model type description computational time accuracy rmse key advantage reference cfd fsi (Abaqus Inc)
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Abaqus Inc
model type description computational time accuracy rmse key advantage reference cfd fsi
Model Type Description Computational Time Accuracy Rmse Key Advantage Reference Cfd Fsi, supplied by Abaqus Inc, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/cfd+model/fsi+model/pm41806088-159-0-13
Average 86 stars, based on 1 article reviews
Model Type Description Computational Time Accuracy Rmse Key Advantage Reference Cfd Fsi, supplied by Abaqus Inc, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/cfd+model/fsi+model/pm41806088-159-0-13
Average 86 stars, based on 1 article reviews
model type description computational time accuracy rmse key advantage reference cfd fsi - by Bioz Stars,
2026-10
86/100 stars
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other:Article Title: In vitro hemodynamics of fabric composite membrane for cardiac valve prosthesis replacement. Article Snippet: This study aimed to investigate the hemodynamics of a novel fabric composite that can be used as a substitute for bovine pericardium.. The structure is composed of ultrahigh molecular weight polyethylene (UHMWPE) fabric coated with thermoplastic polyurethane (TPU) membranes on both sides.. In vitro experiments were carried out on two composite valve samples with different specifications and a bovine pericardial one with the same dimension and structure. Article Title: Hemodynamics and wall shear metrics in a pulmonary autograft: Comparing a fluid-structure interaction and computational fluid dynamics approach. Article Snippet: Objective: In young patients, aortic valve disease is often treated by placement of a pulmonary autograft (PA) which adapts to its new environment through growth and remodeling.. To better understand the hemodynamic forces acting on the highly distensible PA in the acute phase after surgery, we developed a fluid-structure interaction (FSI) framework and comprehensively compared hemodynamics and wall shear-stress (WSS) metrics with a computational fluid dynamic (CFD) simulation.. Methods: The FSI framework couples a prestressed non-linear hyperelastic arterial tissue model with a fluid model using the in-house coupling code CoCoNuT. Comparison:Article Title: Patient-specific air puff-induced loading using machine learning Article Snippet: The results of the comparison between the fitted GBR algorithm and the numerical values obtained from the FSI model show a good agreement with MAE = 0.0212, RMSE = 0.0682, and an execution time of 12 s. Then, we demonstrated the influence of different values of the CCT in the range (445, 495, 545, 595, and 645 μm) on the pressure distribution on the cornea at an IOP of 15 mmHg and a material stiffness coefficient of 0.0541, and the fitted algorithm shows high agreement with the numerical ABAQUS model with MAE = 0.0171, RMSE = 0.0578, and an execution time of 10 s. Finally, the variations of the material stiffness coefficient in the range (0.0328, 0.0541, 0.0683, 0.0811, and 0.1082) to represent the age effect are tested at IOP of 15 mmHg and CCT of 545 μm, and the fitted pressure distribution agrees well with the numerical ABAQUS model with an MAE of 0.0113, an RMSE of 0.0491, and an execution time of 12 s. shows the effect of changing each corneal parameter separately on the fitted pressure load at T = 16 m. The plots for minimum and maximum values for the parameters are shown to feel the influence of changing the corneal parameters on the predicted pressure load. .. They show how the algorithm predictions agreed very much with the numerical values obtained from the Article Title: Reduced order modelling of air-puff test for corneal material characterisation. Article Snippet: The GBR algorithm again aligned closely with the ABAQUS numerical model, with MAE = 0.0171, RMSE = 0.0578, and an execution time of 10 s. Finally, 13652818, 0, D ow nloaded from https://onlinelibrary.w iley.com /doi/10.1111/jm i.70077, W iley O nline L ibrary on [16/03/2026]. .. See the T erm s and C onditions (https://onlinelibrary.w iley.com /term s-and-conditions) on W iley O nline L ibrary for rules of use; O A articles are governed by the applicable C reative C om m ons L icense MAKLAD and HAO 9 F IGURE 4 (A) Comparison between the numerical Generated:Article Title: Reduced order modelling of air-puff test for corneal material characterisation. Article Snippet: .. The dataset used to develop the regression model comprised 17 numerical simulations generated using the Biomarker Discovery:Article Title: Reduced order modelling of air-puff test for corneal material characterisation. Article Snippet: .. The dataset used to develop the regression model comprised 17 numerical simulations generated using the Software:Article Title: Patient-specific air puff-induced loading using machine learning Article Snippet: .. In this section, we explain the input dataset of our algorithm of the fully coupled |