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桩基检测技术研究进展 被引量:3

Research Progress of Pile Foundation Detection Technology
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摘要 桩基础虽然是一种应用最为广泛的深基础形式,但桩基工程属于地下隐蔽工程,工程质量往往不容易控制,一旦质量出现问题将会造成巨大的经济损失。因此,采用恰当的检测技术对桩基质量进行全面准确的评价具有重要的现实意义。根据桩基检测方法的基本原理开展研究,综合国内外应用广泛的桩基检测技术发展动态,对桩身完整性、桩基承载力与强度、新型桩基检测技术与机器学习三方面展开讨论。研究表明:尽管传统的桩基检测方法仍是实际工程中最常用的检测技术,但已逐渐无法满足当下对桩基工程高质量、高效率、高标准的要求。相比常规的单一检测方法,适用性更强的新型桩基检测技术能更全面准确地反映桩基的真实情况。同时,随着人工智能技术的高速发展,桩基检测技术也朝着专业化、规范化、智能化的方向发展。 Although the pile foundation is the most widely used form of deep foundation,the pile foundation project belongs to the underground concealed project,and the quality of the project is often not easy to control.Once the quality problem occurs,it will cause huge economic losses.Therefore,it is of great practical significance to use appropriate detection technology to comprehensively and accurately evaluate the quality of pile foundation.According to the basic principle of pile foundation detection method,the research is carried out.Based on the development trend of pile foundation detection technology widely used at home and abroad,the pile integrity,pile foundation bearing capacity and strength,new pile foundation detection technology and machine learning are discussed.The research shows that although the traditional pile foundation detection method is still the most commonly used detection technology in practical engineering,it has gradually failed to meet the requirements of modern society for high quality,high efficiency and high standard of pile foundation engineering.Compared with the conventional single detection method,the new pile foundation detection method with stronger applicability can reflect the real situation of pile foundation more comprehensively and accurately.At the same time,with the rapid development of artificial intelligence technology,pile foundation detection technology is also developing in the direction of specialization,standardization and intelligence.
作者 郑海源 缪易辰 潘文 白恺霖 陈康亮 朱豪伟 ZHENG Haiyuan;MIAO Yichen;PAN Wen;BAI Kaiin;CHEN Kangiang;ZHU Haowei(Faculty of Civil Engineering and Mechanics,Kunming University of Science and Technology,Kunming,Yunnan650500,China;Earthquake Engineering Researching Center of Yunnan,Kunming,Yunnan650500,China;Sichuan Highway Planning,Survey,Design and Research Institute Co.,Ltd.,Chengdu,Sichuan610041,China)
出处 《施工技术(中英文)》 CAS 2024年第1期4-10,共7页 Construction Technology
基金 国家重点研发计划(2020YFD1100703-04) 云南省科技厅重点研发计划(202003AC100001)。
关键词 桩基础 检测技术 人工智能 机器学习 piles detection artificial intelligent machine learning
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