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Predicting and controlling the cement intake during curtain grouting of dam foundations
European Journal of Environmental and Civil Engineering ( IF 2.1 ) Pub Date : 2020-12-26 , DOI: 10.1080/19648189.2020.1847689
Denghua Zhong 1 , Zongxian Liu 1 , Zhe Su 1 , Kai Li 1 , Xiaochao Li 1
Affiliation  

Abstract

Cement intake is a key factor that must be precisely controlled during the curtain grouting construction process. However, in traditional grouting construction, the amount of cement intake depends on the personnel experience, and thus, it is desirable to formulate a scientific control criterion and control method. To this end, in this study, a method to predict and control the cement intake was developed. Based on the fractal theory, the relationship between the cement intake and transmissivity was established considering the fracture roughness, and a control criterion for the cement intake was established. Furthermore, a model to predict the cement intake, based on the mixed kernel function support vector machine optimized using the Lévy flight trajectory-based whale optimization algorithm was developed. Based on these aspects, the method to predict and control the cement intake was established, and a case study was performed to demonstrate the effectiveness and advantages of the proposed method. The proposed approach can overcome the limitations of the conventional practice, in which the quality control is often manual and subjective. Moreover, the approach can help realize grouting quality control in complex construction situations, providing a strong technical guarantee for lean construction and long-term safe operation of dam foundations.



中文翻译:

坝基帷幕灌浆水泥进水量预测与控制

摘要

水泥进水量是帷幕灌浆施工过程中必须精确控制的关键因素。然而,在传统的注浆施工中,水泥用量取决于人员的经验,因此需要制定科学的控制标准和控制方法。为此,在本研究中,开发了一种预测和控制水泥摄入量的方法。基于分形理论,建立了考虑裂缝粗糙度的水泥进水量与透水率的关系,并建立了水泥进水量的控制准则。此外,还开发了一种基于混合核函数支持向量机的水泥摄入量预测模型,该支持向量机使用基于 Lévy 飞行轨迹的鲸鱼优化算法进行优化。基于这些方面,建立了水泥用量的预测和控制方法,并通过案例研究证明了该方法的有效性和优势。所提出的方法可以克服传统实践的局限性,其中质量控制通常是手动和主观的。此外,该方法有助于实现复杂施工情况下的注浆质量控制,为坝基的精益施工和长期安全运行提供有力的技术保障。

更新日期:2020-12-26
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