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Design concepts of an aircraft wing： composite and morphing airfoil with auxetic structures

Frontiers of Structural and Civil Engineering 2016年第4期10卷 394-408页

作者： P r budarapu Sudhir Sastry Y B r NATArAJAN Department of Aerospace Engineering Indian Institute of Science Bangalore 560 012 India Department of Aeronautical Engineering College of Engineering Defence University Ethiopia Department of Aeronautical Engineering Institute of Aeronautical Engineering Hyderabad India

This paper is categorized into two parts. （1） A frame work to design the aircraft wing structure and （2） analysis ofa morphing airfoil with auxetic structure. The developed design frame work in the first part is used to arrive at the sizes of the various components of an aircraft wing structure. The strength based design is adopted, where the design loads are extracted from the aerodynamic loads. The aerodynamic loads acting on a wing structure are converted to equivalent distributed loads, which are further converted point loads to arrive at the shear forces, bending and twisting moments along the wing span. Based on the estimated shear forces, bending and twisting moments, the strength based design is employed to estimate the sizes of various sections of a composite wing structure. A three dimensional numerical model of the composite wing structure has been developed and analyzed for the extreme load conditions. Glass fiber reinforced plastic material is used in the numerical analysis. The estimated natural frequencies are observed to be in the acceptable limits. Furthermore, the discussed design principles in the first part are extended to the design of a morphing airfoil with auxetic structure. The advantages of the morphing airfoil with auxetic structure are （i） larger displacement with limited straining of the components and （ii） unique deformation characteristics, which produce a theoretical in-plane Poisson＇s ratio of -1. Aluminum Alloy AL6061-T651 is considered in the design of all the structural elements. The compliance characteristics of the airfoil are investigated through a numerical model. The numerical results are observed to be in close agreement with the experimental results in the literature.

关键词： wing design aerodynamic loads morphing airfoil auxetic structures negative Poisson's ratio

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Impact analysis of compressor rotor blades of an aircraft engine

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Frontiers of Structural and Civil Engineering 2019年第3期13卷 505-514页

作者： Y B SUDHIr SASTrY B G KIrOS F HAILU r budarapu Department of Aeronautical Engineering Institute of Aeronautical EngineeringDundigalHyderabad 500043India Department of Aeronautical Engineering College of EngineeringDefense UniversityBishoftu 1041Ethiopia School of Mechanical Sciences Indian Institute of Technology BhubaneswarBhubaneswar 752050India

Frequent failures due to foreign particle impacts are observed in compressor blades of the interceptor fighter MIG-23 aircraft engines in the Ethiopian air force,supplied by the Dejen Aviation *** this paper,we made an attempt to identify the causes of failure and hence recommend the suitable materials to withstand the foreign particle *** and stress analysis of one of the recently failed MIG-23 gas turbine compressor blades made up of the following Aluminum based alloys:6061-T6,7075-T6,and 2024-T4,has been performed,apart from the impact analysis of the rotor blades hit by a granite *** numerical results are correlated to the practical *** on the modal,stress and impact analysis and the material properties of the three considered alloys,alloy 7075-T6 has been recommended as the blade material.

关键词： axial flow compressor rotor and stator blades aircraft engine stress and impact analysis aluminum alloys

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Vibration analysis of multi-walled carbon nanotubes embedded in elastic medium

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Frontiers of Structural and Civil Engineering 2014年第2期8卷 151-159页

作者： Pattabhi r. budarapu Sudhir Sastry YB Brahmanandam JAVVAJI D. roy MAHAPATrA Institute of Structural Mechanics Bauhaus University of Weimar Weimar 99423 Germany Deptarment of Aeronautical Engineering Institute of Aeronautical Engineering Hyderabad 500043 India Department of Aerospace Engineering Indian Institute of Science Bangalore 560012 India

We propose a method to estimate the natural frequencies of the multi-walled carbon nanotubes （MWCNTs） embedded in an elastic medium. Each of the nested tubes is treated as an individual bar interacting with the adjacent nanotubes through the inter-tube Van der Waals forces. The effect of the elastic medium is introduced through an elastic model. The mathematical model is finally reduced to an eigen value problem and the eigen value problem is solved to arrive at the inter-tube resonances of the MWCNTs. Variation of the natural frequencies with different parameters are studied. The estimated results from the present method are compared with the literature and results are observed to be in close agreement.

关键词： natural frequencies multi-walled carbon nanotubes (MWCNTS) elastic medium

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An artificial neural network based deep collocation method for the solution of transient linear and nonlinear partial differential equations

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Frontiers of Structural and Civil Engineering 2024年第8期18卷 1296-1310页

作者： Abhishek MISHrA Cosmin ANITESCU Pattabhi ramaiah budarapu Sundararajan NATArAJAN Pandu rang VUNDAVILLI Timon rABCZUK School of Mechanical Sciences Indian Institute of TechnologyBhubaneswar 752050India Institute of Structural Mechanics Bauhaus University of WeimarWeimar 99423Germany Department of Mechanical Engineering Indian Institute of Technology MadrasChennai 600036India

A combined deep machine learning(DML)and collocation based approach to solve the partial differential equations using artificial neural networks is *** developed method is applied to solve problems governed by the Sine–Gordon equation(SGE),the scalar wave equation and *** methods are studied:one is a space-time formulation and the other is a semi-discrete method based on an implicit runge–Kutta(rK)time *** methodology is implemented using the Tensorflow framework and it is tested on several numerical *** on the results,the relative normalized error was observed to be less than 5%in all cases.

关键词： collocation method artificial neural networks deep machine learning Sine-Gordon equation transient wave equation dynamic scalar and elasto-dynamic equation runge-Kutta method

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Physics-informed neural networks for estimating stress transfer mechanics in single lap joints

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Journal of Zhejiang University-Science A(Applied Physics & Engineering) 2021年第8期22卷 621-631页

作者： Shivam SHArMA rajneesh AWASTHI Yedlabala Sudhir SASTrY Pattabhi ramaiah budarapu School of Mechanical Sciences Indian Institute of TechnologyBhubaneswar 752050India Department of Aeronautical Engineering Institute of Aeronautical EngineeringHyderabad 500043India

With the explosive growth of computational resources and data generation,deep machine learning has been successfully employed in various *** important and emerging scientific application of deep learning involves solving differential ***,physics-informed neural networks(PINNs)are developed to solve the differential equations associated with a specific scientific *** such,algorithms for solving the differential equations by embedding their initial and boundary conditions in the cost function of the artificial neural networks using algorithmic differentiation must also be *** this study,various PINNs are adopted to estimate the stresses in the tablets and the interphase of a single lap *** proposed model is represented by two fourth-order non-homogeneous coupled partial differential equations,with the axial stresses in the upper and lower tablets adopted as the dependent *** axial stresses are a function of the tablet length,which presents the independent ***,the axial stresses in the tablets are estimated by solving the coupled partial differential equations when subjected to the boundary conditions,whereas the remaining stress components are expressed in terms of axial *** results obtained using the developed methodology are validated using the results obtained via MAPLE software.

关键词： Physics-informed neural networks(PINNs) Algorithmic differentiation Artificial neural networks Loss function Single lap joint

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