利用电磁干扰技术监测砂岩的硫氧化细菌效应

Kushlendra Lal Kharwar, Anupam Rawat
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引用次数: 0

摘要

自人类文明诞生以来,砂岩一直是一种神奇的建筑材料。过去曾观察到许多导致砂岩损坏或变质的原因,其中之一就是硫氧化细菌(SOB)和蓝藻。一般来说,硫氧化细菌存在于土壤、空气、水、湿度和人类活动中。硫化合物(如硫化氢、硫代硫酸盐或硫元素)的氧化为 SOB 提供了能量。这些微生物会导致建筑材料腐烂,尤其是石头、金属或混凝土材料。硫氧化过程会影响砂岩的机械性能。机械性能与强度有关。机械性能的丧失可能是导致砂岩变形、开裂、坍塌和灾难性破坏的原因。通过监测和评估可以了解结构的行为并预防灾难性破坏。本研究论文包含表面粘结压电锆酸铅钛的机电阻抗应用。从历史遗址中采集了砂岩样本和土壤样本。实验中使用了两组圆柱形砂岩试样。每六个月测量一次电导特征和电感特征。特征曲线的变化和移动被用来识别结构行为的变化。统计方法(如均方根偏差)被用于量化损伤。在均方根偏差百分比的基础上生成了一个等式,用于量化损害预测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Monitoring the sulphur-oxidizing bacterial effect of sandstone using the EMI technique

Monitoring the sulphur-oxidizing bacterial effect of sandstone using the EMI technique

Since the dawn of civilization, sandstone has been a fantastic building material. Numerous causes have been observed in the past for sandstone damage or deterioration, one of which is sulphur-oxidizing bacteria (SOB) and cyanobacteria. In general, SOB is present in the soil, air, water, humidity, and human activity. The oxidation of sulphur compounds, such as hydrogen sulphide, thiosulphate, or elements of sulphur, provides energy for SOB. These microorganisms contribute to the decay of buildings materials, especially those made of stone, metal, or concrete. The sulphur oxidizing process affects the mechanical properties of sandstone. Mechanical properties are related to strength. Losses of mechanical properties may be the reason for deflection, cracking, collapse, and catastrophic failure of sandstone. Monitoring and evaluation gives an idea about the behavior of structure and the prevention of catastrophic failure. This research paper contains the application of electromechanical impedance with surface bonded Piezoelectric Lead Zirconate Titanate. The sandstone samples and soil samples have been collected from the historical site. Two sets of cylindrical types of sandstone specimens have been used in experimental work. The conductance signature and susceptance signature have been measured every six months. The variation and shifting of the signature curve have been used to identify the structural behavioral change. Statistical methods like the root mean square deviation have been used for the quantification of damage. An equitation has been generated on the basis of the percentage root mean square deviation to quantify the prediction of damages.

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