Robotics & Machine Learning Daily News2024,Issue(Jun.14) :84-85.

Researchers at University of Canterbury Have Reported New Data on Machine Learning (Unified Machine-learning-based Design Method for Normal and High Strength Steel I-section Beamcolumns)

坎特伯雷大学的研究人员报告了机器学习(基于机器学习的普通和高强工字钢梁柱统一设计方法)的新数据

Robotics & Machine Learning Daily News2024,Issue(Jun.14) :84-85.

Researchers at University of Canterbury Have Reported New Data on Machine Learning (Unified Machine-learning-based Design Method for Normal and High Strength Steel I-section Beamcolumns)

坎特伯雷大学的研究人员报告了机器学习(基于机器学习的普通和高强工字钢梁柱统一设计方法)的新数据

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摘要

机器人与机器学习的新闻编辑每日新闻-机器学习的新研究是一篇报道的主题。根据新西兰克赖斯特彻奇的新闻报道,NewsRx记者称,“高强度钢因其优越的力学性能被认为是一种有前途的建筑材料。然而,由于缺乏高强度钢结构的相关设计规范,对高强度钢焊接工字形截面梁柱的规范失效荷载预测在某些情况下并不准确。”

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news reporting originating from Christchurch , New Zealand, by NewsRx correspondents, research stated, “High strength steel is regarded as a promising construction material due to its superior mechanical properties. However, the codified failure load predictions for high strength steel welded I-section beam-columns are not accurate in some cases owing to the lack of relevant design codes for high strength steel structures.”

Key words

Christchurch/New Zealand/Australia and New Zealand/Cyborgs/Emerging Technologies/Machine Learning/University of Canterbury

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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