Design Exploration and Optimization of a Multi-Corner Crash Box under Axial Loading via Gaussian Process Regression
Crash box is the most commonly used energy-absorbing systems for increasing transportation safety. Based on this system, design optimization of crash box is important to meeting safety standards with high performance. Therefore, this study aimed to propose a crucial crash box design featuring a 20-c...
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| Format: | Article |
| Language: | English |
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Universitas Indonesia
2024-12-01
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| Series: | International Journal of Technology |
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| Online Access: | https://ijtech.eng.ui.ac.id/article/view/7278 |
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| _version_ | 1846100607619825664 |
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| author | Annisa Jusuf Maulana Hayu Jarwadi Dhimaz Galang Hastungkorojati Leonardo Gunawan Mahesa Akbar Kemas Zakaria Muhammad Faiz Izzaturrahman Pramudita Satria Palar |
| author_facet | Annisa Jusuf Maulana Hayu Jarwadi Dhimaz Galang Hastungkorojati Leonardo Gunawan Mahesa Akbar Kemas Zakaria Muhammad Faiz Izzaturrahman Pramudita Satria Palar |
| author_sort | Annisa Jusuf |
| collection | DOAJ |
| description | Crash box is the most commonly used energy-absorbing systems for increasing transportation safety. Based on this system, design optimization of crash box is important to meeting safety standards with high performance. Therefore, this study aimed to propose a crucial crash box design featuring a 20-corner structure. This new design was expected to increase the number of folds and reduce the size upon impact, which can further elevate specific energy absorption (SEA). In addition, the study implemented a Gaussian Process Regression (GPR) surrogate model for the first time to optimize the multi-corner crash box design. This method reduced the computational cost of the design optimization process while effectively handling complex configurations. The optimization also focused on dimensional parameters such as thickness and perimeter. An explicit nonlinear finite element method was used for axial loading analysis to assess the crash impact performance. The computational results showed good agreement with experimental data where the performance of the 20-corner structure design was compared with other shapes including square, circular, and 12-corner designs. The results showed that the 20-corner structure design provided the most optimum SEA and Crushing Force Efficiency (CFE). Furthermore, the optimized 20-corner design via GPR-model led to a further performance increment with an increase of 8-9% higher SEA and CFE. The following main conclusions can be drawn (i) the cross-sectional geometry significantly influenced crashworthiness performance with the MC20 configuration achieving the best Pm, CFE, and SEA values compared to other configurations. Therefore, the study concluded that the MC20 configuration was the most efficient among the other configurations; (ii) GPR proved advantageous in the optimization process, offering flexibility for complex nonlinear functions, reducing computational costs, and providing error predictions to further refine the optimization model; and (iii) optimization of the MC20 configuration using the GPR surrogate model focused on a single objective which was to maximizing Pm. |
| format | Article |
| id | doaj-art-5ea8c7f4de0f4a728531ac9340a8cc3a |
| institution | Kabale University |
| issn | 2086-9614 2087-2100 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Universitas Indonesia |
| record_format | Article |
| series | International Journal of Technology |
| spelling | doaj-art-5ea8c7f4de0f4a728531ac9340a8cc3a2024-12-30T01:56:46ZengUniversitas IndonesiaInternational Journal of Technology2086-96142087-21002024-12-011561749177010.14716/ijtech.v15i6.72787278Design Exploration and Optimization of a Multi-Corner Crash Box under Axial Loading via Gaussian Process RegressionAnnisa Jusuf0Maulana Hayu Jarwadi1Dhimaz Galang Hastungkorojati2Leonardo Gunawan3Mahesa Akbar4Kemas Zakaria5Muhammad Faiz Izzaturrahman6Pramudita Satria Palar7Mechanics of Solids and Lightweight Structures Research Group, Faculty of Mechanical and Aerospace Engineering, Institut Teknologi Bandung, Bandung 40132, IndonesiaMaster Program of Aerospace Engineering, Institut Teknologi Bandung, Bandung 40132, IndonesiaMaster Program of Aerospace Engineering, Institut Teknologi Bandung, Bandung 40132, IndonesiaDynamics and Control Research Group, Faculty of Mechanical and Aerospace Engineering, Institut Teknologi Bandung, Bandung 40132, IndonesiaCollege of Business, Technology, and Engineering, Sheffield Hallam University, Sheffield S1 1WB, United KingdomMaster Program of Aerospace Engineering, Institut Teknologi Bandung, Bandung 40132, IndonesiaMaster Program of Aerospace Engineering, Institut Teknologi Bandung, Bandung 40132, IndonesiaFluid Dynamics and Propulsion Research Group, Faculty of Mechanical and Aerospace Engineering, Institut Teknologi Bandung, Bandung 40132, IndonesiaCrash box is the most commonly used energy-absorbing systems for increasing transportation safety. Based on this system, design optimization of crash box is important to meeting safety standards with high performance. Therefore, this study aimed to propose a crucial crash box design featuring a 20-corner structure. This new design was expected to increase the number of folds and reduce the size upon impact, which can further elevate specific energy absorption (SEA). In addition, the study implemented a Gaussian Process Regression (GPR) surrogate model for the first time to optimize the multi-corner crash box design. This method reduced the computational cost of the design optimization process while effectively handling complex configurations. The optimization also focused on dimensional parameters such as thickness and perimeter. An explicit nonlinear finite element method was used for axial loading analysis to assess the crash impact performance. The computational results showed good agreement with experimental data where the performance of the 20-corner structure design was compared with other shapes including square, circular, and 12-corner designs. The results showed that the 20-corner structure design provided the most optimum SEA and Crushing Force Efficiency (CFE). Furthermore, the optimized 20-corner design via GPR-model led to a further performance increment with an increase of 8-9% higher SEA and CFE. The following main conclusions can be drawn (i) the cross-sectional geometry significantly influenced crashworthiness performance with the MC20 configuration achieving the best Pm, CFE, and SEA values compared to other configurations. Therefore, the study concluded that the MC20 configuration was the most efficient among the other configurations; (ii) GPR proved advantageous in the optimization process, offering flexibility for complex nonlinear functions, reducing computational costs, and providing error predictions to further refine the optimization model; and (iii) optimization of the MC20 configuration using the GPR surrogate model focused on a single objective which was to maximizing Pm.https://ijtech.eng.ui.ac.id/article/view/7278crashworthinesscrash boxdesign optimizationgaussian process regressionmulti corner |
| spellingShingle | Annisa Jusuf Maulana Hayu Jarwadi Dhimaz Galang Hastungkorojati Leonardo Gunawan Mahesa Akbar Kemas Zakaria Muhammad Faiz Izzaturrahman Pramudita Satria Palar Design Exploration and Optimization of a Multi-Corner Crash Box under Axial Loading via Gaussian Process Regression International Journal of Technology crashworthiness crash box design optimization gaussian process regression multi corner |
| title | Design Exploration and Optimization of a Multi-Corner Crash Box under Axial Loading via Gaussian Process Regression |
| title_full | Design Exploration and Optimization of a Multi-Corner Crash Box under Axial Loading via Gaussian Process Regression |
| title_fullStr | Design Exploration and Optimization of a Multi-Corner Crash Box under Axial Loading via Gaussian Process Regression |
| title_full_unstemmed | Design Exploration and Optimization of a Multi-Corner Crash Box under Axial Loading via Gaussian Process Regression |
| title_short | Design Exploration and Optimization of a Multi-Corner Crash Box under Axial Loading via Gaussian Process Regression |
| title_sort | design exploration and optimization of a multi corner crash box under axial loading via gaussian process regression |
| topic | crashworthiness crash box design optimization gaussian process regression multi corner |
| url | https://ijtech.eng.ui.ac.id/article/view/7278 |
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