Nonlinear stability and vibration analysis of fluid-conveying nanochannel scroll shells using an adaptive neuro-fuzzy inference system

IF 6.6 1区工程技术 Q1 ENGINEERING, CIVIL

Thin-Walled Structures Pub Date : 2025-09-04 DOI:10.1016/j.tws.2025.113931

Mostafa Siavashi, Morteza Dardel, Mohammad Hadi Pashaei

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引用次数: 0

Abstract

This study comprehensively investigates the vibrational characteristics and nonlinear stability of nanoscale scroll channel shells during fluid conveyance. By employing the First Shear Deformation Theory (FSDT) in conjunction with the Modified Couple Stress Theory (MCST), a detailed mathematical model is developed to accurately characterize the behavior of the nano scroll channel shell. Nonlinear equations incorporating von Kármán strains are derived to refine the precision of the stability analysis. Additionally, the influence of van der Waals forces, which are fundamental at the nanoscale, is systematically examined. The research investigates the interactions between fluid-induced forces, geometric nonlinearities, and nanoscale phenomena through rigorous computational modeling and numerical simulations. A nonlinear modeling database is established to facilitate in-depth analysis, integrating the geometric parameters and physical properties of nanochannels to support interpolation and extrapolation of key variables. Furthermore, machine learning frameworks, including Multilayer Perceptron Networks (MLP) and an Adaptive-Network-Based Fuzzy Inference System (ANFIS), are employed to predict natural frequencies with high accuracy, significantly enhancing predictive capabilities. This framework identifies various instability scenarios in nano scroll shell channels, including fluctuations in natural frequencies, fluid-induced instabilities, and bifurcation phenomena under diverse operational conditions. The findings contribute to a deeper understanding of the dynamic behavior and stability thresholds of nanoscale scroll shells in fluid environments, providing valuable insights for optimizing fluid transport systems and advancing research into nanoscale engineering applications.

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基于自适应神经模糊推理系统的输送流体纳米通道涡旋壳非线性稳定性及振动分析

本文对纳米尺度涡旋通道壳在流体输送过程中的振动特性和非线性稳定性进行了全面研究。利用第一次剪切变形理论（FSDT）和修正耦合应力理论（MCST），建立了精确表征纳米涡旋通道壳行为的数学模型。推导了包含von Kármán应变的非线性方程，以提高稳定性分析的精度。此外，范德华力的影响，这是基本的在纳米尺度，被系统地检查。该研究通过严格的计算模型和数值模拟来研究流体诱导力、几何非线性和纳米尺度现象之间的相互作用。为了便于深入分析，建立了非线性建模数据库，整合纳米通道的几何参数和物理性质，支持关键变量的插值和外推。此外，采用多层感知器网络（MLP）和基于自适应网络的模糊推理系统（ANFIS）等机器学习框架对固有频率进行了高精度预测，显著提高了预测能力。该框架确定了纳米涡旋壳通道中的各种不稳定情况，包括固有频率波动、流体诱导的不稳定以及不同操作条件下的分岔现象。这些发现有助于更深入地了解纳米级涡旋壳在流体环境中的动态行为和稳定性阈值，为优化流体输送系统和推进纳米级工程应用研究提供有价值的见解。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Thin-Walled Structures 工程技术-工程：土木

CiteScore

9.60

自引率

20.30%

发文量

801

审稿时长

66 days

期刊介绍： Thin-walled structures comprises an important and growing proportion of engineering construction with areas of application becoming increasingly diverse, ranging from aircraft, bridges, ships and oil rigs to storage vessels, industrial buildings and warehouses. Many factors, including cost and weight economy, new materials and processes and the growth of powerful methods of analysis have contributed to this growth, and led to the need for a journal which concentrates specifically on structures in which problems arise due to the thinness of the walls. This field includes cold– formed sections, plate and shell structures, reinforced plastics structures and aluminium structures, and is of importance in many branches of engineering. The primary criterion for consideration of papers in Thin–Walled Structures is that they must be concerned with thin–walled structures or the basic problems inherent in thin–walled structures. Provided this criterion is satisfied no restriction is placed on the type of construction, material or field of application. Papers on theory, experiment, design, etc., are published and it is expected that many papers will contain aspects of all three.