Buckling Load Estimation Using Multiple Linear Regression Analysis and Multigene Genetic Programming Method in Cantilever Beams with Transverse Stiffeners-Reference-Cited by-同舟云学术

Buckling Load Estimation Using Multiple Linear Regression Analysis and Multigene Genetic Programming Method in Cantilever Beams with Transverse Stiffeners

Published:2022-11-14 Issue:4 Volume:48 Page:5347-5370
ISSN:2193-567X
Container-title:Arabian Journal for Science and Engineering
language:en
Short-container-title:Arab J Sci Eng

Author:

Özbayrak Ahmet^ORCID,Ali Mohammed Kamal,Çıtakoğlu Hatice

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

Link

https://link.springer.com/content/pdf/10.1007/s13369-022-07445-6.pdf

Reference74 articles.

1. Timoshenko, S.P.; Gere, J.M.: Theory of Elastic Stability. In: Courier Corporation. Courier Corporation (2009)

2. Demirhan, A.L.; Eroğlu, H.E.; Mutlu, E.O.; Yılmaz, T.; Anil, Ö.: Experimental and numerical evaluation of inelastic lateral-torsional buckling of I-section cantilevers. J. Constr. Steel Res. (2020). https://doi.org/10.1016/j.jcsr.2020.105991

3. Özbaşaran, H.: Finite differences approach for calculating elastic lateral torsional buckling moment of cantilever I sections. Anadolu Üniversitesi Bilim Ve Teknol. Derg. A-Uygulamalı Bilim. ve Mühendislik. 14, 143–152 (2013)

4. Vigil, J.: Structural steel design: a practice-oriented approach (2014)

5. Andrade, A.; Camotim, D.: Lateral-torsional buckling of singly symmetric tapered beams: theory and applications. J. Eng. Mech. 131, 586–597 (2005). https://doi.org/10.1061/(asce)0733-9399(2005)131:6(586)

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Assessment of machine learning methods predicting the axial vibration frequencies of microbars;ZAMM - Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik;2023-12-31

2. The consumer price index prediction using machine learning approaches: Evidence from the United States;Heliyon;2023-10

3. Prediction of the standardized precipitation index based on the long short-term memory and empirical mode decomposition-extreme learning machine models: The Case of Sakarya, Türkiye;Physics and Chemistry of the Earth, Parts A/B/C;2023-10

4. Drought Forecasting Using Integrated Variational Mode Decomposition and Extreme Gradient Boosting;Water;2023-09-28

5. Fuzzy Logic and Artificial Neural Network Perceptron Multi-Layer and Radial Basis in Estimating Marandu Grass Yield in Integrated Systems;Communications in Soil Science and Plant Analysis;2023-09-04