جاده

جاده

ارائه مدل تخمین CBR و UCS خاک تورم‌پذیر تثبیت‌شده با آهک هیدراته فعال شده با خاکستر پوسته برنج با استفاده از روش ترکیبی MARS-EBS

نوع مقاله : مقاله پژوهشی

نویسندگان
1 دانشیار، دانشکده مهندسی عمران، دانشگاه صنعتی سیرجان، سیرجان، ایران
2 دانش آموخته کارشناسی ارشد، دانشکده مهندسی عمران، دانشگاه صنعتی سیرجان، سیرجان، ایران
چکیده
نسبت باربری کالیفرنیا یکی از مهم‌ترین پارامترهای طراحی روسازی‌های انعطاف‌پذیر و مقاومت فشاری محصورنشدۀ خاک از جمله پارامترهای مهم طراحی و مهندسی است. تعیین مقدار این پارامترها از طریق آزمایش زمان‌بر و پر هزینه است و بنابراین به‌دست آوردن آن‌ها از طریق راه‌حل‌های جایگزین و قابل اعتماد مورد نیاز است. در این مطالعه از روش اسپیلاین رگرسیون تطبیقی چند متغیره برای مدلسازی مقدار CBR و UCS خاک تورم‌پذیر تثبیت‌شده با آهک هیدراته فعال شده با خاکستر پوستۀ برنج استفاده شده است. پایگاه داده مورد استفاده در این تحقیق شامل 121 داده است که 70 درصد آن به‌عنوان دادۀ آموزش و 30 درصد آن به عنوان دادۀ آزمون انتخاب شده است. در مدل پیش‌بینی CBR از چهار پارامتر ورودی درصد آهک، حد خمیری، شاخص خمیری و حداکثر وزن مخصوص خشک استفاده شده است. همچنین برای مدل پیش‌بینی UCS از پنج پارامتر درصد، حد خمیری، شاخص خمیری، درصد رطوبت بهینه و حداکثر وزن مخصوص خشک به‌عنوان پارامترهای ورودی استفاده شده است. که نشان می‌دهد در این مطالعه از متغیرهای ورودی محدودتری برای مدلسازی این دو پارامتر در مقایسه با مدل‌های توسعه یافته توسط محققان در گذشته استفاده شده است. مقدار ضریب تعیین برای مدل CBR بر اساس داده‌های آموزش و آزمون به‌ترتیب برابر با 9995/0 و 9994/0 و برای مدل UCS به‌ترتیب برابر با 9997/0 و 999/0 به‌دست آمده است که نشان‌دهنده دقت مناسب مدل‌های توسعه داده‌شده است. همچنین نتایج آزمون ANOVA نشان داد که درصد آهک فعال دارای بیشترین درجۀ اهمیت برای پیش‌بینی CBR و UCS است.
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