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SMW工法桩在深厚淤泥质软土地层中的施工优化研究

Research on construction optimization of SMW pile in deep muddy soft soil layers
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摘要 本文基于温州地区深厚淤泥质软土地层的工程实践,针对SMW工法桩施工中存在的桩机移位对中困难、型钢插放精度不足及施工成本较高等问题,提出了一系列改进和优化措施。通过改进桩机移位对中和型钢插放对中的方法,利用履板与挡土盖板的相对位移及标识物,实现了桩机快速、准确就位。优化了型钢插放方式,采用桩机副吊结合挖机轻压的方式,降低了施工成本并提高了效率。通过设置型钢导向定位器和轴承式导向装置,有效控制了型钢插放的垂直度和中心位置。实践表明,改进后的施工方法显著提高了施工效率(从22~25根/天提升至38~40根/天),降低了机械和人工成本,并减少了噪声及震动对周边环境的影响。本文的研究成果为淤泥质软土地层中SMW工法桩的施工提供了切实可行的技术参考。 This article is based on the engineering practice of deep muddy soft soil layers in the Wenzhou area,and proposes a series of improved and optimized measures to address the problems of difficult alignment of pile drivers,insufficient accuracy of steel insertion,and high construction costs in SMW pile construction.By improving the method of aligning the displacement of the pile driver with the insertion of the steel,and utilizing the relative displacement and markers between the track shoe and the retaining cover plate,the pile driver was quickly and accurately positioned.The insertion method of steel sections has been optimized by using a combination of pile driver auxiliary crane and excavator light pressure,which reduces the construction costs and improves the efficiency.In addition,by setting up steel guide locators and bearing type guide devices,the verticality and center position of steel insertion have been effectively controlled.Practice has shown that the improved construction method significantly improves the construction efficiency(from 22~25 pieces/day to 38~40 pieces/day),reduces the machinery and labor costs,and minimizes the impact of noise and vibration on the surrounding environment.The research results provide practical and feasible technical references for the construction of SMW method piles in silty soft soil layers.
作者 黄伟钧 HUANG Weijun(Wenzhou Zhenan Geology Engineering Co.,Ltd.,Wenzhou Zhejiang 325000,China)
出处 《钻探工程》 2025年第5期148-153,共6页 Drilling Engineering
关键词 SMW工法桩 型钢插放 深厚淤泥质软土 施工优化 成本控制 SMW pile section steel insersion deep muddy soft soil layers construction optimization cost control
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