نشریه مهندسی عمران امیرکبیر

نشریه مهندسی عمران امیرکبیر

توسعه یک روش خودکار نوین برای شناسایی توالی نصب عناصر سازه‌های فولادی با استفاده از اطلاعات مدل ETABS

نوع مقاله : مقاله پژوهشی

نویسندگان
دانشکده مهندسی عمران، دانشگاه تهران، تهران، ایران،
چکیده
زمان‌بندی دقیق و با جزییات کافی، پیش‌نیاز کلیدی برای ایجاد مدل‌های چهاربعدی در پروژه‌های ساختمانی است. با این حال، این فرآیند به دلیل اتکای بالا به تلاش‌های دستی، معمولا به یک زمان‌بندی کلی و کم‌جزئیات منجر می‌شود که در نهایت، سطح دقت و کارایی لازم را ارائه نمی‌کند و می‌تواند موفقیت پروژه را به خطر بیندازد. این چالش با افزایش مقیاس و پیچیدگی پروژه‌ها، به‌ویژه در سازه‌های فولادی، پیچیده‌تر می‌شود. در این سازه‌ها، توالی نصب عناصر باید به گونه‌ای تعیین شود که علاوه بر رعایت قواعد عمومی نصب، پایداری سازه نیز در هر لحظه حفظ شود. با این وجود، در ادبیات پژوهش، رویکردهای محدودی به صورت جامع به تعیین توالی نصب پرداخته‌اند و این فرآیند معمولا دستی باقی مانده است. این مقاله با هدف رفع این شکاف، یک روش خودکار نوین برای شناسایی پیش‌نیازهای نصب و تعیین توالی بهینه عناصر سازه‌های فولادی ارائه می‌دهد. این رویکرد که پیش‌تر در هیچ مطالعه‌ای آزموده نشده‌است، به‌طور مستقیم داده‌های مدل ETABS را استخراج کرده و با ترکیب تحلیل لحظه‌ای پایداری سازه و قوانین اجرایی نصب، پیش‌نیازهای نصب و توالی بهینه عناصر سازه‌های فولادی را تعیین می‌کند. نتایج بدست آمده نشان از موفقیت مدل در تعیین پیش‌نیازی‌های نصب هر عنصر و به‌دنبال آن توالی‌های نصب سازه دارد. همچنین نتایج این پژوهش نشان می‌دهد که استفاده از روش پیشنهادی علی‌الخصوص در پروژه‌های مقیاس بزرگ نه تنها دقت و سرعت تعیین توالی نصب را بهبود می‌بخشد، بلکه می‌تواند به عنوان پایه‌ای قدرتمند برای تولید مدل‌های چهاربعدی خودکار مورد استفاده قرار گیرد؛ امری که در ادبیات پژوهش تا کنون به صورت محدودی به آن پرداخته شده است. محدودیت‌های اصلی پژوهش حاضر شامل وابستگی به مدل ETABS و عدم ارزیابی در سازه‌های ترکیبی یا با پیچیدگی بالا است که می‌تواند در پژوهش‌های آتی برطرف شود.
کلیدواژه‌ها

موضوعات


عنوان مقاله English

Development of an Innovative Automated Method for Identifying the Installation Sequence of Steel Structure Elements Using ETABS Model Information

نویسندگان English

Mehdi Tavakolan
Shayan Nikoukar
چکیده English

Accurate and detailed scheduling is a critical prerequisite for creating 4D models in construction projects. However, this process, heavily reliant on manual efforts, often results in a generalized and less-detailed schedule that ultimately fails to deliver the required accuracy and efficiency, potentially jeopardizing project success. This challenge becomes more pronounced with the increasing scale and complexity of projects, especially in steel structures, where the installation sequence of elements must be determined in a way that not only adheres to general installation rules but also ensures structural stability at all times. Despite the importance of this issue, the literature has paid limited and often fragmented attention to installation sequencing, leaving the process predominantly manual. To address this gap, this paper introduces an innovative automated method for identifying installation prerequisites and determining the optimal installation sequence for steel structure elements. The proposed method automatically extracts the necessary data from the ETABS model and, using a set of installation rules and real-time stability analysis, identifies the prerequisites for installing each element. The results demonstrate the success of the model in determining installation prerequisites for each element and, consequently, the installation sequence for the structure. Furthermore, the findings indicate that the proposed method, particularly in large-scale projects, not only improves the accuracy and speed of installation sequencing but also serves as a robust foundation for generating automated 4D models—an aspect that has been addressed to a limited extent in the existing literature.

کلیدواژه‌ها English

Automation
Installation Sequence
Steel Structures
4D Modeling
Building Information Modeling (BIM)
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