Multidimensional tensor strategy for the inverse analysis of in-service bridge based on SHM data

Author:

Jin QiwenORCID,Sun Yili,Liu Zheng,He Shuanhai

Funder

Henan University of Technology

Publisher

Springer Science and Business Media LLC

Subject

Geotechnical Engineering and Engineering Geology,Building and Construction,Civil and Structural Engineering,Environmental Engineering,Engineering (miscellaneous)

Reference29 articles.

1. Carrión FJ, Quintana JA, Crespo SE (2017) SHM of a stayed bridge during a structural failure, case study: the Rio Papaloapan bridge. J Civ Struct Health Monit 7(2):139–151

2. Jin QW (2019) Application study on bridge structural health monitoring with consideration of structural robustness analysis energy method and data mining technology. Ph.D. thesis. Hefei University of Technology, Hefei, China

3. Sun LM, Shang ZQ, Xia Y, Bhowmick S, Nagarajaiah S (2020) Review of bridge structural health monitoring aided by big data and artificial intelligence: from condition assessment to damage detection. J Struct Eng 146(5):04020073

4. Jin QW, Liu Z, Bin JC, Ren WX (2019) Predictive analytics of in-service bridge structural performance from SHM data mining perspective: a case study. Shock Vib 2019

5. Jin QW, Liu Z (2018) Structural robustness-based SHM point arrangement strategy for in-service cable-stayed bridge subjected to cable damage effect. In: 2018 the Canadian society for civil engineering annual conference

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