悬索桥健康监测实验教学平台开发与应用
Research and Exploration in Laboratory(2021)
Abstract
为丰富桥梁实验与检测课程的教学资源,设计了悬索桥健康监测实验教学平台.平台包括模型桥和健康监测系统等组成部分.以大连市北大桥为例,设计和制作了总长12.14 m、主梁宽1.1 m、塔高1.95 m的三跨悬索桥模型.在此模型桥上建立了完整的结构健康监测系统,通过布设各类传感器对桥塔倾斜、主梁应变、主梁挠度、桥体振动、伸缩缝变形以及环境温湿度进行在线监测,实现了自动化采集、无线传输、远程查看、实时预警等功能.利用该模型可在实验室内演示桥梁结构健康监测全过程,开展不同层次的实践教学内容,有助于学生对桥梁健康监测原理和方法的理解,对实践教学具有积极的促进作用.
More求助PDF
上传PDF
View via Publisher
AI Read Science
AI Summary
AI Summary is the key point extracted automatically understanding the full text of the paper, including the background, methods, results, conclusions, icons and other key content, so that you can get the outline of the paper at a glance.
Example
Background
Key content
Introduction
Methods
Results
Related work
Fund
Key content
- Pretraining has recently greatly promoted the development of natural language processing (NLP)
- We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
- We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
- The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
- Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance
Upload PDF to Generate Summary
Must-Reading Tree
Example

Generate MRT to find the research sequence of this paper
Data Disclaimer
The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn
Chat Paper
Summary is being generated by the instructions you defined