On the basis of the statistical characteristics of fatigue cumulative damageand its critical value, a new dynamic interference model for reliability analysis is presented. Because the nonlinearity of fatigue damage ac...On the basis of the statistical characteristics of fatigue cumulative damageand its critical value, a new dynamic interference model for reliability analysis is presented. Because the nonlinearity of fatigue damage accumulation is taken into account,this model is able to predict the fatigue reliability for random spectrum loadingconveniently. To verify the predicted results, a special fatigue expenment, in which thenumber of specimen is up to 101, is conducted using a fighter spectrum loading. It isshown that the new model is reliable, practicable and better than existing models.展开更多
This paper develops an innovative approach to optimize a long-term rehabilitation and upgrading schedule (RUS) for a water distribution system with considering both hydraulic failure and mechanical performance failure...This paper develops an innovative approach to optimize a long-term rehabilitation and upgrading schedule (RUS) for a water distribution system with considering both hydraulic failure and mechanical performance failure circumstances. The proposed approach assesses hydraulic reliability dynamically and then optimizes the long-term RUS in sequence for a water distribution system. The uncertain hydraulic parameters are treated as random numbers in a stochastic hydraulic reliability assessment. The methodologies used for optimization in a stochastic environment are: Monte Carlo Simulation, EPANET Simulation, Genetic Algorithms, Shamir and Howard’s Exponential Model, Threshold Break Rate Model and Two-Stage Optimization Model. The proposed approach is conducted on a simulation model of water distribution network in a computer by two universal codes, namely the hydraulic reliability code and the optimal RUS code. The applicability of this approach is verified in an example of a benchmark water distribution network.展开更多
文摘On the basis of the statistical characteristics of fatigue cumulative damageand its critical value, a new dynamic interference model for reliability analysis is presented. Because the nonlinearity of fatigue damage accumulation is taken into account,this model is able to predict the fatigue reliability for random spectrum loadingconveniently. To verify the predicted results, a special fatigue expenment, in which thenumber of specimen is up to 101, is conducted using a fighter spectrum loading. It isshown that the new model is reliable, practicable and better than existing models.
文摘This paper develops an innovative approach to optimize a long-term rehabilitation and upgrading schedule (RUS) for a water distribution system with considering both hydraulic failure and mechanical performance failure circumstances. The proposed approach assesses hydraulic reliability dynamically and then optimizes the long-term RUS in sequence for a water distribution system. The uncertain hydraulic parameters are treated as random numbers in a stochastic hydraulic reliability assessment. The methodologies used for optimization in a stochastic environment are: Monte Carlo Simulation, EPANET Simulation, Genetic Algorithms, Shamir and Howard’s Exponential Model, Threshold Break Rate Model and Two-Stage Optimization Model. The proposed approach is conducted on a simulation model of water distribution network in a computer by two universal codes, namely the hydraulic reliability code and the optimal RUS code. The applicability of this approach is verified in an example of a benchmark water distribution network.
