Relevant bibliographies by topics / Validated FE models

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Validated FE models'

Author: Grafiati
Published: 4 June 2021
Last updated: 12 February 2022

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Journal articles on the topic "Validated FE models"

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Richert, Raphaël, Jean-Christophe Farges, Faleh Tamimi, Naim Naouar, Philippe Boisse, and Maxime Ducret. "Validated Finite Element Models of Premolars: A Scoping Review." Materials 13, no. 15 (2020): 3280. http://dx.doi.org/10.3390/ma13153280.

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Finite element (FE) models are widely used to investigate the biomechanics of reconstructed premolars. However, parameter identification is a complex step because experimental validation cannot always be conducted. The aim of this study was to collect the experimentally validated FE models of premolars, extract their parameters, and discuss trends. A systematic review was performed following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Records were identified in three electronic databases (MEDLINE [PubMed], Scopus, The Cochrane Library) by two indepen
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Completo, A., F. Fonseca, and J. A. Simões. "Finite Element and Experimental Cortex Strains of the Intact and Implanted Tibia." Journal of Biomechanical Engineering 129, no. 5 (2007): 791–97. http://dx.doi.org/10.1115/1.2768382.

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Finite Element (FE) models for the simulation of intact and implanted bone find their main purpose in accurately reproducing the associated mechanical behavior. FE models can be used for preclinical testing of joint replacement implants, where some biomechanical aspects are difficult, if not possible, to simulate and investigate in vitro. To predict mechanical failure or damage, the models should accurately predict stresses and strains. Commercially available synthetic femur models have been extensively used to validate finite element models, but despite the vast literature available on the ch
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Libby, Joseph, Arsalan Marghoub, David Johnson, Roman H. Khonsari, Michael J. Fagan, and Mehran Moazen. "Modelling human skull growth: a validated computational model." Journal of The Royal Society Interface 14, no. 130 (2017): 20170202. http://dx.doi.org/10.1098/rsif.2017.0202.

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During the first year of life, the brain grows rapidly and the neurocranium increases to about 65% of its adult size. Our understanding of the relationship between the biomechanical forces, especially from the growing brain, the craniofacial soft tissue structures and the individual bone plates of the skull vault is still limited. This basic knowledge could help in the future planning of craniofacial surgical operations. The aim of this study was to develop a validated computational model of skull growth, based on the finite-element (FE) method, to help understand the biomechanics of skull gro
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Hashim, Hafizan, Amir Radzi Ab Ghani, and Wahyu Kuntjoro. "Bending Response and Energy Absorption of Closed-Hat-Section Beams." Modern Applied Science 10, no. 11 (2016): 225. http://dx.doi.org/10.5539/mas.v10n11p225.

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Many articles on bending collapse but not limited to closed-hat-section beams have been reported mainly from experimental point of view but less in simulation-based approach. Detailed investigation on critical parameters of closed-hat-section beams to examine their energy absorption capability is also less found in the literature. This paper presents the procedure for development and validation of a finite element (FE) model of a closed-hat-section beam under quasi static three-point bending using an explicit nonlinear FE technique. Developed FE models were validated through comparison with ex
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Karadogan, Celalettin, Patrick Cyron, and Mathias Liewald. "Materialcharakterisierung mittels Künstlicher IntelIigenz/Material characterisation by using machine learning models." wt Werkstattstechnik online 110, no. 10 (2020): 656–60. http://dx.doi.org/10.37544/1436-4980-2020-10-12.

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Die für die FEM (Finite-Elemente-Methode)-Simulation von Blechumformprozessen benötigten validierten Materialparameter können heutzutage durch eine vollflächige optische Messung der Verformung eines Prüfkörpers in Kombination mit einem simulationsbasierten inversen Ansatz ermittelt werden. Dieser inverse Ansatz erfordert jedoch Fachwissen in der FEM-Analyse, Optimierung sowie Programmierung und kann zudem recht zeitaufwendig sein. Vor diesem Hintergrund wird in diesem Beitrag eine auf maschinellem Lernen basierende Methode zur Bestimmung von validierten Materialparametern vorgestellt. &nbs
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Agostinho Hernandez, Bruno, Harinderjit Singh Gill, and Sabina Gheduzzi. "A Novel Modelling Methodology Which Predicts the Structural Behaviour of Vertebral Bodies under Axial Impact Loading: A Finite Element and DIC Study." Materials 13, no. 19 (2020): 4262. http://dx.doi.org/10.3390/ma13194262.

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Cervical spine injuries (CSIs) arising from collisions are uncommon in contact sports, such as rugby union, but their consequences can be devastating. Several FE modelling approaches are available in the literature, but a fully calibrated and validated FE modelling framework for cervical spines under compressive dynamic-impact loading is still lacking and material properties are not adequately calibrated for such events. This study aimed to develop and validate a methodology for specimen-specific FE modelling of vertebral bodies under impact loading. Thirty-five (n = 35) individual vertebral b
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Fan, Wei, Dan Zhao, and Li-Xin Guo. "A finite element model of the human lower thorax to pelvis spinal segment: Validation and modal analysis." Bio-Medical Materials and Engineering 32, no. 5 (2021): 267–79. http://dx.doi.org/10.3233/bme-196017.

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BACKGROUND: Several finite element (FE) models have been developed to study the effects of vibration on human lumbar spine. However, the authors know of no published results so far that have proposed computed tomography-based FE models of whole lumbar spine including the pelvis to conduct dynamic analysis. OBJECTIVE: To create and validate a three-dimensional ligamentous FE model of the human lower thorax to pelvis spinal segment (T12–Pelvis) and provide a detailed simulation environment to investigate the dynamic characteristics of the lumbar spine under whole body vibration (WBV). METHODS: T
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LI, FAN, HONGGENG LI, WEI HU, SICHENG SU, and BINGYU WANG. "SIMULATION OF MUSCLE ACTIVATION WITH COUPLED NONLINEAR FE MODELS." Journal of Mechanics in Medicine and Biology 16, no. 06 (2016): 1650082. http://dx.doi.org/10.1142/s0219519416500822.

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Muscle activation plays an important role in head–neck dynamic response in vehicle accidents, especially in low speed impacts. The aim of the present study was to analyze the mechanical characteristics and dynamic stability of the muscle using coupled non-linear finite element model, which could be further applied for biomechanical study of head–neck system in car crash accidents. A rabbit tibialis anterior (TA) geometry model was developed. Two finite element models of TA were developed with coupled constitutive models. One coupled model was developed combining quasi-linear viscoelastic (QLV)
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Walker, Joseph C., Mark B. Ratcliffe, Peng Zhang, et al. "MRI-based finite-element analysis of left ventricular aneurysm." American Journal of Physiology-Heart and Circulatory Physiology 289, no. 2 (2005): H692—H700. http://dx.doi.org/10.1152/ajpheart.01226.2004.

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Tagged MRI and finite-element (FE) analysis are valuable tools in analyzing cardiac mechanics. To determine systolic material parameters in three-dimensional stress-strain relationships, we used tagged MRI to validate FE models of left ventricular (LV) aneurysm. Five sheep underwent anteroapical myocardial infarction (25% of LV mass) and 22 wk later underwent tagged MRI. Asymmetric FE models of the LV were formed to in vivo geometry from MRI and included aneurysm material properties measured with biaxial stretching, LV pressure measurements, and myofiber helix angles measured with diffusion te
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Qiu, Tian-Xia, Ee-Chon Teo, and Qing-Hang Zhang. "VALIDATION OF FINITE ELEMENT MODELS OF THORACOLUMBAR T11-T12 AND T12-L1 AND COMPARISON OF THEIR BIOMECHANICAL RESPONSES." Journal of Musculoskeletal Research 09, no. 03 (2005): 133–43. http://dx.doi.org/10.1142/s0218957705001576.

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The objective of this study was to build and validate the FE models of thoracolumbar junctional T11-T12 and T12-L1 functional spinal units (FSUs) and compare the biomechanical responses of the two FSUs under physiological loading modes: flexion, extension, lateral bending and axial rotation. Anatomically accurate FE models of thoracolumbar T11-T12 and T12-L1 FSUs were developed and validated against published experimental results in terms of load displacement responses and range of motion (ROM) under flexion and extension pure moments of 7.5 Nm, left and right lateral bending pure moments of 7
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Dissertations / Theses on the topic "Validated FE models"

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Chamoun, Simon, and Marwan Trabulsi. "Modal analysis of pedestrian-induced torsional vibrations based on validated FE models." Thesis, KTH, Bro- och stålbyggnad, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-209956.

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Finite element (FE) models serve as the base of many different types of analysis as e.g. dynamic analysis. Hence, obtaining FE models that represent the actual behaviour of real structures with great accuracy is of great importance. However, more often than not, there are differences between FE models and the structures being modelled, which can depend on numerous factors. These factors can consist of uncertainties in material behaviour, geometrical properties and boundary- and continuity conditions. Model validation is therefore an important aspect in obtaining FE models that represents reali
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Book chapters on the topic "Validated FE models"

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Mikic, Nikola, and Anders R. Korshoej. "Improving Tumor-Treating Fields with Skull Remodeling Surgery, Surgery Planning, and Treatment Evaluation with Finite Element Methods." In Brain and Human Body Modeling 2020. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-45623-8_4.

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AbstractTumor-treating fields (TTFields) are alternating fields (200 kHz) used to treat glioblastoma (GBM), which is one of the deadliest cancer diseases of all. Glioblastoma is a type of malignant brain cancer, which causes significant neurological deterioration and reduced quality of life, and for which there is currently no curative treatment. TTFields were recently introduced as a novel treatment modality in addition to surgery, radiation therapy, and chemotherapy. The fields are induced noninvasively using two pairs of electrode arrays placed on the scalp. Due to low electrical conductivity, significant currents are shielded from the intracranial space, potentially compromising treatment efficacy. Recently, skull remodeling surgery (SR-surgery) was proposed to address this issue. SR-surgery comprises the formation of skull defects or thinning of the skull over the tumor to redirect currents toward the pathology and focally enhance the field intensity. Safety and feasibility of this concept were validated in a clinical phase 1 trial (OptimalTTF-1), which also indicated promising survival benefits. This chapter describes the FE methods used in the OptimalTTF-1 trial to plan SR-surgery and assess treatment efficacy. We will not present detailed modeling results from the trial but rather general concepts of model development and field calculations. Readers are kindly referred to Wenger et al. [1] for a more general overview of the clinical implications and applications of TTFields modeling.
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Kasthurirangan Gopalakrishnan. "Real-Time Non-Destructive Evaluation of Airport Pavements Using Neural Network Based Models." In Computational Models, Software Engineering, and Advanced Technologies in Air Transportation. IGI Global, 2010. http://dx.doi.org/10.4018/978-1-60566-800-0.ch007.

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Nondestructive test (NDT) and evaluation methods are well-suited for characterizing materials and determining structural integrity of airfield pavement systems. The Heavy Weight Deflectometer (HWD) test is one of the most widely used NDT impulse device for assessing the structural condition of airport pavements in a non-destructive manner. Through inverse analysis of HWD deflection data (more commonly referred to as backcalculation), the structural stiffness parameters of the individual airport pavement layers are, in general, determined using iterative optimization routines. In recent years, Artificial Neural Networks (ANN) aided inverse analysis has emerged as a successful alternative for predicting pavement layer moduli from HWD deflection data in real-time. Especially, the use of Finite Element (FE) based pavement modeling results for training the ANN aided inverse analysis is considered to be accurate in realistically characterizing the non-linear stress-sensitive response of underlying pavement layers. The development of an effective tool for real-time backcalculation of flexible airfield pavement layer moduli based on HWD test data is discussed in this Chapter. The ANN-based backcalculation tool is validated using actual field data acquired from a full-scale, state-of-the-art airport pavement test facility.
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Mylavarapu, Deepak, Manas Das, and Ganesh Narayanan R. "Prediction of Temperature Evolution During Self-Pierced Riveting of Sheets." In Handbook of Research on Manufacturing Process Modeling and Optimization Strategies. IGI Global, 2017. http://dx.doi.org/10.4018/978-1-5225-2440-3.ch018.

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Weight reduction of automotive components by tailoring materials is the state of the art. This basically has resulted in the development of advanced joining methods like clinching, friction stir welding, self-pierced riveting etc. to assemble similar or dissimilar materials, with significant change in sheet properties. In the present work, the main aim is to predict the temperature evolution during Self-Pierced Riveting (SPR) of sheets by Finite Element (FE) analyses. Load evolution is also predicted. Generally temperature estimation during SPR is not attempted. The influence of a few selected SPR parameters has been studied on the temperature and load evolution through FE simulations. The relationship between these parameters and the temperature and the load evolution are revealed. Later a neural network model is developed to predict the temperature rise during SPR. The same has been validated at 20 intermediate levels and the predictions are accurate. Thus a hybrid FEM-ANN model for SPR has been developed to predict the SPR outputs efficiently.
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Tajdari, M., A. Maqsood, H. Li, S. Saha, JF Sarwark, and WK Liu. "Artificial intelligence data-driven 3D model for AIS." In Studies in Health Technology and Informatics. IOS Press, 2021. http://dx.doi.org/10.3233/shti210453.

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Scoliosis is a 3D deformation of the spinal column, characterized by a lateral deviation of the spine, accompanied by axial rotation of the vertebrae. Adolescent Idiopathic Scoliosis (AIS), is the most common type, affecting children between ages 8 to 18 when bone growth is at its maximum rate. The selection of the most appropriate treatment options is based on the surgeon’s experience. So, developing a clinically validated patient-specific model of the spine would aid surgeons in understanding AIS in early stages and propose an efficient method of treatment for the individual patient. This project steps include: Developing a clinically validated patient-specific Reduced Order Finite Element Model (ROFEM) of the spine, predicting AIS progression using data mining and proposing a method of treatment. First we implement FE synergistically with bio-mechanical information, image processing and data science techniques to improve predictive ability. Initial geometry of the spine will be extracted from the x-ray images from different planes and imported to FEM software to generate the spine model and perform analysis. A RO model is developed based on the detailed spinal FEM. Next, a neural network is used to predict the spinal curvature. The ability to predict the severity of AIS will have an immense impact on the treatment of AIS-affected children. Access to a predictive and patient-specific model will enable the physicians to have a better understanding of spinal curvature progression. Consequently, the physicians will be able to educate families, choose the most appropriate treatment option and asses for surgical intervention.
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Conference papers on the topic "Validated FE models"

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Kiapour, A. M., A. Kiapour, C. K. Demetropoulos, and V. K. Goel. "A Novel Framework to Assess ACL Injury Risk Based on Validated Personalized Finite Element Models." In ASME 2013 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/sbc2013-14333.

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The anterior cruciate ligament (ACL) is one of the most frequently injured ligaments of the knee, with a prevalence estimated to be 1 in 3000 in the U.S. population. Current approaches to biomechanical finite element (FE) modeling of the knee are at a crossroads. While the ideal scenario for clinically applicable FE modeling would be a subject-specific approach with detailed, image-based anatomic reconstruction of the joint, the computational intensity of such an approach would almost certainly preclude its clinical applicability. The assumption that an accurate assessment of an individual’s A
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Connaire, Adrian, Krassimir Doynov, Ruairi Nestor, and Venkat Krishnan. "Validated Methodology for Calculating Fatigue Capacity of Deepwater Umbilicals." In ASME 2018 37th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/omae2018-77099.

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Steel tube umbilical designs are becoming more complex and are being deployed in increasingly severe environments. Umbilical designs can now accommodate up to 3-inch diameter steel tubes for chemical and hydraulic injection, up to four layers of armoring, multiple electrical cables and fiber optic lines. Large power transmission cables are also being incorporated in umbilical constructions. This is leading to ever increasing umbilical mass, radial loads, pressure loads and increased demands on the designer to demonstrate adequate fatigue capacity. A method has been developed for predicting the
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Bordo, Luca, Silvia Bruzzone, Andrea Perrone, and Laura Traversone. "Prediction of Clearance in Industrial Gas Turbine Validated by Field Operation Data." In ASME Turbo Expo 2012: Turbine Technical Conference and Exposition. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/gt2012-69617.

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During load operations the gas turbine is characterized by cyclic transients and long dwell times, resulting clearance variation occurs. Tight clearances in both the compressor and the turbine section is one key to high component efficiencies. However, under any operating condition, some clearance must be maintained in order to avoid contact between rotating and stationary parts. The optimization of the clearances during the running is one of the most relevant key to improve the engine performance, a Hydraulic Clearance Optimization (HCO) system is installed on the Ansaldo Energia gas-turbine
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Zehn, Manfred W., Gerald Schmidt, and Oliver Martin. "Parameter Adaptation With Automatically Selected Co-Ordinates From Measured Eigenvectors As a Way to a Validated FE Model." In ASME 1997 Design Engineering Technical Conferences. American Society of Mechanical Engineers, 1997. http://dx.doi.org/10.1115/detc97/vib-4144.

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Abstract This paper considers an algorithm on the basis of parameter adaptation for mass and stiffness embedded in the eigenvalue problem solver. The algorithm is intended for large finite element (FE) models. The errors, which can be reduced by the procedure described in this paper, occur due to detailed features, which would require an unduly fine mesh to be included in the model, or in uncertainties in the description of mechanical behaviour, material properties, etc. Another source for errors are model reduction techniques (superelement technique) necessary for the application of the model
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Do, Son, Karim Serasli, and David Smith. "Combined Measurement and Finite Element Analysis to Map Residual Stresses in Welded Components." In ASME 2013 Pressure Vessels and Piping Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/pvp2013-97338.

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Through thickness measurement of residual stresses is now undertaken routinely for complex welded components. To predict residual stress distributions finite element (FE) simulations of the welding of the component are also carried out using well established codes, with the simulations sometimes validated via measurements. Measurements are usually undertaken at locations where it is judged that the peak residual stresses occur. Therefore comparisons are often confined to limited locations. But this raises the question whether the simulated residual stresses at other locations are correct. To e
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Krundaeva, Anastasia N., Yury N. Shmotin, Roman A. Didenko, and Dmitry V. Karelin. "Experimental and Numerical Investigation of Non-Impregnated Aramid Fibers and Winding for Combined Fan Case." In ASME Turbo Expo 2014: Turbine Technical Conference and Exposition. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/gt2014-27096.

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The layer of non-impregnated aramid fibers is widely used in the containment systems of aircraft gas turbine engines. Such systems are found to be especially cost-effective and light weight for mitigating engine debris during a fan blade-out event. This is mostly because non-impregnated aramid fibers have a high strength per unit weight. Moreover, it is inexpensive to manufacture such a containment system compared to traditional metallic systems. To properly utilize this advantage, it is necessary to have a finite element (FE) analysis modeling methodology for daily design tasks. Non-impregnat
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Moghaddam, Hesam S., Asghar Rezaei, Mariusz Ziejewski, and Ghodrat Karami. "Biomechanical Analysis of the Sensitivity of Brain Tissue Responses to FE Head Models in the Study of Impact-Induced TBI." In ASME 2020 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/imece2020-23086.

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Abstract A numerical investigation is conducted on the injury-related biomechanical parameters of the human head under blunt impacts. The objective of this research is twofold; first to understand the role of the employed finite element (FE) head model — with its specific components, shape, size, material properties, and mesh size — in predicting tissue responses of the brain, and second to investigate the fidelity of pressure response in validating FE head models. Accordingly, two independently established and validated FE head models are impacted in two directions under two impact severities
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Acikgoz, S., M. B. Ozer, T. J. Royston, H. A. Mansy, and R. H. Sandler. "Experimental and Computational Models for Simulating Sound Propagation and Acoustic Source Localization Within the Lungs." In ASME 2006 International Mechanical Engineering Congress and Exposition. ASMEDC, 2006. http://dx.doi.org/10.1115/imece2006-16297.

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An acoustic boundary element (BE) model for porous compliant material like the lung parenchyma is developed and validated theoretically and experimentally. This BE model is coupled with a source localization algorithm to predict the position of an acoustic source within a lung phantom. The BE model is also coupled with a finite element (FE) model to simulate the surrounding shell-like chest wall. Experimental studies validate the BE-based source localization algorithm and show that the same algorithm fails if the BE simulation is replaced with a free field assumption that neglects reflections
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Jung, Sung Pil, Tae Won Park, and Jin Hee Lee. "Numerical Analysis of the Dynamic Interaction Between Pantograph and Overhead Contact Line Using FEM." In 2011 Joint Rail Conference. ASMEDC, 2011. http://dx.doi.org/10.1115/jrc2011-56038.

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This study aims to create a numerical analysis model which can investigate the interaction between pantograph and overhead contact line used for railway vehicles, and validate the simulation results according to EN 50318 standards. Finite element analysis models of pantograph and overhead contact line are created using SAMCEF, a commercial FE analysis program, and mean, standard deviation, maximum and minimum values of contact forces are obtained. The simulation results are validated according to EN 50318, and the reliability of SAMCEF as an analysis solver of railway vehicle’s catenary system
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Wang, Fa-Cheng, Hua-Yang Zhao, and Lin-Hai Han. "Analytical behavior of concrete-filled aluminum tubular stub columns under axial compression." In 12th international conference on ‘Advances in Steel-Concrete Composite Structures’ - ASCCS 2018. Universitat Politècnica València, 2018. http://dx.doi.org/10.4995/asccs2018.2018.7135.

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This paper presents numerical investigation of circular concrete-filled aluminum tubular (CFAT) stub columns under axial compression. The numerical models were developed using the finite element (FE) package ABAQUS. The parameters commonly employed in conventional CFST FE modeling have been discussed in this study. The nonlinearities of concrete and aluminum materials and the interaction between concrete and aluminum tube were considered. Numerical models were validated against collected experimental data. The ultimate loads, load-axial strain relationship and failure modes from numerical simu
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