A numerical investigation on the load carrying capacity of a laminated glass beam modelled as a material with a random strength distribution is presented. The strength values were distributed randomly within the beam by a Monte Carlo simulation, according to statistical distributions calibrated on experimental results obtained from literature. A preliminary computational analysis based on the weakest link in the chain-model was conducted to study the dependence of the beam estimated limit load on the adopted discretization. Then, after determining the optimal size of the mesh, the elastic-plastic problem has been solved by a Rigid Body-Spring Model (RBSM) discrete approach. Finally, the variability of the load capacity of the structural element is evaluated as a function of the statistics of the strength related to the size of the defects. One thousand simulations were performed to obtain statistically significant quantitative results.
|Titolo:||Estimating laminated glass beam strength via stochastic Rigid Body-Spring Model|
|Data di pubblicazione:||2017|
|Appare nelle tipologie:||01.1 Articolo in Rivista|
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|cs-2017_biolzi-casolo-diana-sanjust.pdf||Articolo stampato||Publisher’s version||Accesso riservato|