结构强度储备的评估及结构维修过程的跟踪决策

本文提出了已建成结构在服役过程中构件的强度储备比和结构整体的强度储备比的概念和定义,它们都是随结构使用和维修过程而变化的时间的函数。我们建议以实际的强度储备比作为构件和结构服役安全度的表达方式,给出了构件和结构强度储备比的具体评定方法,并以结构整体的强度储备比作为控制参数决策结构的维修过程,以求得结构全寿命维修的优化控制。本文所提出的方法适用于具有良好的结构重分析程序和精密细致的检测手段的工程。一般重要的结构工程,例如核电站、海上结构、航空航天设备等均具备上述条件。因而本文所提的方法非常实用,可以立即应用于重要的工程项目,具有重大的经济和社会效益。     

章江水闸安全论证

结合江西赣州章江水闸安全鉴定工作,阐明了水闸安全鉴定基本内容和方法,并参照有关规范和标准作出了安全分析评价.     

钢筋混凝土烟囱有井架整体爬模施工技术

本文主要 根 据三 明 钢铁 厂130m~2 烧 结机 改造 工 程 60m 和 100m 烟 囱 的施 工实 例 ,详 细介 绍 了钢 筋 混凝 土烟 囱 有井架 整 体爬 模的 施 工新 方 法,并 取 得了 良好 的 效果 。     

数据挖掘技术在大坝安全决策支持系统中的应用

数据挖掘技术是一个新兴的，具有广阔应用前景和极富挑战性的研究领域。在充分研究大坝安全决策支持系统的基础上，结合数据挖掘技术的概念与方法等，对数据挖掘技术在大坝安全决策支持系统中的应用进行论述，与此同时，运用数据挖掘技术分析了某大坝垂直位移测值突变的物理成因。     

深基坑施工安全的监测与实例

从明确深基坑施工安全监测的关键出发，确定了监测内容和相关极限报警值，用工程实例进行了阐述。     

电子电气设备的熔断器、断路器保护

熔断器、断路器是电子电气设备最常用的保护电器,熔断器可以实现过载、短路保护,断路器除具上述功能外,还能实行失压保护.根据线路特点和所保护的设备,采取相应的保护设施,确保用电安全.     

土质边坡稳定分析中条分法与有限元法的比较

对比分析了土质边坡稳定性计算中条分法和有限元法的特点，讨论了在有限元法中边坡稳定系数的计算方法，并针对铜钟水电站库区左岸滑坡分别采用条分法和有限元法研究其稳定性，计算结果表明两种计算方法得到的滑坡稳定系数规律相同，但条分法计算值一般大于有限元值，反映出条分法中部分基本假设与实际情况存在一定差异。     

含腐蚀凹坑尿素合成塔的安全评定与分析

对尿素合成塔上封头腐蚀凹坑采用中国SAPV-95和美国API579规范分别进行安全评定，给出安全裕度，简略分析安全评定的结果。     

Bridge design with reserve and residual reliability constraints

System reliability is evolving as an important design method for selecting components and topology. It should be used to investigate the original intact structure behavior as well as providing sufficient reserve capacity under likely accident and damage scenarios. Highway bridges are an area of special concern since effort to optimize the cost of construction may not provide adequate redundant capacity. The paper describes an example in which a typical girder bridge structure is optimized (both size and girder spacing) to achieve target system performance. System reliability constraints are imposed on the behavior of the intact structure under highway loads. Also, residual system reliability constraints are imposed to control safety under specified accident scenarios corresponding to damage and “lost” members due to corrosion, fatigue, fire or accidental collisions. An optimal design framework for controlling safety under all these life cycle situations is thus provided.     

Surveillance test policy optimization through genetic algorithms using non-periodic intervention frequencies and considering seasonal constraints

In order to maximize systems average availability during a given period of time, it has recently been developed a non-periodic surveillance test optimization methodology based on genetic algorithms (GA). The fact of allowing non-periodic tests turns the solution space much more flexible and schedules can be better adjusted, providing gains in the overall system average availability, when compared to those obtained by an optimized periodic test scheme. This approach, however, turns the optimization problem more complex. Hence, the use of a powerful optimization technique, such as GA, is required.Considering that some particular features of certain systems can turn it advisable to introduce other specific constraints in the optimization problem, this work investigates the application of seasonal constraints for the set of the Emergency Diesel Generation of a typical four-loop pressurized water reactor in order to planning and optimizing its surveillance test policy. In this analysis, the growth of the blackout accident probability during summer, due to electrical power demand increases, was considered. Here, the used model penalizes surveillance test interventions when the blackout probability is higher.Results demonstrate the ability of the method in adapting the surveillance test policy to seasonal constraints. The knowledge acquired by the GA during the searching process has lead to test schedules that drastically minimize test interventions at periods of high blackout probability. It is compensated by more frequent redistributed tests through the periods of low blackout probability in order to improve on the overall average availability at the system level.