scholarly journals State of the art on the maximum strength of masonry infilled frames

2017 ◽  
Vol 24 (3) ◽  
pp. 900-909
Author(s):  
M. Mohammadi
2018 ◽  
Vol 14 (2) ◽  
pp. 221-237 ◽  
Author(s):  
Farhad Akhoundi ◽  
Graça Vasconcelos ◽  
Paulo Lourenço

2020 ◽  
Vol 32 ◽  
pp. 101683
Author(s):  
Mohammad Yekrangnia ◽  
Panagiotis G. Asteris

Author(s):  
Cheng-Yo Chen ◽  
Trevor Mills

This paper reviews the current practice for the in-place design of Spar hulls. Both the commonly-used approach and the state-of-the-art procedure for the maximum strength and fatigue conditions will be presented. Key assumptions for various design approaches will be discussed along with advantages and disadvantages of each approach. The review will focus on how each approach generates hydrodynamic loadings, performs global motions analysis, and maps design loads from motion analyses to structural finite-element model. Important aspects relating to Spar design will be addressed. In particular, effect of vortex induced hull motions (VIM) will be discussed, and an approach for including the VIM effect in the design of moorings and risers will also be described. Impact on the maximum strength and fatigue capacity of critical structural components due to the assumptions employed in the commonly-used design approach will be evaluated and quantified as compared to the results from the more rigorous state-of-the-art approach.


Buildings ◽  
2019 ◽  
Vol 9 (5) ◽  
pp. 121 ◽  
Author(s):  
Tanja Kalman Šipoš ◽  
Kristina Strukar

In order to test the reliability of neural networks for the prediction of the behaviour of multi-storey multi-bay infilled frames, neural network processing was done on an experimental database of one-storey one-bay reinforced-concrete (RC) frames with masonry infills. From the obtained results it is demonstrated that they are acceptable for the prediction of base shear (BS) and inter-storey drift ratios (IDR) in characteristic points of the primary curve of infilled frame behaviour under seismic loads. The results obtained on one-storey one-bay infilled frames was extended to multi-bay infilled frames by evaluating and comparing numerical finite element modelling(FEM) modelling and neural network results with suggested approximating equations for the definition of bilinear capacity by defined BS and IDRs. The main goal of this paper is to offer an interpretation of the behaviour of multi-storey multi-bay masonry infilled frames according to a bilinear capacity curve, and to present the infilled frame’s response according to the contributions of frame and infill. The presented methodology is validated by experimental results from multi-storey multi-bay masonry infilled frames.


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