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Journal of Rehabilitation in Civil Engineerin، جلد ۳، شماره ۱، صفحات ۲۴-۴۲
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عنوان انگلیسی Steel Buildings Damage Classification by damage spectrum and Decision Tree Algorithm
چکیده انگلیسی مقاله Results of damage prediction in buildings can be used as a useful tool for managing and decreasing seismic risk of earthquakes. In this study, damage spectrum and C4.5 decision tree algorithm were utilized for damage prediction in steel buildings during earthquakes. In order to prepare the damage spectrum, steel buildings were modeled as a single-degree-of-freedom (SDOF) system and time-history nonlinear analysis was carried out to develop a set of SDOF structures. Then, damage index was used to prepare the damage spectrum. Data parameters required for training and evaluating the C4.5 decision tree algorithm were obtained from the results of damage spectra for steel structures and using Krawinkler damage index Also, two decision trees were trained based on quantitative indices. The first decision tree determined whether damage occurred in buildings or not and the second predicted severity of damage as repairable, beyond repair, or collapse. decision tree classification algorithm was used to predict damage to steel structures.
کلیدواژه‌های انگلیسی مقاله
نویسندگان مقاله سید امیر حسین هاشمی | seyed amir hossein
department of civil engineering, science and research branch, islamic azad university, tehran, iran
سازمان اصلی تایید شده: دانشگاه آزاد اسلامی علوم و تحقیقات (Islamic azad university science and research branch)

غلامرضا قدرتی امیری | ghodrati amiri
professor, school of civil engineering iran university of science amp;amp; technology

فرزانه حامدی |
assistant professor, faculty of engineering, imam khomeini international university, qazvin, iran
سازمان اصلی تایید شده: دانشگاه بین المللی امام خمینی (Imam khomeini international university)

نشانی اینترنتی http://civiljournal.semnan.ac.ir/article_356_da0f1757313e3374cce599aad5e0ba94.pdf
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زبان مقاله منتشر شده en
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