We study the sample-size dependence of the strength of disordered materials with a flaw, by numerical simulations of lattice models for fracture. We find a crossover between a regime controlled by the disorder and another controlled by stress concentrations, ruled by continuum fracture mechanics. The results are formulated in terms of a scaling law involving a statistical fracture process zone. Its existence and scaling properties are revealed only by sampling over many configurations of the disorder. The scaling law is in good agreement with experimental results obtained from notched paper sample
We analyze statistical and scaling properties of the fracture of two-dimensional (2D) central-force ...
We analyze statistical and scaling properties of the fracture of two-dimensional (2D) central-force ...
The dissertation analyses the scale effects on the tensile strength of materials. By the term scale...
We study the sample-size dependence of the strength of disordered materials with a flaw, by numerica...
We study the sample-size dependence of the strength of disordered materials with a flaw, by numerica...
We study the sample-size dependence of the strength of disordered materials with a flaw, by numerica...
We study the sample-size dependence of the strength of disordered materials with a flaw, by numerica...
We study size effects in the fracture strength of notched quasi-brittle materials using numerical si...
We review statistical theories and numerical methods employed to consider the sample size dependence...
This paper presents two main results. The first result indicates that in materials with broadly dist...
We present simulation results on fracture and random damage percolation in disordered two-dimensiona...
We present simulation results on fracture and random damage percolation in disordered two-dimensiona...
We present simulation results on fracture and random damage percolation in disordered two-dimensiona...
We present simulation results on fracture and random damage percolation in disordered two-dimensiona...
Disorder and long-range interactions are two of the key components that make material failure an int...
We analyze statistical and scaling properties of the fracture of two-dimensional (2D) central-force ...
We analyze statistical and scaling properties of the fracture of two-dimensional (2D) central-force ...
The dissertation analyses the scale effects on the tensile strength of materials. By the term scale...
We study the sample-size dependence of the strength of disordered materials with a flaw, by numerica...
We study the sample-size dependence of the strength of disordered materials with a flaw, by numerica...
We study the sample-size dependence of the strength of disordered materials with a flaw, by numerica...
We study the sample-size dependence of the strength of disordered materials with a flaw, by numerica...
We study size effects in the fracture strength of notched quasi-brittle materials using numerical si...
We review statistical theories and numerical methods employed to consider the sample size dependence...
This paper presents two main results. The first result indicates that in materials with broadly dist...
We present simulation results on fracture and random damage percolation in disordered two-dimensiona...
We present simulation results on fracture and random damage percolation in disordered two-dimensiona...
We present simulation results on fracture and random damage percolation in disordered two-dimensiona...
We present simulation results on fracture and random damage percolation in disordered two-dimensiona...
Disorder and long-range interactions are two of the key components that make material failure an int...
We analyze statistical and scaling properties of the fracture of two-dimensional (2D) central-force ...
We analyze statistical and scaling properties of the fracture of two-dimensional (2D) central-force ...
The dissertation analyses the scale effects on the tensile strength of materials. By the term scale...