New approach to solve fully fuzzy system of linear equations using single and double parametric form of fuzzy numbers

D Behera, S Chakraverty - Sadhana, 2015 - Springer
This paper proposes two new methods to solve fully fuzzy system of linear equations. The
fuzzy system has been converted to a crisp system of linear equations by using single and …

[HTML][HTML] Time response of structure with interval and random parameters using a new hybrid uncertain analysis method

X Feng, J Wu, Y Zhang - Applied Mathematical Modelling, 2018 - Elsevier
Practical structures often operate with some degree of uncertainties, and the uncertainties
are often modelled as random parameters or interval parameters. For realistic predictions of …

[HTML][HTML] Solving the nondeterministic static governing equations of structures subjected to various forces under fuzzy and interval uncertainty

D Behera, S Chakraverty - International Journal of Approximate Reasoning, 2020 - Elsevier
This paper investigates the static analysis of structures subjected to uncertain loads using
the fuzzy and interval finite element method. Uncertainties are considered in terms of interval …

A univariate Chebyshev polynomials method for structural systems with interval uncertainty

T Wei, F Li, G Meng, H Li - Probabilistic Engineering Mechanics, 2021 - Elsevier
This paper presents an effective univariate Chebyshev polynomials method (UCM) for
interval bounds estimation of uncertain structures with unknown-but-bounded parameters …

Bounds for uncertain structural problems with large-range interval parameters

T Wei, F Li, G Meng, W Zuo, D Yao - Archive of Applied Mechanics, 2021 - Springer
A novel bivariate interval function decomposition method is proposed and applied to predict
the bounds of structural response with large-range interval parameters. When the existing …

Connectionist model for solving static structural problems with fuzzy parameters

SK Jeswal, S Chakraverty - Applied Soft Computing, 2019 - Elsevier
In this article, a novel approach for solving static structural problems based on Artificial
Neural Network (ANN) has been presented. Various numerical methods are available to …

Optimization Design of Drum Brake Stability with Mixed Model of Random and Interval Variables

W Wang, J Li, G Liu, Z Zhang, J Wei, M Cheng… - Journal of Vibration …, 2023 - Springer
Purpose In view of the uncertain characteristics of drum brake squeal, a new method is
proposed in this study to optimize the stability of drum brake to suppress the squeal …

A dual-layer dimension-wise fuzzy finite element method for structural analysis with epistemic uncertainties

M Xu, J Du, C Wang, Y Li, L Wang, J Chen - Fuzzy Sets and Systems, 2019 - Elsevier
Epistemic uncertainty propagation is gaining momentum but remains a great challenge in
the numerical analysis of a mechanical system. A dual-layer dimension-wise analysis …

[HTML][HTML] Analysis of climate change mitigations by nuclear energy using nonlinear fuzzy set theory

TH Woo, KB Jang, CH Baek, J Du Choi - Nuclear Engineering and …, 2022 - Elsevier
Following the climate-related disasters considered by several efforts, the nuclear capacity
needs to double by 2050 compared to 2015. So, it is reasonable to investigate global …

Parameter Identification of Multistorey Frame Structure from Uncertain Dynamic Data.

S Chakraverty, D Behera - Journal of Mechanical …, 2014 - search.ebscohost.com
Structural dynamics problems may be categorized as direct or inverse problems. The direct
problem consists of finding the response for a specified input or excitation. In the inverse …