Theoretical Description of the Self-Healing Process in Asphalt Concrete

The article presents a theoretical description of the self-healing process that is realized in building materials. A mathematical model of the change in the structurally sensitive parameter (strength, resistance coefficient) of the material under the influence of the operating environment, which occurs as a result of two processes, is proposed in the form of kst (t) = C10exp (A1t) + C20exp (A2t) + 1, where the first term characterizes the features of the recovery process, and the second – the features of the destructive processes. The mandatory condition is: C10 + C20 = 0. The parameters Ci (t) = Ci(0) + kit are a function of time, establishing the change in the degree of contribution of each component, which in the initial period of time are equal to 0 in total, and the coefficients ki indicate the intensity of the attenuation of the process and the change in the contribution of the coefficients Ciover time. Using experimental data, the applicability of the proposed model for self-healing asphalt concretes is proven. The use of an encapsulated modifier allows for an increase in the growth of the resistance coefficient due to self-healing by 49–63%. At the same time, the rate of self-healing does not change significantly, and the rate of destruction after self-healing using encapsulated AR polymer is 2.7 times. The obtained results prove that the use of encapsulated AR polymer is an effective way to implement self-healing technology in asphalt concrete.

Authors

Institutions

Publication Details

Journal
Stroitel nye Materialy
Published
2025-09-09
DOI
https://doi.org/10.31659/0585-430x-2025-838-8-55-63
Primary Topic
Microbial Applications in Construction Materials
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Theoretical Description of the Self-Healing Process in Asphalt Concrete

Evgeniy Korolev, S. S. Inozemtsev
Stroitel nye Materialy
Microbial Applications in Construction Materials
article

Theoretical Description of the Self-Healing Process in Asphalt Concrete

Evgeniy Korolev, S. S. Inozemtsev
article en

Abstract

The article presents a theoretical description of the self-healing process that is realized in building materials. A mathematical model of the change in the structurally sensitive parameter (strength, resistance coefficient) of the material under the influence of the operating environment, which occurs as a result of two processes, is proposed in the form of kst (t) = C10exp (A1t) + C20exp (A2t) + 1, where the first term characterizes the features of the recovery process, and the second – the features of the destructive processes. The mandatory condition is: C10 + C20 = 0. The parameters Ci (t) = Ci(0) + kit are a function of time, establishing the change in the degree of contribution of each component, which in the initial period of time are equal to 0 in total, and the coefficients ki indicate the intensity of the attenuation of the process and the change in the contribution of the coefficients Ciover time. Using experimental data, the applicability of the proposed model for self-healing asphalt concretes is proven. The use of an encapsulated modifier allows for an increase in the growth of the resistance coefficient due to self-healing by 49–63%. At the same time, the rate of self-healing does not change significantly, and the rate of destruction after self-healing using encapsulated AR polymer is 2.7 times. The obtained results prove that the use of encapsulated AR polymer is an effective way to implement self-healing technology in asphalt concrete.

Stroitel nye Materialy(8)
Saint Petersburg State University of Architecture and Civil Engineering (RU), Moscow State University of Civil Engineering (RU)
Openalex Percentile: Top 77%
Microbial Applications in Construction Materials
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.