Evidence map›Paper›PMID 42768208›Full record

ReviewCommunications engineering2026

Underwater detection and repair reinforcement technologies for reservoir-dam systems: development status and research challenges.

Yan Xiang, Yakun Wang, Bo Dai, Zhe Chen, Yantao Zhu, Guangze Shen, Jiang Hu, Siyu Chen

Abstract readReview
In one paragraph

Review in Communications engineering, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Yan Xiang *Nanjing Hydraulic Research Institute, Nanjing, China. yxiang@nhri.cn.
Yakun Wang *Nanjing Hydraulic Research Institute, Nanjing, China.ORCID http://orcid.org/0000-0003-1892-7990
Bo DaiNanjing Hydraulic Research Institute, Nanjing, China.
Zhe ChenThe College of Information Science and Engineering, Hohai University, Nanjing, China.
Yantao ZhuThe College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing, China.
Guangze ShenNanjing Hydraulic Research Institute, Nanjing, China.
Jiang HuNanjing Hydraulic Research Institute, Nanjing, China.
Siyu ChenNanjing Hydraulic Research Institute, Nanjing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The long-term structural integrity of reservoir-dam systems is essential for ensuring water security, energy supply, and public safety. Underwater structural defects, driven by complex hydraulic and environmental conditions, pose growing threats to the safe operation of large dams. In recent decades, significant progress has been made in underwater inspection, defect detection, and repair technologies, offering viable alternatives to traditional drawdown-based maintenance. This review systematically synthesizes advances in underwater detection and rehabilitation technologies for reservoir-dam systems, focusing on inspection platforms, positioning and navigation methods, defect identification techniques, and underwater repair materials. It critically examines key challenges, including limited transferability of marine-derived technologies, environmental interference, cumulative operational errors, and real-world applicability. This paper further categorizes existing technologies by maturity and proposes problem-oriented research directions to support the development of intelligent, reliable, and field-deployable systems for underwater defect management in large dams.

Identifiers

PMID42768208
PMCPMC13594326

What OpenQuestion holds

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Registered trials

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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.