通过提高混凝土材料的阻尼比,有效地改善混凝土结构自身的阻尼性能,从材料的角度出发实现结构高阻尼化已成为一种新的结构振动控制方法。根据结构动力学原理,分析了提高系统阻尼比在结构发生共振时,对降低结构振动响应的有效性;利用有限元软件AN SY S模拟了普通混凝土结构、局部高阻尼混凝土结构以及整体高阻尼混凝土结构的动力响应,主要包括模态分析和谐响应分析,并对3种不同组成材料的结构响应结果进行比较。有限元分析表明:高阻尼混凝土结构的动力特性较普通混凝土结构有了显著的改善,而且当高阻尼混凝土仅用于结构的柱中时,其改善效果与整体结构都与使用高阻尼混凝土的效果比较接近。这对研究结构局部高阻尼化,降低结构在地震等动荷载作用下的响应有参考价值。 相似文献
Objective: The present research relies on 2 main objectives. The first is to investigate whether latent model analysis through a structural equation model can be implemented on driving simulator data in order to define an unobserved driving performance variable. Subsequently, the second objective is to investigate and quantify the effect of several risk factors including distraction sources, driver characteristics, and road and traffic environment on the overall driving performance and not in independent driving performance measures.
Methods: For the scope of the present research, 95 participants from all age groups were asked to drive under different types of distraction (conversation with passenger, cell phone use) in urban and rural road environments with low and high traffic volume in a driving simulator experiment. Then, in the framework of the statistical analysis, a correlation table is presented investigating any of a broad class of statistical relationships between driving simulator measures and a structural equation model is developed in which overall driving performance is estimated as a latent variable based on several individual driving simulator measures.
Results: Results confirm the suitability of the structural equation model and indicate that the selection of the specific performance measures that define overall performance should be guided by a rule of representativeness between the selected variables. Moreover, results indicate that conversation with the passenger was not found to have a statistically significant effect, indicating that drivers do not change their performance while conversing with a passenger compared to undistracted driving. On the other hand, results support the hypothesis that cell phone use has a negative effect on driving performance. Furthermore, regarding driver characteristics, age, gender, and experience all have a significant effect on driving performance, indicating that driver-related characteristics play the most crucial role in overall driving performance.
Conclusions: The findings of this study allow a new approach to the investigation of driving behavior in driving simulator experiments and in general. By the successful implementation of the structural equation model, driving behavior can be assessed in terms of overall performance and not through individual performance measures, which allows an important scientific step forward from piecemeal analyses to a sound combined analysis of the interrelationship between several risk factors and overall driving performance. 相似文献