Article
Computer Science, Interdisciplinary Applications
Jing Li, Fei Tang, Mostafa Habibi
Summary: This article presents the thermal buckling and resonance frequency of a composite cylindrical nanoshell reinforced with graphene nanoplatelets under bi-directional thermal loading. The study assumes that the temperature-dependent material properties of the composite are graded in the thickness direction of the nanoshell and uses a nanomechanical model to approximate the effective material properties of each layer. The analysis is conducted using a modified couple stress parameter and shows that bi-directional thermal buckling occurs when the relative frequency change approaches 30%. The study is novel in considering the effects of bi-directional thermal loading on the properties of the nanoshell and provides useful insights for the design of materials science and micro- and nano-mechanical systems.
ENGINEERING WITH COMPUTERS
(2022)
Article
Automation & Control Systems
Zong Guangdeng, Dong Yang, James Lam, Xiaoqi Song
Summary: This paper investigates the construction of parameter-dependent multiple piecewise Lyapunov function for switched linear parameter-varying (LPV) systems with possible actuator failures, to handle the H-infinity bumpless transfer fault-tolerant control problem. By introducing the generalized bumpless transfer concept, designing an event-triggered switching law, and developing a solvability condition for fault-tolerant control problem, a family of time-driven switching controllers satisfying the bumpless transfer constraint and fault-tolerant requirement is formulated.
IEEE-ASME TRANSACTIONS ON MECHATRONICS
(2022)
Article
Thermodynamics
Ahmad Hajatzadeh Pordanjani, Saeed Aghakhani
Summary: The addition of more nanopowder and increasing the enclosure angle can improve heat transfer efficiency, while increasing the magnetic field angle up to 15 degrees can enhance heat transfer rate, but further increasing it to 90 degrees reduces the heat transfer rate.
HEAT TRANSFER ENGINEERING
(2022)
Article
Computer Science, Interdisciplinary Applications
Navid Kardani, Abidhan Bardhan, Pijush Samui, Majidreza Nazem, Annan Zhou, Danial Jahed Armaghani
Summary: The study proposed novel computational approaches combining metaheuristic optimization algorithms with machine learning techniques to predict the thermal conductivity of unsaturated soils. Among the hybrid models developed, ELM-IFF showed the best predictive performance and can be used for rapid determination of thermal conductivity in the early stages of engineering projects.
ENGINEERING WITH COMPUTERS
(2022)
Review
Engineering, Civil
Guangyong Sun, Dongdong Chen, Guohua Zhu, Qing Li
Summary: This article provides a critical review on the advances in hybrid materials and structures for crashworthiness and energy absorption performance. It discusses the hybridization of different materials to maximize their functional roles in lightweight structures. The evaluation and comparison of various hybridized materials in terms of crashworthiness and energy absorption are also discussed.
THIN-WALLED STRUCTURES
(2022)
Article
Computer Science, Interdisciplinary Applications
Hicham Hirane, Mohamed-Ouejdi Belarbi, Mohammed Sid Ahmed Houari, Abdelouahed Tounsi
Summary: This paper introduces a novel finite element model for the analysis of static and free vibration of functionally graded material (FGM) sandwich plates, with a computationally efficient element developed for the model. The results indicate promising accuracy and convergence rate for thin and thick FGM sandwich plates.
ENGINEERING WITH COMPUTERS
(2022)
Article
Computer Science, Interdisciplinary Applications
Abdelazim G. Hussien, Ali Asghar Heidari, Xiaojia Ye, Guoxi Liang, Huiling Chen, Zhifang Pan
Summary: This study proposes an enhanced variant of the whale optimization algorithm (WOA) called VCSWOA, which combines components from other algorithms. The comprehensive testing and comparison with other algorithms demonstrate that VCSWOA outperforms its peers in terms of performance.
ENGINEERING WITH COMPUTERS
(2023)
Article
Engineering, Mechanical
Run-Fa Zhang, Ming-Chu Li
Summary: In this study, a bilinear residual network method is proposed to solve nonlinear evolution equations. The method reduces the complexity of the model and provides more interactive results. The exact analytical solution for the Caudrey-Dodd-Gibbon-Kotera-Sawada-like equation is obtained using the steps of solving through the residual network. Characteristic plots and dynamic analysis of these rogue waves are given.
NONLINEAR DYNAMICS
(2022)
Article
Engineering, Mechanical
Hanzhang Xu, Tao He, Ning Zhong, Bin Zhao, Zhigang Liu
Summary: A transient thermomechanical sliding model was established to analyze the contact behaviors of elastic-plastic micro asperities, taking into consideration the coupling effect of temperature and strain rate on material properties. The study focused on the commonly used SnSbCu alloy in marine engines for journal bearings. Results showed that considering the effect of temperature and strain rate on material properties at the micro scale can enhance the practicality and accuracy of the contact model. Additionally, the influence of sliding conditions and mechanical properties of material on contact behaviors was studied based on the sliding contact model.
TRIBOLOGY INTERNATIONAL
(2022)
Article
Computer Science, Interdisciplinary Applications
Betul Sultan Yildiz, Nantiwat Pholdee, Sujin Bureerat, Ali Riza Yildiz, Sadiq M. Sait
Summary: The paper introduces a new optimization algorithm - elite opposition-based learning grasshopper optimization method (EOBL-GOA), and through validation with multiple engineering design problems, the results indicate that the method is considered one of the best algorithms reported in the literature.
ENGINEERING WITH COMPUTERS
(2022)
Article
Engineering, Mechanical
Bo Yan, Ning Yu, Hongye Ma, Chuanyu Wu
Summary: This paper presents a general theory for bistable vibration isolators (BVIs) and reveals the bistable vibration isolation mechanism. The advantages of BVIs in vibration isolation are quantitatively verified through theoretical and numerical calculations, providing guidance for the design, analysis, and optimization of BVIs.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2022)
Article
Engineering, Mechanical
Yonghao Miao, Jingjing Wang, Boyao Zhang, Hao Li
Summary: This paper addresses the issue of ambiguous definition of the Gini index in the extraction of machinery fault features and proposes a new evaluation framework for GI, as well as various signal processing methods enhanced by GI. The performance superiority of using GI is verified through numerical simulations and real experimental cases.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2022)
Article
Engineering, Mechanical
Junchuan Shi, Dikang Peng, Zhongxiao Peng, Ziyang Zhang, Kai Goebel, Dazhong Wu
Summary: Traditional model-based fault diagnosis techniques struggle to automatically extract spatial and temporal features, while deep learning methods are capable of automatic feature extraction but struggle to extract spatial and temporal features simultaneously.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2022)
Article
Computer Science, Interdisciplinary Applications
Benyamin Abdollahzadeh, Farhad Soleimanian Gharehchopogh
Summary: Feature selection is a critical step in data mining, with machine learning algorithms playing a crucial role in performance improvement. This paper proposed three different solutions for FS using HHO, FOA, and a hybrid algorithm MOHHOFOA, which were tested on 15 standard data sets. Results showed promising performance of the proposed solutions on the data sets.
ENGINEERING WITH COMPUTERS
(2022)
Article
Engineering, Mechanical
Xiaopeng Niu, Shun-Peng Zhu, Jin-Chao He, Ding Liao, Jose A. F. O. Correia, Filippo Berto, Qingyuan Wang
Summary: Despite the advantages of rapid prototyping, Additive Manufacturing (AM) technique faces limitations in engineering applications due to weak fatigue performance and lacking of design rules. This study explores the size effect and fatigue performance scatter in AM materials using defect data from CT scans and experimental data. Predictive fatigue curves for AM materials are extrapolated based on the relationship among defects, fatigue strength, and fatigue curves. The method is validated through testing different AlSi10Mg specimens and performing defect-tolerant assessments for AM parts.
INTERNATIONAL JOURNAL OF FATIGUE
(2022)
Article
Engineering, Civil
Fanlei Kong, Fenghui Dong, Maojun Duan, Mostafa Habibi, Hamed Safarpour, Abdelouahed Tounsi
Summary: This article focuses on the vibration of a three-layered disk consisting of an ER core and two GPLRC face sheets. The shear strain and stress of the ER layer in pre-and post-yield state are obtained using FSDT and TSDT models. The HDQM method is employed to acquire the results, which are validated through comparison with other published studies. The investigation also explores the influence of GPLs distribution, foundation parameters, disk geometry, and GPLs weight fraction on the system's vibrational behavior.
THIN-WALLED STRUCTURES
(2022)
Article
Acoustics
Shengxi Zhou, Mickael Lallart, Alper Erturk
Summary: Vibration energy harvesting is a new method for supplying sustainable energy to low powered sensor networks and electronic devices. Multiple vibration energy harvesters using different energy conversion mechanisms have been designed and tested. The challenge lies in the response to input excitation characteristics, which can be addressed through multistable characteristics commonly found in mathematical models and physical devices. The focus on multistable vibration energy harvesters is mainly due to their nonlinear dynamic characteristics that improve the efficiency of vibration energy harvesting.
JOURNAL OF SOUND AND VIBRATION
(2022)
Article
Engineering, Mechanical
Fei-Yan Liu, Yi-Tian Gao, Xin Yu, Cui-Cui Ding
Summary: In this paper, a (3+1)-dimensional generalized nonlinear evolution equation for shallow water waves is investigated. Nth-order solutions are proved to exist and soliton solutions are constructed. One-periodic-wave solutions are also derived, and the relationship between these solutions is explored. The equation is further simplified to a two-dimensional dynamic system, and the phase portraits of the system are given based on a qualitative analysis.
NONLINEAR DYNAMICS
(2022)
Article
Thermodynamics
Jia Liu, Yi Xue, Qi Zhang, Huimin Wang, Songhe Wang
Summary: The study demonstrates that the thermo-hydro-mechanical coupling model considering the deformation of fractal fractures is remarkably robust for modeling fracture opening and closing under coupling conditions. The evolution of fracture permeability presents certain heterogeneity related to fractal dimension, in-situ stress, and geothermal wells layout. Fractures with larger fractal dimension can interact more fully with the bedrock and further affect the thermal breakthrough.
APPLIED THERMAL ENGINEERING
(2022)
Article
Engineering, Multidisciplinary
Chengcheng Chen, Qian Zhang, Mahsa H. Kashani, Changhyun Jun, Sayed M. Bateni, Shahab S. Band, Sonam Sandeep Dash, Kwok-Wing Chau
Summary: In this study, a deep-learning-based LSTM model is developed for the first time to forecast monthly rainfall data and compared with the RF model. The results show that the LSTM model outperforms the RF model in rainfall forecasting at both stations, with reasonable accuracy under any global climatic conditions.
ENGINEERING APPLICATIONS OF COMPUTATIONAL FLUID MECHANICS
(2022)
