نشریه علمی-پژوهشی مکانیک سنگ

نشریه علمی-پژوهشی مکانیک سنگ

بهینه‌سازی کاهش ارتعاشات زمین ناشی از انفجار با استفاده از یک مدل یکپارچه ANN-EOA: مطالعه موردی معدن مس سرچشمه

نوع مقاله : مقاله پژوهشی انگلیسی

نویسنده
گروه استخراج، دانشکده معدن و مواد، دانشگاه تربیت مدرس
چکیده
ارتعاشات زمین ناشی از انفجار، چالش‌های زیست‌محیطی و ایمنی قابل توجهی در عملیات معادن روباز، به ویژه در مناطق با پیچیدگی زمین‌شناسی ایجاد می‌کنند. این مطالعه یک مدل یکپارچه شبکه عصبی مصنوعی-الگوریتم بهینه‌ساز تعادل (ANN-EOA) را برای پیش‌بینی و بهینه‌سازی ارتعاشات زمین ناشی از انفجار، به‌طور خاص برای دیواره حساس غربی معدن مس سرچشمه توسعه می‌دهد. مدل ANN دقت پیش‌بینی استثنایی (۹۶٪ R² = 0) را در پیش‌بینی سرعت ذره اوج (PPV) بر اساس هفت پارامتر کلیدی آتشباری نشان داد. سپس الگوریتم EOA با موفقیت یک پیکربندی بهینه آتشباری را شناسایی کرد که پیش‌بینی می‌کند کاهش ۳۴ درصدی در PPV به مقدار ۶.۷۲ میلی‌متر بر ثانیه، از طریق بهینه‌سازی پارامترهای فاصله (۶ متر)، spacing (۷ متر)، زمان تاخیر (۵۰ میلی‌ثانیه) و ماده منفجره حاصل می‌شود. این پژوهش شکاف بحرانی بین مدل‌های هوش مصنوعی تعمیم‌یافته و کاربردهای خاص هر معدن را پل می‌زند و هم یک راه‌حل عملی برای کاهش ارتعاش در سرچشمه ارائه می‌دهد و هم یک روش قابل انتقال که یکپارچه‌سازی هوش محاسباتی با چالش‌های مهندسی معدن را پیش می‌برد. یافته‌ها بر اهمیت در نظر گرفتن شرایط زمین‌شناسی خاص در بهینه‌سازی آتشباری تأکید می‌کنند و در عین حال نیاز به اعتبارسنجی میدانی را به عنوان گام ضروری بعدی برجسته می‌سازند.
کلیدواژه‌ها

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