Pattabhi Ramaiah Budarapu

Scopus Publications

Nonlinear Dynamics of Nitinol-Enhanced Carbon-Fiber-Reinforced Polymer Beam-Rod in Subsonic Flow
Kartik S. Tandel, B. Rammohan, Kamalbabu Periasamy, P. R. Budarapu
Journal of Aircraft, 2026
This study investigates the nonlinear aeroelastic behavior of carbon-fiber-reinforced polymer (CFRP) laminates embedded with prestressed pseudoelastic nitinol shape memory alloy (SMA) wires under subsonic flow. High-aspect-ratio beam specimens with 4-layer and 10-layer layups were tested in a subsonic wind tunnel across velocities from 10 to 31 m/s. Experimental analyses, including frequency response functions (FRFs), phase portraits, and tip displacement, were supported by numerical flutter simulations via the P-K method in MSC NASTRAN ® . CFRP-SMA specimens exhibited superior dynamic performance compared to plain CFRP and aluminum-reinforced counterparts, showing frequency shifts up to 10 Hz and amplitude reductions of 20–40%. The 10-layer SMA specimen achieved peak resonance at 323 Hz, while flutter frequency in the 4-layer specimen dropped from 14.04 to 11.6 Hz. Heating the specimens to 45°C further enhanced damping, reducing amplitudes by an additional 25%. For predictive modeling, LSTM and GRU neural networks were trained on experimental data, achieving real-time displacement predictions with [Formula: see text], outperforming physics-informed-neural-network-based models. These findings highlight the effectiveness of SMA integration for passive flutter control and validate the use of deep learning in digital twin development for adaptive aerospace structures.
Stress transfer in three-phase composites: Modeling of radially graded interphases with proof of concept from 3D printed composite testing
Hasan Alhashmi, M. A. Khan, P. R. Budarapu, S. Kumar
Mechanics of Advanced Materials and Structures, 2026
This study explores the potential of engineered interphases to enhance the performance of fiber-reinforced composites through an integrated approach combining theory, computation, and experiments. A theoretical axisymmetric modeling framework is introduced to evaluate stress distribution within a three-phase composite system subjected to axial pull-out loads. The composite comprises a cylindrical fiber embedded in a matrix with intermediate interphase whose modulus varies radially, following linear and power-law gradation profiles. A variational principle is employed to derive formulation for stress estimation across the composite components. To validate these theoretical insights, an axisymmetric finite element model incorporating a radially graded interphase is developed using a user-defined subroutine (UMAT) in ABAQUS. Comparative analysis demonstrates good agreement between theoretical predictions and finite element results. Notably, graded interphases reduce peak radial and shear stresses at the interphase by approximately 37% and 60%, respectively, compared to ungraded interphases. These predictions are corroborated by single-fiber pull-out experiments using specimens with stepwise modulus-graded interphases fabricated via an Object Connex260 PolyJet 3D multi-material printer. Experimental results confirm that graded interphases significantly enhance the composite’s load-bearing capacity and toughness by mitigating peak interfacial stresses. This study underscores the transformative potential of strategically engineered interphases in optimizing composite system performance, offering insights into advanced material design for high-performance applications.
Schwarzite-inspired hybrid cellular structures for energy absorption applications
V. Udaysankar, Sudhir Sastry Y.B., N. Vu-Bac, S.R. Mahmoud, T. Rabczuk, P.R. Budarapu
European Journal of Mechanics A Solids, 2026
Inspired by Schwarzites, a novel hybrid cellular structure is proposed for energy absorption applications. The Schwarzite-inspired unit cell is reinforced by introducing a stiffener in its open region, which is further enhanced by incorporating an extruded geometry (referred to as an “extruder”) within the stiffener to maximize energy absorption. Structural optimization is carried out using quasi-static crush analysis, leading to the selection of the optimized unit cell 2 (UC2) for all subsequent studies. The impact resistance of the proposed unit cell is evaluated through bullet impact simulations, targeting pre-selected weak points on a sandwich structure composed of a UC2 core and Aluminum faceplates. This configuration demonstrates resistance to bullet velocities of up to 115 m/s at arbitrary impact locations. Subsequently, the Aluminum faceplates are replaced with carbon fiber reinforced polymer (CFRP) faceplates featuring various ply orientations. The use of CFRP results in a maximum reduction in bullet penetration depth of 17.81%. Among the different configurations, the [0/90/0/90] cross-ply orientation exhibits the least penetration depth and is therefore recommended. Finally, air blast simulations are conducted on sandwich structures incorporating cores made from UC2, bamboo spiderweb (BS), hierarchical honeycomb (HH), and stiffened honeycomb (SH) designs. Among these, the UC2 core exhibits the highest bending stiffness and the lowest back-face deflection, indicating uniform structural stiffness. Consequently, this design eliminates the need for multi-stage layering or strategic core offsetting.
Special issue on: Data-driven computing for engineering analysis and design
Pattabhi Ramaiah Budarapu, Xiaoying Zhuang, Timon Rabczuk
Engineering Analysis with Boundary Elements, 2025
Performance and Life Analysis of Lithium-Ion Batteries Aided by Data-Driven Analysis
Ashish Anil Deshpande, S. D. V. S. S. Varma Siruvuri, Y. B. Sudhir Sastry, Bhanumurthy Rammohan, Samy Refahy Mahmoud, Pattabhi Ramaiah Budarapu
International Journal of Mechanical System Dynamics, 2025
The performance and lifespan of Li‐ion batteries used in electric vehicles are influenced by operating and environmental conditions. An understanding of the mechanisms leading to performance degradation and capacity fading can aid in the design of better battery systems. In the present study, numerical models are developed to estimate the capacity fading, battery performance, and residual life. Furthermore, key associated parameters are identified as state of charge, charging protocols, and temperature. Later on, a deep machine learning (DML) model consisting of one input, four hidden, and one output layer is developed to estimate the residual life of a battery system. The five input parameters considered include voltage, current, temperature, number of cycles, and time, apart from residual life as the output parameter. The proposed DML model consists of five dense layers and three dropout layers with 2889 trainable parameters in total, with higher neuron counts in initial layers to process diverse inputs and fewer neurons in later layers to ensure compact feature representation as well as to make better and faster predictions. Results from the numerical and DML models are compared to the reported experimental results, where good agreement is observed. Thus, the developed model is tested on Lithium based Nickel Manganese Cobalt Oxide and Nickel Cobalt Aluminum Oxide batteries, for which parametric studies are performed to investigate the influence of the operating temperature, rate of charge/discharge, and pulse charging on the battery life. Therefore, the technologies proposed in this study can contribute to the development of intelligent battery management systems, enabling enhanced performance, and hence prolonged life of battery systems.
A Kriging-Based Uncertainty Quantification for Fracture Assessment
Tran C. H. Nguyen, N. Vu-Bac, P. R. Budarapu
International Journal of Computational Methods, 2025
We present here an uncertainty quantification methodology assisting fracture/damage detection that accounts for different sources of uncertainty involving in real-time damage identification. The relationship between structural responses (i.e., the natural frequencies) and the uncertain crack locations and lengths in mechanical systems is quantitatively assessed using variance-based sensitivity analysis. Sparse variational Gaussian process is employed to replace the computationally expensive finite element model. Dynamic behaviors of two mechanical systems which are (1) aluminum frame with adjustable masses and (2) cracked car suspension arm are analyzed through experimental and numerical data. The results demonstrate the effectiveness and robustness of combining these methods for structural assessments, providing precise and reliable insights applicable to complex mechanical models. We believe that this study enhances the understanding of vibration-induced fracture/damage and highlights the potential of this framework for advancing structural reliability analysis and dynamic system optimization.
Experimental investigation of hygrothermal ageing on fracture and crushing behaviour of fibre reinforced composite structures
Sandiri Devaraj, Y.B. Sudhir Sastry, P.R. Budarapu
International Journal of Hydromechatronics, 2025
An experimental investigation of hygrothermal ageing on the fracture toughness of glass fibre reinforced composite structures has been investigated. Double cantilever beam (DCB) and pipe specimens were immersed in an insulated tank filled with saline water, and thermally aged with the help of an electric heater and a micro-controller, at temperatures of 100°C, 80°C, 60°C and 40°C for six hours. In order to study the delamination, crack growth experiments were conducted on the composite DCB specimens to capture the load-displacement curves. The experiments were extended to estimate the compressive strength of the composite pipes of diameters 50 mm, 75 mm and 100 mm, respectively. As compared to the virgin specimen, the fracture toughness of laminated composite specimens with initial notch is observed to drop by 83.88%, as well as the compressive strength of pipe size 50 mm is observed to reduce by 21.5% when the temperature is raised to 100°C.
Honeycomb-spiderweb-inspired self-similar hybrid cellular structures for impact applications
K. Tewari, M.K. Pandit, M.M. Mahapatra, P.R. Budarapu
Defence Technology, 2025
Inspired by nature’s self-similar designs, novel honeycomb-spiderweb based self-similar hybrid cellular structures are proposed here for efficient energy absorption in impact applications. The energy absorption is enhanced by optimizing the geometry and topology for a given mass. The proposed hybrid cellular structure is arrived after a thorough analysis of topologically enhanced self-similar structures. The optimized cell designs are rigorously tested considering dynamic loads involving crush and high-velocity bullet impact. Furthermore, the influence of thickness, radial connectivity, and order of patterning at the unit cell level are also investigated. The maximum crushing efficiency attained is found to be more than 95%, which is significantly higher than most existing traditional designs. Later on, the first and second-order hierarchical self-similar unit cell designs developed during crush analysis are used to prepare the cores for sandwich structures. Impact tests are performed on the developed sandwich structures using the standard 9-mm parabellum. The influence of multistaging on impact resistance is also investigated by maintaining a constant total thickness and mass of the sandwich structure. Moreover, in order to avoid layer-wise weak zones and hence, attain a uniform out-of-plane impact strength, off-setting the designs in each stage is proposed. The sandwich structures with first and second-order self-similar hybrid cores are observed to withstand impact velocities as high as 170 m/s and 270 m/s, respectively.
Aeroelastic Stability Enhancement of Composite Laminates Using Embedded Pre-Strained NiTi Shape Memory Alloys
K. Tandel, R. Bhanumurthy, D. Raj, P. R. Budarapu
Experimental Techniques, 2025
Deep machine learning approaches for battery health monitoring
S. Singh, P.R. Budarapu
Energy, 2024
An artificial neural network based deep collocation method for the solution of transient linear and nonlinear partial differential equations
Abhishek Mishra, Cosmin Anitescu, Pattabhi Ramaiah Budarapu, Sundararajan Natarajan, Pandu Ranga Vundavilli, Timon Rabczuk
Frontiers of Structural and Civil Engineering, 2024
Design and analysis of Lithium-ion pouch cell with LMO-NMC blended cathode using coupled thermo-electro-chemical model
K. Parthiv Chandra, P.R. Budarapu
Journal of Energy Storage, 2024
Diffusion-based degradation in silicon photovoltaic solar cells
Ankur Singh, P.R. Budarapu
International Journal of Hydromechatronics, 2024
A machine learning-based image classification of silicon solar cells
H. Verma, S.D.V.S.S. Varma Siruvuri, P.R. Budarapu
International Journal of Hydromechatronics, 2024
Design of lithium-ion battery packs for two-wheeled electric vehicles
Dhruval Javia, Kartik Tewari, Pattabhi Ramaiah Budarapu, Sundararajan Natarajan
Energy Storage, 2023
Impact Analysis of Thin-Walled Cylindrical Tubes
V. R. Vusa, P. R. Budarapu
International Journal of Computational Methods, 2023
Influence of cracks on fracture strength and electric power losses in Silicon solar cells at high temperatures: deep machine learning and molecular dynamics approach
S. D. V. S. S. Varma Siruvuri, P. R. Budarapu, M. Paggi
Applied Physics A Materials Science and Processing, 2023
A coupled quantum-molecular mechanics approach for performance analysis of defective Silicon based photovoltaic solar cells
Siruvuri SDVSS Varma, K R Mangipudi, P R Budarapu
Physica Scripta, 2023
Numerical analysis of lap shear joints made of functionally graded materials
D. Kumar, P. R. Budarapu, A. K. Pradhan
Journal of the Brazilian Society of Mechanical Sciences and Engineering, 2023
Nature-inspired bamboo-spiderweb hybrid cellular structures for impact applications
A. Sethi, P.R. Budarapu, V.R. Vusa
Composite Structures, 2023
Crash-worthiness studies on multistage stiffened honeycomb core sandwich structures under dynamic impact loads
V. R. Vusa, P. R. Budarapu, T. Rabczuk
International Journal of Crashworthiness, 2023
Fracture strength of Graphene at high temperatures: data driven investigations supported by MD and analytical approaches
S. D. V. S. S. Varma Siruvuri, H. Verma, B. Javvaji, P. R. Budarapu
International Journal of Mechanics and Materials in Design, 2022
Analysis of sandwich structures with corrugated and spiderweb-inspired cores for aerospace applications
K. Tewari, M.K. Pandit, P.R. Budarapu, S. Natarajan
Thin Walled Structures, 2022
Preface
Pattabhi Ramaiah Budarapu, Cosmin Anitescu, Timon Rabczuk
International Journal of Computational Methods, 2022
A Machine Learning-Based Approach for the Design of Lower Limb Exoskeleton
V. S. Varma, R. Yogeshwar Rao, P. R. Vundavilli, M. K. Pandit, P. R. Budarapu
International Journal of Computational Methods, 2022
Engineered Interphase Mechanics in Single Lap Joints: Analytical and PINN Formulations
P. R. Budarapu, S. Kumar, M. A. Khan, B. Rammohan, C. Anitescu
International Journal of Computational Methods, 2022
Current-voltage characteristics of silicon based solar cells in the presence of cracks: MD simulations
S D V S S Varma Siruvuri, P R Budarapu, M Paggi
Semiconductor Science and Technology, 2022
Impact analysis of hierarchical honeycomb core sandwich structures
D.K. Korupolu, P.R. Budarapu, V.R. Vusa, M.K. Pandit, J.N. Reddy
Composite Structures, 2022
A cell-based smoothed finite element method for finite elasticity
Amrita Francis, Sundararajan Natarajan, Changkye Lee, Pattabhi R. Budarapu
International Journal for Computational Methods in Engineering Science and Mechanics, 2022
Simulation of bridging mechanisms in complex laminates using a hybrid PF-CZM method
A. R. Dusane, P. R. Budarapu, A. K. Pradhan, S. Natarajan, J. Reinoso, M. Paggi
Mechanics of Advanced Materials and Structures, 2022
Fracture strength and fracture toughness of graphene: MD simulations
V. K. Sutrakar, B. Javvaji, P. R. Budarapu
Applied Physics A Materials Science and Processing, 2021
Physics-informed neural networks for estimating stress transfer mechanics in single lap joints
Shivam Sharma, Rajneesh Awasthi, Yedlabala Sudhir Sastry, Pattabhi Ramaiah Budarapu
Journal of Zhejiang University Science A, 2021
Mechanics of Multifunctional Composites and Their Applications: A Review of Challenges and Emerging Trends
V. Sowjanya, B. Rammohan, P. R. Budarapu
Lecture Notes in Mechanical Engineering, 2021
Micromechanics of engineered interphases in nacre-like composite structures
P. R. Budarapu, S. Thakur, S. Kumar, M. Paggi
Mechanics of Advanced Materials and Structures, 2021
A non-intrusive stochastic isogeometric analysis of functionally graded plates with material uncertainty
Shaima M. Dsouza, Tittu Mathew Varghese, P. R. Budarapu, S. Natarajan
Axioms, 2020
Studies on thermal management of Lithium-ion battery pack using water as the cooling fluid
S.D.V.S.S. Varma Siruvuri, P.R. Budarapu
Journal of Energy Storage, 2020
Impact analysis of compressor rotor blades of an aircraft engine
Y B Sudhir Sastry, B G Kiros, F Hailu, P R Budarapu
Frontiers of Structural and Civil Engineering, 2019
Stress transfer through the interphase in curved-fiber pullout tests of nanocomposites
P.R. Budarapu, S. Kumar, B. Gangadhara Prusty, M. Paggi
Composites Part B Engineering, 2019
Multiscale modeling of material failure: Theory and computational methods
Pattabhi Ramaiah Budarapu, Xiaoying Zhuang, Timon Rabczuk, Stephane P.A. Bordas
Advances in Applied Mechanics, 2019
Crack patterns in heterogenous rocks using a combined phase field-cohesive interface modeling approach: A numerical study
José Reinoso, Percy Durand, Pattabhi Ramaiah Budarapu, Marco Paggi
Energies, 2019
Dynamic instability analysis of multifunctional composite structures
Yashwantha Kumar, B. Rammohan, P. R. Budarapu, D. K. Harursampath, K. N. Seetharamu
AIAA Journal, 2019
Advances in carbon based nanomaterials for bio-medical applications
Tejendra Kumar Gupta, Pattabhi Ramaiah Budarapu, Sivakumar Reddy Chappidi, Sudhir Sastry Y.B., Marco Paggi, Stephane P. Bordas
Current Medicinal Chemistry, 2019
Assessment of computational fracture models using Bayesian method
K.M. Hamdia, M.A. Msekh, M. Silani, T.Q. Thai, P.R. Budarapu, T. Rabczuk
Engineering Fracture Mechanics, 2019
Fracture Properties of Graphene-Coated Silicon for Photovoltaics
Brahmanandam Javvaji, Pattabhi Ramaiah Budarapu, Marco Paggi, Xiaoying Zhuang, Timon Rabczuk
Advanced Theory and Simulations, 2018
A three dimensional adaptive multiscale method for crack growth in Silicon
P.R. Budarapu, B. Javvaji, J. Reinoso, M. Paggi, T. Rabczuk
Theoretical and Applied Fracture Mechanics, 2018
A nonlocal adaptive discrete empirical interpolation method combined with modified hp-refinement for order reduction of molecular dynamics systems
S.O. Ojo, P.R. Budarapu, M. Paggi
Computational Materials Science, 2017
Multiscale Methods for Fracture: A Review
P. R. Budarapu, T. Rabczuk
Journal of the Indian Institute of Science, 2017
Concurrently coupled solid shell-based adaptive multiscale method for fracture
P.R. Budarapu, J. Reinoso, M. Paggi
Computer Methods in Applied Mechanics and Engineering, 2017
A phase field method based three dimensional global-local modelling framework for fracture in rocks
Icf 2017 14th International Conference on Fracture, 2017
Lattice orientation and crack size effect on the mechanical properties of Graphene
P. R. Budarapu, B. Javvaji, V. K. Sutrakar, D. Roy Mahapatra, M. Paggi, G. Zi, T. Rabczuk
International Journal of Fracture, 2017
Design concepts of an aircraft wing: composite and morphing airfoil with auxetic structures
P. R. Budarapu, Sudhir Sastry Y B, R. Natarajan
Frontiers of Structural and Civil Engineering, 2016
Mechanical properties of Graphene: Molecular dynamics simulations correlated to continuum based scaling laws
B. Javvaji, P.R. Budarapu, V.K. Sutrakar, D. Roy Mahapatra, M. Paggi, G. Zi, T. Rabczuk
Computational Materials Science, 2016
Crack propagation in graphene
P. R. Budarapu, B. Javvaji, V. K. Sutrakar, D. Roy Mahapatra, G. Zi, T. Rabczuk
Journal of Applied Physics, 2015
Parametric studies on buckling of thin walled channel beams
Y.B. SudhirSastry, Y. Krishna, Pattabhi R. Budarapu
Computational Materials Science, 2015
Directionality of sound radiation from rectangular panels
Pattabhi R. Budarapu, T.S.S. Narayana, B. Rammohan, Timon Rabczuk
Applied Acoustics, 2015
Buckling analysis of thin wall stiffened composite panels
Y.B. SudhirSastry, Pattabhi R. Budarapu, N. Madhavi, Y. Krishna
Computational Materials Science, 2015
A meshless adaptive multiscale method for fracture
Shih-Wei Yang, Pattabhi R. Budarapu, D. Roy Mahapatra, Stéphane P.A. Bordas, Goangseup Zi, Timon Rabczuk
Computational Materials Science, 2015
Efficient coarse graining in multiscale modeling of fracture
Pattabhi R. Budarapu, Robert Gracie, Shih-Wei Yang, Xiaoying Zhuang, Timon Rabczuk
Theoretical and Applied Fracture Mechanics, 2014
An adaptive multiscale method for quasi-static crack growth
Pattabhi R. Budarapu, Robert Gracie, Stéphane P.A. Bordas, Timon Rabczuk
Computational Mechanics, 2014
Vibration analysis of multi-walled carbon nanotubes embedded in elastic medium
Pattabhi R. Budarapu, Sudhir Sastry Yb, Brahmanandam Javvaji, D. Roy Mahapatra
Frontiers of Structural and Civil Engineering, 2014
Studies on ballistic impact of the composite panels
Y.B. Sudhir Sastry, Pattabhi R. Budarapu, Y. Krishna, S. Devaraj
Theoretical and Applied Fracture Mechanics, 2014

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