Evidence map›Paper›PMID 35957171›Full record

ArticleSensors (Basel, Switzerland)2022

Smartphone-Based and Data-Driven Superstructure State Prediction Method for Highway Bridges in Service.

Jixin Duan, Weili He, Shizhan Xu, Zhaoyuan Zhong, Liang Huang

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 41% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Jixin DuanSchool of Civil Engineering, Zhengzhou University, Zhengzhou 450001, China.
Weili HeSchool of Civil Engineering, Zhengzhou University, Zhengzhou 450001, China.
Shizhan XuSchool of Civil Engineering, Zhengzhou University, Zhengzhou 450001, China.
Zhaoyuan ZhongSchool of Water Conservancy Engineering, Zhengzhou University, Zhengzhou 450001, China.
Liang HuangSchool of Civil Engineering, Zhengzhou University, Zhengzhou 450001, China.
Zhengzhou University · CN

Funding

National Natural Science Foundation of China 52079128
6 · The paper itself

Abstract

Survival analysis is a data-driven approach that is widely used in various fields of biomedical prognostic research, and it is highly reliable in the processing of time-event data. This study developed a method for evaluating the service performance of bridge superstructures using the built-in acceleration sensor of smartphones and the prediction of survival analysis theory. It will be used to assist in the daily maintenance and repair of small and medium bridges. The effects of the upper load-bearing structure, upper general structure, bearings, deck paving, expansion joints, and frequency ratio on the deterioration of the bridge superstructure were investigated. The results show that the first-order vibration frequency of the bridge can be effectively detected by the built-in acceleration sensor of the mobile phone, but its low sensitivity and high output noise make it impossible to accurately detect the higher-order frequencies of the bridge. The upper load-bearing members, the upper general structure, the bearing, the deck pavement, and the frequency ratio are all related to the changing trend of the technical condition level of the bridge superstructure.

Indexed as

Cell PhoneSmartphoneVibrationbridge superstructureCoxlife predictionsmartphonesurvival analysis

Identifiers

PMID35957171
PMCPMC9370844
OpenAlexW4288081353

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.