{"title":"Uncertainty analysis of thermal stresses in shell structure subjected to thermal loads","authors":"Kushan Prasad Verma, Prasant Kumar Swain, Dipak Kumar Maiti, Bhrigu Nath Singh","doi":"10.1007/s10999-023-09642-z","DOIUrl":null,"url":null,"abstract":"<div><p>This work is focused on developing a stochastic model to study the effect of randomness in material properties of functionally graded material, of shell structure under the effect of thermal shock. A modified and more general form of power law is utilized to functionally grade the shells along their thickness. Upon consideration of the uncertainty in the constituent properties of functionally graded material the transient temperature distribution and therefore the development of the thermal stresses in the shells are obtained and analysed. The conventionally used Monte Carlo simulation is performed for validating computationally efficient Response Surface Method based Perturbation technique, which is subsequently applied to perform stochastic analysis of thermal stresses. For various distribution patterns of the constituent materials in the functionally graded material, the randomness of thermal stresses across the thickness of the shell structure due to uncertainty in input properties is analysed. Moreover with different level of uncertainty the maximum stochasticity of thermal stresses is predicted and plotted.</p></div>","PeriodicalId":593,"journal":{"name":"International Journal of Mechanics and Materials in Design","volume":"19 3","pages":"621 - 643"},"PeriodicalIF":2.7000,"publicationDate":"2023-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s10999-023-09642-z.pdf","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Mechanics and Materials in Design","FirstCategoryId":"88","ListUrlMain":"https://link.springer.com/article/10.1007/s10999-023-09642-z","RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, MECHANICAL","Score":null,"Total":0}
引用次数: 1
Abstract
This work is focused on developing a stochastic model to study the effect of randomness in material properties of functionally graded material, of shell structure under the effect of thermal shock. A modified and more general form of power law is utilized to functionally grade the shells along their thickness. Upon consideration of the uncertainty in the constituent properties of functionally graded material the transient temperature distribution and therefore the development of the thermal stresses in the shells are obtained and analysed. The conventionally used Monte Carlo simulation is performed for validating computationally efficient Response Surface Method based Perturbation technique, which is subsequently applied to perform stochastic analysis of thermal stresses. For various distribution patterns of the constituent materials in the functionally graded material, the randomness of thermal stresses across the thickness of the shell structure due to uncertainty in input properties is analysed. Moreover with different level of uncertainty the maximum stochasticity of thermal stresses is predicted and plotted.
期刊介绍:
It is the objective of this journal to provide an effective medium for the dissemination of recent advances and original works in mechanics and materials'' engineering and their impact on the design process in an integrated, highly focused and coherent format. The goal is to enable mechanical, aeronautical, civil, automotive, biomedical, chemical and nuclear engineers, researchers and scientists to keep abreast of recent developments and exchange ideas on a number of topics relating to the use of mechanics and materials in design.
Analytical synopsis of contents:
The following non-exhaustive list is considered to be within the scope of the International Journal of Mechanics and Materials in Design:
Intelligent Design:
Nano-engineering and Nano-science in Design;
Smart Materials and Adaptive Structures in Design;
Mechanism(s) Design;
Design against Failure;
Design for Manufacturing;
Design of Ultralight Structures;
Design for a Clean Environment;
Impact and Crashworthiness;
Microelectronic Packaging Systems.
Advanced Materials in Design:
Newly Engineered Materials;
Smart Materials and Adaptive Structures;
Micromechanical Modelling of Composites;
Damage Characterisation of Advanced/Traditional Materials;
Alternative Use of Traditional Materials in Design;
Functionally Graded Materials;
Failure Analysis: Fatigue and Fracture;
Multiscale Modelling Concepts and Methodology;
Interfaces, interfacial properties and characterisation.
Design Analysis and Optimisation:
Shape and Topology Optimisation;
Structural Optimisation;
Optimisation Algorithms in Design;
Nonlinear Mechanics in Design;
Novel Numerical Tools in Design;
Geometric Modelling and CAD Tools in Design;
FEM, BEM and Hybrid Methods;
Integrated Computer Aided Design;
Computational Failure Analysis;
Coupled Thermo-Electro-Mechanical Designs.