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The effect of variations in experimental and computational fidelity on data assimilation approaches
We conduct a comprehensive analysis of two data assimilation methods: the first utilizes the discrete adjoint approach with a correction applied to...
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Combining Nontraditional Response Variables with Acceleration Data for Experimental Modal Analysis
Accelerometer data is the most commonly used data for experimental modal analysis of structures. Together with measuring applied force, it provides...
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Generation method of asymmetric chainring design from pedaling torque experimental data
In cycling, pedaling is a bilateral asymmetries function that related to leg dominance. However, studies about the asymmetric shape on the chainring...
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Characterization of the dynamic behavior of structures using the Kriging surrogate and experimental data
The finite element method (FEM) is a useful numerical tool for solving engineering problems in general. FEM simulates the behavior of several...
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Ti-6Al-4V alloy printing — correlations between experimental and numerical modelling melt pool data
This study investigates the influence of processing parameters, specifically laser power and scan speed, on the melt pool characteristics of...
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Investigation of Experimental Data of Linkage Involving Adhesive Joint
Paper details the formulation of mathematical model based on the experimental data recorded during the experimentation using the adhesive joint of a...
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Variational Derivation of a Nonlinear Meso-Scale Model: Validating Thermophysical Properties of Nanofluids with Experimental Data
In this study, we present an exact derivation of a meso-scale mathematical model for analyzing heat transfer in nanofluids through variational...
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A Novel Finite Element Model Updating Application Based on Experimental Vibration Data
This paper proposes a Finite Element (FE) model updating method using structural dynamic characteristics. The method is performed on a slab bridge....
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Validation of the STEG Code against Experimental Data on Hydrodynamics of a Horizontal Steam Generator
AbstractA numerical analysis of the experiments addressed to studies of hydrodynamic processes in a horizontal steam generator has been performed...
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Ultrasound Treatment of AMg5 Aluminum–Magnesium Alloy Samples Produced from Wire: Experimental Data
AbstractExperimental samples are produced by cold metal transfer (CMT) and plasma surfacing on the basis of AMg5 aluminum–magnesium alloy wire. The...
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Structural reliability updating using experimental data
Conventional reliability analysis requires the information from an existing structure, such as a mechanical model and random distributed inputs. In...
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Geometric Accuracy of Die Engraving: Experimental Data and Modeling
AbstractOn the basis of endurance test data for a spherical end mill, mathematical models are obtained for the geometric accuracy and surface...
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Experimental Work
In this chapter, we review a series of experimental tests designed to aid understanding on the reaction propagation, temperature levels and generated...
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Comparative Analysis of a Numerical Method and Machine Learning Methods of Temperature Determination of a Doped Lubricating Layer with Experimental Data
AbstractThis article compares machine learning methods and a numerical method of determination of the doped lubricating layer with experimental data....
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Intelligent Health Monitoring of Capacitor Using Reduced Experimental Input Data
Usage of the electrolytic capacitor is a must for all power electronic converters. The reliability of electrolytic capacitors is critical for the...
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Generation of experimental data for model training to optimize fouling prediction
To successfully deal with a complex fouling problem usually entails a good understanding based on a broad spectrum of additional data. Meanwhile, a...
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Experimental Data Collection and Applied Methodologies
The simulation tests have been divided in two parts. The first part has been carried indoor, whereas the second one outdoor. During indoor tests the...
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Improving the dynamic behaviour of historic buildings using experimental data: application to a Baroque church
Vibration-based Structural Health Monitoring represents an efficient and reliable tool to build models that can predict the dynamic behaviour of...
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Discovering Latent Physical Variables from Experimental Data in Supersonic Flow Using Physics-Informed Neural Networks (PINNs)
In recent years, advancements in the machine learning and applied mathematics community have led to the development of Physics-Informed Neural...
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Utility of GAN generated synthetic data for cardiovascular diseases mortality prediction: an experimental study
PurposeElectronic Health Records (EHRs) are invaluable sources of information for healthcare research and decision-making. However, laws protecting...
