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Updated: Feb 28, 2026

Production and Analysis of Sporosarcina pasteurii Biocement Bricks Using Custom 3D-Printed Molds for Unconfined Compression Tests
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Production and Analysis of Sporosarcina pasteurii Biocement Bricks Using Custom 3D-Printed Molds for Unconfined Compression Tests

Published on: March 7, 2025

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评估孔隙-粘合剂比率和机器学习模型,以预测土壤-水泥-玻璃粉地质材料的强度和耐久性

Jair Arrieta Baldovino1, Oscar E Coronado-Hernández2, Yamid E Nuñez de la Rosa3

  • 1Department of Civil Engineering, Universidad de Cartagena, Cartagena de Indias 130015, Colombia.

Materials (Basel, Switzerland)
|February 27, 2026
PubMed
概括

这项研究表明,孔隙度-水泥指数有效地预测了用波特兰水泥和磨砂玻璃粉 (GGP) 稳定的泥土的强度和耐用性. 优化的GGP混合物显著提高了土壤的机械行为和耐用性.

关键词:
粉碎的玻璃粉是什么?改善土地的改善工作机器学习是机器学习.孔隙性-水泥指数

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