相关实验视频

Updated: Sep 13, 2025

Production and Analysis of Sporosarcina pasteurii Biocement Bricks Using Custom 3D-Printed Molds for Unconfined Compression Tests
05:38

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

Published on: March 7, 2025

456

使用深度学习模型,对基于层和铜渣的地聚合物混凝土的压力强度建模

G K Arunvivek1, S Anandaraj2, Pramod Kumar1

  • 1Department of Civil Engineering, Mohan Babu University, Tirupati, 517102, Andhra Pradesh, India.

Scientific reports
|July 30, 2025
PubMed
概括

这项研究使用人工神经网络 (ANN) 预测了用层和铜渣制成的环保地质聚合物混凝土的压力强度. 开发的ANN模型准确预测了混凝土的强度,有助于可持续的建筑设计.

关键词:
人工神经网络模型模型热气球 (Cenosphere) 是一个热气球.压力强度的压力强度是什么铜渣是一种铜渣.地质聚合物混凝土混凝土

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