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Extraction of hyper-elastic material parameters using BLSTM neural network from instrumented indentation
Instrumented indentation is a versatile method of extracting hyper-elastic material parameters, particularly useful for applications where...
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Bayesian model selection for structural damage identification: comparative analysis of marginal likelihood estimators
This work presents analyses regarding model calibration and selection applied to damage identification in structural dynamics. Model calibration and...
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Determination of Elastoplastic Properties of 2024 Aluminum Alloy Using Deep Learning and Instrumented Nanoindentation Experiment
The instrumented nanoindentation technique has been widely used to measure the tensile properties of various materials, for its simple specimen...
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A dispersion-based impact identification method: mechanical model and experimental verification
External transient impact loads widely exist in the service environment of various engineering structures, and urgent engineering and military...
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Physical-Parameter-Free Learning of Inverse Dynamics for Multi-DOF Industrial Robots via Sparsity and Feature Learning
Since learning models from data allows direct and accurate model approximation, it has lately become a tool of increasing interest in robotics....
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System Identification and Stability Analysis
In this chapter we present two advanced physics-based system identification approaches via projection-based and deep-learning-based reduced-order...
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Intelligent identification of mortar void in ballastless slab track using the wheelset acceleration combined with CNN-SVM
Mortar void is a hidden defect in ballastless slab track difficult to be efficiently identified by traditional detection methods. This paper is...
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On the Visco-Hyperelasticity Relationship in Modeling Styrene Butadiene Rubber Under Uniaxial Cyclic Loadings: Experiments and Parameter Identification
The mechanical response of Styrene Butadiene Rubber (SBRs) reinforced by carbon black particles is investigated under cyclic tension. An experimental...
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Hyperelastic constitutive model parameters identification using optical-based techniques and hybrid optimisation
In this paper we propose a new optical-based technique to identify the constitutive relation coefficients of the hyperelastic material using a hybrid...
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Identification-based Adaptive Tracking Control of Uncertain Bistable Electromechanical Duffing Oscillator
This paper presents a backstep**-based adaptive control design for bistable Duffing-Holmes oscillators. The system parameters are assumed to be...
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Simultaneous Identification of Vertical and Horizontal Complex Stiffness of Preloaded Rubber Mounts: Transformation of Frequency Response Functions and Decoupling of Degrees of Freedom
BackgroundRubber mounts are widely used to isolate vibrating components. Their complex stiffness characteristics, including dynamic stiffness and...
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Dynamic Load Identification for Mechanical Systems: A Review
Due to the great challenges of measuring forces directly, identifying dynamic loads based on accessible responses is a crucial problem in...
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Constitutive modeling of brittle–ductile transition in porous rocks: formulation, identification and simulation
This paper presents a two-surface elastoplastic model for brittle–ductile transition behaviors of porous rocks subjected to compressive stresses. Two...
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Stochastic dynamics of aircraft ground taxiing via improved physics-informed neural networks
In this paper, the stochastic propagation of the aircraft taxiing under the excitation of uneven runway is investigated based on physics-informed...
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Research on Optimal Sensor Placement Method of Traditional Chinese Timber Dwellings Based on Multi-objective Monitoring
Traditional Chinese timber dwellings have high historical value, artistic value, and scientific value. The complex architectural form necessitates...
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Advancement in Machine Learning: A Strategic Lookout from Cancer Identification to Treatment
Machine learning is an established data interpretation tool for the development of processing, extracting and extrapolating evocative results from...
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Vibration-Based Damage Detection of Arch Dams Using Least-Square Support Vector Machines and Salp Swarm Algorithms
This paper presents a vibration-based damage-detection approach for arch dams using least-square support vector machines and salp swarm algorithms...
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Identifying simultaneously hyper-viscoelastic parameters from a unique heterogenous relaxation test: application to engineering elastomeric materials
In this study, the hyper-viscoelastic behavior of elastomeric specimen is identified, from only one heterogeneous test. The test consists on...
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A Novel On-Site-Real-Time Method for Identifying Characteristic Parameters Using Ultrasonic Echo Groups and Neural Network
On-site and real-time non-destructive measurement of elastic constants for materials of a component in a in-service structure is a challenge due to...
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Comparison of direct collocation optimal control to trajectory optimization for parameter identification of an ellipsoidal foot–ground contact model
Foot–ground contact models play an important role in the accuracy of predictive human gait simulations, and there is a need for a...
