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首页> 外文期刊>Journal of bridge engineering >Quantifying the Effects of Modeling Simplifications for Structural Identification of Bridges
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Quantifying the Effects of Modeling Simplifications for Structural Identification of Bridges

机译：量化简化模型对桥梁结构识别的影响

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Several long-span, prestressed, segmental box girder bridges were built in the early 1980s and many of them are affected by long-term residual deformations. Although some models have been proposed to describe their structural behavior, several uncertainties remain. This paper examines the effects of errors introduced by model simplifications on predicted values. The results are used to improve the estimation of parameter values using model-based data-interpretation strategies. The procedure is illustrated for the Grand-Mere Bridge located in Canada. This bridge is affected by excessive long-term vertical displacements. Model simplifications such as in its degree of complexity are found to have an important influence on prediction errors. Representing these errors by zero-mean independent Gaussian noise does not adequately describe the relationships among the errors observed in this case study. Estimated errors are used in the interpretation of the ambient vibration acceleration data recorded on the structure. The interpretation approach employed is based on error-domain model falsification. This study provides ranges of parameter values that can be used subsequently to characterize more accurately aspects such as long-term creep and shrinkage behavior.
机译：在1980年代初期建造了几座大跨度，预应力，分段箱梁桥，其中许多桥都受到长期残余变形的影响。尽管已经提出了一些模型来描述其结构行为，但仍存在一些不确定性。本文研究了模型简化引入的误差对预测值的影响。使用基于模型的数据解释策略，结果可用于改善参数值的估计。该过程在加拿大的Grand-Mere大桥上进行了说明。该桥受长期长期垂直位移的影响。发现模型简化（例如复杂程度）对预测误差有重要影响。用零均值独立的高斯噪声表示这些误差并不能充分描述本案例研究中观察到的误差之间的关系。估计的误差用于解释记录在结构上的环境振动加速度数据。所采用的解释方法基于错误域模型伪造。这项研究提供了参数值的范围，可随后用于更精确地表征长期蠕变和收缩行为等方面。

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