Comprehensive Method for Obtaining Multi-Fidelity Surrogate Models for Design Space Approximation: Application to Multi-Dimensional Simulations of Condensation Due to Mixing Streams
In engineering problems, design space approximation using accurate computational models may require conducting a simulation for each explored working point, which is often not feasible in computational terms. For problems with numerous parameters and computationally demanding simulations, the possib...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-05-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/13/11/6361 |
| _version_ | 1797597946256031744 |
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| author | José Galindo Roberto Navarro Francisco Moya Andrea Conchado |
| author_facet | José Galindo Roberto Navarro Francisco Moya Andrea Conchado |
| author_sort | José Galindo |
| collection | DOAJ |
| description | In engineering problems, design space approximation using accurate computational models may require conducting a simulation for each explored working point, which is often not feasible in computational terms. For problems with numerous parameters and computationally demanding simulations, the possibility of resorting to multi-fidelity surrogates arises as a means to alleviate the effort by employing a reduced number of high-fidelity and expensive simulations and predicting a much cheaper low-fidelity model. A multi-fidelity approach for design space approximation is therefore proposed, requiring two different designs of experiments to assess the best combination of surrogate models and an intermediate meta-modeled variable. The strategy is applied to the prediction of condensation that occurs when two humid air streams are mixed in a three-way junction, which occurs when using low-pressure exhaust gas recirculation to reduce piston engine emissions. In this particular case, most of the assessed combinations of surrogate and intermediate variables provide a good agreement between observed and predicted values, resulting in the lowest normalized mean absolute error (3.4%) by constructing a polynomial response surface using a multi-fidelity additive scaling variable that calculates the difference between the low-fidelity and high-fidelity predictions of the condensation mass flow rate. |
| first_indexed | 2024-03-11T03:12:27Z |
| format | Article |
| id | doaj.art-6968a4da255641849285de3b3ad78c0c |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-11T03:12:27Z |
| publishDate | 2023-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-6968a4da255641849285de3b3ad78c0c2023-11-18T07:31:08ZengMDPI AGApplied Sciences2076-34172023-05-011311636110.3390/app13116361Comprehensive Method for Obtaining Multi-Fidelity Surrogate Models for Design Space Approximation: Application to Multi-Dimensional Simulations of Condensation Due to Mixing StreamsJosé Galindo0Roberto Navarro1Francisco Moya2Andrea Conchado3CMT-Motores Térmicos, Universitat Politècnica de València, 46022 Valencia, SpainCMT-Motores Térmicos, Universitat Politècnica de València, 46022 Valencia, SpainCMT-Motores Térmicos, Universitat Politècnica de València, 46022 Valencia, SpainCenter for Quality and Change Management, Universitat Politècnica de València, 46022 Valencia, SpainIn engineering problems, design space approximation using accurate computational models may require conducting a simulation for each explored working point, which is often not feasible in computational terms. For problems with numerous parameters and computationally demanding simulations, the possibility of resorting to multi-fidelity surrogates arises as a means to alleviate the effort by employing a reduced number of high-fidelity and expensive simulations and predicting a much cheaper low-fidelity model. A multi-fidelity approach for design space approximation is therefore proposed, requiring two different designs of experiments to assess the best combination of surrogate models and an intermediate meta-modeled variable. The strategy is applied to the prediction of condensation that occurs when two humid air streams are mixed in a three-way junction, which occurs when using low-pressure exhaust gas recirculation to reduce piston engine emissions. In this particular case, most of the assessed combinations of surrogate and intermediate variables provide a good agreement between observed and predicted values, resulting in the lowest normalized mean absolute error (3.4%) by constructing a polynomial response surface using a multi-fidelity additive scaling variable that calculates the difference between the low-fidelity and high-fidelity predictions of the condensation mass flow rate.https://www.mdpi.com/2076-3417/13/11/6361surrogate modelingmulti-fidelity simulationsdesign of experimentsdesign space explorationcondensation |
| spellingShingle | José Galindo Roberto Navarro Francisco Moya Andrea Conchado Comprehensive Method for Obtaining Multi-Fidelity Surrogate Models for Design Space Approximation: Application to Multi-Dimensional Simulations of Condensation Due to Mixing Streams Applied Sciences surrogate modeling multi-fidelity simulations design of experiments design space exploration condensation |
| title | Comprehensive Method for Obtaining Multi-Fidelity Surrogate Models for Design Space Approximation: Application to Multi-Dimensional Simulations of Condensation Due to Mixing Streams |
| title_full | Comprehensive Method for Obtaining Multi-Fidelity Surrogate Models for Design Space Approximation: Application to Multi-Dimensional Simulations of Condensation Due to Mixing Streams |
| title_fullStr | Comprehensive Method for Obtaining Multi-Fidelity Surrogate Models for Design Space Approximation: Application to Multi-Dimensional Simulations of Condensation Due to Mixing Streams |
| title_full_unstemmed | Comprehensive Method for Obtaining Multi-Fidelity Surrogate Models for Design Space Approximation: Application to Multi-Dimensional Simulations of Condensation Due to Mixing Streams |
| title_short | Comprehensive Method for Obtaining Multi-Fidelity Surrogate Models for Design Space Approximation: Application to Multi-Dimensional Simulations of Condensation Due to Mixing Streams |
| title_sort | comprehensive method for obtaining multi fidelity surrogate models for design space approximation application to multi dimensional simulations of condensation due to mixing streams |
| topic | surrogate modeling multi-fidelity simulations design of experiments design space exploration condensation |
| url | https://www.mdpi.com/2076-3417/13/11/6361 |
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