Evidence map›Paper›PMID 38520068›Full record

ReviewAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2024

Triboelectric Nanogenerator-Enabled Digital Twins in Civil Engineering Infrastructure 4.0: A Comprehensive Review.

Yafeng Pang, Tianyiyi He, Shuainian Liu, Xingyi Zhu, Chengkuo Lee

Open access · goldAbstract readReview
In one paragraph

Review in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
7.0field-weighted citation impact, top 2% 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

6 citing papers in PubMed, 38 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
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 2 institutions in 2 countries.

Yafeng PangKey Laboratory of Road and Traffic Engineering of Ministry of Education, Tongji University, Shanghai, 200092, P. R. China.
Tianyiyi HeDepartment of Electrical and Computer Engineering, National University of Singapore, 4 Engineering Drive 3, Singapore, 117576, Singapore.
Shuainian LiuKey Laboratory of Road and Traffic Engineering of Ministry of Education, Tongji University, Shanghai, 200092, P. R. China.
Xingyi ZhuKey Laboratory of Road and Traffic Engineering of Ministry of Education, Tongji University, Shanghai, 200092, P. R. China.ORCID https://orcid.org/0000-0002-0822-6261
Chengkuo LeeDepartment of Electrical and Computer Engineering, National University of Singapore, 4 Engineering Drive 3, Singapore, 117576, Singapore.
Tongji University · CNNational University of Singapore · SG

Funding

Fundamental Research Funds for the Central UniversitiesInternational Cooperation Project of Science and Technology Commission of Shanghai Municipality 22210710700Ministry of Education (MOE) under the research R-263-000-F18-112/A-0009520-01-00National Key R&D Program of China 2023YFE0202400National Natural Science Foundation of China 52278455National Research Foundation Singapore grant CRP28-2022-0038/A-8001503-00-00the China Scholarship Council 202206260125the RIE advanced manufacturing and engineering (AME) programmatic grant A18A4b0055the Shuguang Program of Shanghai Education Development Foundation and Shanghai Municipal Education Commission 21SG24
6 · The paper itself

Abstract

The emergence of digital twins has ushered in a new era in civil engineering with a focus on achieving sustainable energy supply, real-time sensing, and rapid warning systems. These key development goals mean the arrival of Civil Engineering 4.0.The advent of triboelectric nanogenerators (TENGs) demonstrates the feasibility of energy harvesting and self-powered sensing. This review aims to provide a comprehensive analysis of the fundamental elements comprising civil infrastructure, encompassing various structures such as buildings, pavements, rail tracks, bridges, tunnels, and ports. First, an elaboration is provided on smart engineering structures with digital twins. Following that, the paper examines the impact of using TENG-enabled strategies on smart civil infrastructure through the integration of materials and structures. The various infrastructures provided by TENGs have been analyzed to identify the key research interest. These areas encompass a wide range of civil infrastructure characteristics, including safety, efficiency, energy conservation, and other related themes. The challenges and future perspectives of TENG-enabled smart civil infrastructure are briefly discussed in the final section. In conclusion, it is conceivable that in the near future, there will be a proliferation of smart civil infrastructure accompanied by sustainable and comprehensive smart services.

Indexed as

civil infrastructuredigital twinsenergy harvesterself‐powered sensingtriboelectric nanogenerator

Identifiers

PMID38520068
PMCPMC11132078
OpenAlexW4393118352

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.