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Seung-Eock Kim,Quang-Viet Vu,George Papazafeiropoulos,Zhengyi Kong,Viet-Hung Truong 국제구조공학회 2020 Steel and Composite Structures, An International J Vol.37 No.2
In this paper, the efficiency of five Machine Learning (ML) methods consisting of Deep Learning (DL), Support Vector Machine (SVM), Random Forest (RF), Decision Tree (DT), and Gradient Tree Booting (GTB) for regression and classification of the Ultimate Load Factor (ULF) of nonlinear inelastic steel frames is compared. For this purpose, a two-story, a six-story, and a twenty-story space frame are considered. An advanced nonlinear inelastic analysis is carried out for the steel frames to generate datasets for the training of the considered ML methods. In each dataset, the input variables are the geometric features of W-sections and the output variable is the ULF of the frame. The comparison between the five ML methods is made in terms of the mean-squared-error (MSE) for the regression models and the accuracy for the classification models, respectively. Moreover, the ULF distribution curve is calculated for each frame and the strength failure probability is estimated. It is found that the GTB method has the best efficiency in both regression and classification of ULF regardless of the number of training samples and the space frames considered.
Optimal design using genetic algorithm with nonlinear elastic analysis
Kim, Seung-Eock,Song, Weon-Keun,Ma, Sang-Soo Techno-Press 2004 Structural Engineering and Mechanics, An Int'l Jou Vol.17 No.5
An optimal design method with nonlinear elastic analysis is presented. The proposed nonlinear elastic method overcomes the drawback of the conventional LRFD method that accounts for nonlinear effect by using the moment amplification factors of $B_1$ and $B_2$. The genetic algorithm used is a procedure based on Darwinian notions of survival of the fittest, where selection, crossover, and mutation operators are employed to look for high performance ones among sections in the database. They are satisfied with the constraint functions and give the lightest weight to the structure. The objective function taken is the total weight of the steel structure and the constraint functions are strength, serviceability, and ductility requirement. Case studies of a planar portal frame, a space two-story frame, and a three-dimensional steel arch bridge are presented.
Notional-Load Plastic-Hinge Method for Steel Structure Design
Kim Seung Eock,Yun Young Mook 한국전산구조공학회 1996 한국전산구조공학회논문집 Vol.9 No.2
본 논문 에서는 강구조물의 설 계를 위한 가상하중 소 성활절 해석기볍이 연구되 었 다. 구조풀 의 기하학적 인 불완전성 올 가상하중 기법으로 고 려하였다. 본 해 석 기볍을 통하여 구조물 의 거동과 하증 지지 능력 을 직접적인 방법으로 예측할 수 있다. 즉 본 기법 은 강구조 설 계 에서 전통적으로 사용되고 있 는 유효길이 인 지 (K-fac tor) 의 계산 및 각 부재의 강도계산을 필요로 하지 않으므로써 다음 세대의 설 계기볍이라고 할 수 있다. 본 기볍 에 의하여 예측된 강도와 변위는 정확한 해라고 알려진 Plastic-Zone 해석 결 과와 비교 검증하였다, 본 기볍의 해석 및 설계 세 부 지침과 순서 를 제시하였으며, 본 해석기볍 및 AISC-LRFD 방법에 의하여 결 정된 부재크기 를 비교하였다. 본 해석기법은 실 제 설계에 효율 적 으로 사용될 수 있을 것으로 사료된다. This paper presents practical notional-load plastic-hinge method for a two-dimensional steel structure design. The proposed method incorporates the refined plastic-hinge concept for spread of plas ticity together with a practical notional-load approach. The proposed method can 잃sess realistically both strength and behavior of a structural system and its individual members in a direct rnanner. As a result, the method can be used for design without tedious separate member capacity checks, including the calculation of K-factor. The strengths predicted by the proposed method are then compared with those predicted by the exact plastic-zone analysis as well as by the conventional LRFD procedure. A good agreement is' generally observed. The displacement predictions are compared with the plastic-zone solutions. Analysis and design guidelines in using the proporsed method are given in detail. Analysis and design procedures are recommended. Member sizes determined by the proposed method are compared with those determined by the LRFD method. It is concluded that the procedures are suitable for adoption in practice.
Behavior of composite CFST beam-concrete column joints
Seung-Eock Kim,Ji-Hun Choi,Thai-Hoan Pham,Viet-Hung Truong,Zhengyi Kong,Nguyen-Thê Duong,Quang-Viet Vu 국제구조공학회 2020 Steel and Composite Structures, An International J Vol.37 No.1
This paper introduces a new composite joint, which is the composite CFST beam- concrete column joint, and it is more convenient for transportation and erection than conventionally welded joints. The main components of this joint include steel H-beams welded with CFST beams, reinforced concrete columns, and reinforced concrete slabs. The steel H-beams and CFST beams are connected with a concrete slab using shear connectors to ensure composite action between them. An experimental investigation was conducted to evaluate the proposed composite joint performance. A three-dimensional (3D) finite element (FE) model was developed and analyzed for this joint using the ABAQUS/explicit. The FE model accuracy was validated by comparing its results with the relevant test results. Additionally, the parameters that consisted of the steel box beam thickness, concrete compressive strength, steel yield strength, and reinforcement ratio in the concrete slab were considered to investigate their influence on the proposed joint performance.