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Article
Chemistry, Multidisciplinary
Ramin Ghiasi et al.
Summary: In this study, a non-probabilistic structural damage identification technique based on an optimization algorithm and interval mathematics is proposed for uncertainty-oriented damage identification. The method takes into account uncertainty quantification and provides support for structural health diagnosis under uncertain conditions. The technique is implemented using the slime mold algorithm (SMA) for model updating and an enhanced variant of SMA (ESMA) is developed. Results show that the proposed method reduces computation time and improves the certainty of damage detection.
APPLIED SCIENCES-BASEL
(2022)
Article
Chemistry, Analytical
Tianyu Wang et al.
Summary: A deep Bayesian convolutional neural network is proposed in this paper for predicting seismic response. The proposed method shows high accuracy in predicting acceleration and displacement responses. The influence of random parameters and the robustness of the model are also discussed.
Article
Mechanics
Paolo Casini et al.
Summary: The paper analyzes the influence of the hysteretic restoring force on the response of two degrees-of-freedom chain systems. It compares the frequency response curves of full and reduced hysteresis cases. The study finds that the strong hysteretic nonlinearity changes the nonlinear frequencies and can lead to internal resonance conditions. In the case of reduced hysteresis, there exists a frequency range of coexisting solutions.
INTERNATIONAL JOURNAL OF NON-LINEAR MECHANICS
(2022)
Article
Chemistry, Multidisciplinary
Ramin Ghiasi et al.
Summary: This paper proposes a novel approach using a non-probabilistic surrogate model based on WWLS-SVM for uncertainty in vibration-based damage detection. The method calculates changes in Young's modulus based on an interval analysis method, providing interval-bound output predictions considering uncertainties in input parameters. Results show superior performance compared to direct finite element models in uncertainty-based damage detection with less computational effort.
APPLIED SCIENCES-BASEL
(2021)
Article
Chemistry, Inorganic & Nuclear
Alessandro Giuseppe D'Aloia et al.
Summary: A novel computational method for reproducing hysteresis loops of hard magnetic materials is proposed in this study, showing significant improvement in terms of computational performance compared to classical models. The method utilizes a different approach in modeling the hysteron effect, which allows for accurate modeling of a large class of hysteresis loops. Additionally, the method permits modeling of the temperature effect on magnetization of neodymium magnets, which is essential for designing electrical machines.
Article
Materials Science, Multidisciplinary
Tianyu Wang et al.
Summary: This paper proposes a modified Prandtl-Ishlinskii model to simulate asymmetric hysteresis in structural systems, with parameter identification done using particle swarm optimization and least-mean square algorithm. The model is then applied to analyze the dynamic response of a base isolated structural model under seismic load.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART L-JOURNAL OF MATERIALS-DESIGN AND APPLICATIONS
(2021)
Article
Chemistry, Multidisciplinary
Wael A. Altabey et al.
Summary: Magnetorheological elastomeric (MRE) materials are capable of adaptively changing their rheological properties in response to external magnetic fields, achieved through various development schemes such as incorporating functionalized multiwall carbon nanotubes (MWCNTs). Analyzing and modifying mathematical models of MRE materials can lead to potential applications in seismic isolation, with the use of smart materials enhancing the performance compared to traditional isolation devices. The adaptive control algorithm presented in this research demonstrates the ability to transiently suppress and protect structures against non-stationary disturbances in real time, showcasing promising opportunities for optimal and adaptive structural performance.
APPLIED SCIENCES-BASEL
(2021)
Article
Engineering, Civil
Ying Zhao et al.
Summary: Efficient vibration control schemes for seismically excited structures are crucial. This study examined the influence of different control schemes on the dynamic performance of a frame structure, finding that the sliding mode strategy can effectively control the structure when the damage extent does not exceed 20%. Additionally, control effectiveness is improved when the control location aligns with the direction of external excitation.
EARTHQUAKE ENGINEERING AND ENGINEERING VIBRATION
(2021)
Article
Materials Science, Multidisciplinary
Zele Li et al.
Summary: A multi-objective optimization algorithm NSGA-II is employed in this paper to identify the parameters of the Bouc-Wen-Baber-Noori hysteresis model in order to describe the restoring force characteristics of reinforced concrete columns under different failure modes. Sensitivity analysis and parameter distribution patterns are used to propose reference parameter values for different failure modes.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART L-JOURNAL OF MATERIALS-DESIGN AND APPLICATIONS
(2021)
Article
Multidisciplinary Sciences
Zhiliang Yu et al.
Article
Materials Science, Multidisciplinary
Robert G. Harrison et al.
JOURNAL OF MAGNETISM AND MAGNETIC MATERIALS
(2019)
Article
Construction & Building Technology
Ying Zhao et al.
FRONTIERS IN BUILT ENVIRONMENT
(2019)
Article
Construction & Building Technology
Ying Zhao et al.
STRUCTURAL CONTROL & HEALTH MONITORING
(2018)
Article
Engineering, Mechanical
Xudong Chen et al.
INTERNATIONAL JOURNAL OF FATIGUE
(2017)
