Репозиторий Евразийского национального университета имени Л.Н. Гумилева
Репозиторий Евразийского национального университета имени Л.Н. Гумилева
Репозиторий Евразийского национального университета имени Л.Н. Гумилева
Просмотр элемента 
  •   Главная
  • Научные статьи
  • 01. Публикации в изданиях зарубежных стран
  • Materials Science
  • Просмотр элемента
  •   Главная
  • Научные статьи
  • 01. Публикации в изданиях зарубежных стран
  • Materials Science
  • Просмотр элемента
JavaScript is disabled for your browser. Some features of this site may not work without it.

Additive Manufacturing as an Alternative to Core Sampling in Concrete Strength Assessment

Thumbnail
Автор
Anop, Darya
Sadenova, Marzhan
Beisekenov, Nail
Rudenko, Olga
Aubakirova, Zulfiya
Jexembayeva, Assel
Дата
2025
Редактор
Applied Sciences
ISSN
2076-3417
xmlui.dri2xhtml.METS-1.0.item-identifier-citation
Anop, D.; Sadenova, M.; Beisekenov, N.; Rudenko, O.; Aubakirova, Z.; Jexembayeva, A. Additive Manufacturing as an Alternative to Core Sampling in Concrete Strength Assessment. Appl. Sci. 2025, 15, 7737. https://doi.org/ 10.3390/app15147737
Аннотации
Additive manufacturing reshapes concrete construction, yet routine strength verification of printed elements still depends on destructive core sampling. This study evaluates whether standard 70 mm cubes—corrected by a single factor—can provide an equally reliable measure of in situ compressive strength. Five Portland-cement mixes, with and without ash-slag techno-mineral filler, were extruded into wall blocks on a laboratory 3D printer. For each mix, the compressive strengths of the cubes and ∅ 28 mm drilled cores were measured at 7, 14 and 28 days. The core strengths were consistently lower than the cube strengths, but their ratios remained remarkably stable: the transition coefficient clustered between 0.82 and 0.85 (mean 0.83). Ordinary least-squares regression of the pooled data produced the linear relation Rˆ core [MPa] = 0.97 Rˆ cube − 4.9, limiting the prediction error to less than 2 MPa (under 3% across the 40–300 MPa range) and outperforming more complex machinelearning models. Mixtures containing up to 30% ash-slag filler maintained structural-grade strength while reducing clinker demand, underscoring their sustainability potential. The results deliver a simple, evidence-based protocol for non-destructive strength assessment of 3D-printed concrete and provide quantitative groundwork for future standardisation of quality-control practices in additive construction.
URI
http://repository.enu.kz/handle/enu/30304
Открыть
ADDITI~1.PDF (2.814Mb)
Collections
  • Materials Science[559]
Показать полную информацию
CORE Recommender

Евразийский национальный университет имени Л.Н. Гумилева | Научная библиотека | Контакты
Яндекс.Метрика
Научная библиотека | Контакты
 

Просмотр

Весь DSpaceСообщества и коллекцииДата публикацииАвторыНазванияТематикаЭта коллекцияДата публикацииАвторыНазванияТематика

Моя учетная запись

ВойтиРегистрация

Евразийский национальный университет имени Л.Н. Гумилева | Научная библиотека | Контакты
Яндекс.Метрика
Научная библиотека | Контакты