Abstract: Systems and methods are disclosed for preserving patient privacy while transmitting health data from one geographic region to another geographic region for data analysis. One method includes receiving patient-specific health data including patient privacy information at a first region; removing the patient privacy information from the patient-specific health data to generate anonymous health data; storing the patient privacy information at the first region; and transmitting the anonymous health data to a second region for analysis.

Abstract: A system and method are provided for operating a wind farm includes determining a wind direction and identifying a turbine cluster, which is a subset of a plurality of wind turbines of the wind farm. The subset includes an upwind turbine and a downwind turbine that is affected by a wake emanating from the upwind turbine. The controller then determines a difference between a freestream maximal cluster power output and a wake-affected cluster power output for the turbine cluster. The controller determines a mitigation setpoint combination for the subset configured to establish a mitigated cluster power output. Based on the mitigation setpoint combination, an operating state of at least one wind turbine of the turbine cluster is changed.

Abstract: A computer-implemented method can include generating centerlines of a patient's cardiovascular network, determining geometric features of the cardiovascular network based on the centerlines and a three-dimensional (3D) computer model of the cardiovascular network, constructing a lumped parameter network (LPN) of resistors corresponding to the cardiovascular network, and solving a system of equations corresponding to flow and pressure for the LPN model.

Abstract: A flood footprint estimation system that can generate a requested flood footprint is described herein. For example, the flood footprint estimation system can estimate water surface elevations at various points along a stream or river. The flood footprint estimation system can then perform a smoothing operation on the estimated water surface elevations to generate a trend line or curve of the estimated water surface elevations in which each point of the trend line or curve corresponds to a water surface elevation value that is no greater than any of the water surface elevation values of the previous points of the trend line or curve. The flood footprint estimation system can use the trend line or curve to perform an iterative water expansion to determine which geographic locations may flood. Results of the iterative water expansion can be provided to a user device in the form of a user interface.

Abstract: Techniques are provided for near real-time anomaly event detection and classification with trend change detection for smart water grid operation management. In the first phase, a trend change is detected in each of one or more sensors by comparing new sensor data of a sensor with a historical trend pattern of the same sensor. In the second phase, and after the trend changes are detected, a valid event evaluation time window can be determined based on combining and analyzing the detected trend changes for flow and pressure sensors, e.g., at least one flow sensor and at least one pressure sensor from the same supply zone of the smart water grid. The valid event evaluation time window can be used with anomaly events that are detected in near-real time to classify the anomaly events in near-real time as valid, e.g., true anomaly events, or invalid, e.g., false alarms.

Abstract: Techniques for simulating fluid flow on a computer that involve a stable entropy solver are described. The techniques include simulating activity of a fluid across a mesh, the activity of the fluid being simulated so as to model movement of particles across the mesh, storing, in a computer accessible memory, a set of state vectors for each mesh location in the mesh, each of the state vectors comprising a plurality of entries that correspond to particular momentum states of possible momentum states at a corresponding mesh location, simulating a time evolution of entropy of the flow by collecting incoming set of distributions from neighboring mesh locations for the collision operation, calculating by the computer scalar values in each location, determining outgoing distributions as a product of the collision operation and addition of a heat source, and modifying the flow by the computer performing for a time interval, an advection of the particles to subsequent mesh locations.

Abstract: The present disclosure refers to a method and a system of sudden water pollutant source detection by forward-inverse coupling, including: building an one-dimensional forward water quality simulation model of a river way according to acquired mechanical parameters and water quality parameters; according to the one-dimensional forward water quality simulation model of the river way, measuring and calculating each monitoring index by using an inverse optimization source-detection model; by constructing the one-dimensional forward water quality simulation model of the river way, using the inverse optimization source-detection model for measurement and calculation; and performing the Bayesian updating, in order to realize multi-information fusion.

Abstract: System and methods for training neural network models for real-time flow simulations are provided. Input data is acquired. The input data includes values for a plurality of input parameters associated with a multiphase fluid flow. The multiphase fluid flow is simulated using a complex fluid dynamics (CFD) model, based on the acquired input data. The CFD model represents a three-dimensional (3D) domain for the simulation. An area of interest is selected within the 3D domain represented by the CFD model. A two-dimensional (2D) mesh of the selected area of interest is generated. The 2D mesh represents results of the simulation for the selected area of interest. A neural network is then trained based on the simulation results represented by the generated 2D mesh.

Abstract: A method for a digital twin federation is provided. The method for a digital twin federation includes: transmitting, by a first digital twin, a connection request including digital twin information for the digital twin federation to a connection broker; receiving, by the first digital twin, connection information of a second digital twin having the digital twin information for the digital twin federation from the connection broker; and performing, by the first digital twin, connection establishment with the second digital twin using connection information of the second digital twin.

Abstract: In order to obtain analysis conditions, there is provided a liquid chromatography data processing device which generates, based on data regarding analysis conditions of a chromatography device and data on separation performance, display data that displays a graph showing correspondence of data regarding analysis conditions of the chromatography device and separation performance, generating a first group of biaxial data regarding the above analysis conditions, second group of biaxial data obtained by calculation comprising multiplication and/or division of two data of the first group of biaxial data, and display data according to a graph showing correspondence of the data regarding separation performance, wherein at least each axis of the first group of biaxial data and the second group of biaxial data is represented as a logarithmic axis.

Abstract: A method for variogram modeling is disclosed. The method includes obtaining a synthetic well data and a well data for facies or petrophysical properties of interest in a targeted reservoir zone, training machine learning models using the synthetic well data as inputs and outputting a plurality of final variogram parameters predicted by using a plurality of machine learning models for the facies or petrophysical properties of interest in the targeted reservoir zone, wherein the well data for the facies or petrophysical properties of interest in the targeted reservoir zone is used as input.

Abstract: A method for optimally simulating fluid flow around a real object by (a) defining an initial state of a simulation space having a plurality of lattices with nodes; determining a space occupation state by objects, a fluid state, and a probability distribution state of a particle for respective nodes; generating a flow effect for the respective nodes using a collision rule which is a probability distribution of the particle with respect to the velocity thereof, obtained by satisfying a condition at which a Tsallis or a Rényi-divergence between the collision rule itself and a reference collision rule provides a simulated fluid flow result; and renewing the initial state and varying the space occupation state based on the simulated fluid flow result; and (b) based on step (a) modeling fluid flow around the real object.

Abstract: A method for training a well model to predict material loss for a pipe string having a wall thickness and located within a borehole. The method may include measuring the wall thickness of a first pipe string at locations axially along the first pipe string with a logging tool at a first time. The method may also include measuring the wall thickness of the first pipe string at the locations with the logging tool at a second time. The method may further include training a first well model based on a machine learning (“ML”) algorithm to predict a predicted amount of material loss in the future for the first pipe string at a selected location using the wall thickness measurements at the first and second times and well operating condition information related to the first pipe string.

Abstract: Disclosed herein are a system, method, and non-transitory computer readable medium for operating an energy plant. In one aspect, a system determines a ratio of flow rates between devices of the energy plant connected in parallel with each other in a branch. The system generates a candidate set of operating parameters of the devices according to the ratio of flow rates. The system predicts thermodynamic states of the devices operating according to the candidate set of operating parameters. The system determines whether the predicted thermodynamic states satisfy constraints of the devices. The system determines whether the predicted thermodynamic states satisfy a target thermal energy load of the branch based on the ratio of the flow rates. The system operates the energy plant according to the candidate set of operating parameters, in response to determining that the predicted thermodynamic states satisfy the constraints and the target thermal energy load.

Abstract: Gas bubble migration can be managed in liquids. In one example, a system can execute wellbore-simulation software to simulate changes in gas dissolution in a liquid over time. This may involve dividing the wellbore into segments spanning from the well surface to the downhole location, each segment spanning a respective depth increment between the well surface and the downhole location. Next, for each time, the system can determine a respective multiphase-flow regime associated with each segment of the plurality of segments based on a simulated pressure level, a simulated temperature, a simulated pipe eccentricity, and a simulated fluid velocity at the segment. The system can also determine how much of the gas is dissolved in the liquid at each segment based on the respective multiphase-flow regime at the segment. The system can display a graphical user interface representing the gas dissolution in the liquid over time.

Abstract: Approaches in accordance with various embodiments provide for fluid simulation with substantially reduced time and memory requirements with respect to conventional approaches. In particular, various embodiments can perform time and energy efficient, large scale fluid simulation on processing hardware using a method that does not solve for the Navier-Stokes equations to enforce incompressibility. Instead, various embodiments generate a density tensor and rigid body map tensor for a large number of particles contained in a sub-domain. Collectively, the density tensor and rigid body map may represent input channels of a network with three spatial-dimensions. The network may apply a series of operations to the input channels to predict an updated position and updated velocity for each particle at the end of a frame. Such approaches can handle tens of millions of particles within a virtually unbounded simulation domain, as compared to classical approaches that solve for the Navier-Stokes equations.

Abstract: Systems and methods presented herein generally relate to greenhouse gas emission monitoring and, more particularly, to a greenhouse gas emission monitoring workflow using various different types of sensors. For example, a system includes a plurality of sensors located within an oil and gas worksite. At least one sensor of the plurality of sensors is configured to detect a status of equipment at the oil and gas worksite. The system also includes a greenhouse gas emission analysis system configured to receive sensor data from the plurality of sensors. The greenhouse gas emission analysis system is also configured to correlate the sensor data from the plurality of sensors (e.g., using one or more reduced order models (ROMs) that reduce the computational complexity of computational fluid dynamics model simulations of previously collected data relating to operation of the oil and gas worksite).

Abstract: Embodiments include methods of identifying a personalized cardiovascular device based on patient-specific geometrical information, the method comprising acquiring a geometric model of at least a portion of a patient's vascular system; obtaining one or more geometric quantities of one or more blood vessels of the geometric model of the patient's vascular system; determining the presence or absence of a pathology characteristic at a location in the geometric model of the patient's vascular system; generating an objective function defined by a plurality of device variables and a plurality of hemodynamic and solid mechanics characteristics; and optimizing the objective function using computational fluid dynamics and structural mechanics analysis to identify a plurality of device variables that result in desired hemodynamic and solid mechanics characteristics.

Abstract: A method is provided for placing sensors in a fluid distribution network by simulating network operating scenarios; by determining candidate sets of sensor positions; by determining the measurements of each sensor in each scenario, and the detection of associated anomalies; by attributing a score to each candidate set of sensor positions, representing the capacity of the sensors placed in the positions of the set to accomplish a mission. Finally, the candidate sets are modified using so-called genetic algorithms until a stop criterion is validated. The genetic algorithms can for example consist in crossing over or mutating candidate sets.

Abstract: A method is described for producing fibre-reinforced plastic moulded parts, wherein endless fibre strands are fed by a fibre braking device and/or cut fibres via a gravimetric metering device, and a plastic material to be melted, by a volumetric metering device are fed to a single-screw plasticizing unit. Plastic material which is molten and is mixed with fibre material is injected into a moulding tool by an injection stroke of the plasticizing screw. According to the application, the ACTUAL mass flow of the plastic material is calculated from the ACTUAL volume flow of the plastic material and from the ACTUAL mass flow of the fibre material. The ACTUAL mass flow of the plastic material is compared to a TARGET mass flow of the plastic material, and the rotation speed nd of the rotary drive of the metering element of the metering device is adapted.

Abstract: A method for optimizing the efficiency and/or the running performance of a fan, wherein, starting from component-specific or function-specific numerical detailed models, on the basis of at least one algorithm, a model reduction and thus data reduction (data refinement) to component-specific or function-specific behavior models takes place, wherein the reduced data of the behavior models are coupled or combined in a system simulation to form a system behavior model having input and output variables, and wherein the input variables and associated output variables of the fan from the system behavior model are provided to an optimizer for selection in order to achieve optimized control of the system depending on framework conditions.

Abstract: Stimulation treatments are designed and performed in a manner that takes into account radial acid flow into the formation. A reservoir core plug is selected and a liner core flow test is performed. The core flow test comprises measuring a flowing fraction, injecting into the core plug a treatment volume of at least one candidate stimulation fluid at an injection rate at reservoir conditions, and measuring an effective reaction rate constant. The linear flow data are then scaled to radial flow. A skin, an acid concentration at a wormhole tip and a fluid velocity at a wormhole tip are calculated. A stimulation treatment is then performed. The method can also be performed on analog cores. The stimulation treatment may be matrix acidizing, fracture acidizing or acidizing natural fractures.

Abstract: An example device includes: a memory storing instructions; and a processor connected to the memory. The instructions are to cause the processor to: receive predetermined locations of a fluidic input location and fluidic output locations at a three-dimensional (3D) object model; generate respective paths between the fluidic input and each of the fluidic outputs via associated portions of the 3D object model; replace the respective paths with respective hollow connectors that have respective fluidic resistance selected such that each of the fluidic outputs have a predetermined flow rate from the fluidic input to the fluid outputs; and store, at the memory, data indicative of locations and dimensions of the respective hollow connectors, relative to the fluidic input and the fluidic outputs, the data for use by a three-dimensional printer to print a part that includes the fluidic input, the fluidic outputs and the respective hollow connectors.

Abstract: A blood vessel detecting apparatus and an image-based blood vessel detecting method are provided. In the method, first to-be-evaluated data is detected through a first detecting model to obtain a first detection result. Second to-be-evaluated data is detected through a second detecting model to obtain a second detection result. The first to-be-evaluated data includes one or more medical images obtained from photographing a blood vessel. The first detection result output by the first detecting model includes one or more pixels in the medical image belonging to the blood vessel. The first detecting model and the second detecting model are constructed based on a machine learning algorithm. The second to-be-evaluated data includes the first detection result. The second detection result output by the second detecting model includes one or more pixels in the medical image belonging to the blood vessel.

Abstract: The present disclosure relates to a method for determination of a real subsoil geological formation. In at least one embodiment, the method includes receiving a model representing the real subsoil, receiving a proportions cube describing geological properties of the model, determining a permeability value for a plurality of locations of the model based on the received proportions cube, determining a gradient of the flow speed based on the permeability value determined for a plurality of locations of the model, and determining a fluvial formation based on the gradient of the flow speed.

Abstract: The present disclosure relates to a method for determination of a real subsoil geological formation. In at least one embodiment, the method includes receiving a model representing the real subsoil, determining a first fluvial geological formation in said model using parametric surfaces, determining a subsequent fluvial geological formation as a deformation of the first fluvial geological formation using parametric surfaces, and subtracting the first fluvial geological formation from the subsequent fluvial geological formation to create a new geological formation named point bar formation.

Abstract: Techniques including methods, apparatus and computer program products are disclosed for determining an amount of hydrocarbon recoverable from porous reservoir rock by a miscible gas flood.

Abstract: A modeling system includes a controller in communication with a memory, the memory including a unit cell defined by a unit cell structure and a control voxel, wherein the unit cell structure is mapped to the control voxel. The controller is configured to: divide a three-dimensional geometry into a plurality of voxels; and populate each voxel with a corresponding unit cell. For each voxel, the corresponding unit cell structure is modified to fit within each voxel according to the mapping of the unit cell structure to the control voxel surfaces by positioning the unit cell structure relative to the voxel surfaces corresponding to the control voxel surfaces of the mapping. At least one of the voxels of the plurality of voxels has a voxel shape that is different than a control voxel shape of the control voxel.

Abstract: Geologic modeling methods and systems disclosed herein employ an improved simulation gridding technique that optimizes simulation efficiency by balancing the computational burdens associated with remeshing against the performance benefits of doing so. One method embodiment includes: (a) obtaining a geologic model representing a subsurface region as a mesh of cells, at least some of the cells in the mesh having one or more interfaces representing boundaries of subsurface structures including at least one fracture; (b) determining a fracture extension to the at least one fracture; (c) evaluating whether the fracture extension is collocated with, or is proximate to, an existing cell interface, and using the existing cell interface if appropriate or creating a new cell interface if not; and (d) outputting the updated version of the geologic model.

Abstract: Methods for interpreting pressure transient tests and predicting future production for a well are provided. In one embodiment, a method for predicting future production includes beginning a pressure transient test within a well at a wellsite and obtaining pressure measurements of well fluid during the pressure transient test. The method can also include using the obtained pressure measurements to determine probabilistic estimates of input parameters of a pressure transient reservoir model while continuing the pressure transient test. Future production from the well can then be estimated based on the probabilistic estimates of the input parameters. Other methods and systems are also disclosed.

Abstract: The invention provides a fluid analysis apparatus, a method for operating a fluid analysis apparatus, and a fluid analysis program that perform display such that the tendency of a fluid flow in a blood vessel is easily checked. Route position information that is capable of identifying an order along a route of the anatomical structure is assigned to each position in the anatomical structure, using three-dimensional volume data in which each voxel has the information of a three-dimensional flow velocity vector indicating a flow velocity of a fluid in an anatomical structure. The three-dimensional flow velocity vector is selected such that the route position information of a position where the three-dimensional flow velocity vector is present is sequentially arranged from one point in the anatomical structure and a trajectory indicating the flow of the fluid is drawn so as to be visibly recognized.

Abstract: Implementations described and claimed herein provide systems and methods for developing a reservoir. In one implementation, a static model of the reservoir is received. The static model has one or more clusters of rock types. A reservoir graph is generated from the static model. The reservoir graph represents each of the one or more clusters as a vertex. A graph connectivity of the reservoir graph is defined through a nodal connectivity of neighboring vertices. Pressure values are propagated across three-dimensional space of the reservoir graph using the connectivity. A dynamic model of the reservoir is generated using the pressure values and fluid saturation values.

Abstract: An industrial CAD system is supplemented with features that allow a developer to easily convert a mechanical CAD model of an automation system to a dynamic digital twin capable of simulation within a simulation platform, including simulation of fluid dynamics throughout the system. The features allow the user to label selected elements of a mechanical CAD drawing with “aspects” within the CAD environment, and to add fluid models representing fluids that travel through or are processed by the system. Based on these aspect labels and fluid models, the CAD platform transforms the mechanical CAD model into a dynamic digital twin that can be exported to a simulation and testing platform to facilitate simulation of both machine operation and fluid dynamics.

Abstract: A flow analysis apparatus is provided. The flow analysis apparatus includes a flow analyzer configured to derive a plurality of output signals by performing flow analysis for a plurality of cells by using a flow analytic model for simulating numerical analysis by Computational Fluid Dynamics (CFD) with respect to a plurality of cells that divide a space around a component, and an analysis optimizer configured to perform optimization for the plurality of output signals.

Abstract: In some implementations, a control system may obtain historical data associated with usage of a distillation column during a historical time period. The control system may configure a prediction model to monitor the distillation column for a hazardous condition. The prediction model may be trained based on training data that is associated with occurrences of the hazardous condition. The control system may monitor, using the prediction model, the distillation column to determine a probability that the distillation column experiences the hazardous condition within a threshold time period. The prediction model may be configured to determine the probability based on measurements from a set of sensors of the distillation column. The control system may perform, based on the probability satisfying a probability threshold, an action associated with the distillation column to reduce a likelihood that the distillation column experiences the hazardous condition within the threshold time period.

Abstract: The present invention relates to a method for acquiring the water leakage amount of a leakage area in a water distribution system. In the method, a hydraulic model is coupled with monitored data, and the water leakage amounts of different areas in the water distribution system are obtained through inversion by optimizing the spatial distribution of water leakage amounts. In addition to the coupling of the hydraulic model with the monitored data, virtual sectorization and pipe leakage risk assessment are used. By using a minimum difference between a simulated value and a monitored value at a pressure measurement point as a target, the water leakage amounts of different areas in the water distribution system are calculated by an optimization algorithm. Compared with the prior art, the present invention actualizes the effective identification of leakage areas in a water distribution system with a high leakage rate (i.e., with many leakage points).

Abstract: An analysis apparatus is provided. The analysis apparatus includes a model deriver configured to generate an analytic model for predicting a result of a numerical analysis performed multiple times iterations for a component by using a plurality of analytic data used for the numerical analysis for the component, and a model analyzer configured to predict the result of the numerical analysis performed multiple times iterations for a design target component by using the analytic model.

Abstract: Techniques for simulating fluid flow using a lattice Boltzmann (LB) approach for solving scalar transport equations and solving for total energy are described. In addition to the lattice Boltzmann functions for fluid flow the techniques include modifying a set of state vectors of the particles by adding specific total energy to states of particles that will be advected and subtracting the specific total energy from states of particles that will not be advected over a time interval and performing advection of the particles according to the modified set of states.

Abstract: Systems and methods are disclosed for estimating reservoir productivity values that maximize reservoir productivity of a refined well design corresponding to a reservoir productivity parameter. A computer-implemented method may use a computer system that includes non-transient electronic storage, a graphical user interface, and one or more physical computer processors. The computer-implemented method may include: obtaining multiple limited production parameter values, obtaining multiple refined well designs, obtaining a productivity algorithm that predicts a reservoir productivity based on a production parameter and a well design, and generating multiple refined reservoir productivity values as a function of position in the subsurface volume of interest by applying the multiple refined well designs and the multiple limited production parameter values to the productivity algorithm.

Abstract: The invention describes a method for predicting or prognosticating the risk of death or vasospasm in a patient with a subarachnoid hemorrhage, which comprises the following steps: performing a clinical assessment of the patient according to the Hunt and Hess scale and the World Federation of Neurosurgeons (WFNS) scale; obtaining a computerised axial tomography image of the patient's skull; normalising the image obtained according to a standard skull template; obtaining a region corresponding to intracranial blood by segmenting the normalised image; calculating at least the following parameters of the region of cranial blood obtained: total volume, fractal dimension and surface-volume ratio; and determining the probability of death or vasospasm in the patient according to at least the parameters calculated.

Abstract: Systems and methods for level set discrete element method particle simulation in accordance with embodiments of the invention are disclosed. In one embodiment, a particle simulation device includes a processor and a memory storing a particle analysis application, wherein the processor, on reading the particle analysis application obtains image data describing a plurality of particles, models a plurality of grains based on the image data, where each modeled grains includes a level set function corresponding to one of the plurality of particles, calculates the motion of each of the plurality of grains based on a force applied to the plurality of grains, and generates a transformed particle model based on the plurality of grains and the calculated motion.

Abstract: A method of stimulating a subterranean formation includes acquiring stimulation treatment input data, simulating a transport of at least one material transport present in a stimulation treatment design with a transport simulator model, determining and preparing the treatment design and performing the stimulating treatment according to the selected treatment design. As recited, simulating includes assuming that for each time stage of the stimulation treatment a velocity field for the at least one material transport and a stimulated flow domain geometry are known and calculating at each time stage the distribution of at least one physical quantity of the at least one material transport using a Lagrangian approach.

Abstract: Systems and methods include a method for locating a leak in a pipeline. Pressure and flowrate measurements are received corresponding to fluid flowing through a pipeline for which a leak is to be located in a pipeline segment. A calculated leak size is determined based pressure and flowrate measurements for upstream and downstream locations. A first assumed leak location is identified. A first assumed leak size is determined. A simulation is executed based on the first assumed leak size, first assumed leak location, and pressure and flowrate measurements, producing a virtually measured leak size. If a difference between the virtually measured and calculated leak size is not within acceptance criteria, a second assumed leak size is iteratively determined, the simulation is re-executed, and the difference is re-determined. A second assumed leak location is iteratively identified, and the simulation is re-executed to determine an estimated leak location of the leak.

Abstract: A flow field having an inflow/outflow interface is set as an analysis region, a fluid in the flow field is handled as an aggregate of a plurality of particles, and simulation is performed by using a molecular dynamics method. Here, a simulation method includes process of maintaining a temperature and a pressure in a heat bath at target values by compensating for changes in the temperature and the pressure in the heat bath with the passage of time in an analysis model in which the heat bath is connected to the inflow/outflow interface of the analysis region, and a particle is allowed to move between the heat bath and the analysis region.

Abstract: A method comprising: simulating, in a lattice velocity set, movement of particles in a volume of fluid, with the movement causing collision among the particles; based on the simulated movement, determining relative particle velocity of a particle at a particular location within the volume, with the relative particle velocity being a difference between (i) an absolute velocity of the particle at the particular location within the volume and measured under zero flow of the volume, and (ii) a mean velocity of one or more of the particles at the particular location within the volume; and determining, based on the relative particle velocity, a non-equilibrium post-collide distribution function of a specified order that is representative of the collision.

Abstract: Embodiments of the present invention provide methods, computer program products, and systems for evaluating expressions. Embodiments of the present invention can be used to receive a set of program instructions to be evaluated in a virtualized environment and determine an evaluation strategy based, at least in part, on an availability of CPU resources. The CPU resource include resources impacted by use of virtual machines and hypervisors. Embodiments of the present invention can, responsive to determining that there are sufficient CPU resources available, evaluate the set of program instructions according to the evaluation strategy using the CPU resources.

Abstract: Simulation of process control environments, including dynamic properties, with a modified first-order Taylor series expansion. By using more linear calculations, a physical dynamic property is approximated in less time and with fewer computing resources. By adjusting the approximation to introduce curvature, a physical dynamic property is represented over a wider range than with basic linear series expansions. A comparison to a basic linear first-order series expansion identifies conditions when a rigorous update of a dynamic property is needed.

Abstract: At least a part of at least one body is coated. At least one processor determines a respective resulting coating layer based on simulating moving the respective body at least partially through a coating fluid of a dipping bath along different trajectories. The at least one processor determines a first trajectory out of the different simulated trajectories fulfilling one or more pre-defined conditions and causes at least one drive component for moving the respective body to move the respective body at least partially through the coating fluid of the dipping bath along the first trajectory.

Abstract: A computer-implemented method is provided for simultaneous simulation of one-dimensional flow and multi-dimensional flow in a fluid flow network. Processes define meshes of nodes for both one-dimensional and multi-dimensional flow components in a fluid flow network. Another process defines a relational data structure for each adjacent node pair in each multi-dimensional flow component. A flow analysis code is executed to model fluid flow throughout the fluid flow network using the one-dimensional and multi-dimensional meshes of nodes, and each relational data structure.

Abstract: Provided is a pipe network evaluation device that is capable of calculating a pressure loss in a pipe network and a consumption flow rate of compressed air in each terminal equipment without inputting layout information on devices, even in a case where there are some devices, the layout information about which is difficult to ascertain visually or obtain from a building drawing, or the like. Provided is a pipe network evaluation device that estimates the resistance of a pipe, the layout information about which is unknown, on the basis of pressure data on compressed air in an air tank, flow rate data on compressed air supplied from the air tank, layout unknown-part pipe outlet pressure data, for which layout information is unknown, and layout known-part pipe layout information, for which layout information is known.