RISS 학술연구정보서비스

검색
다국어 입력

http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.

변환된 중국어를 복사하여 사용하시면 됩니다.

예시)
  • 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
  • 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
닫기
    인기검색어 순위 펼치기

    RISS 인기검색어

      검색결과 좁혀 보기

      선택해제

      오늘 본 자료

      • 오늘 본 자료가 없습니다.
      더보기
      • 무료
      • 기관 내 무료
      • 유료
      • KCI등재

        Rotation Capacity Prediction of Open Web Steel Beams Using Artificial Neural Networks

        Ganesh S. Gawande,Laxmikant M. Gupta 한국강구조학회 2023 International Journal of Steel Structures Vol.23 No.4

        Artificial neural networks (ANN) are artificial intelligence technologies used in various fields of science and engineering to represent fascinating human behaviours. Engineers frequently deal with incomplete and noisy data, which is one of the areas where neural network (NN) shine. Aim of this study is to use an ANN approach to determine the rotation capacity of open web steel beams. Using a single point load applied at the span's centre, a theoretical, experimental, and analytical study was conducted. Following the results of experimental and analytical comparisons, the ABAQUS software tool was used to assess a total of 88 nonlinear finite element models. Local slenderness ratios of several finite element models differentiate them. Different elements comprising geometrical and mechanical features of open web steel beams were delivered as input to NN models, including flange and web slenderness, depth and breadth of section, load span and angle section. Suggested formulation's accuracy is confirmed by arithmetical regression created using analytical nonlinear finite element modelling and behaviour of the open web steel beam derived analytically was tested experimentally. Based on research and statistical analysis, the current study found that ANN has a great potential for forecasting the rotation capacity of open web steel beams.

      • KCI등재

        Classification of Open Web Steel Beam: An Analytical and Experimental Study

        Ganesh S. Gawande,Laxmikant M. Gupta 한국강구조학회 2023 International Journal of Steel Structures Vol.23 No.6

        The cross-section classification is an important topic in flexural steel member design since it tackles a cross-section's susceptibility to local buckling and specifies design resistance. As a result, work focuses on determining the classification limits for various classes of open web steel beams. A comprehensive investigation considering theoretical analysis, experimentation, and data analysis to assess the impact of a solitary point load applied at the beam's midpoint. Based on findings of the different studies, a total of eighty-eight nonlinear finite element models were examined using the ABAQUS software programme. The different finite element models are distinguished by their local slenderness ratios. Most of the steel design regulations consider the influence of the “individual plate rule”, “restricted load pattern rule”, and “monotonic rule” for cross section classification and neglect the effect of interactive behaviour. From the literature, it is found that classification should be done at the member level rather than at the cross-sectional level. To address this issue, open web steel beams were classified using the box section as a base. The classification limits for distinct classes of open web steel beams were derived at the member level, taking into account the interaction of different failure modes and local buckling modes. This suggestion is based on the effects of local and local-to-overall interaction buckling modes, which are not explicitly addressed by current design rules. Based on existing research and statistical assessment of test data, the current study provides suitable classification limits and rotation capacity formulations for open web steel beams.

      • KCI등재

        Investigation on Shear Deflection Behaviour of Open Web Steel Beams: An Analytical and Experimental Study

        Gawande Ganesh S.,Gupta Laxmikant M. 한국강구조학회 2024 International Journal of Steel Structures Vol.24 No.1

        Shear defl ection is a key factor to take into consideration since members with smaller web areas are more vulnerable to shear. As a result, this work focuses on using theoretical, experimental, and analytical methods to undertake a parametric analysis to determine the shear defl ection of an open web steel beam under non-uniform bending. The ABAQUS software package was used to analyse a total of sixty nonlinear fi nite element models, and part of the model’s behaviour was tested experimentally. The fl ange and web slenderness ratios that distinguish the fi nite element models were noted using a codal comparison. In addition to the overall behaviour, the shear defl ection of various member components was calculated and compared to the shear defl ection equation provided by Das and Basole and, Timoshenko and Gere. The fi ndings indicated that load versus defl ection plots could be produced analytically and experimentally, proving a good link between the two. The current work presents an appropriate adjustment factor for the theoretical shear defl ection equation to compute the precise shear defl ection behaviour of an open web steel beam. The accuracy of the proposed formulation is proven by an R-squared (R 2 ) value of 0.999. Additionally, the maximum shear defl ection limit for the simply supported open web steel beam under non-uniform bending was calculated as part of this study, along with the impact of the span-to-depth ratio on shear defl ection. The investigation comes to the further conclusion that the parametric variation signifi cantly aff ects the shear defl ection.

      연관 검색어 추천

      이 검색어로 많이 본 자료

      활용도 높은 자료

      해외이동버튼