Predicting the compressive strength of advanced concrete structures by developed African vulture optimization algorithm-Elman neural networks-Reference-Cited by-同舟云学术

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Predicting the compressive strength of advanced concrete structures by developed African vulture optimization algorithm-Elman neural networks

Published:2024-07-11 Issue: Volume: Page:1-14
ISSN:1537-6494
Container-title:Mechanics of Advanced Materials and Structures
language:en
Short-container-title:Mechanics of Advanced Materials and Structures

Author:

Xiong Tiantian¹²³,Fan Gang⁴,Khairy Yasmin⁵

Affiliation:

1. College of Urban Construction, Xi’an Siyuan University, Xian, P.R. China

2. School of Human Settlements and Civil Engineering, Xi’an Jiao Tong University, Xian, P.R. China

3. Faculty of Engineering Science and Technology, Infrastructure University Kuala Lumpur, Malaysia

4. China Construction Industrial &Energy Engineering Group Co., Ltd (West China), Xian, P.R. China

5. Department of physics, College of Science, King Khalid University, Abha 61413, Saudi Arabia

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/15376494.2024.2368669

Reference79 articles.

1. Analysis of plate reinforced by straight and curved stiffeners by using novel plate elements with refined through-the-thickness expansion

2. Accuracy of refined finite elements for laminated plate analysis

3. Evaluation of the influence of voids on 3D representative volume elements of fiber-reinforced polymer composites using CUF micromechanics

4. Carrera unified formulation (CUF) for the micropolar beams: Analytical solutions

5. Refined multilayered beam, plate and shell elements based on Jacobi polynomials

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