지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
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연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 국제구조공학회 Steel and Composite Structures, An International Journal Steel and Composite Structures, An International Journal Vol.29 No.3
- 발행연도
- 2018.1
- 수록면
- 309 - 318 (10page)
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초록· 키워드
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Steel girders are the structural members often used for passing long spans. Mostly being subjected to patch loading, or concentrated loading, steel girders are likely to face sudden deformation or damage e.g., web breathing. Horizontal or vertical stiffeners are employed to overcome this phenomenon. This study aims at assessing the feasibility of a machine learning method, namely the support vector machines (SVM) in predicting the patch loading resistance of longitudinally stiffened webs. A database consisting of 162 test data is utilized to develop SVM models and the model with best performance is selected for further inspection. Existing formulations proposed by other researchers are also investigated for comparison. BS5400 and other existing models (model I, model II and model III) appear to yield underestimated predictions with a large scatter; i.e., mean experimental-to-predicted ratios of 1.517, 1.092, 1.155 and 1.256, respectively; whereas the selected SVM model has high prediction accuracy with significantly less scatter. Robust nature and accurate predictions of SVM confirms its feasibility of potential use in solving complex engineering problems.
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참고문헌 (44)
참고문헌 신청
Bergfelt, A. / 1979 / Patch Loading on a Slender Web: Influence of Horizontal and Vertical Web Stiffeners on the Load Carrying Capacity
Bergfelt, A. / 1983 / Girder web stiffening for patch loading
Boser, B.E. / 1992 / A training algorithm for optimal margin classifiers / Proceedings of the Fifth Annual Workshop on Computational Learning Theory
Aires Camões / 2017 / Compressive strength prediction of CFRP confined concrete using data mining techniques / Computers and Concrete, An International Journal 19(3):233~241
Cao, Y. F. / 2013 / Prediction of the elastic modulus of self-compacting concrete based on SVM / Appl. Mech. Mater. 357:1023~1026
Bergfelt, A. / 1983 / Girder web stiffening for patch loading
Boser, B.E. / 1992 / A training algorithm for optimal margin classifiers / Proceedings of the Fifth Annual Workshop on Computational Learning Theory
Aires Camões / 2017 / Compressive strength prediction of CFRP confined concrete using data mining techniques / Computers and Concrete, An International Journal 19(3):233~241
Cao, Y. F. / 2013 / Prediction of the elastic modulus of self-compacting concrete based on SVM / Appl. Mech. Mater. 357:1023~1026
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