A review on application of composite truss bridges composed of hollow structural section members

Tian, Zhuowei; Liu, Yongjian; Jiang, Lei; Zhu, Weiqing; Ma, Yinping

doi:10.1016/j.jtte.2018.12.001

Cited by 32 publications

(13 citation statements)

References 17 publications

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“…This could significantly increase the bearing capacity of the structure [ 4 , 5 , 6 , 7 , 8 ]. Previous studies [ 9 , 10 , 11 , 12 , 13 ] also showed that the CFST column has high flexibility, high energy absorption, and high reliability when used for earthquake-resistant buildings. Moreover, it is able to reduce the impact on the environment by eliminating formwork, and the steel pipes could be reused, or using high-strength concrete with recycled materials.…”

Section: Introductionmentioning

confidence: 98%

A Novel Hybrid Model Based on a Feedforward Neural Network and One Step Secant Algorithm for Prediction of Load-Bearing Capacity of Rectangular Concrete-Filled Steel Tube Columns

Nguyen

Tran

et al. 2020

Molecules

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In this study, a novel hybrid surrogate machine learning model based on a feedforward neural network (FNN) and one step secant algorithm (OSS) was developed to predict the load-bearing capacity of concrete-filled steel tube columns (CFST), whereas the OSS was used to optimize the weights and bias of the FNN for developing a hybrid model (FNN-OSS). For achieving this goal, an experimental database containing 422 instances was firstly gathered from the literature and used to develop the FNN-OSS algorithm. The input variables in the database contained the geometrical characteristics of CFST columns, and the mechanical properties of two CFST constituent materials, i.e., steel and concrete. Thereafter, the selection of the appropriate parameters of FNN-OSS was performed and evaluated by common statistical measurements, for instance, the coefficient of determination (R2), root mean square error (RMSE), and mean absolute error (MAE). In the next step, the prediction capability of the best FNN-OSS structure was evaluated in both global and local analyses, showing an excellent agreement between actual and predicted values of the load-bearing capacity. Finally, an in-depth investigation of the performance and limitations of FNN-OSS was conducted from a structural engineering point of view. The results confirmed the effectiveness of the FNN-OSS as a robust algorithm for the prediction of the CFST load-bearing capacity.

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Section: Introductionmentioning

confidence: 98%

A Novel Hybrid Model Based on a Feedforward Neural Network and One Step Secant Algorithm for Prediction of Load-Bearing Capacity of Rectangular Concrete-Filled Steel Tube Columns

Nguyen

Tran

et al. 2020

Molecules

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“…The advantages on the mechanical properties of CFSHS structure stiffened using PBR were systematically expounded with respect to the behaviors of steel plate, interface, member and joint. Composite truss bridge with PBR-stiffened CFRHS members was competitive in mechanical performance and construction [11]. CFST columns with other stiffeners such as tensile bar and reinforcing bar could also restrain the outward deformation of concave corners and weld points, postpone the local buckling of steel tubes, improve the confinement of concrete in a certain extent, increase the bearing capacity and ductility of specimens and improve the failure mode of specimens [12,13].…”

Section: Introductionmentioning

confidence: 99%

Testing and Analysis of Concrete-Filled Square Hollow Section Stub Columns with Perfobond Leister Rib

Cheng

Liu

et al. 2019

Teh. vjesn.

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Perfobond Leister Rib (PBR) is found to improve the bond strength in concrete-filled hollow section and the capacity of the steel plate to resist local buckling. An experimental investigation of 12 test specimens is firstly carried out on the behavior of concrete-filled square hollow section CFSHS) stub columns with PBR. To examine different mechanical behaviors of the columns utilized in bridge or building structure, different loading methods are investigated; e.g., loading through steel alone, loading through concrete alone and loading through the whole cross section. The failure mode, strain distribution, ultimate strength and the confinement of the concrete core offered by the steel tube are studied. The test results showed that CFSHS tubular columns with PBR are emulative of the conventional columns. PBR can make the steel tube and filled-in concrete work together, which results in the axial load shared by hollow steel section and filled-in concrete section regardless of loading through steel or concrete alone. The axial strain distribution model of steel tube section along the height for CFSHS with PBR is proposed.

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“…Li et al [17] tested the steel truss-to-circular CFT column subassembly and concluded that relative strength between steel truss and column zone is the main factor influencing the seismic performance and failure patterns. Besides, researchers also investigated the behavior of other different complex truss joints, i.e., the KK-joint between two welded square hollow section trusses in China National Stadium [18] and various truss joints applied in large-span and heavily-load bridges [19].…”

Section: Introductionmentioning

confidence: 99%

Test and Numerical Study on Monotonic Behavior of Complex CFT Column Joints

Yang

Jia

et al. 2019

Advances in Civil Engineering

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This paper presents a test and numerical investigation into the monotonic behavior of three different complex steel trusses to concrete-filled tubular (CFT) column joints. Based on an engineering structure, 1 : 4 reduced-scale specimens are manufactured and the three-dimensional subassembly testing system is designed to apply the monotonic load. Test phenomena and load-stress curves show that all three types of joints have a considerable load-carrying capacity and joint rigidity. Finite element (FE) analysis is adopted, and the stress distribution shows good agreement with test data. Both test and FE results show that local buckling and yielding in the root region of steel truss are the main failure modes of test joints and the core area of the CFT column remains intact which are in accordance with the design conception of “strong column and weak beam.” Design conception of proposed overlap joint form is then investigated based on the FE model, and results show that the optimized overlap joint can effectively reduce the stress concentration in the adjacent steel tube and beam member when compared to the traditional N-type overlap joint. Finally, the influence of the outer diaphragm on the stiffness of joint is analyzed. By comparing the end-displacement of the beam member, conclusion can be obtained that the beam flange thickness is suggested to be chosen as the outer diaphragm thickness. The forms of three different proposed joints and their design conceptions can provide good guidance for designers and engineers.

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A review on application of composite truss bridges composed of hollow structural section members

Cited by 32 publications

References 17 publications

A Novel Hybrid Model Based on a Feedforward Neural Network and One Step Secant Algorithm for Prediction of Load-Bearing Capacity of Rectangular Concrete-Filled Steel Tube Columns

A Novel Hybrid Model Based on a Feedforward Neural Network and One Step Secant Algorithm for Prediction of Load-Bearing Capacity of Rectangular Concrete-Filled Steel Tube Columns

Testing and Analysis of Concrete-Filled Square Hollow Section Stub Columns with Perfobond Leister Rib

Test and Numerical Study on Monotonic Behavior of Complex CFT Column Joints

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