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Laboratory modelling of strength and deformation characteristics of a high swelling soil treated with industrial wastes
Arabian Journal of Geosciences Pub Date : 2020-08-06 , DOI: 10.1007/s12517-020-05786-w
Javairia Mumtaz , Imtiaz Rashid , Jahanzaib Israr

Presence of swelling soils in the foundations may cause excessive damage to the buildings, pavements and other lightweight structures due to its differential volume changes with the moisture. On the other hand, some of the massively generated industrial wastes offer engineering characteristics, which may be utilized with a twofold benefit of cleaned environment and soil stabilization. In this study, silica fumes and scrap rubber powder from local industry have been mixed with a highly expansive soil in different proportions to improve its strength and deformation characteristics. Furthermore, scanning electron microscope images were studied to understand the effects of additives on the stabilization mechanism of the expansive soils. The analyses of results confirmed that these industrial wastes could markedly improve the undrained shear strength and sufficiently decrease the swelling characteristics of tested soil. A set of empirical correlations have also been proposed to predict both swell potential and pressure that could be subsequently verified through additional experimental data obtained from additional published studies. In essence, the proposed empirical correlations could predict the behaviour of the tested additional data with a standard error of mean well within ±10% that may be suitable for preliminary assessments of most practical sites.



中文翻译:

用工业废物处理的高膨胀土的强度和变形特性的实验室模型

由于其体积随湿度的变化而变化,地基中存在膨胀的土壤可能会对建筑物,人行道和其他轻质结构造成过度破坏。另一方面,一些大量产生的工业废物具有工程特征,可以利用其具有清洁环境和土壤稳定的双重好处。在这项研究中,将来自当地工业的硅粉和废橡胶粉按不同比例与高度膨胀的土壤混合,以改善其强度和变形特性。此外,研究了扫描电子显微镜图像,以了解添加剂对膨胀土稳定机理的影响。结果分析证实,这些工业废料可以显着提高不排水的剪切强度,并充分降低被测土壤的溶胀特性。还提出了一组经验相关性,以预测膨胀潜能和压力,随后可以通过从其他已发表的研究中获得的其他实验数据进行验证。从本质上讲,建议的经验相关性可以预测测试的其他数据的行为,其平均标准误差在±10%的范围内,这可能适合大多数实际场所的初步评估。还提出了一组经验相关性,以预测膨胀潜能和压力,随后可以通过从其他已发表的研究中获得的其他实验数据进行验证。从本质上讲,建议的经验相关性可以预测测试的其他数据的行为,其平均标准误差在±10%的范围内,这可能适合大多数实际场所的初步评估。还提出了一组经验相关性,以预测膨胀潜能和压力,随后可以通过从其他已发表的研究中获得的其他实验数据进行验证。从本质上讲,建议的经验相关性可以预测测试的其他数据的行为,其平均标准误差在±10%的范围内,这可能适合大多数实际场所的初步评估。

更新日期:2020-08-06
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