PERMAS-RA/STRUREL system of programs for probabilistic reliability analysis

Programs for reliability analysis of structural, operational and other systems based on first- and second-order reliability concepts were made available as early as 1976 by the Technical University of Munich. In the meantime and since 1987 by RCP Consult GmbH (RCP) the programs have experienced many revisions, improvements and additional developments. The programs now cover the preparatory steps as well as the computational tasks in technical reliability, decision making under uncertainty and in statistical analysis. Important modules of strurel have also been embedded in the finite element program permas developed and maintained by INTES GmbH (INTES). The programs have been used in structural engineering and code making, in hydrology, operations research, financial planning and mathematical statistics and, in particular, in the nuclear power plant, offshore, ship, automotive and aerospace industry.     

蒙特卡洛方法在岩土工程可靠性分析中的应用

在目前的结构可靠度分析方法中,蒙特卡洛(Monte-Carlo)方法被认为是一种相对精确法。本文详细介绍了蒙特卡洛方法的电算过程,并举例对该方法的应用进行了演算。     

高空作业机械液压系统组成功能特点及可靠性分析

高空作业机械性能的好坏,关键在于液压系统。本文着重对高空作业机械液压系统功能特点进行分析;论述了如何提高高空作业机械稳定性及安全性措施;展望了高空作业机械液压系统发展的动向。     

Event oriented analysis of series structural systems

The event oriented analysis of technical objects is in general accomplished by representing them as complete or incomplete systems and subsystems of events. It is argued in the article how the compound engineering systems of events can be partitioned by inclusion-exclusion expansion into individual and common cause modes. The event analysis is based on the random variable model and employs the results of operational modes and effect analysis, of the reliability analysis and of the uncertainty analysis. The system redundancy and robustness are considered as uncertainties, due to the fact that really a number of events are possible, expressed by the entropy concept in probability theory, conditioned by operational and failure modes, respectively. Relative and average uncertainty measures are introduced to facilitate uncertainty interpretations in engineering problems. It is investigated how the sensitivity analysis of reliability measures can be applied to the assessments of system uncertainties. Numerical examples presented in the article illustrate the application of event oriented system analysis to series structural systems with common cause failures. Additionally, system performance presentation and optimization with constraints, as well as potential improvements in system analysis, design and maintenance are investigated.