REVIEW OF AVAILABLE APPROACHES FOR ULTIMATE BEARING CAPACITY OF TWO-LAYERED SOILS

This paper presents the state of the art report on available approaches to predicting the ultimate bearing capacity of two-layered soils. The article discusses three most popular methods, including the classical method, application of the finite element method and artificial neural network. Various approaches based on these three powerful tools are studied and their methodologies are discussed.

Download Full-text

Comparison of Analytical Solutions with Finite Element Solutions for Ultimate Bearing Capacity of Strip Footings

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.353-356.3294 ◽

2013 ◽

Vol 353-356 ◽

pp. 3294-3303

Author(s):

Zi Hang Dai ◽

Xiang Xu

Keyword(s):

Finite Element Method ◽

Finite Element ◽

Bearing Capacity ◽

Analytical Solutions ◽

Numerical Solutions ◽

Slip Surface ◽

Ultimate Bearing Capacity ◽

The Finite Element Method ◽

Strip Footings ◽

Element Method

The finite element method is used to compute the ultimate bearing capacity of a fictitious strip footing resting on the surface of c-φ weightless soils and a real strip footing buried in the c-φ soils with weight. In order to compare the numerical solutions with analytical solutions, the mainly existing analytical methods are briefly introduced and analyzed. To ensure the precision, most of analytical solutions are obtained by the corresponding formulas rather than table look-up. The first example shows that for c-φ weightless soil, the ABAQUS finite element solution is almost identical to the Prandtls closed solutions. Up to date, though no closed analytical solution is obtained for strip footings buried in c-φ soils with weight, the numerical approximate solutions obtained by the finite element method should be the closest to the real solutions. Apparently, the slip surface disclosed by the finite element method looks like Meyerhofs slip surface, but there are still some differences between the two. For example, the former having an upwarping curve may be another log spiral line, which begins from the water level of footing base to ground surface rather than a straight line like the latter. And the latter is more contractive than the former. Just because these reasons, Meyerhofs ultimate bearing capacity is lower than that of the numerical solution. Comparison between analytical and numerical solutions indicates that they have relatively large gaps. Therefore, finite element method can be a feasible and reliable method for computations of ultimate bearing capacity of practical strip footings.

Download Full-text

Simulation and Study on Ultimate Bearing Capacity of Stretcher Bracket for Aeromedical Evacuation

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.397-400.559 ◽

2013 ◽

Vol 397-400 ◽

pp. 559-563

Author(s):

Jun Lin Wan ◽

Kang Lv ◽

Qin Jian Mao ◽

Yuan Yuan Zhou ◽

Shan Shan Yang

Keyword(s):

Finite Element Method ◽

Finite Element ◽

Bearing Capacity ◽

Limit Load ◽

Ultimate Bearing Capacity ◽

Structure Design ◽

Civil Aviation ◽

The Finite Element Method ◽

Aeromedical Evacuation ◽

Security And Reliability

As the important airborne equipment of casualty aeromedical evacuation, the structure design of aeromedical evacuations stretcher bracket not only has to meet the mounting interface in the civil aviation aircraft and meet the medical rescue requirements during the casualty evacuation, and also has the good bearing capacity of limit load. A structure design of frame-type aeromedical evacuations stretcher bracket is presented in this paper. Based on the finite element method (FEM), the ultimate bearing capacity of the bracket attachment of this structure is analyzed with nonlinear mechanics, and then the intensity and stiffness under the case combinations of limit load are simulated and analyzed to ensure the good security and reliability of the stretcher bracket during the casualty aeromedical evacuation.

Download Full-text

Finite Element Analysis for Unstiffened Overlapped CHS K-Joints Welded in Different Ways

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.446-449.533 ◽

2012 ◽

Vol 446-449 ◽

pp. 533-536

Author(s):

Xiu Li Wang ◽

Peng Chen ◽

Wen Wei Yang

Keyword(s):

Finite Element Method ◽

Finite Element Analysis ◽

Finite Element ◽

Bearing Capacity ◽

Ultimate Bearing Capacity ◽

Ultimate Capacity ◽

The Finite Element Method ◽

Element Analysis ◽

Element Method

In this paper，the ultimate bearing capacity of unstifened overlapped CHS K-joints is investigated by using the finite element method with influence of weld and non-weld on joint ultimate capacity under brace different bearing capacity. with angle of chord and brace is increasing ultimate capacity to lowed more and more small，which hidden weld is non-weld by one brace is pulled and other is pressured. ultimate capacity no influence to hidden welded and non-welded by both brace is pulled.

Download Full-text

Localization of a harmonic excitation load in a bi-clamped beam using finite element method and artificial neural network

10.26678/abcm.cobem2019.cob2019-0629 ◽

2019 ◽

Author(s):

Otavio Duarte Zotelli Boaventura ◽

Daniel Henrique de Sousa Obata ◽

Matheus Proença ◽

Amarildo Tabone Paschoalini

Keyword(s):

Neural Network ◽

Finite Element Method ◽

Artificial Neural Network ◽

Finite Element ◽

Harmonic Excitation ◽

Artificial Neural ◽

Element Method

Download Full-text

The upper bound limit analysis of bearing capacity problems using the finite element method

Numerical Methods in Geotechnical Engineering ◽

10.1201/b10551-37 ◽

2010 ◽

pp. 209-214

Keyword(s):

Finite Element Method ◽

Finite Element ◽

Bearing Capacity ◽

Upper Bound ◽

Limit Analysis ◽

The Finite Element Method ◽

Upper Bound Limit Analysis ◽

Element Method

Download Full-text

Artificial Neural Network-Based Method for Seismic Analysis of Concrete-Filled Steel Tube Arch Bridges

Computational Intelligence and Neuroscience ◽

10.1155/2021/5581637 ◽

2021 ◽

Vol 2021 ◽

pp. 1-10

Author(s):

Zhen Liu ◽

Shibo Zhang

Keyword(s):

Neural Network ◽

Finite Element Method ◽

Artificial Neural Network ◽

Finite Element ◽

Seismic Analysis ◽

Steel Tube ◽

Arch Bridge ◽

Concrete Filled Steel Tube ◽

Cfst Arch Bridge ◽

Artificial Neural

Seismic analysis of concrete-filled steel tube (CFST) arch bridge based on finite element method is a time-consuming work. Especially when uncertainty of material and structural parameters are involved, the computational requirements may exceed the computational power of high performance computers. In this paper, a seismic analysis method of CFST arch bridge based on artificial neural network is presented. The ANN is trained by these seismic damage and corresponding sample parameters based on finite element analysis. In order to obtain more efficient training samples, a uniform design method is used to select sample parameters. By comparing the damage probabilities under different seismic intensities, it is found that the damage probabilities of the neural network method and the finite element method are basically the same. The method based on ANN can save a lot of computing time.

Download Full-text