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Review of Bridge Structural Health Monitoring Aided by Big Data and Artificial Intelligence: From Condition Assessment to Damage Detection
| 题名： | Review of Bridge Structural Health Monitoring Aided by Big Data and Artificial Intelligence: From Condition Assessment to Damage Detection |
| 正文语种： | 英文 |
| 作者： | Limin Sun, P.E., A.M.ASCE; Zhiqiang Shang; Ye Xia, P.E.; Sutanu Bhowmick; Satish Nagarajaiah, F.ASCE |
| 作者单位： | Tongji Univ;Rice Univ |
| 关键词： | intelligence；monitor；detection；review；bridge；assess；damage；knowledge；ssme；oring |
| 摘要： | Structural health monitoring (SHM) techniques have been widely used in long-span bridges. However, due to limitations of computational ability and data analysis methods, the knowledge in massive SHM data is not well interpreted. Big data (BD) and artificial intelligenee (Al) techniques are seen as promising ways to address the data interpretation problem. This paper aims to clarify the scope of BD and Al techniques on what and how regarding bridge SHM. The BD and Al techniques are summarized, and the requirements of bridge SHM for new techniques are generalized. Applications of BD and Al techniques in bridge SHM are reviewed, respectively. BD techniques can be divided into two categories, namely computing techniques and data analysis methods. The computing techniques are employed in SHM to build a BD-oriented SHM framework and to address computing problems, while the data analysis methods are introduced under a pipeline ofBD analysis, application scenarios of BD techniques in bridge SHM are proposed in each step of this pipeline. The state of the art of deep learning in SHM is introduced to represent Al applications, which are concerned with processing unstructured data for visual inspection and time series for structural damage detection. Finally, the upper limit, challenges, and future trends are discussed. As a review, the paper offers meaningful perspectives and suggestions for employing BD and Al techniques in the field of bridge SHM. |
| 出版日期： | 2020 |
| 出版年： | 2020 |
| 期刊名称： | Journal of Structural Engineering |
| 卷： | Vol.146 |
| 期： | No.05 |
| 页码： | 04020073 |
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