Optimization of Burgers creep damage model of frozen silty clay based on fuzzy random particle swarm algorithm

Abstract The creep characteristics of frozen rock and soil are crucial for construction safety in cases of underground freezing. Uniaxial compression tests and uniaxial creep tests were performed at temperatures of − 10, − 15, − 20, and − 25 °C for silty clay used in Nantong metro freezing construct...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Yafeng Yao, Hua Cheng, Jian Lin, Jingchen Ji
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/4ed9189011d94f7fa485b8cbd48e11ca
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:4ed9189011d94f7fa485b8cbd48e11ca
record_format	dspace
spelling	oai:doaj.org-article:4ed9189011d94f7fa485b8cbd48e11ca2021-12-02T18:14:08ZOptimization of Burgers creep damage model of frozen silty clay based on fuzzy random particle swarm algorithm10.1038/s41598-021-98374-12045-2322https://doaj.org/article/4ed9189011d94f7fa485b8cbd48e11ca2021-09-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-98374-1https://doaj.org/toc/2045-2322Abstract The creep characteristics of frozen rock and soil are crucial for construction safety in cases of underground freezing. Uniaxial compression tests and uniaxial creep tests were performed at temperatures of − 10, − 15, − 20, and − 25 °C for silty clay used in Nantong metro freezing construction to investigate the effect law of the stress–strain curves and creep curves. However, owing to the complex effects of factors such as temperature and ground pressure, the mechanical properties of underground frozen silty clay are uncertain. The Burgers creep damage model was established by using an elastic damage element to simulate the accelerated creep stage. The traditional particle swarm optimization algorithm was improved using the inertia weight and the fuzzy random coefficient. The creep parameters of the Burgers damage model were optimized using the improved fuzzy random particle swarm algorithm at different temperatures and pressure levels. Engineering examples indicated that the optimized creep model can more effectively characterize the creep stages of frozen silty clay in Nantong metro freezing construction. The improved fuzzy random particle swarm algorithm has wider engineering applicability and faster convergence than the traditional algorithm.Yafeng YaoHua ChengJian LinJingchen JiNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-12 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Yafeng Yao Hua Cheng Jian Lin Jingchen Ji Optimization of Burgers creep damage model of frozen silty clay based on fuzzy random particle swarm algorithm
description	Abstract The creep characteristics of frozen rock and soil are crucial for construction safety in cases of underground freezing. Uniaxial compression tests and uniaxial creep tests were performed at temperatures of − 10, − 15, − 20, and − 25 °C for silty clay used in Nantong metro freezing construction to investigate the effect law of the stress–strain curves and creep curves. However, owing to the complex effects of factors such as temperature and ground pressure, the mechanical properties of underground frozen silty clay are uncertain. The Burgers creep damage model was established by using an elastic damage element to simulate the accelerated creep stage. The traditional particle swarm optimization algorithm was improved using the inertia weight and the fuzzy random coefficient. The creep parameters of the Burgers damage model were optimized using the improved fuzzy random particle swarm algorithm at different temperatures and pressure levels. Engineering examples indicated that the optimized creep model can more effectively characterize the creep stages of frozen silty clay in Nantong metro freezing construction. The improved fuzzy random particle swarm algorithm has wider engineering applicability and faster convergence than the traditional algorithm.
format	article
author	Yafeng Yao Hua Cheng Jian Lin Jingchen Ji
author_facet	Yafeng Yao Hua Cheng Jian Lin Jingchen Ji
author_sort	Yafeng Yao
title	Optimization of Burgers creep damage model of frozen silty clay based on fuzzy random particle swarm algorithm
title_short	Optimization of Burgers creep damage model of frozen silty clay based on fuzzy random particle swarm algorithm
title_full	Optimization of Burgers creep damage model of frozen silty clay based on fuzzy random particle swarm algorithm
title_fullStr	Optimization of Burgers creep damage model of frozen silty clay based on fuzzy random particle swarm algorithm
title_full_unstemmed	Optimization of Burgers creep damage model of frozen silty clay based on fuzzy random particle swarm algorithm
title_sort	optimization of burgers creep damage model of frozen silty clay based on fuzzy random particle swarm algorithm
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/4ed9189011d94f7fa485b8cbd48e11ca
work_keys_str_mv	AT yafengyao optimizationofburgerscreepdamagemodeloffrozensiltyclaybasedonfuzzyrandomparticleswarmalgorithm AT huacheng optimizationofburgerscreepdamagemodeloffrozensiltyclaybasedonfuzzyrandomparticleswarmalgorithm AT jianlin optimizationofburgerscreepdamagemodeloffrozensiltyclaybasedonfuzzyrandomparticleswarmalgorithm AT jingchenji optimizationofburgerscreepdamagemodeloffrozensiltyclaybasedonfuzzyrandomparticleswarmalgorithm
_version_	1718378450787500032

Optimization of Burgers creep damage model of frozen silty clay based on fuzzy random particle swarm algorithm

Ejemplares similares