Robotics & Machine Learning Daily News2024,Issue(Nov.28) :174-175.

Studies in the Area of Machine Learning Reported from Nanyang Technological Univ ersity (Unified Machine-learning-aided Design of Cold-formed Steel Channel Secti on Columns With Different Buckling Modes At Ambient and Elevated Temperatures)

南阳机器学习研究报告工科大学(统一机器学习辅助设计)冷弯薄壁型钢槽形截面在不同屈曲状态下的环境温度和高温下的模式

Robotics & Machine Learning Daily News2024,Issue(Nov.28) :174-175.

Studies in the Area of Machine Learning Reported from Nanyang Technological Univ ersity (Unified Machine-learning-aided Design of Cold-formed Steel Channel Secti on Columns With Different Buckling Modes At Ambient and Elevated Temperatures)

南阳机器学习研究报告工科大学(统一机器学习辅助设计)冷弯薄壁型钢槽形截面在不同屈曲状态下的环境温度和高温下的模式

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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-关于机器学习的详细数据已经呈现。根据新闻报道由NewsRx记者发起的新加坡研究称,“由于易于制造,”冷弯薄壁槽钢构件在建筑行业中得到广泛应用。然而,开的和非双对称的几何形状使它们更容易屈曲,特别是在极端负载条件,如火灾。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on Machine Learning have been presented. According to news reportingoriginating in Singapore, Singapore , by NewsRx journalists, research stated, “Due to the ease of fabrication,cold- formed steel channel section members have gained popularity in the construction industry. However,the open and non-doubly symmetric geometries make them vulner able to buckling, particularly underextreme loading conditions, such as fire.”

Key words

Singapore/Singapore/Asia/Cyborgs/Eme rging Technologies/Machine Learning/Support Vector Machines/Vector Machines/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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