Robotics & Machine Learning Daily News2024,Issue(Nov.28) :202-203.

New Machine Learning Data Have Been Reported by Investigators at Nanyang Technol ogical University (Rapid and Automated Seismic Design of Cable Restrainer for Si mply Supported Bridges Crossing Fault Rupture Zones Using Explainable Machine .. .)

研究者报告了新的机器学习数据南洋理工大学(快速自动化)钢索斜拉桥限制器抗震设计使用可解释机器穿越断层破碎带。 .)

Robotics & Machine Learning Daily News2024,Issue(Nov.28) :202-203.

New Machine Learning Data Have Been Reported by Investigators at Nanyang Technol ogical University (Rapid and Automated Seismic Design of Cable Restrainer for Si mply Supported Bridges Crossing Fault Rupture Zones Using Explainable Machine .. .)

研究者报告了新的机器学习数据南洋理工大学(快速自动化)钢索斜拉桥限制器抗震设计使用可解释机器穿越断层破碎带。 .)

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摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-研究人员详细介绍机器学习的新数据。根据来自新加坡,新加坡,NewsRx Jour Nalists的研究表明,“近几十年来的地震已经证明了”过断层简支桥梁容易受到断层诱发的破坏永久地面错位。拉索限位器有可能降低桥梁的相对位移但目前限制器的抗震设计方法耗时费力。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in Machine Learning. According to news reporting fromSingapore, Singapore, by NewsRx jour nalists, research stated, “Earthquakes in recent decades have demonstratedthat fault-crossing simply supported bridges were susceptible to damage caused by the fault-inducedpermanent ground dislocation. Cable restrainer can potentially re duce the relative displacement of bridgespans, but the current seismic design m ethod for restrainer is time-consuming and labor-intensive.”

Key words

Singapore/Singapore/Asia/Cyborgs/Eme rging Technologies/Machine Learning/Nanyang Technological University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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