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Data-Driven Decision-Making in the Design Optimization of Thin-Walled Steel Perforated Sections: A Case Study
المؤلفون المشاركون
Lyu, Zhi-Jun
Lu, Qi
Song, YiMing
Xiang, Qian
Yang, Guanghui
المصدر
العدد
المجلد 2018، العدد 2018 (31 ديسمبر/كانون الأول 2018)، ص ص. 1-14، 14ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2018-05-15
دولة النشر
مصر
عدد الصفحات
14
التخصصات الرئيسية
الملخص EN
The rack columns have so distinctive characteristics in their design, which have regular perforations to facilitate installation of the rack system that it is more difficult to be analyzed with traditional cold-formed steel structures design theory or standards.
The emergence of industrial “big-data” has created better innovative thinking for those working in various fields including science, engineering, and business.
The main contribution of this paper lies in that, with engineering data from finite element simulation and physical test, a novel data-driven model (DDM) using artificial neural network technology is proposed for optimization design of thin-walled steel specific perforated members.
The data-driven model based on machine learning is able to provide a more effective help for decision-making of innovative design in steel members.
The results of the case study indicate that compared with the traditional finite element simulation and physical test, the DDM for the solving the hard problem of complicated steel perforated column design seems to be very promising.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Lyu, Zhi-Jun& Lu, Qi& Song, YiMing& Xiang, Qian& Yang, Guanghui. 2018. Data-Driven Decision-Making in the Design Optimization of Thin-Walled Steel Perforated Sections: A Case Study. Advances in Civil Engineering،Vol. 2018, no. 2018, pp.1-14.
https://search.emarefa.net/detail/BIM-1116383
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Lyu, Zhi-Jun…[et al.]. Data-Driven Decision-Making in the Design Optimization of Thin-Walled Steel Perforated Sections: A Case Study. Advances in Civil Engineering No. 2018 (2018), pp.1-14.
https://search.emarefa.net/detail/BIM-1116383
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Lyu, Zhi-Jun& Lu, Qi& Song, YiMing& Xiang, Qian& Yang, Guanghui. Data-Driven Decision-Making in the Design Optimization of Thin-Walled Steel Perforated Sections: A Case Study. Advances in Civil Engineering. 2018. Vol. 2018, no. 2018, pp.1-14.
https://search.emarefa.net/detail/BIM-1116383
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1116383
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر
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