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Time-Dependent Monitoring and Modeling of I-35W St. Anthony Falls Bridge. I: Analysis of Monitoring Data

机译:I-35W圣安东尼瀑布桥的时变监视和建模。一:监测数据分析

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For the successful implementation of long-term monitoring strategies of prestressed concrete structures, the expected behavior of the structure must be accurately quantified before anomalous or damage-related readings can be properly identified. In situ structures may be subject to large variations in temperature, which can have a significant impact on measured deformations, and continued creep and shrinkage of the concrete further complicate long-term predictions. The goals of this and a companion paper are to present the methodology for extracting the time-dependent behavior of a posttensioned concrete box girder bridge from structural monitoring data in the presence of changing temperatures (this paper) and to compare predictions of long-term time-dependent deformations computed using finite-element analysis with the extracted time-dependent monitoring data (the companion paper). To investigate the interactions between temperature and time-dependent behavior for in situ monitoring data, strains and expansion joint deflections from the St. Anthony Falls Bridge, a posttensioned concrete box girder bridge on I-35W in Minneapolis, Minnesota, were collected over a period of 5 years. A methodology based on linear regression was used to separate the time-dependent deformations from the temperature-related deformations given a variable coefficient of thermal expansion (CTE). The total temperature-related deformations were captured by functions based on the average bridge temperature, the thermal gradient through the depth of the superstructure, and the average squared temperature of the bridge, which was proposed because the CTE was observed to vary with temperature. On examination of the extracted time-dependent readings, the deformation rates were found to decelerate during the winter and accelerate during the summer. To enable direct comparison between the measured results and the creep and shrinkage predictions from finite-element models assuming constant temperature, an Arrhenius-adjusted time formulation was used, which normalized the measured deformations under varying temperatures to those expected from a constant reference temperature. This procedure for processing the time-dependent measured data enables a comparison with time-dependent finite-element model results conducted at constant temperature. (C) 2017 American Society of Civil Engineers.
机译:为了成功实施预应力混凝土结构的长期监控策略,必须正确量化结构的预期性能,然后才能正确识别异常或与损伤相关的读数。原位结构可能会经受温度的大幅度变化,这可能对测得的变形产生重大影响,并且混凝土的持续蠕变和收缩进一步加剧了长期预测。本文的目的是介绍在温度变化的情况下从结构监测数据中提取后张混凝土箱梁桥随时间变化的行为的方法(本论文),并比较长期预测有限元分析,使用有限元分析,并提取与时间相关的监测数据,计算出随时间变化的变形(随附论文)。为了研究温度和时间相关行为之间的相互作用,以现场监测数据,应变和伸缩缝变形,该变形来自圣安东尼福尔斯桥,该桥是明尼苏达州明尼阿波利斯市I-35W上的后张预应力混凝土箱梁桥5年。在给定可变热膨胀系数(CTE)的情况下,使用基于线性回归的方法将与时间相关的变形与与温度相关的变形分开。通过基于平均桥梁温度,通过上部结构深度的热梯度以及桥梁的平均平方温度的函数来捕获总温度相关的变形,这是由于观察到CTE随温度变化而提出的。通过检查提取的随时间变化的读数,发现变形率在冬季减速,在夏季加速。为了能够在假设温度恒定的情况下直接比较测量结果与有限元模型的蠕变和收缩预测,使用了Arrhenius调整时间公式,该公式将在不同温度下的测量变形标准化为恒定参考温度下的预期变形。该处理时间相关的测量数据的过程可以与在恒定温度下进行的时间相关的有限元模型结果进行比较。 (C)2017年美国土木工程师学会。

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