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Updated: Jan 8, 2026

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

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使用可解释机器学习 (XML) 增强的多个神经网络,被动确定3D打印混凝土的异型压力强度

Imtiaz Iqbal1, Tala Kasim2, Svetlana Besklubova3

  • 1Department of Civil Engineering, Aston University, B4 7ET, Birmingham, UK.

Scientific reports
|December 12, 2025
PubMed
概括

先进的神经网络准确地预测了3D混凝土打印 (3DCP) 的压力强度,其中包括纤维和废物. 卷积神经网络 (CNN) 模型显示出卓越的性能,识别了影响3DCP材料特性的关键因素.

关键词:
3D混凝土打印 3D混凝土打印压力强度的压力强度是什么卷积神经网络是一种卷积神经网络.深度学习是一种深度学习.可解释的机器学习预测 预测 预测

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