Strength prediction of steel CHS X-joints via leveraging finite element method and machine learning solutions-Reference-Cited by-同舟云学术

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Strength prediction of steel CHS X-joints via leveraging finite element method and machine learning solutions

Published:2021-01 Issue: Volume:176 Page:106394
ISSN:0143-974X
Container-title:Journal of Constructional Steel Research
language:en
Short-container-title:Journal of Constructional Steel Research

Author:

Kim Seon-Hu,Song Xi,Cho Chunhee,Lee Cheol-Ho

Funder

POSCO Affiliated Research Professor Program

Publisher

Elsevier BV

Subject

Metals and Alloys,Mechanics of Materials,Building and Construction,Civil and Structural Engineering

Reference26 articles.

1. Hollow Sections in Structural Applications;Wardenier,2010

2. Experimental Study on Mechanical Behavior of Tubular Joints;Togo,1967

3. Ultimate Strength of Tubular Joints (OTC 2644);Pan,1976

4. Ultimate Strength of Tubular Joints: Chord Stress Effects (OTC 4828);Boone,1984

5. The Effect of Chord Stresses on the Static Strength of DT Tubular Connections (OTC 5135);Weinstein,1986

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5. A Machine Learning-Based Surrogate Finite Element Model for Estimating Dynamic Response of Mechanical Systems;IEEE Access;2023

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