The Complexity of Virtual Reality Technology in the Simulation and Modeling of Civil Mathematical Models-Reference-Cited by-同舟云学术

The Complexity of Virtual Reality Technology in the Simulation and Modeling of Civil Mathematical Models

Published:2022-07-15 Issue:0 Volume:0 Page:
ISSN:2444-8656
Container-title:Applied Mathematics and Nonlinear Sciences
language:en
Short-container-title:

Author:

Bai Qunxing¹,Salama Mohamed²

Affiliation:

1. School of Urban Construction , Hainan Vocational University of Science and Technology , Haikou , , China

2. College of Engineering , Applied Science University , Bahrain

Abstract

Abstract Because civil engineering structures include stressed structural members and unstressed non-structural members, it isn't easy to obtain the true parameters of the model when modeling. The article uses a virtual reality fuzzy random modeling to establish a steel bearing force model in civil engineering operations. We determined the relevant bearing capacity parameters based on the corrosion of steel bars in civil engineering. The research found that the numerical simulation method determined in this paper has grasped the essence of stress rate, concrete material properties, and dynamic load effect to a considerable extent.

Publisher

Walter de Gruyter GmbH

Subject

Applied Mathematics,Engineering (miscellaneous),Modeling and Simulation,General Computer Science

Link

https://www.sciendo.com/pdf/10.2478/amns.2022.2.0052

Reference10 articles.

1. Gençoğlu, M. & Agarwal, P. Use of Quantum Differential Equations in Sonic Processes. Applied Mathematics and Nonlinear Sciences., 2021; 6(1): 21–28

2. Touchent, K., Hammouch, Z. & Mekkaoui, T. A modified invariant subspace method for solving partial differential equations with non-singular kernel fractional derivatives. Applied Mathematics and Nonlinear Sciences., 2020; 5(2): 35–48

3. Sidorenko, A. A., Ivanov, V. V., & Sidorenko, S. A. Numerical simulation of rock massif stress state at normal fault at underground longwall coal mining. International Journal of Civil Engineering and Technology (IJCIET)., 2019; 1(10): 844–851

4. Zhou, J., Li, C., Koopialipoor, M., Jahed Armaghani, D., & Thai Pham, B. Development of a new methodology for estimating the amount of PPV in surface mines based on prediction and probabilistic models (GEP-MC). International Journal of Mining, Reclamation and Environment., 2021; 35(1): 48–68

5. Osipov, S. P., Yadrenkin, I. G., Chakhlov, S. V., Osipov, O. S., & Usachev, E. Y. Simulation Modeling in Digital Radiography with Allowance for Spatial Outlines of Test Objects. Russian Journal of Nondestructive Testing., 2020; 56(8): 647–660