Realistic Simulation Model Research Articles

Simulation or estimation?—Two approaches to calculate financial benefits of energy communities

To date, studies examining the profitability of energy communities (ECs) with a specific focus on the distribution of energy and costs between participants have mostly proposed complex optimisation algorithms built upon household flexibility potential. In practice, however, the majority of households are not equipped with load-scheduling equipment. Therefore, this work introduces, a simulation model that aims to better reflect reality in order to assess electricity flows and the according costs in a renewable energy community (REC). To this end, two different distribution keys – static and dynamic allocation – are applied, and their implications are quantified. However, aside from realistic simulation models, simpler tools for assessing the economic viability of RECs are also required. Such tools may support the rapid diffusion of energy community concepts since potential participants are enabled to quantify financial benefits. For this purpose, an estimation model that requires no fine-grained load/generation profiles or significant computing power is presented. Since such a tool is only useful if the estimation still generates realistic outputs, its accuracy is evaluated by comparing the results it yields to those of the simulation. The calculations are conducted for a fictitious REC of ten single-family dwellings, of which five are equipped with a rooftop photovoltaic (PV) system. The results show that dynamic allocation increases the efficiency of electricity use compared to static allocation, thus benefitting all participants since the local electricity consumption is increased by 10% on average. Comparing the results of the simulation and the estimation allows to conclude that a realistic assessment of an EC’s profitability can indeed be provided with proper assumptions.

Introducing a Realistic, Low-Cost Simulation Model for Clipping of Brain Aneurysms

The current trend toward endovascular treatment of brain aneurysms may have a negative impact on young neurosurgeons who are less exposed to these lesions, thus affecting the acquisition of surgical skills in the field. Different training models have emerged to help cope with this issue, but these have specific pitfalls. Training models based on live animals or cadaveric specimens face increasing restrictions as regulations become a barrier in accessibility for everyday skills development. We introduce a novel, realistic, and inexpensive simulation model using a fresh bovine brain, and we assess its face and content validity as a training tool. A fresh bovine brain is used to simulate microsurgical fissure dissection. Arterial and aneurysmal components are created with arteries and veins harvested from chicken thigh. A 12-item questionnaire using the Likert numeric scale (grades 1- 5) was used to assess the validity of model in 10 surgeons. Ten neurosurgeons performed the simulated clipping of the aneurysm and completed a questionnaire. All surgeons surveyed responded "agree" or "strongly agree" that the simulator, and the skills trained with it, are comparable to clipping brain aneurysms. All respondents believed that this simulator could improve patient safety. We present a novel, realistic, and inexpensive simulation model for the clipping of brain aneurysms. This model was partially validated by the opinion of field experts. We believe this model has the potential to become a useful training tool for young neurosurgeons who have little exposure to real aneurysm cases.

Wavelength and pulse energy optimization for detecting hypoxia in photoacoustic imaging of the neonatal brain: a simulation study.

Cerebral hypoxia is a severe injury caused by oxygen deprivation to the brain. Hypoxia in the neonatal period increases the risk for the development of neurological disorders, including hypoxic-ischemic encephalopathy, cerebral palsy, periventricular leukomalacia, and hydrocephalus. It is crucial to recognize hypoxia as soon as possible because early intervention improves outcomes. Photoacoustic imaging, using at least two wavelengths, through a spectroscopic analysis, can measure brain oxygen saturation. Due to the spectral coloring effect arising from the dependency of optical properties of biological tissues to the wavelength of light, choosing the right wavelength-pair for efficient and most accurate oxygen saturation measurement and consequently quantifying hypoxia at a specific depth is critical. Using a realistic neonate head model and Monte Carlo simulations, we found practical wavelength-pairs that quantified regions with hypoxia most accurately at different depths down to 22 mm into the cortex neighboring the lateral ventricle. We also demonstrated, for the first time, that the accuracy of the sO2 measurement can be increased by adjusting the level of light energy for each wavelength-pair. Considering the growing interest in photoacoustic imaging of the brain, this work will assist in a more accurate use of photoacoustic spectroscopy and help in the clinical translation of this promising imaging modality. Please note that explaining the effect of acoustic aberration of the skull is not in the scope of this study.

Simulation and Optimization for a Closed-Loop Vessel Dispatching Problem in the Middle East Considering Various Uncertainties

The downstream sectors of the hydrocarbon industry in the Middle East are growing quickly. Due to their geographical locations, they need to transport products from manufacturing plants at one port to other hub ports for international shipping, forming complex closed-loop shipping systems. Such domestic shipping systems are also typical logistics structures in many energy and heavy industries near coastal regions. The operations in such systems are frequently lagging due to uncertainties, such as weather and unexpected events, and the lack of effective management techniques. More reliable and efficient systems require a better vessel operations management policy than one based on a first-available-first-use policy and constant voyage speed. This study develops a detailed and realistic simulation model to evaluate the economic and environmental performance of a closed-loop vessel shipping system, considering various uncertainties from weather and port operations. Furthermore, the optimization model has been incorporated into the simulation model to prescribe the optimal number of vessels and voyage speed to minimize the total costs. A new vessel dispatching policy, large-vessel-first-use, has been proposed and compared with the first-available-first-use policy using the developed model. Increased use of large vessels and slower voyage speeds significantly benefited the total costs and environmental effects. The optimal solution presented the potential to save 26.8% of the total cost and reduce greenhouse gas emissions up to 39% compared with the current operating condition.

Correction of Radio Interferometric Imaging for Antenna Patterns

We describe and demonstrate a technique for correcting direction dependent artifacts due to asymmetries in antenna patterns and differences among antennas used in radio interoferometric imaging. The technique can correct images in all Stokes parameters I, Q, U and V and is shown with simulated data to reduce the level of artifacts to near the level of those from the basic imaging technique. The demonstrations use simulations of a mixed array of 13.5 and 15 m antennas with asymmetric patterns. The flux densities and spectral indices of the sources in a high dynamic range realistic simulated sky model are well recovered. Source polarization properties are also recovered in tests using unpolarized and partly polarized sources. The additional computational run time for Stokes I correction is about 50% in a realistic test described.

Impact of Compression and Small Cell Deployment on NB-IoT Devices Coverage and Energy Consumption with a Realistic Simulation Model

In the last few years, Low-Power Wide-Area Network (LPWAN) technologies have been proposed for Machine-Type Communications (MTC). In this paper, we evaluate wireless relay technologies that can improve LPWAN coverage for smart meter communication applications. We provide a realistic coverage analysis using a realistic correlated shadow-fading map and path-loss calculation for the environment. Our analysis shows significant reductions in the number of MTC devices in outage by deploying either small cells or Device-to-Device (D2D) communications. In addition, we analyzed the energy consumption of the MTC devices for different data packet sizes and Maximum Coupling Loss (MCL) values. Finally, we study how compression techniques can extend the battery lifetime of MTC devices.

The Influence and Application of Bond Wires Failure on Electrothermal Characteristics of IGBT Module

The bond wires failure is one of the most common failure modes of the insulated gate bipolar transistor (IGBT) module, which will cause an increase in the overall ON-state voltage drop V <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">CE</sub> , and it is generally believed to not affect the junction-to-case thermal resistance R <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">thjc</sub> . The measured V <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">CE</sub> mainly consists of two parts: the voltage drop of the IGBT chip V <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">CE_Chip</sub> and that of the bond wire V <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">CE_wire</sub> ; the influence of bond wires failure on V <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">CE</sub> should be discussed and explained in two parts. However, these actual measurement parameters are not considered before. In this article, the impact mechanism of bond wires failure on electrothermal characteristics of the IGBT module is analyzed with the help of realistic simulation models and experiment verification. The results show that the bond wires failure only affects V <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">CE_wire</sub> , and the impact on V <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">CE_Chip</sub> is small, which can be ignored. Meanwhile, the increase in the virtual junction temperature is not caused by the increase in the power loss of the IGBT chip but by the increase in the current density of bond feet, which is caused by the decrease in the effective contact area. Besides, the measured R <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">thjc</sub> is not the intrinsic thermal resistance but slightly smaller than the intrinsic thermal resistance, and it decreases as the bond wires failure. Furthermore, the proposed mechanism can provide method guidance for the separation strategy of concurrent failure modes of IGBT modules only by monitoring the ON-state voltage drop.

Achieving a realistic design for a superconducting gantry with large momentum acceptance for proton therapy

Purpose:A systematic design procedure for a superconducting gantry is presented. To increase the momentum acceptance of the gantry beamline, alternating-gradient combined-function magnets were used to suppress dispersion. Methods:The main difficulties and challenges occurring in the design procedure, such as the difference between low- and high-order optics and the difference in beam behavior between simplified optics models and realistic magnetic fields, were analyzed. On the basic of these analyses, a step-by-step iterative design approach was proposed. In these steps, a genetic algorithm (GA) was used for multi-objective optimization, and graphics processing unit (GPU) acceleration was adopted for realistic model simulation. Results:The results of the design demonstrated that momentum acceptance of −7%∼5% was achieved for particle tracking in realistic magnetic fields. Conclusions:Using a GA, multi-objective optics fitting up to the fifth order became feasible. The optimization procedure was also more intelligent compared with the traditional one, which depends on experience and manual intervention. The use of GPU acceleration in magnetic field calculation and particle tracking dramatically reduced the overall optimization time. Finally, design optimization for a large momentum acceptance gantry beamline with realistic magnetic fields was achieved.

BEPU robustness analysis via perturbed law-based sensitivity indices

The “best-estimate plus uncertainty” (BEPU) methodology is the term used in the nuclear engineering community when dealing with uncertainty quantification issues in realistic numerical simulation models. One of the most critical hypothesis in these studies is the choice of the probability distributions of uncertain input variables which are propagated through the model. Bringing stringent justifications to the BEPU approach, especially in a safety study, requires quantifying the impact of potential uncertainty on the input variable distribution. To solve this problem, this paper deepens the robustness analysis based on the “Perturbed Law-based sensitivity Indices” (PLI). The PLI quantifies the impact of a perturbation of an input distribution on the quantity of interest (as a quantile of a model output or a safety margin) in the BEPU study. The mathematical formalism of the PLI is applied to two particular quantities of interest: the quantile and the superquantile. For both quantities, the PLI can be easily computed using a unique Monte-Carlo sample containing model inputs and output. Numerical tests are developed in order to define validity criteria of a PLI-based robustness analysis. The practical use of the method is illustrated on thermal-hydraulic computer experiments, simulating a cold leg Intermediate Break Loss Of Coolant Accident (IBLOCA) in a pressurized water nuclear reactor.

A new guideway design for the HTS Maglev vehicles considering curve negotiation

High-temperature superconducting (HTS) magnetic levitation (maglev) systems have been studied by various research groups regarding both experimental and modelling point of view. However, there exists a trade-off between levitation and guidance forces acting on the vehicle, especially in the case of high-speed curve negotiation. To overcome this trade-off, we proposed a multi-surface permanent magnet guideway (PMG) design, for the small-scale maglev vehicle, in which polarization of the permanent magnets (PM) changing with track segments. The HTS-PM interaction model was constructed by utilizing H-formulation implemented in COMSOL Multiphysics®. The hysteretic levitation and guiding force expressions used in the dynamic simulation have been obtained by a polynomial fit to force-displacement curves obtained by the finite element model built in COMSOL Multiphysics® environment. Also, the damping effect derived from free-fall dynamic tests is incorporated into the model to construct a more realistic simulation model. The effectiveness of the proposed track design has been validated through comparisons with Halbach-derived PMG. Finally, it can be thought that the proposed PMG design is a good candidate for the high-speed operation of a maglev system when the increased levitation and guiding stiffness values are considered.

An improved adaptive surrogate model and application in thermal management system design

It is time-consuming to obtain the responses of real or high-precision simulation models in complex engineering problems. The surrogate model based on sample points can approximate the real model and thus greatly reduce the computational effort. The selection of sample points has a great influence on the accuracy of the surrogate model. Aiming at the problem of sample point selection in the process of establishing surrogate model, an adaptive sampling method based on distance density and local complexity is proposed. In this method, distance density is used to quantify the sparsity of new sample points, and local complexity is applied to quantify the change complexity of response values near new sample points. The high-quality of new sample point is added to improve the accuracy of the surrogate model. This method is compared with two other classical adaptive sampling methods through nine test functions. The results show that this method can make the new sample point more distributed in the key area of sample space, so that fewer sample points are used to establish a high-precision surrogate model. Finally, the effectiveness of this method is verified through an optimization of the thermal management system design for liquid-cooled cylindrical batteries.

Effects of Stem Design on the Mechanical Behavior of Femur with Total Hip Arthroplasty

Total hip arthroplasty (THA) is a common orthopedic surgery, and almost only choice for those patients who suffer severe osteoarthritis. Zweymüller stem, one of the most reliable stems, is considered to be appropriate for elderly patients. However, the structural effectiveness of trochanteric shoulder for primary stability has not been clear yet. This research intended to perform a finite element analysis to explore the necessity of trochanteric shoulder for the primary stability. Realistic simulation models with a femoral bone model and three stem designs were carefully constructed. Analysis of relative sliding micromotion between bone and stem revealed that the shoulderless design has an acceptable primary stability. It was also suggested that the proximal broad design could be unnecessary for rectangular diaphyseal-fixation stems. This kind of simulation research can be an instruction to develop new design of cementless design to both achieve less invasive surgery and excellent duration.

THE MOST REALISTIC SURGICAL SIMULATION MODEL TO GAIN SKILLS IN LAPAROSCOPIC SURGERY IS THE CADAVERIC MODEL THIEL, ACCORDING TO OPINIONS OF DIFFERENT SPECIALIST SURGEONS

Abstract INTRODUCTION Laparoscopic procedures are still a challenge for the surgeon residents and young surgeon physicians. Different learning systems have been used without achieving a realism faithful to the lived in the operation room. All existing surgical simulation systems should be compared, with the aim of identifying the most realistic of them, for improving the surgical learning. MATERIAL AND METHODS An 18-item survey was sent to different specialized surgeons (general surgeons, gynecologists and urologists) who participated in international postgraduate laparoscopic surgery courses on cadavers embalmed by Thiel method. Participants were asked to the differences and improving skills in each surgical procedure, about the different surgical simulation models that the participants had already used. Surgeons were asked if they would recommend doing it during residency to improve their confidence in the operating room. RESULTS Attendees (n = 104) had a response rate of 92% (96 replies). The 91.8% surgeons recognized that Thiel model was more realistic than others simulation methods. The 97.9 % of respondents believed that had improved their surgical skills. Globally, 96.9% (93) of the participants surveyed recommended the conducting of these courses with Thiel cadavers to different colleagues of other specialties as a reliable simulation measure during the residency period. CONCLUSIONS Participants in the laparoscopic surgery course on the cadaver Thiel recognized that this is more realistic surgical simulation model than conventional models, one of the best ways to gain confidence and improve laparoscopic skills in operation room for inexperienced surgeons.

Placental Veins Catheterization: A Realistic Simulation Model for Medical Students.

Classical teaching has been based on “see one—do one.” More recently, a stepwise teaching approach has been described that has four steps: demonstration, deconstruction, comprehension, and performance.1,2 The process of achieving competence includes structured skill training, not just doing the technique.3Medical students have to learn to perform several procedures before the end of their medical school training. One of the competences that they need to acquire is the peripheral vein catheterization, which is the most common procedure performed in the emergency department and in the operating room. Many students have not placed even one intravenous cannula during their medical training because of lack of opportunity to practice. On the other hand, students rapidly improve their proficiency after only five attempts.4 Guidelines have been published regarding this skill acquisition, showing that the process of learning is complex, and simulators may be helpful.5To try to help in this skill performance acquirement, simulators have been developed. Simulators for peripheral vein catheterization have limitations, and even the most complex are far from providing a sensation that mimics the real experience. For medical students, the transfer of procedural skills acquired in a laboratory into clinical practice has not been clearly established.6We propose a cheap and realistic strategy: the human placenta as a model for vein catheterization. During a cesarean delivery, once the placenta is delivered and out of the surgical field, after the umbilical vessels have been clamped, the medical student is allowed several attempts at placental venous catheterization with intravenous 20-gauge or 18-gauge cannulas. As the umbilical vessels are clamped, some supra-atmospheric pressure is maintained inside the placental vascular bed. As soon as the cannula is inserted into the vein, the blood reflux is seen in the catheter, and the venous blood flows freely when the catheter is placed, as happens during routine peripheral vein catheterization in a real patient. It allows the student and the observer/supervisor (the staff) to confirm a successful venous cannulation.One limitation of this model is that once a vein has been catheterized, the blood amount inside the placental field decreases, and sometimes big hematomas can develop in very few seconds, which decreases the availability of the same placental specimen for a new training attempt. This model has also strengths, and the main one is the high number of available placental specimens in a university hospital. Another advantage is that the placental simulator is a cheap model, and also it is safe for students, patients, and staff. We believe that this model can be one more helpful tool for training medical students and even nurses in this basic skill.The authors declare no competing interests.

Modified GRNN based atomic modeling approach for nanoscale devices and TFET implementation

The simulation of realistic device models in quantum transport requires an extreme amount of memory and computation time. The computational burden in quantum transport is caused by the recursive numerical solution requirement of the Schrödinger equation with non-equilibrium Green’s function formalism. Ever decreasing device size increases the domination of the quantum mechanical effects such as scattering. Considerations of the quantum mechanical effects are crucial for emerging nanoscale devices. The solutions must consider the interactions between electron-electron, electron-phonon for qualified device modeling. In this work, a modified version of General Regression Neural Network and Non-Equilibrium Green’s Function hybrid modeling approach is proposed to overcome the mentioned computational burden. Through proposed computation processing, a pattern layer node is assigned for each atom in the atomic layer. In modified GRNN, pattern layer neuron values were extracted from NEGF calculation of three atomic layers. Higher atomic layer potential function calculation for Schrödinger equation is estimated by modified GRNN with dynamic pattern layer extension ability. A regression neuron is added to the output of the modified GRNN. Proposed modified GRNN topology is applied to model and solve atomic layer potential functions of Tunnel Field Effect Transistor in the range of seven to twenty-three atomic layers. Each atomic layer contains a hundred atoms in a row. Training data are obtained from the first three atomic layers of Tunnel FET. These training data are used for the estimation of test results for seven to twenty-three atomic layers. Results are compared with that of the incoherent NEGF model of Datta. Approximately 40 % simulation convergence time decrease is observed during implementations. Simulation results proved the importance and efficiency of the proposed approach.

Addressing the Excessive Aggregation of Membrane Proteins in the MARTINI Model.

The MARTINI model is a widely used coarse-grained force field popular for its capacity to represent a diverse array of complex biomolecules. However, efforts to simulate increasingly realistic models of membranes, involving complex lipid mixtures and multiple proteins, suggest that membrane protein aggregates are overstabilized by the MARTINI v2.2 force field. In this study, we address this shortcoming of the MARTINI model. We determined the free energy of dimerization of four transmembrane protein systems using the nonpolarizable MARTINI model. Comparison with experimental FRET-based estimates of the dimerization free energy was used to quantify the significant overstabilization of each protein homodimer studied. To improve the agreement between simulation and experiment, a single uniform scaling factor, α, was used to enhance the protein-lipid Lennard-Jones interaction. A value of α = 1.04-1.045 was found to provide the best fit to the dimerization free energies for the proteins studied while maintaining the specificity of contacts at the dimer interface. To further validate the modified force field, we performed a multiprotein simulation using both MARTINI v2.2 and the reparameterized MARTINI model. While the original MARTINI model predicts oligomerization of protein into a single aggregate, the reparameterized MARTINI model maintains a dynamic equilibrium between monomers and dimers as predicted by experimental studies. The proposed reparameterization is an alternative to the standard MARTINI model for use in simulations of realistic models of a biological membrane containing diverse lipids and proteins.

OpenMandible: An open-source framework for highly realistic numerical modelling of lower mandible physiology

ObjectiveComputer modeling of lower mandible physiology remains challenging because prescribing realistic material characteristics and boundary conditions from medical scans requires advanced equipment and skill sets. The objective of this study is to provide a framework that could reduce simplifications made and inconsistency (in terms of geometry, materials, and boundary conditions) among further studies on the topic. MethodsThe OpenMandible framework offers: 1) the first publicly available multiscale model of the mandible developed by combining cone beam computerized tomography (CBCT) and μCT imaging modalities, and 2) a C++ software tool for the generation of simulation-ready models (tet4 and hex8 elements). In addition to the application of conventional (Neumann and Dirichlet) boundary conditions, OpenMandible introduces a novel geodesic wave propagation - based approach for incorporating orthotropic micromechanical characteristics of cortical bone, and a unique algorithm for modeling muscles as uniformly directed vectors. The base intact model includes the mandible (spongy and compact bone), 14 teeth (comprising dentin, enamel, periodontal ligament, and pulp), simplified temporomandibular joints, and masticatory muscles (masseter, temporalis, medial, and lateral pterygoid). ResultsThe complete source code, executables, showcases, and sample data are freely available on the public repository: https://github.com/ArsoVukicevic/OpenMandible. It has been demonstrated that by slightly editing the baseline model, one can study different “virtual” treatments or diseases, including tooth restoration, placement of implants, mandible bone degradation, and others. SignificanceOpenMandible eases the community to undertake a broad range of studies on the topic, while increasing their consistency and reproducibility. At the same time, the needs for dedicated equipment and skills for developing realistic simulation models are significantly reduced.

Textile‐integrated microwave components based on artificial magnetic conductor

AbstractIn the paper, we introduce a textile‐integrated waveguide (TIW) based on a novel artificial magnetic conductor (AMC), which consists of hexagonal elements. Thanks to the hexagonal shape of AMC elements, general TIW components (power‐dividers, waveguide bends, etc.) can be simply created. Since AMC replaces side walls of TIW, complicated manufacturing of vias can be eliminated. Due to the complex geometry of TIW, simulation of realistic models is not trivial. Attention is therefore turned to the combination of several computer‐oriented approaches (dispersive analysis, equivalent circuits, full wave models) to model AMC structures efficiently. Outputs of simulations are compared with measurements of components fabricated from self‐adhesive copper foil fixed to a three‐dimensional (3D) knitted substrate. Experiments show that simulations and measurements are in an acceptable agreement.

Quantification of numerical mixing in coastal ocean models through an offline method

It is well known that discrete advection schemes can induce spurious numerical mixing in numerical models. In the present study, an offline method is applied to several idealized lock-exchange simulations and a realistic model simulation of BYECS (Bohai Sea, Yellow Sea, and East China Sea) to estimate the magnitude of numerical mixing. Numerical mixing is defined as the tracer variance dissipation rate induced by the discretization of advection schemes, and the offline method is achieved through diagnosing the residual of the tracer variance balance equation in terms of model output data. The offline method is demonstrated to be appropriate to estimate the volume (or depth) and temporally averaged numerical mixing when the model output data capture typical flow timescales. In both of the lock-exchange and BYECS simulations, the spatial distributions of numerical and explicit physical mixing of salinity correspond to the distributions of horizontal and vertical salinity gradients, respectively. In the lock-exchange simulations, explicit physical mixing depresses the magnitude of numerical mixing through reducing the horizontal salinity gradients at the heading fronts. In the BYECS simulations, numerical mixing of salinity inside the Changjiang River plume region is stronger during spring tides than neap tides.

Sequential data assimilation for mechanical systems with complex image data: application to tagged-MRI in cardiac mechanics

Tagged Magnetic Resonance images (tagged-MRI) are generally considered to be the gold standard of medical imaging in cardiology. By imaging spatially-modulated magnetizations of the deforming tissue, indeed, this modality enables an assessment of intra-myocardial deformations over the heart cycle. The objective of the present work is to incorporate the most valuable information contained in tagged-MRI in a data assimilation framework, in order to perform joint state-parameter estimation for a complete biomechanical model of the heart. This type of estimation is the second major step, after initial anatomical personalization, for obtaining a genuinely patient-specific model that integrates the individual characteristics of the patient, an essential prerequisite for benefitting from the model predictive capabilities. Here, we focus our attention on proposing adequate means of quantitatively comparing the cardiac model with various types of data that can be extracted from tagged-MRI after an initial image processing step, namely, 3D displacements fields, deforming tag planes or grids, or apparent 2D displacements. This quantitative comparison—called discrepancy measure—is then used to feed a sequential data assimilation procedure. In the state estimation stage of this procedure, we also propose a new algorithm based on the prediction–correction paradigm, which provides increased flexibility and effectiveness in the solution process. The complete estimation chain is eventually assessed with synthetic data, produced by running a realistic model simulation representing an infarcted heart characterized by increased stiffness and reduced contractility in a given region of the myocardium. From this simulation we extract the 3D displacements, tag planes and grids, and apparent 2D displacements, and we assess the estimation with each corresponding discrepancy measure. We demonstrate that—via regional estimation of the above parameters—the data assimilation procedure allows to quantitatively estimate the biophysical parameters with good accuracy, thus simultaneously providing the location of the infarct and characterizing its seriousness. This shows great potential for combining a biomechanical heart model with tagged-MRI in order to extract valuable new indices in clinical diagnosis.