We show that the failure time τ f in fiber bundle model, taken as a prototype of heterogeneous materials, depends crucially on the strength of the disorder δ and the stress release range R in the system. For R beyond a critical value Rc the distribution of τ f follows Weibull form. In this region, the average τ f shows the variation τ f ∼ L α where L is the system size. For R < Rc, τ f ∼ L/R. We find that the crossover length scale has the scaling form Rc ∼ L 1−α . This scaling has been found to be valid for various disorder distributions. For δ < δc, α is an increasing function of δ. For all δ ≥ δc, α=1/3.In amorphous and heterogeneous materials, crack growth involves complex interplay of micro-crack nucleation, growth and coalescence [1]. In these materials the process of fracture exhibits typically the following three stages: (i) initiation and formation of the micro cracks at soft points of the sample, (ii) coalescence of the micro-cracks and (iii) the propagation of the as-formed cracks [2]. When there are no large cracks, the breaking takes place randomly throughout the body, independent of each other, similar to what happens in a percolation process. When the micro-crack density becomes large, they coalesce and form an initial crack. At this point, the micro-cracks tend to form in the vicinity of the crack tip (determined by the stress concentration and disorder). The large crack then grows (like that in a nucleation process) and the density of micro-cracks in the sample starts decreasing as more and more micro-cracks join the large crack. Recent studies have paid lots of attention on when the fracture will be percolating type and when it will be of nucleating type [3,4]. While these steps eventually leads to fracture, each of them takes finite time to complete, the estimates of which are crucial regarding the stability and safety of a disordered sample.The time to fracture, τ f , at a particular load, is an outcome of this spatial and temporal micro cracking dynamics mentioned above. It is defined to be the time taken for the system to fracture under a certain loading condition. It is very important from the point of view of understanding failure of a specimen and engineering design and reliability [5][6][7][8][9][10]. Many models have been proposed to predict the failure time [9,[11][12][13][14][15][16]. However most models and studies are concerned with the dependence of τ f on applied load or on the macroscopic parameters like temperature, pressure, considering the crack growth as an activation process [10,13]. The understanding of the failure time from the microscopic fracture dynamics, specially in heterogeneous materials, has remained unclear [17,18].Time to failure of a mechanical system consisting of parallel members have been studied in the past [19,20]. These studies mostly has the order statistics of the failure time distribution for a single member. Damage evo-lution and time to failure have been investigated in a model where the damage formation is a stochastic event with the probability of f...