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使用细菌的自愈合混凝土梁的有限元分析

Finite Element Analysis of Self-Healing Concrete Beams Using Bacteria.

作者信息

Salem Ghada G, Galishnikova Vera V, Elroba S M, Vatin Nikolai I, Kharun Makhmud

机构信息

Department of Construction Engineering, Egyptian Russian University (ERU), Badr City 11829, Egypt.

Department of Civil Engineering, Moscow State University of Civil Engineering (National Research University), 26 Yaroslavskoye av., 129337 Moscow, Russia.

出版信息

Materials (Basel). 2022 Oct 26;15(21):7506. doi: 10.3390/ma15217506.

DOI:10.3390/ma15217506
PMID:36363097
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9659025/
Abstract

Deterioration or crack formation in concrete elements is a phenomenon that cannot be easily avoided, and it has a high cost of repair. A modern technology that needs wider study is the use of the bio-precipitation of calcium carbonate using bacteria to increase a structures' capacity. The current research presents an analytical study on self-healing concrete beams using bacteria to enhance the beam's capacity. A Finite Element Analysis on (ANSYS 15.0) was carried out to study the effect of the bacteria concentration (the weight of bacteria to cement weight 1%, 2%, and 3%), the type of bacteria ( and ), and the loading (a one-point load, a two-point load, and a distributed load on four points) on concrete beams. Two beams were chosen from previous experimental research and simulated on the ANSYS before carrying out our parametric study to verify the validity of our simulation. Following this, our parametric study was carried out on eight beams; each beam was loaded gradually up to failure. The results show that the optimum type of bacteria was the , and that the bacteria concentration of 3% for can increase the beam's capacity by 20.2%. Also, we found that distributing the load to four points led to the increase of the beam's capacity by 74.5% more than the beam with a one-point load.

摘要

混凝土构件的劣化或裂缝形成是一种难以轻易避免的现象，且修复成本高昂。一种需要更广泛研究的现代技术是利用细菌进行碳酸钙生物沉淀以提高结构的承载能力。当前的研究针对使用细菌增强梁承载能力的自修复混凝土梁展开了分析研究。利用（ANSYS 15.0）进行了有限元分析，以研究细菌浓度（细菌重量与水泥重量之比为1%、2%和3%）、细菌类型（以及）和荷载（单点荷载、两点荷载和四点分布荷载）对混凝土梁的影响。在进行参数研究之前，从先前的实验研究中选取了两根梁并在ANSYS上进行模拟，以验证模拟的有效性。在此之后，对八根梁进行了参数研究；每根梁逐渐加载直至破坏。结果表明，最佳细菌类型是，对于而言，3%的细菌浓度可使梁的承载能力提高20.2%。此外，我们发现将荷载分布在四个点上会使梁的承载能力比单点荷载梁提高74.5%。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7154/9659025/1fe5860ec90b/materials-15-07506-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7154/9659025/ba641b1780a4/materials-15-07506-g001a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7154/9659025/32540d8fad33/materials-15-07506-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7154/9659025/99d26da890d4/materials-15-07506-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7154/9659025/5e8e1314914b/materials-15-07506-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7154/9659025/248553061f67/materials-15-07506-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7154/9659025/6afb9e64ed71/materials-15-07506-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7154/9659025/596a45717dec/materials-15-07506-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7154/9659025/1ab02eb30647/materials-15-07506-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7154/9659025/dec64f144401/materials-15-07506-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7154/9659025/6271b29742af/materials-15-07506-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7154/9659025/576088b6d333/materials-15-07506-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7154/9659025/1fe5860ec90b/materials-15-07506-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7154/9659025/ba641b1780a4/materials-15-07506-g001a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7154/9659025/32540d8fad33/materials-15-07506-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7154/9659025/99d26da890d4/materials-15-07506-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7154/9659025/5e8e1314914b/materials-15-07506-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7154/9659025/248553061f67/materials-15-07506-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7154/9659025/6afb9e64ed71/materials-15-07506-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7154/9659025/596a45717dec/materials-15-07506-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7154/9659025/1ab02eb30647/materials-15-07506-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7154/9659025/dec64f144401/materials-15-07506-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7154/9659025/6271b29742af/materials-15-07506-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7154/9659025/576088b6d333/materials-15-07506-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7154/9659025/1fe5860ec90b/materials-15-07506-g012.jpg

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本文引用的文献

1
Recent Advances in Intrinsic Self-Healing Cementitious Materials.新型自修复水泥基材料的研究进展。
Adv Mater. 2018 Apr;30(17):e1705679. doi: 10.1002/adma.201705679. Epub 2018 Mar 25.
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Chemistry of crosslinking processes for self-healing polymers.自修复聚合物的交联过程化学。
Macromol Rapid Commun. 2013 Feb 25;34(4):290-309. doi: 10.1002/marc.201200689. Epub 2012 Dec 17.
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Self-healing materials.自修复材料。
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