Heterogeneous upper-bound finite element limit analysis of masonry walls out-of-plane loaded

2007 ◽  
Vol 40 (6) ◽  
pp. 911-931 ◽  
Author(s):  
G. Milani ◽  
F. A. Zuccarello ◽  
R. S. Olivito ◽  
A. Tralli
Meccanica ◽  
2017 ◽  
Vol 53 (7) ◽  
pp. 1875-1898 ◽  
Author(s):  
Andrea Chiozzi ◽  
Gabriele Milani ◽  
Nicola Grillanda ◽  
Antonio Tralli

2021 ◽  
Vol 8 (1) ◽  
pp. 130-136
Author(s):  
Roberto Spagnuolo

Abstract The stability check of masonry structures is a debated problem in Italy that poses serious problems for its extensive use. Indeed, the danger of out of plane collapse of masonry walls, which is one of the more challenging to evaluate, is traditionally addressed not using finite element models (FEM). The power of FEM is not properly used and some simplified method are preferred. In this paper the use of the thrust surface is suggested. This concept allows to to evaluate the eccentricity of the membrane stresses using the FEM method. For this purpose a sophisticated, layered, finite element with a no-tension material is used. To model a no-tension material we used the smeared crack method as it is not mesh-dependent and it is well known since the early ’80 in an ASCE Report [1]. The described element has been implemented by the author in the program Nòlian by Softing.


2020 ◽  
Vol 10 (6) ◽  
pp. 2012
Author(s):  
An-Jui Li ◽  
Abdoulie Fatty ◽  
I-Tung Yang

Generally, in geotechnical engineering, back analyses are used to investigate uncertain parameters. Back analyses can be undertaken by considering known conditions, such as failure surfaces, displacements, and structural performances. Many geotechnical problems have irregular solution domains, with the objective function being non-convex, and may not be continuous functions. As such, a complex non-linear optimization function is typically required for most geotechnical problems to attain a better understanding of these uncertainties. Therefore, particle swarm optimization (PSO) and a genetic algorithm (GA) are utilized in this study to facilitate in back analyses mainly based on upper bound finite element limit analysis method. These approaches are part of evolutionary computation, which is appropriate for solving non-linear global optimization problems. By using these techniques with upper-bound finite element limit analysis (UB-FELA), two case studies showed that the results obtained are reasonable and reliable while maintaining a balance between computational time and accuracy.


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