Reliability analysis on civil engineering project based on integrated adaptive simulation annealing and gray correlation method
Dynamic reliability is a very important issue in reliability research. The dynamic reliability analysis for the project is still in search of domestic and international research in the exploration stage. By now, dynamic reliability research mainly concentrates on the reliability assessment; the meth...
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| Veröffentlicht in: | Frontiers of Structural and Civil Engineering 2016-12, Vol.10 (4), p.462-471 |
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| creator | Bai, Xiao-ping Liu, Ya-nan |
| description | Dynamic reliability is a very important issue in reliability research. The dynamic reliability analysis for the project is still in search of domestic and international research in the exploration stage. By now, dynamic reliability research mainly concentrates on the reliability assessment; the methods mainly include dynamic fault tree, extension of event sequence diagram and Monte Carlo simulation, and et al. The paper aims to research the dynamic reliability optimization. On the basis of analysis of the four quality influence factors in the construction engineering, a method based on gray correlation degree is employed to calculate the weights of factors affecting construction process quality. Then the weights are added into the reliability improvement feasible index （RIFI）. Furthermore, a novel nonlinear programming mathematic optimization model is established. In the Insight software environment, the Adaptive Simulated Annealing （ASA） algorithm is used to get a more accurate construction subsystem optimal reliability under different RIFI conditions. In addition, the relationship between construction quality and construction system reliability is analyzed, the proposed methods and detailed processing can offer a useful reference for improving the construction system quality level. |
| doi_str_mv | 10.1007/s11709-016-0361-y |
| format | Article |
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The dynamic reliability analysis for the project is still in search of domestic and international research in the exploration stage. By now, dynamic reliability research mainly concentrates on the reliability assessment; the methods mainly include dynamic fault tree, extension of event sequence diagram and Monte Carlo simulation, and et al. The paper aims to research the dynamic reliability optimization. On the basis of analysis of the four quality influence factors in the construction engineering, a method based on gray correlation degree is employed to calculate the weights of factors affecting construction process quality. Then the weights are added into the reliability improvement feasible index （RIFI）. Furthermore, a novel nonlinear programming mathematic optimization model is established. In the Insight software environment, the Adaptive Simulated Annealing （ASA） algorithm is used to get a more accurate construction subsystem optimal reliability under different RIFI conditions. 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Struct. Civ. Eng</addtitle><addtitle>Frontiers of Structural and Civil Engineering</addtitle><description>Dynamic reliability is a very important issue in reliability research. The dynamic reliability analysis for the project is still in search of domestic and international research in the exploration stage. By now, dynamic reliability research mainly concentrates on the reliability assessment; the methods mainly include dynamic fault tree, extension of event sequence diagram and Monte Carlo simulation, and et al. The paper aims to research the dynamic reliability optimization. On the basis of analysis of the four quality influence factors in the construction engineering, a method based on gray correlation degree is employed to calculate the weights of factors affecting construction process quality. Then the weights are added into the reliability improvement feasible index （RIFI）. Furthermore, a novel nonlinear programming mathematic optimization model is established. 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| subjects | Algorithms Cities Civil Engineering Computer simulation Construction Construction engineering Countries Engineering Fault trees Monte Carlo simulation Nonlinear programming Optimization Quality Regions Reliability analysis Reliability aspects Reliability engineering Research Article Simulated annealing Subsystems System reliability 动态可靠性分析 可靠性优化 土木工程 灰色关联度法 灰色关联法 自适应模拟退火算法 蒙特卡洛仿真 质量影响因素 |
| title | Reliability analysis on civil engineering project based on integrated adaptive simulation annealing and gray correlation method |
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