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Showing 1 to 20 of 25 for “"response surface model"”.
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A response surface model of the air quality impacts of aviation
… Within APMT, there is a desire for faster models that can analyze multiple policy scenarios for decades into the future in order to inform policy decisions on a reasonable time scale. One particular need is that for a fast surrogate air quality model that relates changes in aviation …
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Design optimization of aerodynamic drag at the rear of generic passenger cars using nurbs representation
… the rear body of a generic passenger car model (the Ahmed Body) and the NURBS parameters were employed for geometry parameterization. These geometry parameters were systematically modified using design of experiments to obtain different geometries of the simplified car model. The …
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Variable-Complexity Response Surface Approximations For Wing Structural Weight in HSCT Design
… High Speed Civil Transport (HSCT) is presented. Response surface methodology is used to fit a quadratic polynomial to data gathered from a series of structural optimizations. Several techniques are employed in order to minimize the number of required structural optimizations and to maintain …
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Variable-Complexity Approximations for Aerodynamic Parameters in Hsct Optimization
… and performance design is presented. Response surface model methodology is used to fit quadratic polynomials to data gathered from a series of numerical analyses of different HSCT designs. Several techniques are employed to minimize the number of required analyses and to maintain …
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Development of Approximations for HSCT Wing Bending Material Weight using Response Surface Methodology
… is based on HSCT configuration parameters. A response surface methodology is used to fit a quadratic polynomial to data gathered from a large number of structural optimizations. To reduce the time of performing a large number of structural optimizations, coarse-grained parallelization with a …
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Quality improvement and control based on defect reduction
… Analyze, Improve, and Control (DMAIC), and Response Surface Model were introduced to reduce the defect rate and control the process. As a result, critical inputs were identified, and a statistical regression model was constructed to predict the flaw size by knowing the critical inputs of the …
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Influence of Trimaran Geometric Parameters on Intact and Damaged Ship Stability
… Next, a series of trimaran configurations are modeled in CAD with subdivision to determine their allowable KG according to USN deterministic criteria and using quasi-static methods. A response surface model was determined for allowable KG as a function of center hull length to beam, side hull …
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Design Optimization Procedure for Monocoque Composite Cylinder Structures Using Response Surface Techniques
… for a minimum buckling load constraint. A response surface, spanning the design space, is generated from a set of design points and corresponding buckling load data. This response surface is incorporated into a genetic algorithm for optimization of composite cylinders. Laminate designs are …
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Requirements for digestible calcium by growing pigs
… defatted femurs. Data were analyzed using the response surface model in NLREG. Results indicated that there were interactions (P < 0.10) between Ca and P for final BW, ADG, G:F, and bone ash. The predicted maximum final BW, ADG and bone ash at 0.27% STTD P was obtained at STTD Ca:STTD P ratios …
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The impacts of aviation emissions on human health through changes in air quality and UV irradiance
… human health must be considered. Two different models were developed as tools to assess the impacts of aircraft emissions on human health. The first model estimates the changes in skin cancer incidences and mortalities due to changes in ozone column caused by aircraft NO, emissions. The second …
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Tools for Multi-Objective and Multi-Disciplinary Optimization in Naval Ship Design
… An Overall Measure of Effectiveness (OMOE) model or function is an essential prerequisite for optimization and design trade-off. This effectiveness can be limited to individual ship missions or extend to missions within a task group or larger context. A method is presented that uses the …
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Modelling the behaviour of Listeria monocytogenes in cheese
… was studied given a milk contamination or surface cross-contamination scenario. When milk was contaminated, L. monocytogenes initiated growth with a different probability during cheesemaking compared to milk or laboratory media, indicating that models built from laboratory media would not …
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Determination of capillary electrophoretic methodology and its application as a mechanistic tool for gaining insight into the composition of, and detergent action on, coloured macromolecule fabric stains.
… experimental design leading to calculation of a response surface model of the system under study. The knowledge gained from the early work is then used to develop methodology for the analysis of large organic molecules, including dyes and natural pigments. An advanced CE technique (Micellar …
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A Response Surface Exit Crown Model Built from the Finite Element Analysis of a Hot-Rolling Mill
… and four dependent variables are used to build a response surface to calculate strip crown using the difference in the industry standard strip height measurements. The single element response surface in use provides the advantages of continuous derivatives and decouples rolling load from the …
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Hybrid Dynamic Modelling of Engine Emissions on Multi-Physics Simulation Platform. A Framework Combining Dynamic and Statistical Modelling to Develop Surrogate Models of System of Internal Combustion Engine for Emission Modelling
The data-driven models used for the design of powertrain controllers are typically based on the data obtained from steady-state experiments. However, they are only valid under stable conditions and do not provide any information on the dynamic behaviour of the system. In order to capture this …
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Hybrid Dynamic Modelling of Engine Emissions on Multi-Physics Simulation Platform. A Framework Combining Dynamic and Statistical Modelling to Develop Surrogate Models of System of Internal Combustion Engine for Emission Modelling
The data-driven models used for the design of powertrain controllers are typically based on the data obtained from steady-state experiments. However, they are only valid under stable conditions and do not provide any information on the dynamic behaviour of the system. In order to capture this …
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Estimating the environmental benefits of aviation fuel and emissions reductions
… a unit of fuel is estimated using an air quality response surface model. Second, a simplified probabilistic impulse response function model for climate is employed to derive a non-CO₂/CO₂ impact ratio that can be multiplied by a social cost of carbon to estimate the additional benefits of fuel bum …
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The air quality impact of aviation in future-year emissions scenarios
… on the current policy analysis tool, the response surface model (RSMv2), is discussed. Aviation emissions for 2006 are generated using the Aviation Environmental Design Tool (AEDT), while future-year aviation emissions are developed for 2020 and 2030 using the Federal Aviation …
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Structural Optimization of Bell Crank using Adaptive Response Surface Optimization
… with large and complex finite element (FE) models, utilizing statistical concepts. A potential avenue explored in this study is the adaptive response surface optimization process. The adaptive response surface optimization method involves the adaptive control of samples selected through the …
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Manning and Automation Model for Naval Ship Analysis and Optimization
… level of automation. The output of the manning model is the number of crew required to accomplish a given mission for a particular selection of systems, maintenance and automation. Task network analysis programs are ideal for this problem. They can manage the probabilistic nature of a military …
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