首页> 外文期刊>Journal of vibration and control: JVC >Modal identification, model updating and nonlinear analysis of a reinforced concrete bridge
【24h】

Modal identification, model updating and nonlinear analysis of a reinforced concrete bridge

机译:钢筋混凝土桥梁的模态识别,模型更新和非线性分析

获取原文
获取原文并翻译 | 示例
           

摘要

This article proposes a rational methodology for the structural assessment of a reinforced concrete bridge in Tunisia. This methodology is based on ambient vibration measurement of the bridge, identification of its modal signature, finite element model updating and nonlinear analysis. The selected case study is an eight-span bridge with a continuous slab. Each span is simply supported at rubber bearings and has a length of 25 m. Because of the repetitive geometry of the bridge, ambient vibration tests were conducted on one span using a data acquisition system with nine force-balance accelerometers placed at selected locations. The Enhanced Frequency Domain Decomposition (EFDD) technique was applied to extract the dynamic characteristics of the bridge. A 3-D finite element model was developed and updated to obtain reasonable correlation between experimental and numerical modal properties. The parameter selected for the updating is the modulus of elasticity of the concrete in each concrete element of the finite element model. A decrease of its value indicates the possibility of damage or stiffness reduction. We demonstrate that using the EFDD technique in combination with model updating and nonlinear analysis provides valuable information for the evaluation of the bridge structural condition.
机译:本文为突尼斯钢筋混凝土桥梁的结构评估提出了一种合理的方法。该方法基于桥梁的环境振动测量,其模态特征的识别,有限元模型更新和非线性分析。所选案例研究是具有连续平板的八跨桥。每个跨度仅由橡胶轴承支撑,长度为25 m。由于桥的几何形状重复,因此使用数据采集系统在一个跨度上进行了一次环境振动测试,该系统具有在选定位置放置的九个力平衡加速度计。应用增强的频域分解(EFDD)技术提取桥梁的动力特性。开发并更新了3-D有限元模型,以获得实验和数值模态特性之间的合理关联。选择用于更新的参数是有限元模型中每个混凝土元素中混凝土的弹性模量。其值减小表示损坏或刚度降低的可能性。我们证明,将EFDD技术与模型更新和非线性分析结合使用可为桥梁结构状况的评估提供有价值的信息。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号