Parallel simulation algorithm for maintenance optimization based on directed Acyclic Graph

QRA of accidental events initiated by leaks causing a fire in process industries

“…One example of the TOP event to be analyzed is shown in Figure 2. The TOP event which in real emergency dangerous situation may be an event causing the ICFE (resulting in fatality) is demonstrated by the use of a DAG, originally described in [3]. A graph is composed of nodes and edges that are numbered.…”

“…Table 2 brings failure rates of all events occurring in Table 1 together with their given probabilities. Using the methodology for high-performance computing described in [3], the time evolution of the probability of ICFE (causing fatality) can be computed.…”

“…Exact quantification procedure for probability of TOP event was developed in [4] displaying very high computational efficiency, as demonstrated in the reference. Original algorithm from [3] based on DAG was radically innovated. The innovative algorithm uses merits of the high-performance language for technical computing -MATLAB.…”

Development and application of a living probabilistic safety assessment tool: Multi-objective multi-dimensional optimization of surveillance requirements in NPPs considering their ageing

“…A general approach for optimizing the test schedules of a standby system, based on a gradient algorithm with variable metric, is proposed in [25]. In [26] the author proposed a parallel simulation algorithm for T&M optimization based on directed Acyclic Graph. The proposed parallel simulation algorithm, originally based on the direct Monte Carlo method, enables an efficient reliability analysis including also the solution of the cost-optimization problem of a common multi-component system consisting of various components subject to different models of stochastic and deterministic processes.…”

“…[7][8][9][10][16][17][18][19][20][21][22][23][24][25][26][28][29][30][31][32][33][34][35] does not consider component ageing. Activities connected with the age-dependent PSA of NPP include: collected and evaluated data for the age-related degradation of U.S. NPP [36], modelling of ageing of passive systems, structures and components by incorporating a flow accelerated corrosion model into PSA [37], consideration and quantification of the ageing-induced risk using PSA and component ageing models [38], a procedure for transformation of PSA to age-dependent evaluation [39][40][41], a derivation of the linear ageing model and extension to nonlinear and dependent ageing phenomena [42], ageing-related failure analysis of the nuclear power plant operational data [43,44], the impact of the component ageing on the steam generator tubes reliability and consequently NPP safety [45][46][47], risk-based lifetime optimization of a steam generator whose tubing is severely affected by the stress corrosion cracking [48].…”