Robotics & Machine Learning Daily News2024,Issue(Jun.21) :24-25.

Data on Geotechnical Engineering Detailed by Researchers at Brunel University Lo ndon (A Machine Learning-assisted Nondestructive Testing Method Based On Time-do main Wave Signals)

Brunel University Lo Ndon研究人员详细介绍的岩土工程数据(一种基于time-do主波信号的机器学习辅助无损检测方法)

Robotics & Machine Learning Daily News2024,Issue(Jun.21) :24-25.

Data on Geotechnical Engineering Detailed by Researchers at Brunel University Lo ndon (A Machine Learning-assisted Nondestructive Testing Method Based On Time-do main Wave Signals)

Brunel University Lo Ndon研究人员详细介绍的岩土工程数据(一种基于time-do主波信号的机器学习辅助无损检测方法)

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摘要

由一名新闻记者-机器人与机器学习的工作人员新闻编辑-每日新闻-调查人员发布关于工程-岩土工程的新报告。根据NewsRx记者从英国伦敦发回的新闻报道,研究表明:“结构构件或地质体缺陷的非破坏性测试(NDT)在工程勘测和施工中是必不可少的。鉴于天然岩石或岩体的复杂性,其中缺陷的无损检测在岩土工程中具有极大的挑战性。”本研究的资助单位包括南方大学-莫纳什大学联合研究生院岩石动力学实验室、国家自然科学基金(NSFC)、中国矿业大学地质力学与深部地下工程国家重点实验室。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators publish new report on En gineering - Geotechnical Engineering. According to news reporting originating fr om London, United Kingdom, by NewsRx correspondents, research stated, "The nonde structive testing (NDT) of defects in structure members or geological bodies is essential in engineering survey and construction. Given the complexity of natura l rock or rock masses, the NDT of defects within them is extremely challenging i n geotechnical engineering." Financial supporters for this research include Rock Dynamic Laboratory in Southe ast University-Monash University Joint Graduate School, National Natural Science Foundation of China (NSFC), State Key Laboratory for GeoMechanics and Deep Unde rground Engineering, China University of Mining Technology.

Key words

London/United Kingdom/Europe/Cyborgs/Emerging Technologies/Engineering/Geotechnical Engineering/Machine Learning/Support Vector Machines/Brunel University London

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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