Model Verification and Response Prediction for Frame Structure
碩士 === 國立屏東科技大學 === 機械工程系所 === 97 === This work performs both finite element analysis (FEA) and experimental modal analysis (EMA), respectively, on the frame structure of front suspension. From the validation of structural modal properties between FEA and EMA, the FE model can be verifried and adopt...
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ndltd-TW-097NPUS54890572016-12-22T04:12:46Z http://ndltd.ncl.edu.tw/handle/76113484657426232484 Model Verification and Response Prediction for Frame Structure 口字樑之模型驗證與響應預測分析 HSU FENG-LIU 劉旭峯 碩士 國立屏東科技大學 機械工程系所 97 This work performs both finite element analysis (FEA) and experimental modal analysis (EMA), respectively, on the frame structure of front suspension. From the validation of structural modal properties between FEA and EMA, the FE model can be verifried and adopted for response prediction. This work first applies FEA to determine theoretical modal parameters. By EMA, the frequency response functions (FRFs) are measured and used to obtain experimental modal parameters, including natural frequencies, mode shapes and damping ratios, that are compared with those from FEA to validate the model. The validated equivalent model is then adopted to perform static stiffness analysis for axial, transverse and torsional. The structural response predictions for the frame structure are also carried out for transient, harmonic and spectrum response analyses, according to different loadings due to vehicle running conditions on different road surfaces. The frame structure response can be predicted and studied the vibration and fatigue effects as well as the ride comfort and safty. The integrated CAD/CAE/CAT for virtual testing technique is introduced for the frame structure study, in vibration analysis and fatigue evaluation. This work thus enhances the design procedure for related vibration analysis. Bor-Tsuen Wang 王栢村 2009 學位論文 ; thesis 74 zh-TW |
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碩士 === 國立屏東科技大學 === 機械工程系所 === 97 === This work performs both finite element analysis (FEA) and experimental modal analysis (EMA), respectively, on the frame structure of front suspension. From the validation of structural modal properties between FEA and EMA, the FE model can be verifried and adopted for response prediction. This work first applies FEA to determine theoretical modal parameters. By EMA, the frequency response functions (FRFs) are measured and used to obtain experimental modal parameters, including natural frequencies, mode shapes and damping ratios, that are compared with those from FEA to validate the model. The validated equivalent model is then adopted to perform static stiffness analysis for axial, transverse and torsional. The structural response predictions for the frame structure are also carried out for transient, harmonic and spectrum response analyses, according to different loadings due to vehicle running conditions on different road surfaces. The frame structure response can be predicted and studied the vibration and fatigue effects as well as the ride comfort and safty. The integrated CAD/CAE/CAT for virtual testing technique is introduced for the frame structure study, in vibration analysis and fatigue evaluation. This work thus enhances the design procedure for related vibration analysis.
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author2 |
Bor-Tsuen Wang |
author_facet |
Bor-Tsuen Wang HSU FENG-LIU 劉旭峯 |
author |
HSU FENG-LIU 劉旭峯 |
spellingShingle |
HSU FENG-LIU 劉旭峯 Model Verification and Response Prediction for Frame Structure |
author_sort |
HSU FENG-LIU |
title |
Model Verification and Response Prediction for Frame Structure |
title_short |
Model Verification and Response Prediction for Frame Structure |
title_full |
Model Verification and Response Prediction for Frame Structure |
title_fullStr |
Model Verification and Response Prediction for Frame Structure |
title_full_unstemmed |
Model Verification and Response Prediction for Frame Structure |
title_sort |
model verification and response prediction for frame structure |
publishDate |
2009 |
url |
http://ndltd.ncl.edu.tw/handle/76113484657426232484 |
work_keys_str_mv |
AT hsufengliu modelverificationandresponsepredictionforframestructure AT liúxùfēng modelverificationandresponsepredictionforframestructure AT hsufengliu kǒuzìliángzhīmóxíngyànzhèngyǔxiǎngyīngyùcèfēnxī AT liúxùfēng kǒuzìliángzhīmóxíngyànzhèngyǔxiǎngyīngyùcèfēnxī |
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1718403705574785024 |