scholarly journals A fast fuzzy finite element approach for laterally loaded pile in layered soils

2018 ◽  
Vol 12 (3) ◽  
pp. 1-9
Author(s):  
Pham Hoang Anh
Keyword(s):  
Finite Element ◽  
Soil Parameters ◽  
Fe Model ◽  
Finite Element Approach ◽  
Fuzzy Variables ◽  
Laterally Loaded Pile ◽  
Element Approach ◽  
Fuzzy Finite Element ◽  
Extreme Responses ◽  
Laterally Loaded

A fuzzy finite element approach for static analysis of laterally loaded pile in multi-layer soil with uncertain properties is presented. The finite element (FE) formulation is established using a beam-on-two-parameter foundation model. Based on the developed FE model, uncertainty propagation of the soil parameters to the pile response is evaluated by mean of the α-cut strategy combined with a response surface based optimization technique. First order Taylor's expansion representing the pile responses is used to find the binary combinations of the fuzzy variables that result in extreme responses at an α-level. The exact values of the extreme responses are then determined by direct FE analysis at the found binary combinations of the fuzzy variables. The proposed approach is shown to be accurate and computationally efficient. Article history: Received 05 October 2017, Revised 05 March 2018, Accepted 27 April 2018

Probability of serviceability failure in a braced excavation in a spatially random field: Fuzzy finite element approach

2011 ◽  
Vol 38 (8) ◽  
pp. 1031-1040 ◽  
Author(s):  
Zhe Luo ◽  
Sez Atamturktur ◽  
C. Hsein Juang ◽  
Hongwei Huang ◽  
Ping-Sien Lin
Keyword(s):  
Finite Element ◽  
Random Field ◽  
Braced Excavation ◽  
Finite Element Approach ◽  
Element Approach ◽  
Fuzzy Finite Element

scholarly journals Microstructural Modeling of Rheological Mechanical Response for Asphalt Mixture Using an Image-Based Finite Element Approach

Materials ◽  
2019 ◽  
Vol 12 (13) ◽  
pp. 2041 ◽  
Author(s):  
Wenke Huang ◽  
Hao Wang ◽  
Yingmei Yin ◽  
Xiaoning Zhang ◽  
Jie Yuan
Keyword(s):  
Finite Element ◽  
Mechanical Response ◽  
Micromechanical Model ◽  
Asphalt Mixture ◽  
Simulation Software ◽  
Fe Model ◽  
Finite Element Approach ◽  
X Ray ◽  
Element Approach ◽  
Asphalt Mortar

In this paper, an image-based micromechanical model for an asphalt mixture’s rheological mechanical response is introduced. Detailed information on finite element (FE) modeling based on X-ray computed tomography (X-ray CT) is presented. An improved morphological multiscale algorithm was developed to segment the adhesive coarse aggregate images. A classification method to recognize the different classifications of the elemental area for a confining pressure purpose is proposed in this study. Then, the numerical viscoelastic constitutive formulation of asphalt mortar in an FE code was implemented using the simulation software ABAQUS user material subroutine (UMAT). To avoid complex experiments in determining the time-dependent Poisson’s ratio directly, numerous attempts were made to indirectly obtain all material properties in the viscoelastic constitutive model. Finally, the image-based FE model incorporated with the viscoelastic asphalt mortar phase and elastic aggregates was used for triaxial compressive test simulations, and a triaxial creep experiment under different working conditions was conducted to identify and validate the proposed finite element approach. The numerical simulation and experimental results indicate that the three-dimensional microstructural numerical model established can effectively analyze the material’s rheological mechanical response under the effect of triaxial load within the linear viscoelastic range.

Fuzzy Finite Element Applications in the Waste Heat Boiler

2012 ◽  
Vol 215-216 ◽  
pp. 1180-1185
Author(s):  
Chao Li ◽  
Chang Hong Liu ◽  
Xin Chuan Qin ◽  
Yong Tai Li
Keyword(s):  
Finite Element ◽  
Waste Heat ◽  
Element Model ◽  
Engineering Problem ◽  
Waste Heat Boiler ◽  
Fuzzy Analysis ◽  
Fuzzy Variables ◽  
Fuzzy Finite Element ◽  
Α Level ◽  
Extreme Responses

A practical approach for analyzing the waste heat boiler with fuzzy parameters is developed. The methodology involves integrated finite element modeling and fuzzy analysis. The uncertainties in the material, loading and structural properties are represented using convex normal fuzzy sets. Vertex solution methodology that is based on α-cut representation is used for the fuzzy analysis. The values of the extreme responses at an α-level are obtained by applying the binary combinations of the fuzzy variables that result in extreme responses to the finite element model. The merit of the proposed methodology is computational efficiency without compromise on accuracy and this is demonstrated through the engineering problem.

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