基于模糊神经网络的密肋壁板结构安全可靠性评价方法研究  

RESEARCH ON SAFETY ASSESSMENT OF MULTI-RIBBED WALL SLAB STRUCTURE BASED ON FUZZY-NEURAL NETWORK

作　　者：姚谦峰[1] 张奇[1] 

机构地区：[1]西安建筑科技大学土木工程学院,西安710055

出　　处：《工业建筑》2010年第1期35-38,共4页Industrial Construction

基　　金：国家自然科学基金资助项目(50578011);陕西省自然科学基金资助项目(陕科[2004]68号)

摘　　要：随着密肋壁板结构的大量推广,对密肋壁板结构在服役阶段的安全可靠性进行综合评价,为结构的改建、扩建以及加固、维修提供依据,具有重要现实意义。基于模糊神经网络的结构安全可靠性评价方法的基本理论和评价过程,利用改进的模糊神经网络模型对密肋壁板结构进行安全可靠性评价。工程实例分析结果表明,利用该方法进行密肋壁板结构安全可靠性评价是合理、科学的。With a wide use of multi-fibbed wall slab structure, it is very important to evaluate the reliability of inservice multi-ribbed wall slab structure, which can provide a scientific basis for expansion and reform of structures. The fundamental theory and assessment method on safety assessment of structures based on fuzzy-neural net work are researched in the paper. Which can evaluate the reliability of a real multi-ribbed Wall slab structure by the improved model founded on fuzzy-neural network. The results indicate that the proposed means is viable and reasonable.

关 键 词：密肋壁板结构 模糊神经网络 安全可靠性 

分 类 号：TU311.2[建筑科学—结构工程] TU399