悬臂梁大变形的新型优化方法

提出了关于优化几何非线性悬臂梁大变形的一种新算法。此方法不同于以往的方法,它直接采用平衡状态,将梁段划分为有限的小变形进行了分析,找出各部分平衡,整体平衡的节点是通过累积形成的。以平衡点坐标为设计变量,平衡点误差累积为优化问题的目标函数,形成一个优化问题。通过实例分析悬臂梁自由的负荷集中力的计算,并使用ANSYS有限元方法进行了对比,结果表明研究方法的准确性。新的优化方法将用于几何非线性大变形问题的分析。     

Combinatorial Optimization Based Analog Circuit Fault Diagnosis with Back Propagation Neural Network

Electronic components＇ reliability has become the key of the complex system mission execution. Analog circuit is an important part of electronic components. Its fault diagnosis is far more challenging than that of digital circuit. Simulations and applications have shown that the methods based on BP neural network are effective in analog circuit fault diagnosis. Aiming at the tolerance of analog circuit,a combinatorial optimization diagnosis scheme was proposed with back propagation（ BP） neural network（ BPNN）.The main contributions of this scheme included two parts：（ 1） the random tolerance samples were added into the nominal training samples to establish new training samples,which were used to train the BP neural network based diagnosis model;（ 2） the initial weights of the BP neural network were optimized by genetic algorithm（ GA） to avoid local minima,and the BP neural network was tuned with Levenberg-Marquardt algorithm（ LMA） in the local solution space to look for the optimum solution or approximate optimal solutions. The experimental results show preliminarily that the scheme substantially improves the whole learning process approximation and generalization ability,and effectively promotes analog circuit fault diagnosis performance based on BPNN.     

计算机测温技术在大体积混凝土施工中的应用

本文以某工程筏板基础混凝土为例,分析了大体积混凝土一次浇灌的可行性;重点介绍计算机测温技术在该工程中的成功应用,解决了测温自动化问题,为信息化施工提供了一个良好手段。