scholarly journals A Fully Coupled Model for Electromechanics of the Heart

2012 ◽  
Vol 2012 ◽  
pp. 1-10 ◽  
Author(s):  
Henian Xia ◽  
Kwai Wong ◽  
Xiaopeng Zhao
Keyword(s):  
Cardiac Electrophysiology ◽  
Cardiac Tissue ◽  
Coupled Model ◽  
Cardiac Mechanics ◽  
Parallel Simulation ◽  
Induced Current ◽  
Numerical Examples ◽  
Fully Coupled ◽  
Simulation Scheme ◽  
Realistic Geometry

We present a fully coupled electromechanical model of the heart. The model integrates cardiac electrophysiology and cardiac mechanics through excitation-induced contraction and deformation-induced current. Numerical schemes based on finite element were implemented in a supercomputer. Numerical examples were presented using a thin cardiac tissue and a dog ventricle with realistic geometry. Performance of the parallel simulation scheme was studied. The model provides a useful tool to understand cardiovascular dynamics.

Stress self-sensing in Amplified Piezoelectric Actuators through a fully-coupled model of hysteresis

2020 ◽  
Vol 579 ◽  
pp. 411894
Author(s):  
Valerio Apicella ◽  
Carmine Stefano Clemente ◽  
Daniele Davino ◽  
Damiano Leone ◽  
Ciro Visone
Keyword(s):  
Coupled Model ◽  
Piezoelectric Actuators ◽  
Fully Coupled

scholarly journals Accelerating mono-domain cardiac electrophysiology simulations using OpenCL

2015 ◽  
Vol 1 (1) ◽  
pp. 413-417
Author(s):  
Eike M. Wülfers ◽  
Zhasur Zhamoliddinov ◽  
Olaf Dössel ◽  
Gunnar Seemann
Keyword(s):  
Cardiac Electrophysiology ◽  
Cardiac Tissue ◽  
Ionic Currents ◽  
Domain Model ◽  
Electrical Excitation ◽  
Simulation Domain ◽  
Speed Up ◽  
Cross Platform ◽  
Atrial Myocyte ◽  
Intel Xeon

AbstractUsing OpenCL, we developed a cross-platform software to compute electrical excitation conduction in cardiac tissue. OpenCL allowed the software to run parallelized and on different computing devices (e.g., CPUs and GPUs). We used the macroscopic mono-domain model for excitation conduction and an atrial myocyte model by Courtemanche et al. for ionic currents. On a CPU with 12 HyperThreading-enabled Intel Xeon 2.7 GHz cores, we achieved a speed-up of simulations by a factor of 1.6 against existing software that uses OpenMPI. On two high-end AMD FirePro D700 GPUs the OpenCL software ran 2.4 times faster than the OpenMPI implementation. The more nodes the discretized simulation domain contained, the higher speed-ups were achieved.

Stinger Structural Analysis Using Fully Coupled Model for Pipelay Operations

2021 ◽  
Author(s):  
Anupam Gupta ◽  
Sudhakar Tallavajhula ◽  
Sachin Mathakari
Keyword(s):  
Structural Analysis ◽  
Coupled Model ◽  
Fully Coupled

scholarly journals A New Coupled Modeling Approach to Simulate Terrestrial Water Storage in Southern California

Water ◽  
2020 ◽  
Vol 12 (3) ◽  
pp. 808 ◽  
Author(s):  
Fernando De Sales ◽  
David E. Rother
Keyword(s):  
Southern California ◽  
Water Storage ◽  
Coupled Model ◽  
Atmospheric Conditions ◽  
Terrestrial Water Storage ◽  
Aquifer Recharge ◽  
Coupled Modeling ◽  
Aquifer Systems ◽  
Terrestrial Water ◽  
Fully Coupled

The study introduces a new atmosphere-land-aquifer coupled model and evaluates terrestrial water storage (TWS) simulations for Southern California between 2007 and 2016. It also examines the relationship between precipitation, groundwater, and soil moisture anomalies for the two primary aquifer systems in the study area, namely the Coastal Basin and the Basin and Range aquifers. Two model designs are introduced, a partially-coupled model forced by reanalysis atmospheric data, and a fully-coupled model, in which the atmospheric conditions were simulated. Both models simulate the temporal variability of TWS anomaly in the study area well (R2 ≥ 0.87, P < 0.01). In general, the partially-coupled model outperformed the fully-coupled model as the latter overestimated precipitation, which compromised soil and aquifer recharge and discharge. Simulations also showed that the drought experienced in the area between 2012 and 2016 caused a decline in TWS, evapotranspiration, and runoff of approximately 24%, 65%, and 11%, and 20%, 72% and 8% over the two aquifer systems, respectively. Results indicate that the models first introduced in this study can be a useful tool to further our understanding of terrestrial water storage variability at regional scales.

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