Evidence map›Paper›PMID 41900712›Full record

ArticleMaterials (Basel, Switzerland)2026

Optimization Analysis for Pavement Construction Integrated Optical Fiber Sensors Based on DEM-FDM Coupled Method.

Peixin Tian, Min Xiao, Yaoting Zhu, Xihai Yang, Yongwei Li, Xunhao Ding, Tao Ma

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 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

7 authors.

Peixin TianSchool of Transportation, Southeast University, 2 Sipailou, Nanjing 210096, China.
Min XiaoJiangxi Communications Investment Group Co., Ltd., No. 367, Chaoyangzhou Middle Road, Nanchang 330025, China.
Yaoting ZhuJiangxi Communications Investment Maintenance Technology Group Co., Ltd., No. 809, Jinsan Avenue, Xiaolan Economic Development Zone, Nanchang 330052, China.
Xihai YangJiangxi Communications Investment Group Co., Ltd., No. 367, Chaoyangzhou Middle Road, Nanchang 330025, China.
Yongwei LiJiangxi Communications Investment Group Co., Ltd., No. 367, Chaoyangzhou Middle Road, Nanchang 330025, China.
Xunhao DingSchool of Transportation, Southeast University, 2 Sipailou, Nanjing 210096, China.
Tao MaSchool of Transportation, Southeast University, 2 Sipailou, Nanjing 210096, China.ORCID 0000-0002-7963-9370

Funding

National Natural Science of Foundation of China NO.52208427Natural Science Foundation of Jiangsu BK20220844Open Research Fund of Highway Engineering Key Laboratory of Sichuan Province HEKLSP2022-02Open Research Fund of Hubei Key Laboratory of Theory and Application of Advanced Materials Mechanics TAM202201Shuangchuang Program of Jiangsu Province JSSCBS20220094
6 · The paper itself

Abstract

Today, distributed optical fiber sensors are widely used in structural health monitoring due to their high sensitivity and long-distance applicability. However, when embedded in pavement structures, distributed optical fiber sensors are always installed in a slotted buried fashion, which not only affects current pavement durability but also reduces pavement construction efficiency. In order to design clear requirements of in situ-embedded distributed optical fiber sensors for pavement construction, this study analyzes the micro-mechanical behavior of optical cables under the ultimate pavement compaction state based on a coupled DEM-FDM approach. According to the study results, it is found that when the pavement subbase was compacted, the maximum contact force of 13.2 mm aggregates in the

Indexed as

discrete element method-finite difference method couplingdistributed fiber-optic sensingperformance of optical fiber sensorsroad construction

Identifiers

PMID41900712
PMCPMC13027488

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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.