Evidence map›Paper›PMID 38138685›Full record

ArticleMaterials (Basel, Switzerland)2023

Choice of Healing Agent for Self-Healing Asphalt Concrete.

Sergei Sergeevich Inozemtcev, Evgeniy Valerievich Korolev, Trong Toan Do

Open access · goldAbstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 44% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

3 authors at 3 institutions in 2 countries.

Sergei Sergeevich InozemtcevDepartment of Building Materials Science, National Research Moscow State University of Civil Engineering, 129337 Moscow, Russia.ORCID 0000-0002-7628-2863
Evgeniy Valerievich KorolevDepartment of Construction Materials Technology and Metrology, St. Petersburg State University of Architecture and Civil Engineering, 190005 St. Petersburg, Russia.
Trong Toan DoDepartment of Building Materials, Hanoi Architectural University, Hanoi 12109, Vietnam.
Hanoi Architectural University · VNMoscow State University of Civil Engineering · RUSaint Petersburg State University of Architecture and Civil Engineering · RU

Funding

Russian Science Foundation 22-79-10051
6 · The paper itself

Abstract

The choice of a substance as a healing agent for asphalt concrete is determined by the scientific experience of researchers and the results of exploratory studies. There are no standard approaches for selecting healing agents or assessing their compatibility with the matrix components in asphalt concrete. However, such methods would make it possible to systematize research in the field of self-healing asphalt concrete and significantly expand the list of healing agents potentially suitable for encapsulation and ensuring the formation of a healing effect. An approach has been proposed for studying a substance and assessing the suitability of its use as a healing agent during encapsulation, using alginate technology in terms of solubility, homogeneity in a system with bitumen, and adhesive strength. This set of indicators can be used in the development and design of self-healing asphalt concrete, as well as for expanding the list of healing agents that can be used to implement self-healing technology. This article discusses sunflower oil and AR polymers as healing agents for self-healing asphalt concretes. The substances under consideration are capable of forming a homogeneous system ∆

Indexed as

AR-polymerasphalt concretehealing agentself-healingsolubilitysunflower oil

Identifiers

PMID38138685
PMCPMC10744604
OpenAlexW4389451924

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.