Publications by authors named "Long Bin Tan"

A comprehensive modeling framework for the thermoforming of polymer matrix woven laminate composite was developed. Two numerical indicators, the slip path length and traction magnitude, have been identified to be positively correlated to matrix smearing and wrinkling defects. The material model has been calibrated with picture-frame experimental results, and the prediction accuracy for intra-ply shear and thickness distribution was examined with measurements of the physically formed parts.

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Thermoforming is a process where the laminated sheet is pre-heated to the desired forming temperature before being pressed and cooled between the molds to give the final formed part. Defects such as wrinkles, matrix-smear or ply-splitting could occur if the process is not optimized. Traditionally, for thermoforming of fiber-reinforced composites, engineers would either have to perform numerous physical trial and error experiments or to run a large number of high-fidelity simulations in order to determine satisfactory combinations of process parameters that would yield a defect-free part.

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In the present study, the free fall impact test in accordance with the EN1078 standard for certification of bicycle helmets is replicated using numerical simulations. The impact scenario is simulated using an experimentally validated, patient-specific head model equipped with and without a bicycle helmet. Head accelerations and intracranial biomechanical injury metrics during the impacts are recorded.

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  • The Nuss procedure is a minimally invasive surgery for correcting pectus excavatum (PE) by using a flexible pectus bar to lift the chest wall, though it comes with risks like postoperative pain and surgical uncertainties.
  • A study used finite element method (FEM) to simulate this procedure on a patient's thorax model, comparing the predictions with actual postoperative CT scans, showing small discrepancies in elevation and deviations.
  • FEM proved to be a reliable method for predicting surgical outcomes and understanding stress distributions in the ribs, aiding in the development of better surgical planning tools for PE management.
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Blast-induced traumatic brain injury has been on the rise in recent years because of the increasing use of improvised explosive devices in conflict zones. Our study investigates the response of a helmeted human head subjected to a blast of 1 atm peak overpressure, for cases with and without a standard polycarbonate (PC) face shield and for face shields comprising of composite PC and aerogel materials and with lateral edge extension. The novel introduction of aerogel into the laminate face shield is explored and its wave-structure interaction mechanics and performance in blast mitigation is analysed.

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  • The study compares two helmet designs (strap-netting and Oregon Aero foam-padding) to see how they protect against ballistic impact in different directions (frontal, lateral, rear, and top).
  • Ballistic simulations on a detailed head model measured potential head injuries, showing that top impacts led to high skull stress, while lateral and rear impacts resulted in the most significant risks for intracranial injuries.
  • Results suggested that the Oregon Aero foam-padding reduced impact forces and indicated that utilizing smaller padding inserts might offer improved protection for future helmet designs.
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In spite of anatomic proximity of the facial skeleton and cranium, there is lack of information in the literature regarding the relationship between facial and brain injuries. This study aims to correlate brain injuries with facial injuries using finite element method (FEM). Nine common impact scenarios of facial injuries are simulated with their individual stress wave propagation paths in the facial skeleton and the intracranial brain.

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This study is aimed at developing a high quality, validated finite element (FE) human head model for traumatic brain injuries (TBI) prediction and prevention during vehicle collisions. The geometry of the FE model was based on computed tomography (CT) and magnetic resonance imaging (MRI) scans of a volunteer close to the anthropometry of a 50th percentile male. The material and structural properties were selected based on a synthesis of current knowledge of the constitutive models for each tissue.

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  • Limited research exists on head injuries from complex blasts, which involve multiple blast sources affecting the head at once or in succession, potentially causing more severe injuries than single blasts due to longer exposure to pressure waves.
  • A study utilized a head-helmet model in Abaqus™ to analyze blast impacts, finding that the skull transmits high intracranial pressures (ICPs) and recommends enhanced helmet protection on the sides and rear.
  • Results indicated that consecutive frontal blasts lead to higher ICPs and increased severity of brain injuries compared to single blasts, with peak ICPs exceeding safety thresholds, suggesting the complexity of blast impacts significantly influences injury outcomes.
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  • Head injuries are a significant health issue leading to death or disability and have considerable socioeconomic impacts.
  • The study developed two finite element models (FEMs) of the human head: one without soft tissue and one with soft tissue and differentiated brain matter, validated against cadaver test data.
  • Results showed both models provided similar predictions for intracranial pressure (ICP) and brain displacement, indicating that enhancing surface details may not significantly improve injury prediction capabilities.
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  • The study uses both traditional and complex modal analyses on a finite element model of the human head-neck system to examine resonant frequencies and mode shapes, revealing results consistent with existing literature.
  • It highlights specific modal responses, including higher frequency brain modes and unique responses like the 'mastication' mode of the mandible, emphasizing the need for detailed modeling to capture all frequencies.
  • Findings indicate that a damping factor above 0.2 can reduce higher frequency modes while also lowering peak biomechanical responses, underlining the significance of determining the optimal damping factor for accurate assessments.
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