Full Text Available
Note: Clicking the button above will open the full text document at the original institutional repository in a new window.
Optimizing mechanical performance and self-healing efficiency of cement mortar using bacteria-infused expanded clay pellets: an experimental and machine learning approach
Saved in:
| Published in: | Discover Sustainability |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2026
|
| Subjects: | |
| Tags: |
No Tags, Be the first to tag this record!
|
| _version_ | 1870750313579806720 |
|---|---|
| collection | WordPress RSS FRELIP Feed Integration |
| container_title | Discover Sustainability |
| description | |
| discipline_display | Environmental Studies |
| discipline_facet | Environmental Studies |
| format | Online Article RSS Article |
| genre | Journal Article |
| id | rss_article:103003 |
| institution | FRELIP |
| journal_source_facet | Discover Sustainability |
| last_indexed | 2026-07-15T03:35:26.447Z |
| publishDate | 2026 |
| publishDateSort | 2026 |
| record_format | rss_article |
| spellingShingle | Optimizing mechanical performance and self-healing efficiency of cement mortar using bacteria-infused expanded clay pellets: an experimental and machine learning approach Environmental Studies General Environmental Studies |
| sub_discipline_display | General |
| sub_discipline_facet | General |
| subject_display | Environmental Studies General Environmental Studies |
| subject_facet | Environmental Studies General Environmental Studies |
| title | Optimizing mechanical performance and self-healing efficiency of cement mortar using bacteria-infused expanded clay pellets: an experimental and machine learning approach |
| title_alt | Optimización del rendimiento mecánico y la eficiencia de autocuración del mortero de cemento mediante gránulos de arcilla expandida con bacterias: un enfoque experimental y de aprendizaje automático Optimisation des performances mécaniques et de l'efficacité d'auto-réparation du mortier de ciment à l'aide de granulés d'argile expansée imprégnés de bactéries : une approche expérimentale et d'apprentissage automatique Otimização do desempenho mecânico e da eficiência de autocura de argamassa de cimento usando pellets de argila expandida infundidos com bactérias: uma abordagem experimental e de aprendizado de máquina |
| title_auth | Optimizing mechanical performance and self-healing efficiency of cement mortar using bacteria-infused expanded clay pellets: an experimental and machine learning approach |
| title_es_txt | Optimización del rendimiento mecánico y la eficiencia de autocuración del mortero de cemento mediante gránulos de arcilla expandida con bacterias: un enfoque experimental y de aprendizaje automático |
| title_fr_txt | Optimisation des performances mécaniques et de l'efficacité d'auto-réparation du mortier de ciment à l'aide de granulés d'argile expansée imprégnés de bactéries : une approche expérimentale et d'apprentissage automatique |
| title_full | Optimizing mechanical performance and self-healing efficiency of cement mortar using bacteria-infused expanded clay pellets: an experimental and machine learning approach |
| title_fullStr | Optimizing mechanical performance and self-healing efficiency of cement mortar using bacteria-infused expanded clay pellets: an experimental and machine learning approach |
| title_full_unstemmed | Optimizing mechanical performance and self-healing efficiency of cement mortar using bacteria-infused expanded clay pellets: an experimental and machine learning approach |
| title_pt_txt | Otimização do desempenho mecânico e da eficiência de autocura de argamassa de cimento usando pellets de argila expandida infundidos com bactérias: uma abordagem experimental e de aprendizado de máquina |
| title_short | Optimizing mechanical performance and self-healing efficiency of cement mortar using bacteria-infused expanded clay pellets: an experimental and machine learning approach |
| title_sort | optimizing mechanical performance and self-healing efficiency of cement mortar using bacteria-infused expanded clay pellets: an experimental and machine learning approach |
| topic | Environmental Studies General Environmental Studies |
| url | https://link.springer.com/article/10.1007/s43621-026-03586-y |