Neural Network-Based Structural Reliability Sensitivity Analysis

The safety of engineering structures is one of the major objectives of structure design. In the practical engineering structures, uncertain factor is existed universally, such as loading and structural parameters, and which lead to the appearance of random structure system with random parameters. The reliability study of random structure system is very important for design purposes, because which could help the designer to establish acceptable tolerances on structures and govern the fluctuations of the system parameters for safe operations. In the end, the reasonable structure could be designed with enough reliability and little cost.Reliability (optimize) technology has been applying into each field of the mechanical engineering at present, and even the field of structure design intensity and lifespan analysis, select material (the select of component and heat treatment technology etc) and failure analysis etc, obviously, the most optimally reliability problem of the production will touch the using of resource and energy sources in reason. Because the most optimally reliability design could get the production, which have the smaller volume, the lighter weight, the little material consume, the little working man-hour and reasonable reliability. When the reliability analysis of mechanical components is done, the influence degree of the mechanical part failure by each factor is different, so it has a very important significance on the reliability sensitivity analysis of mechanical part. Reliability sensitivity analysis of mechanical part has the important application in the aspects of the reliability design and maintain, reliability optimize design, reliability maintenance etc. If some factor has more influence to mechanical components failure, then it should be controlled severely in the process of the design and manufacture to make it change smaller,...