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  • 1.
    Feng, Xianhui
    et al.
    Faculty of Infrastructure Engineering Dalian University of Technology Dalian China.
    Kou, Wen
    Umeå universitet, Medicinska fakulteten, Institutionen för odontologi, Tandteknikerutbildning.
    Liu, Hongyuan
    College of Science and Engineering University of Tasmania Hobart Australia.
    Gong, Bin
    Faculty of Infrastructure Engineering Dalian University of Technology Dalian China;Department of Civil and Environmental Engineering Brunel University London London UK.
    Tang, Chun'an
    Faculty of Infrastructure Engineering Dalian University of Technology Dalian China.
    Study on fracture behavior of molars based on three‐dimensional high‐precision computerized tomography scanning and numerical simulation2022Ingår i: International Journal for Numerical Methods in Biomedical Engineering, ISSN 2040-7939, E-ISSN 2040-7947, Vol. 38, nr 3, artikel-id e3561Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    A series of three-dimensional (3D) numerical simulations are conducted to investigate the gradual failure process of molars in this study. The real morphology and internal mesoscopic structure of a whole tooth are implemented into the numerical simulations through computerized tomography scanning, digital image processing, and 3D matrix mapping. The failure process of the whole tooth subject to compressions including crack initiation, crack propagation, and final failure pattern is reproduced using 3D realistic failure process analysis (RFPA3D) method. It is concluded that a series of microcracks are gradually initiated, nucleated, and subsequently interconnect to form macroscopic cracks when the teeth are under over-compressions. The propagation of the macroscopic cracks results in the formation of fracture surfaces and penetrating cracks, which are essential signs and manifestations of the tooth failure. Moreover, the simulations reveal that, the material heterogeneity is a critical factor that affects the mechanical properties and fracture modes of the teeth, which vary from crown fractures to crown-root fractures and root fractures depending on different homogeneity indices.

  • 2.
    Saremi, Amin
    et al.
    Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för tillämpad fysik och elektronik.
    Stenfelt, Stefan
    Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden.
    The effects of noise-induced hair cell lesions on cochlear electromechanical responses: a computational approach using a biophysical model2022Ingår i: International Journal for Numerical Methods in Biomedical Engineering, ISSN 2040-7939, E-ISSN 2040-7947, Vol. 38, nr 5, artikel-id e3582Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    A biophysically inspired signal processing model of the human cochlea is deployed to simulate the effects of specific noise-induced inner hair cell (IHC) and outer hair cell (OHC) lesions on hearing thresholds, cochlear compression, and the spectral and temporal features of the auditory nerve (AN) coding. The model predictions were evaluated by comparison with corresponding data from animal studies as well as human clinical observations. The hearing thresholds were simulated for specific OHC and IHC damages and the cochlear nonlinearity was assessed at 0.5 and 4 kHz. The tuning curves were estimated at 1 kHz and the contributions of the OHC and IHC pathologies to the tuning curve were distinguished by the model. Furthermore, the phase locking of AN spikes were simulated in quiet and in presence of noise. The model predicts that the phase locking drastically deteriorates in noise indicating the disturbing effect of background noise on the temporal coding in case of hearing impairment. Moreover, the paper presents an example wherein the model is inversely configured for diagnostic purposes using a machine learning optimization technique (Nelder–Mead method). Accordingly, the model finds a specific pattern of OHC lesions that gives the audiometric hearing loss measured in a group of noise-induced hearing impaired humans.

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