Feasibility analysis for predicting the compressive and tensile strength of concrete using machine learning algorithms
Concrete is the most utilized material (i.e., average production of 2 billion tons per year) for the construction of buildings, bridges, roads, dams, and several other important infrastructures. The strength and durability of these structures largely depend on the compressive strength of the concret...
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| Главные авторы: | , , , , , , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Elsevier
2023-07-01
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| Серии: | Case Studies in Construction Materials |
| Предметы: | |
| Online-ссылка: | http://www.sciencedirect.com/science/article/pii/S2214509523000724 |
| Метки: |
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