真空辅助成型技术(一)

真空辅助成型技术（VARI-Vacuum Assisted Resin Infusion）在低成本复合材料（FRP）成型工艺中起着很重要的作用，本文将介绍它的特点、制造、性能以及在国内外应用情况。     

高压玻璃钢管道的研制及在油田中的应用

本文介绍了高压玻璃钢管道的特性及在我国油田的应用情况。     

The new structure of fibre glass reinforced plastics bolt

The develop actuality and direction of FRP (fibre glass reinforced plastics) bolt in the world are analyzed. The new type structure of FRP bolt was designed. Trial data indicate that, all kinds of capability target of this FRP bolt all achieve and exceed the country stand-ard, substitute present metal bolt, wood bolt and bamboo bolt and other side bolt, it can gain magnitude technology and economy benefit. FRP bolt mechanization product line produce ef-ficiency is high, its throughput a day are 750 base, this can meet demand of hit-small mining company.     

扩展有限递归进程模型

主要讨论离散事件动态系统的建模问题。由ＫＩｎａｎ和ＰＶａｒａｉｙａ提出的有限递归进程（ＦＲＰ）是描述并发离散事件动态系统的有力工具，但在其ＦＲＰ中，没有定义对数据变量的操作和条件转移算子。本文扩展ＦＲＰ包括这两方面内容。最后举例说明扩展ＦＲＰ的描述能力。     

玻璃钢缓弯弯头模具的设计和制作

本文详细叙述了φ２００×９０°玻璃钢弯头模具的设计和制作方法。     

用丝束电极研究混凝土中钢筋腐蚀的不均匀性

用8×8阵列丝束电极模拟研究了混凝土中钢筋的腐蚀.将混凝土试样浸泡在10 %NaCl溶液中,通过测量铁丝束电极的自腐蚀电位和极化电阻,获得了在相同埋置深度和不同埋置深度时,铁丝腐蚀的电位、极化电阻和腐蚀速度分布等信息,研究了混凝土结构和氯离子浓度对它们的影响.结果表明,混凝土中铁丝腐蚀不均匀.自腐蚀电位和极化电阻较分散,电位随时间负移、极化电阻变小,丝束之间的电位差增大.随铁丝埋入深度增加,电位负移量、氯离子浓度和腐蚀速度都减小、极化电阻增加     

浅谈出口巴基斯坦铁路客车新型酚醛玻璃钢风道的研制开发

本文阐述了新型酚醛玻璃钢风道的成型工艺、开发过程，并与传统玻璃钢风道作了比较，论述了新型酚醛玻璃钢风道的优点，并对其应用前景和对铁路客车的设计思路的影响进行了探讨。     

纤维增强塑料筋的性能与发展

本文详细介绍了纤维增强塑料筋（Fiber Reinforced Plastic Rebar，简称FRP筋）在国内外的发展概况及其基本物理力学性能，指出了目前的纤维增强塑料筋及其混凝土构件力学性能研究中存在的问题。     

降低玻璃钢产品的收缩及变形的实验研究

本文介绍了如何通过控制原材料的选用、玻璃钢产品的成型工艺、加入填料、模具结构设计来最大限度的减少铁路客车用玻璃钢(FRP)产品的收缩及变形。     

Development of bond strength model for FRP plates using back‐propagation algorithm

For the flexural reinforcement of bridge and building structure, synthetic materials whose dynamic properties are superior and those containing the merit of corrosion‐proof are widely used as the substitute for a steel plate. Since FRP plate has improved bond strength owing to the fibers externally adhering to the plate, many researches regarding the bond strength improvement have been substantially performed. To search out such bond strength improvement, previous researchers had ever examined the bond strength of FRP plate through their experiment by setting up many variables. However, since the experiment for a research on the bond strength takes much of expenditure for setting up the equipment and is time‐consuming, also is difficult to be carried out, it is limitedly conducted. The purpose of this study was to develop the most suitable artificial neural network model by application of various neural network models and algorithm to the data of the bond strength experiment conducted by previous researchers. Many variables were used as input layers against bond strength: depth, width, modulus of elasticity, tensile strength of FRP plate and the compressive strength, tensile strength, and width of concrete. The developed artificial neural network model has been applied back‐propagation, and its error was learned to be converged within the range of 0.001. Besides, the process for the over‐fitting problem has been dissolved by Bayesian technique. The verification on the developed model was executed by comparison with the test results of bond strength made by other previous researchers, which was never been utilized to the learning as yet. © 2006 Wiley Periodicals, Inc. J Appl Polym Sci 100: 5119–5127, 2006