首页> 外文期刊>Engineering Structures >The impact of modelling uncertainties on the seismic performance assessment of reinforced concrete frame buildings
【24h】

The impact of modelling uncertainties on the seismic performance assessment of reinforced concrete frame buildings

机译:模型不确定性对钢筋混凝土框架房屋抗震性能评估的影响

获取原文
获取原文并翻译 | 示例
           

摘要

Simplified procedures have been used for the estimation of seismic response parameters by considering the epistemic uncertainties for an older reinforced concrete frame, and for two contemporary reinforced concrete structures. The simplifications in the procedure are associated with a simplified nonlinear method and models for the assessment of the seismic performance of the structure, whereas the effects of the epistemic uncertainty are treated by using the first-order-second-moment (FOSM) method, and the latin hypercube sampling (LHS) technique. The results of sensitivity analysis reveal that it is those parameters which affect the collapse mechanism and have a high coefficient of variation that have the greatest impact on the seismic response parameters for the near collapse limit state. The results of uncertainty analysis by using the LHS technique showed that epistemic uncertainties have an effect on the dispersion, and also on the median estimates of the response parameters. For all three example structures a reduction in the estimate for the median peak ground acceleration at the near-collapse limit state was observed. Thus, explicit consideration of epistemic uncertainties in the process of the assessment of structural performance can lead to more accurate results, and consequently also to more reliable assessment of seismic risk.
机译:考虑到旧钢筋混凝土框架和两个当代钢筋混凝土结构的认知不确定性,已使用简化程序估算地震响应参数。该过程的简化与简化的非线性方法和用于评估结构抗震性能的模型有关,而认知不确定性的影响则通过一阶二阶矩(FOSM)方法处理,并且拉丁超立方采样(LHS)技术。敏感性分析的结果表明,那些参数会影响坍塌机制并具有较高的变异系数,这些参数对接近崩溃极限状态下的地震响应参数影响最大。使用LHS技术进行不确定性分析的结果表明,认知不确定性对离散度以及响应参数的中值估计都有影响。对于所有三个示例结构,观察到在接近崩溃极限状态下,地面峰值加速度中值的估计值减少了。因此,在结构性能评估过程中明确考虑认识论的不确定性可以导致更准确的结果,因此也可以更可靠地评估地震风险。

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