摘要
由一名新闻记者-机器人与机器学习的工作人员新闻编辑-每日新闻-关于机器学习的最新研究结果已经发表。根据中国人民日报武汉的新闻报道，NewsRx编辑的研究表明：“由于硅灰具有很高的火山灰活性和对填充密度的贡献，几乎是UHPC不可缺少的一部分，但它带来了潜在的严重的自收缩问题。纳米纤维素(NC)在控制收缩方面非常有效，但也会导致不同的微观结构，其影响尚不清楚。”本研究的资助单位包括国家自然科学基金(NSFC)湖北省重点研究开发计划。本研究旨在探讨NC对UH-PC高收缩的补偿作用。提出了一种基于机器学习和体视学方法的自收缩微裂纹图像处理方法。结果NC的加入使裂纹宽度和面积减少了57.45，分别为70.55%和63.2-83.8%。MIP分析表明，NC的掺入引入了较大比例的孔隙。在力学性能方面，NC带来的孔隙含量越高，对抗压强度的影响越大，而NC对抗折强度的提高可达66.02%。在r-2分别为0.94和0.98的情况下,0和50 nm孔隙率与抗压强度、裂缝密度和弯曲强度具有良好的相关性.
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Current study results on Machine Learn ing have been published. According to news reporting out of Wuhan, People's Repu blic of China, by NewsRx editors, research stated, "Owing to its high pozzolanic reactivity and contribution to packing density, silica fume is almost an indisp ensable part of UHPC, but it brings potentially serious problem of high autogeno us shrinkage. Nanocellulose (NC) is very effective in controlling shrinkage but would also result in different microstructure, whose impact is not clear." Funders for this research include National Natural Science Foundation of China ( NSFC), Hubei Province Key research and development plan. Our news journalists obtained a quote from the research from Wuhan University, " This study aims to explore the compensatory effect of NC on high shrinkage of UH PC. An image process method based on machine learning and stereological methods is proposed to quantify the autogenous shrinkage induced microcracks. Results sh ow that the addition of NC reduces the crack width and area by 57.45 similar to 70.55% and 63.2-83.8%, respectively. The MIP analysis reveals that the incorporation of NC introduces a larger proportion of pores. I n terms of mechanical properties, the higher content of pores brought by NC has a negative effect on compressive strength, however, the enhancement of flexural strength by NC can reach 66.02%. Excellent correlations between 0 a nd 50 nm porosity and compressive strength, crack density and flexural strength are observed with R-2 of 0.94 and 0.98 respectively."
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