Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Linear automatic measurement and control method for continuous beam bridge prefabricating and assembling construction
The invention discloses a linear automatic measurement and control method for continuous beam bridge prefabricating and assembling construction. The method comprises the following steps of arranging wireless strain sensors, specifically, arranging the wireless strain sensors on a top plate and a bottom plate of each prefabricated beam section along the bridge direction according to the construction and assembling sequence and the structural form of the beam sections; acquiring and transmitting the strain information, namely setting an acquisition time interval of the wireless strain sensors according to requirements, reading the strain data of the primary beam section at regular intervals, and transmitting the acquired strain data to a cloud end through a wireless network; calculating thevertical displacement of each beam section, namely inputting the collected strain information into a beam section vertical displacement conversion formula derived based on a small deformation theory and a corner-displacement formula to obtain the vertical displacement of each beam section; establishing a neural network model. Based on a neural network technology, the complex relation between the beam section strain and the vertical displacement which is continuously updated along with the construction process is established, so that the control over the prefabricated assembled continuous beambridge structure line shape is achieved.
本发明公开了一种连续梁桥预制拼装施工的线形自动测量及控制方法，包下如下步骤：无线应变传感器的布置：依据施工拼装的顺序和梁段的结构形式在每个预制梁段的顶板和底板顺桥向布置无线应变传感器；应变信息的采集与传输：根据需求设置无线应变传感器的采集时间间隔，每隔一定时间读取一次梁段的应变数据，并将采集的应变数据通过无线网络传输至云端；梁段竖向位移的计算：通过将采集的应变信息输入基于小变形理论和转角‑位移公式推导出的梁段竖向位移转化公式得到每个梁段的竖向位移；神经网络模型的搭建。本发明基于神经网络技术建立随施工进程不断更新的梁段应变与竖向位移的复杂关系，来实现预制拼装连续梁桥结构线形的控制。
Linear automatic measurement and control method for continuous beam bridge prefabricating and assembling construction
The invention discloses a linear automatic measurement and control method for continuous beam bridge prefabricating and assembling construction. The method comprises the following steps of arranging wireless strain sensors, specifically, arranging the wireless strain sensors on a top plate and a bottom plate of each prefabricated beam section along the bridge direction according to the construction and assembling sequence and the structural form of the beam sections; acquiring and transmitting the strain information, namely setting an acquisition time interval of the wireless strain sensors according to requirements, reading the strain data of the primary beam section at regular intervals, and transmitting the acquired strain data to a cloud end through a wireless network; calculating thevertical displacement of each beam section, namely inputting the collected strain information into a beam section vertical displacement conversion formula derived based on a small deformation theory and a corner-displacement formula to obtain the vertical displacement of each beam section; establishing a neural network model. Based on a neural network technology, the complex relation between the beam section strain and the vertical displacement which is continuously updated along with the construction process is established, so that the control over the prefabricated assembled continuous beambridge structure line shape is achieved.
本发明公开了一种连续梁桥预制拼装施工的线形自动测量及控制方法，包下如下步骤：无线应变传感器的布置：依据施工拼装的顺序和梁段的结构形式在每个预制梁段的顶板和底板顺桥向布置无线应变传感器；应变信息的采集与传输：根据需求设置无线应变传感器的采集时间间隔，每隔一定时间读取一次梁段的应变数据，并将采集的应变数据通过无线网络传输至云端；梁段竖向位移的计算：通过将采集的应变信息输入基于小变形理论和转角‑位移公式推导出的梁段竖向位移转化公式得到每个梁段的竖向位移；神经网络模型的搭建。本发明基于神经网络技术建立随施工进程不断更新的梁段应变与竖向位移的复杂关系，来实现预制拼装连续梁桥结构线形的控制。
Linear automatic measurement and control method for continuous beam bridge prefabricating and assembling construction
一种连续梁桥预制拼装施工的线形自动测量及控制方法
WANG HAO (Autor:in) / MAO JIANXIAO (Autor:in) / WEI JUNLING (Autor:in) / XIE YISHUN (Autor:in)
12.06.2020
Patent
Elektronische Ressource
Chinesisch
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