائه گردید. برای راستی آزمایی رابطه پیشنهادی، مطالعه موردی در خصوص یک سازه پل واقعی انجام شد. نتایج این تحقیق نشان می‌دهد که روش پیشنهادی انطباق خوبی با نتایج بدست آمده از پژوهش‌های پیشین دارد. نرخ کربناسیون بیشترین تاثیر را در عمر مفید باقیمانده دارد زمانی که این نرخ به کمتر از mm⁄√year 2 می رسد بیشترین عمر بدست می آید. برای دست یابی به عمر بالای 65 سال، نرخ زیر 4mm⁄√year مورد نیاز می باشد. عمر مفید با شاخص قابلیت اطمینان1، 5/1 و 2 مورد بررسی قرار گرفت. با تغییر شاخص از یک به یک و نیم، عمر مفید باقیمانده به طور متوسط 33% کاهش می یابد. در برسی عدی پل مورد مطالعه در این پژوهش، عمر مفید ناشی از کربناسیون در ناحیه سالم 153 سال محاسبه گردید و این در حالی است که در شرایط یکسان محیطی، این عمر در ناحیه ترک خورده به 48 سال کاهش را نشان میدهد.
کلیدواژه‌ها

موضوعات


عنوان مقاله English

Prediction of remaining service life of reinforced concrete bridges exposed to carbonate corrosion using Bayesian network

نویسندگان English

Abbas Mehdizadeh Lima 1
Mussa Mahmoudi Sahebi 2
Amir Zayeri Baghlani Nejad 3
1 Ph.D. Candidate, Faculty of Civil Engineering, Shahid Rajaee Teacher Training University, Tehran, Iran
2 Professor, Faculty of Civil Engineering, Shahid Rajaee Teacher Training University, Tehran, Iran
3 Assistant Professor, Faculty of Civil Engineering, Jundi-Shapur University of Technology, Dezful, Iran
چکیده English

The durability of reinforced concrete bridges can be compromised by environmental factors, with carbonation being a pivotal contributor to their degradation. Carbonation-induced corrosion, particularly in severe weather conditions, critically undermines the structural integrity of bridges. This phenomenon, characterized by the reaction of atmospheric CO2 with the alkaline components of concrete, precipitates a reduction in pH from above 13 to below 9, thereby compromising the protective layer encasing the steel reinforcement. Assessing the residual service life of such structures is essential for timely maintenance, reinforcement, or reconstruction. This study explores a hybrid approach to estimate the remaining useful life of reinforced concrete bridges affected by carbonation corrosion. We propose a novel predictive model utilizing Bayesian networks, informed by the principles of failure physics and structural reliability. An algorithm was developed to generate a database for Bayesian network application, which also facilitated the establishment of a correlation to ascertain the bridge's lifespan. The efficacy of the proposed model was validated through a case study on an existing bridge, demonstrating congruence with prior research and underscoring its potential as a reliable predictive tool for infrastructure longevity.The proposed relationship based on the Bayesian network obtained the remaining useful life of the concrete bridge deck with the R-Squared error index (R2) equal to 0.97, which indicates the acceptable accuracy of the proposed method.

کلیدواژه‌ها English

Concrete bridge
Carbonation
Remaining useful life
Data-oriented method
Bayesian network
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  • تاریخ دریافت 17 فروردین 1403
  • تاریخ بازنگری 10 تیر 1403
  • تاریخ پذیرش 03 مرداد 1403