Article
Engineering, Industrial
Zihan Wang, Mohamad Daeipour, Hongyi Xu
Summary: This paper proposes a new methodology to quantify and propagate aleatoric uncertainties distributed in complex topological structures. It introduces a random field-based uncertainty representation approach that captures the topological characteristics using the shortest interior path distance. Parameterization methods and non-intrusive uncertainties propagation methods are employed to propagate the uncertainties. Engineering case studies demonstrate the effectiveness of the proposed methodology.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2023)
Article
Engineering, Geological
Quy Thue Nguyen, Ramazan Livaoglu
Summary: The study focuses on two-dimensional high-rise buildings and uses a promising method to identify changes in mechanical matrices. Reliable storey-level detection is achieved through reducing full matrices and developing techniques such as damage detection and mass recognition.
SOIL DYNAMICS AND EARTHQUAKE ENGINEERING
(2022)
Article
Physics, Particles & Fields
Valerio Faraoni
Summary: By analogizing with the Friedmann equation in cosmology, we have solved the inverse Lagrangian problem for the first-order Riccati differential equation, offering new insights into various physical systems described by the Riccati equation.
EUROPEAN PHYSICAL JOURNAL C
(2022)
Article
Mechanics
S. Z. H. Shah, Juhyeong Lee
Summary: This study presents a novel stochastic modeling framework for predicting lightning thermal damage in carbon/epoxy composites. The results show that the use of stochastic electrical conductivity slightly increases the predicted thermal damage, while the presence of voids does not significantly affect the damage development. Additionally, the proposed model is capable of predicting asymmetric lightning damage to carbon/epoxy composites.
COMPOSITE STRUCTURES
(2022)
Article
Neurosciences
Longbin Zhang, Xiaochen Zhang, Xueyu Zhu, Ruoli Wang, Elena M. Gutierrez-Farewik
Summary: This paper presents an adaptive control framework for a knee exoskeleton that predicts the user's knee flexion/extension torque and provides assistive torque using muscle electromyography (EMG) signals and joint kinematics. The framework accurately predicts the torque with quantifiable uncertainty and holds significant potential for the development of exoskeletons that provide assistance as needed.
FRONTIERS IN NEUROSCIENCE
(2023)
Article
Mathematics, Applied
S. Z. Feng, Q. J. Sun, X. Han, Atilla Incecik, Z. X. Li
Summary: This paper proposes two efficient algorithms based on the stable nodal integration method (SNIM) to address the material and spatial uncertainties in the stochastic electric field problem. Random variables/fields are used to describe the uncertainties, and a generalized stochastic perturbation-SNIM (GS-SNIM) method is developed for random-variable scenarios, while a random field-SNIM (RF-SNIM) method is developed for random-field scenarios. Numerical examples are studied to verify the accuracy and efficiency of the proposed methods, and the results demonstrate their capability in solving different uncertainties and reducing computational cost.
COMPUTERS & MATHEMATICS WITH APPLICATIONS
(2023)
Article
Mathematics, Applied
Peijun Li, Xu Wang
Summary: This paper focuses on the inverse random source problem for the one-dimensional stochastic Helmholtz equation with attenuation. The random source is assumed to be a microlocally isotropic Gaussian random field with its covariance operator being a classical pseudo-differential operator. The well-posedness of the direct source problem is established in the distribution sense, and the micro-correlation strength of the random source is uniquely determined by the wave field in an open measurement set.
Article
Engineering, Multidisciplinary
Hao Zhang, Johann Guilleminot, Luis J. Gomez
Summary: In this work, a new stochastic modeling framework is proposed to represent and simulate spatially-dependent geometrical uncertainties on complex geometries, efficiently handling uncertainties in complex domains. By combining stochastic partial differential equation approach and information-theoretic model, the robustness of the framework is demonstrated through challenging examples, such as the gyroid structure and brain interfaces in patient-specific geometries.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2021)
Article
Automation & Control Systems
Luca Lomazzi, Marco Giglio, Francesco Cadini
Summary: Ultrasonic guided waves are widely used for structural damage characterization due to their sensitivity to defects. However, heavy processing is often needed to extract damage indices from the acquired signals. Machine learning algorithms have been employed to improve the accuracy of damage diagnosis, but most methods still require extracting damage indices, which may result in loss of diagnostic information. This work aims to test different supervised machine learning algorithms for damage localization and quantification through regression and discuss the limitations of using damage indices instead of unprocessed signals.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2023)
Article
Engineering, Geological
Michael Conrad Koch, Misato Osugi, Kazunori Fujisawa, Akira Murakami
Summary: In this study, a method named Hamiltonian Monte Carlo for Simultaneous Interface and Spatial Field Detection (HMCSISFD) is developed to handle inverse problems related to explicit interface detection. By updating the parameters in a reversible mesh moving framework, dimensionality reduction of the spatial field parameters enables the detection of interface and spatial field properties in a piping zone experiment. The results show convergence and provide accurate estimation of the true interface and spatial field parameters within high probability density regions.
INTERNATIONAL JOURNAL FOR NUMERICAL AND ANALYTICAL METHODS IN GEOMECHANICS
(2021)
Article
Engineering, Multidisciplinary
Esmaeil Ghorbani, Dagmar Svecova, Douglas J. Thomson, Young-Jin Cha
Summary: The study introduces a new output-based scour level prediction method that integrates various techniques to accurately estimate scour levels around bridge piers. The method was validated on an existing medium-span bridge in the province of Manitoba, Canada.
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL
(2022)
Article
Engineering, Mechanical
Garrett K. Lopp, Ryan Schultz
Summary: This paper presents an indirect approach to estimate a system's full-field dynamic response by utilizing response measurements from sparsely located sensors. The approach relies on Bayesian inference and a system model to estimate the response and quantify the uncertainty. By casting the problem in the frequency domain and utilizing modal frequency response functions as weighting scheme, an accurate expansion can be achieved.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2022)
Article
Computer Science, Interdisciplinary Applications
Song Bai, Zhan Kang
Summary: The paper presents a robust topology optimization method for structures with bounded loads and spatially correlated material uncertainties. The method combines random structural loads with bounded nature and random field discretization to model uncertainties, with a focus on minimizing mean value and standard deviation of structural compliance. Numerical examples show that the proposed method results in structurally robust designs against uncertainties.
COMPUTERS & STRUCTURES
(2021)
Article
Engineering, Mechanical
Marco Esposito, Marco Gherlone
Summary: Shape sensing is crucial for modern Structural Health Monitoring frameworks. This study assesses the impact of uncertainties on the performance of three shape sensing methods, with Modal Method showing the most robustness and iFEM achieving the highest accuracy. Ko's Displacement theory, on the other hand, is the least accurate and robust among the three methods.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2021)
Article
Engineering, Multidisciplinary
Christian Soize
Summary: This paper presents a probabilistic learning inference method for integrating data into predictive models and estimating posterior probability models. By introducing a statistical surrogate model and using the Kullback-Leibler minimum principle, the constraints of bringing statistical moments closer to their targets are achieved.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2022)
Article
Engineering, Multidisciplinary
Tanmoy Chatterjee, Michael I. Friswell, Sondipon Adhikari, Rajib Chowdhury
Summary: This article aims to minimize computational requirements of meta-model assisted RDO by developing a global two-layered approximation technique. The approach eliminates model building and Monte Carlo simulation, demonstrating the potential to yield robust optimal solutions in real-life applications with minimal computational cost.
ENGINEERING OPTIMIZATION
(2022)
Article
Materials Science, Multidisciplinary
S. K. Singh, A. Banerjee, R. K. Varma, S. Adhikari, S. Das
Summary: This paper presents an analytical study on computing natural frequencies and in-plane deflections caused by static forces in panel walls using various theories. The study emphasizes the unique features of the Micropolar-Cosserat theory and its comparison with finite element analysis for simulating panel behavior.
MECHANICS OF ADVANCED MATERIALS AND STRUCTURES
(2022)
Article
Materials Science, Multidisciplinary
Sondipon Adhikari, Arnab Banerjee
Summary: A mechanical approach utilizing inertial amplifiers with cantilever piezoelectric vibration energy harvesters has been proposed to address challenges in harvesting more power from low-frequency and broadband random excitations. Optimal tuning of different parameters of the inertial amplifiers can significantly increase harvested power, allowing for five times more power to be harvested at a 50% lower frequency under harmonic excitation and ten times more power under random broadband excitation.
JOURNAL OF INTELLIGENT MATERIAL SYSTEMS AND STRUCTURES
(2022)
Article
Mechanics
S. Mukherjee, S. Adhikari
Summary: The paper proposes an analytical framework to analyze and quantify the elastic properties of two-dimensional hexagonal lattices with curved elements. It is found that curved beam elements significantly increase the flexibility of the lattice and expand the design space. The analytical approach and expressions provided in the paper offer an efficient framework for the analysis and design of curved lattice materials.
COMPOSITE STRUCTURES
(2022)
Article
Engineering, Mechanical
S. Adhikari, S. Chakraborty
Summary: This paper aims to develop computationally efficient methods for random eigenvalue problems arising in the dynamics of multi-degree-of-freedom systems, by projecting random eigenvectors onto the basis spanned by deterministic eigenvectors and simplifying the overall approach using an iterative technique.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2022)
Article
Materials Science, Multidisciplinary
V Gupta, B. Bhattacharya, S. Adhikari
Summary: This study presents a lattice-based hourglass metastructure with excellent mechanical properties and energy absorption capacity. The uniaxial compressive response and energy absorption capacity of this structure were investigated through theoretical, simulation, and experimental methods. The results show that the auxetic-based hourglass structure has the highest energy absorption efficiency.
EXPERIMENTAL MECHANICS
(2022)
Article
Physics, Condensed Matter
E. J. P. Miranda Jr, J. M. C. Dos Santos
Summary: The study reports on the wave attenuation of elastic Bloch waves in 1-3 piezoelectric phononic structures with BaTiO3 inclusions in a polymeric matrix, showing the observation of complete Bragg-type band gaps that improve band gap width and wave attenuation. This design can be used for surface acoustic wave filters and piezocomposite transducer design.
PHYSICA B-CONDENSED MATTER
(2022)
Article
Engineering, Mechanical
S. Adhikari, S. Mukherjee
Summary: This paper proposes an analytical method based on Castigliano's approach to obtain the exact closed-form expression of the stiffness matrix for beams with stochastic distributed parameters. It is shown that the conventional stochastic element stiffness matrix is a first-order perturbation approximation to the exact expression.
PROBABILISTIC ENGINEERING MECHANICS
(2022)
Article
Engineering, Civil
Sudip Chowdhury, Arnab Banerjee, Sondipon Adhikari
Summary: This paper studies the optimal design of inertial amplifier base isolators (IABI) for mitigating the dynamic response of multi-storey buildings under base excitations. The H-2 optimization method is used to obtain closed-form expressions for the optimal design parameters of IABI. The effectiveness of these expressions is evaluated by comparing the frequency and time domain responses of isolated structures to those of uncontrolled structures. The results show that the response reduction capacity of the optimal inertial amplifier base isolator is increased by 50% to 60% compared to traditional base isolators.
INTERNATIONAL JOURNAL OF STRUCTURAL STABILITY AND DYNAMICS
(2023)
Article
Instruments & Instrumentation
A. Singh, T. Mukhopadhyay, S. Adhikari, B. Bhattacharya
Summary: This paper proposes a novel hybrid lattice structure that allows contactless active modulation of Young's modulus and Poisson's ratio. By incorporating magnetostrictive patches, the mechanical properties of the lattice structure can be controlled remotely using a magnetic field. The study reveals that extreme on-demand modulation of Young's modulus and Poisson's ratio is achievable by controlling the magnetic field.
SMART MATERIALS AND STRUCTURES
(2022)
Article
Materials Science, Multidisciplinary
Juliana C. Santos, Marcus V. G. de Morais, Marcela R. Machado, Ramon Silva, Erwin U. L. Palechor, Welington Silva
Summary: Early damage detection is crucial for structure maintenance. This study investigates techniques that use damaged structure responses and proposes a new index called WDR to measure damage levels in Timoshenko beams. Numerical results show the efficiency of the proposed techniques.
FRATTURA ED INTEGRITA STRUTTURALE-FRACTURE AND STRUCTURAL INTEGRITY
(2022)
Article
Engineering, Mechanical
Sudip Chowdhury, Arnab Banerjee, Sondipon Adhikari
Summary: This paper introduces a method of combining negative stiffness devices with inerters to traditional base isolators and tuned mass dampers. The optimal design parameters of these novel passive vibration dampers are derived using H2 and H & INFIN; optimization methods. The results show that the optimized negative stiffness inerter-based base isolators and tuned mass dampers outperform traditional base isolators and tuned mass dampers in terms of dynamic response reduction capacity.
INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES
(2023)
Article
Acoustics
Sudip Chowdhury, Arnab Banerjee, Sondipon Adhikari
Summary: This paper introduces the inertial amplifier viscoelastic tuned mass dampers (IAVTMD) and presents the mathematical formulations for optimal design parameters. The dynamic response reduction capacity of IAVTMD is significantly superior to conventional tuned mass dampers, with an improvement ranging from 20.87% to 26.47% for H-2 optimization and 15.48% for H-8 optimization. In addition, the optimized IAVTMD outperforms tuned mass damper inerters (TMDI) with improved dynamic response reduction capacity by 6.94% for H-2 optimization and 23.29% for H-8 optimization. The closed-form expressions for optimal design parameters are effective for practical applications.
JOURNAL OF VIBRATION AND CONTROL
(2023)
Article
Mechanics
Sudip Chowdhury, Arnab Banerjee, Sondipon Adhikari
Summary: This article introduces the concepts of additional inerter-based viscoelastic mass dampers (AIVMD) and additional viscoelastic mass damper inerters (AVMDI). H-2 and H-infinity optimization schemes are used to derive the optimal closed-form solutions for these dampers analytically. A parametric study is conducted to investigate the sensitivity of the optimal design parameters with other system parameters. The results suggest that higher damper mass ratio, inerter mass ratio, and stiffness ratio are recommended for designing optimal novel dampers with robust vibration reduction capacities.
MECHANICS BASED DESIGN OF STRUCTURES AND MACHINES
(2023)
Article
Engineering, Civil
Sudip Chowdhury, Arnab Banerjee, Sondipon Adhikari
Summary: This paper introduces the design of negative stiffness inerter-based base isolators, which enhance the dynamic response reduction capacity of conventional base isolators by installing negative stiffness devices and inerters. These novel isolators have been installed at the base of multi-storey buildings to mitigate their dynamic responses during vibration.
Article
Engineering, Mechanical
Xuanen Kan, Yanjun Lu, Fan Zhang, Weipeng Hu
Summary: A blade disk system is crucial for the energy conversion efficiency of turbomachinery, but differences between blades can result in localized vibration. This study develops an approximate symplectic method to simulate vibration localization in a mistuned bladed disk system and reveals the influences of initial positive pressure, contact angle, and surface roughness on the strength of vibration localization.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Zimeng Liu, Cheng Chang, Haodong Hu, Hui Ma, Kaigang Yuan, Xin Li, Xiaojian Zhao, Zhike Peng
Summary: Considering the calculation efficiency and accuracy of meshing characteristics of gear pair with tooth root crack fault, a parametric model of cracked spur gear is established by simplifying the crack propagation path. The LTCA method is used to calculate the time-varying meshing stiffness and transmission error, and the results are verified by finite element method. The study also proposes a crack area share index to measure the degree of crack fault and determines the application range of simplified crack propagation path.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Rongjian Sun, Conggan Ma, Nic Zhang, Chuyo Kaku, Yu Zhang, Qirui Hou
Summary: This paper proposes a novel forward calculation method (FCM) for calculating anisotropic material parameters (AMPs) of the motor stator assembly, considering structural discontinuities and composite material properties. The method is based on multi-scale theory and decouples the multi-scale equations to describe the equivalence and equivalence preconditions of AMPs of two scale models. The effectiveness of this method is verified by modal experiments.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Hao Zhang, Jiangcen Ke
Summary: This research introduces an intelligent scheduling system framework to optimize the ship lock schedule of the Three Gorges Hub. By analyzing navigational rules, operational characteristics, and existing problems, a mixed-integer nonlinear programming model is formulated with multiple objectives and constraints, and a hybrid intelligent algorithm is constructed for optimization.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Jingjing He, Xizhong Wu, Xuefei Guan
Summary: A sensitivity and reliability enhanced ultrasonic method has been developed in this study to monitor and predict stress loss in pre-stressed multi-layer structures. The method leverages the potential breathing effect of porous cushion materials in the structures to increase the sensitivity of the signal feature to stress loss. Experimental investigations show that the proposed method offers improved accuracy, reliability, and sensitivity to stress change.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Benyamin Hosseiny, Jalal Amini, Hossein Aghababaei
Summary: This paper presents a method for monitoring sub-second or sub-minute displacements using GBSAR signals, which employs spectral estimation to achieve multi-dimensional target detection. It improves the processing of MIMO radar data and enables high-resolution fast displacement monitoring from GBSAR signals.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Xianze Li, Hao Su, Ling Xiang, Qingtao Yao, Aijun Hu
Summary: This paper proposes a novel method for bearing fault identification, which can accurately identify faults with few samples under complex working conditions. The method is based on a Transformer meta-learning model, and the final result is determined by the weighted voting of multiple models.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Xiaomeng Li, Yi Wang, Guangyao Zhang, Baoping Tang, Yi Qin
Summary: Inspired by chaos fractal theory and slowly varying damage dynamics theory, this paper proposes a new health monitoring indicator for vibration signals of rotating machinery, which can effectively monitor the mechanical condition under both cyclo-stationary and variable operating conditions.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Hao Wang, Songye Zhu
Summary: This paper extends the latching mechanism to vibration control to improve energy dissipation efficiency. An innovative semi-active latched mass damper (LMD) is proposed, and different latching control strategies are tested and evaluated. The latching control can optimize the phase lag between control force and structural response, and provide an innovative solution to improve damper effectiveness and develop adaptive semi-active dampers.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Menghao Ping, Xinyu Jia, Costas Papadimitriou, Xu Han, Chao Jiang, Wang-Ji Yan
Summary: Identification of non-Gaussian processes is a challenging task in engineering problems. This article presents an improved orthogonal series expansion method to convert the identification of non-Gaussian processes into a finite number of non-Gaussian coefficients. The uncertainty of these coefficients is quantified using polynomial chaos expansion. The proposed method is applicable to both stationary and nonstationary non-Gaussian processes and has been validated through simulated data and real-world applications.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Lei Li, Wei Yang, Dongfa Li, Jianxin Han, Wenming Zhang
Summary: The frequency locking phenomenon induced by modal coupling can effectively overcome the dependence of peak frequency on driving strength in nonlinear resonant systems and improve the stability of peak frequency. This study proposes the double frequencies locking phenomenon in a three degrees of freedom (3-DOF) magnetic coupled resonant system driven by piezoelectricity. Experimental and theoretical investigations confirm the occurrence of first frequency locking and the subsequent switching to second frequency locking with the increase of driving force. Furthermore, a mass sensing scheme for double analytes is proposed based on the double frequencies locking phenomenon.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Kai Ma, Jingtao Du, Yang Liu, Ximing Chen
Summary: This study explores the feasibility of using nonlinear energy sinks (NES) as replacements for traditional linear tuned mass dampers (TMD) in practical engineering applications, specifically in diesel engine crankshafts. The results show that NES provides better vibration attenuation for the crankshaft compared to TMD under different operating conditions.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Wentao Xu, Li Cheng, Shuaihao Lei, Lei Yu, Weixuan Jiao
Summary: In this study, a high-precision hydraulic mechanical stand and a vertical mixed-flow pumping station device were used to conduct research on cavitation signals of mixed-flow pumps. By analyzing the water pressure pulsation signal, it was found that the power spectrum density method is more sensitive and capable of extracting characteristics compared to traditional time-frequency domain analysis. This has significant implications for the identification and prevention of cavitation in mixed-flow pump machinery.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Xiaodong Chen, Kang Tai, Huifeng Tan, Zhimin Xie
Summary: This paper addresses the issue of parasitic motion in microgripper jaws and its impact on clamping accuracy, and proposes a symmetrically stressed parallelogram mechanism as a solution. Through mechanical modeling and experimental validation, the effectiveness of this method is demonstrated.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)
Article
Engineering, Mechanical
Zhifeng Shi, Gang Zhang, Jing Liu, Xinbin Li, Yajun Xu, Changfeng Yan
Summary: This study provides useful guidance for early bearing fault detection and diagnosis by investigating the effects of crack inclination and propagation direction on the vibration characteristics of bearings.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2024)