A response surface approach for reliability analysis of 2.5D C/SiC composites turbine blade
To evaluate the risk of complex structures such as a 2.5D/SiC composites turbine blade, Response Surface Methodology is applied to investigate the reliability due to its high efficiency. In this paper, the Response Surface is based on Support Vector Machines (SVM), and new sample strategies are prop...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Sun, Zhigang [verfasserIn] |
|---|
| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2016transfer abstract |
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| Schlagwörter: |
C. Finite element analysis (FEA) A. Ceramic–matrix composites (CMCs) |
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| Umfang: |
9 |
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| Übergeordnetes Werk: |
Enthalten in: O46 – 1548 Long term follow-up of clinical and neurographical abnormalities in eight Croatian patients with triple A syndrome - Barisic, N ELSEVIER, 2013, an international journal, Amsterdam [u.a.] |
|---|---|
| Übergeordnetes Werk: |
volume:85 ; year:2016 ; pages:277-285 ; extent:9 |
| Links: |
|---|
| DOI / URN: |
10.1016/j.compositesb.2015.09.025 |
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ELV024804045 |
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| 520 | |a To evaluate the risk of complex structures such as a 2.5D/SiC composites turbine blade, Response Surface Methodology is applied to investigate the reliability due to its high efficiency. In this paper, the Response Surface is based on Support Vector Machines (SVM), and new sample strategies are proposed to assess the failure domain and probability as well as reliability index with less computational cost and higher accuracy. 2.5D/SiC composites are defined by 5 geometric parameters to represent their architecture. Using the finite element method, we establish the structure of 2.5D/SiC composites and predict the mechanical properties with double scale models. The stochastic behaviors of load, material strength and microstructure of 2.5D/SiC composites are considered to analyze the reliability of a turbine blade in an aircraft engine. The methodology in this paper provides an accurate and effective way to value the risk of turbine blade design. | ||
| 520 | |a To evaluate the risk of complex structures such as a 2.5D/SiC composites turbine blade, Response Surface Methodology is applied to investigate the reliability due to its high efficiency. In this paper, the Response Surface is based on Support Vector Machines (SVM), and new sample strategies are proposed to assess the failure domain and probability as well as reliability index with less computational cost and higher accuracy. 2.5D/SiC composites are defined by 5 geometric parameters to represent their architecture. Using the finite element method, we establish the structure of 2.5D/SiC composites and predict the mechanical properties with double scale models. The stochastic behaviors of load, material strength and microstructure of 2.5D/SiC composites are considered to analyze the reliability of a turbine blade in an aircraft engine. The methodology in this paper provides an accurate and effective way to value the risk of turbine blade design. | ||
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10.1016/j.compositesb.2015.09.025 doi GBVA2016019000027.pica (DE-627)ELV024804045 (ELSEVIER)S1359-8368(15)00560-0 DE-627 ger DE-627 rakwb eng 660 660 DE-600 610 VZ 580 540 VZ BIODIV DE-30 fid 42.00 bkl Sun, Zhigang verfasserin aut A response surface approach for reliability analysis of 2.5D C/SiC composites turbine blade 2016transfer abstract 9 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier To evaluate the risk of complex structures such as a 2.5D/SiC composites turbine blade, Response Surface Methodology is applied to investigate the reliability due to its high efficiency. In this paper, the Response Surface is based on Support Vector Machines (SVM), and new sample strategies are proposed to assess the failure domain and probability as well as reliability index with less computational cost and higher accuracy. 2.5D/SiC composites are defined by 5 geometric parameters to represent their architecture. Using the finite element method, we establish the structure of 2.5D/SiC composites and predict the mechanical properties with double scale models. The stochastic behaviors of load, material strength and microstructure of 2.5D/SiC composites are considered to analyze the reliability of a turbine blade in an aircraft engine. The methodology in this paper provides an accurate and effective way to value the risk of turbine blade design. To evaluate the risk of complex structures such as a 2.5D/SiC composites turbine blade, Response Surface Methodology is applied to investigate the reliability due to its high efficiency. In this paper, the Response Surface is based on Support Vector Machines (SVM), and new sample strategies are proposed to assess the failure domain and probability as well as reliability index with less computational cost and higher accuracy. 2.5D/SiC composites are defined by 5 geometric parameters to represent their architecture. Using the finite element method, we establish the structure of 2.5D/SiC composites and predict the mechanical properties with double scale models. The stochastic behaviors of load, material strength and microstructure of 2.5D/SiC composites are considered to analyze the reliability of a turbine blade in an aircraft engine. The methodology in this paper provides an accurate and effective way to value the risk of turbine blade design. B. Mechanical properties Elsevier C. Finite element analysis (FEA) Elsevier A. Ceramic–matrix composites (CMCs) Elsevier C. Statistical properties/methods Elsevier C. Analytical modeling Elsevier Wang, Changxi oth Niu, Xuming oth Song, Yingdong oth Enthalten in Elsevier Barisic, N ELSEVIER O46 – 1548 Long term follow-up of clinical and neurographical abnormalities in eight Croatian patients with triple A syndrome 2013 an international journal Amsterdam [u.a.] (DE-627)ELV011782439 volume:85 year:2016 pages:277-285 extent:9 https://doi.org/10.1016/j.compositesb.2015.09.025 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-BIODIV SSG-OLC-PHA 42.00 Biologie: Allgemeines VZ AR 85 2016 277-285 9 045F 660 |
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10.1016/j.compositesb.2015.09.025 doi GBVA2016019000027.pica (DE-627)ELV024804045 (ELSEVIER)S1359-8368(15)00560-0 DE-627 ger DE-627 rakwb eng 660 660 DE-600 610 VZ 580 540 VZ BIODIV DE-30 fid 42.00 bkl Sun, Zhigang verfasserin aut A response surface approach for reliability analysis of 2.5D C/SiC composites turbine blade 2016transfer abstract 9 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier To evaluate the risk of complex structures such as a 2.5D/SiC composites turbine blade, Response Surface Methodology is applied to investigate the reliability due to its high efficiency. In this paper, the Response Surface is based on Support Vector Machines (SVM), and new sample strategies are proposed to assess the failure domain and probability as well as reliability index with less computational cost and higher accuracy. 2.5D/SiC composites are defined by 5 geometric parameters to represent their architecture. Using the finite element method, we establish the structure of 2.5D/SiC composites and predict the mechanical properties with double scale models. The stochastic behaviors of load, material strength and microstructure of 2.5D/SiC composites are considered to analyze the reliability of a turbine blade in an aircraft engine. The methodology in this paper provides an accurate and effective way to value the risk of turbine blade design. To evaluate the risk of complex structures such as a 2.5D/SiC composites turbine blade, Response Surface Methodology is applied to investigate the reliability due to its high efficiency. In this paper, the Response Surface is based on Support Vector Machines (SVM), and new sample strategies are proposed to assess the failure domain and probability as well as reliability index with less computational cost and higher accuracy. 2.5D/SiC composites are defined by 5 geometric parameters to represent their architecture. Using the finite element method, we establish the structure of 2.5D/SiC composites and predict the mechanical properties with double scale models. The stochastic behaviors of load, material strength and microstructure of 2.5D/SiC composites are considered to analyze the reliability of a turbine blade in an aircraft engine. The methodology in this paper provides an accurate and effective way to value the risk of turbine blade design. B. Mechanical properties Elsevier C. Finite element analysis (FEA) Elsevier A. Ceramic–matrix composites (CMCs) Elsevier C. Statistical properties/methods Elsevier C. Analytical modeling Elsevier Wang, Changxi oth Niu, Xuming oth Song, Yingdong oth Enthalten in Elsevier Barisic, N ELSEVIER O46 – 1548 Long term follow-up of clinical and neurographical abnormalities in eight Croatian patients with triple A syndrome 2013 an international journal Amsterdam [u.a.] (DE-627)ELV011782439 volume:85 year:2016 pages:277-285 extent:9 https://doi.org/10.1016/j.compositesb.2015.09.025 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-BIODIV SSG-OLC-PHA 42.00 Biologie: Allgemeines VZ AR 85 2016 277-285 9 045F 660 |
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10.1016/j.compositesb.2015.09.025 doi GBVA2016019000027.pica (DE-627)ELV024804045 (ELSEVIER)S1359-8368(15)00560-0 DE-627 ger DE-627 rakwb eng 660 660 DE-600 610 VZ 580 540 VZ BIODIV DE-30 fid 42.00 bkl Sun, Zhigang verfasserin aut A response surface approach for reliability analysis of 2.5D C/SiC composites turbine blade 2016transfer abstract 9 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier To evaluate the risk of complex structures such as a 2.5D/SiC composites turbine blade, Response Surface Methodology is applied to investigate the reliability due to its high efficiency. In this paper, the Response Surface is based on Support Vector Machines (SVM), and new sample strategies are proposed to assess the failure domain and probability as well as reliability index with less computational cost and higher accuracy. 2.5D/SiC composites are defined by 5 geometric parameters to represent their architecture. Using the finite element method, we establish the structure of 2.5D/SiC composites and predict the mechanical properties with double scale models. The stochastic behaviors of load, material strength and microstructure of 2.5D/SiC composites are considered to analyze the reliability of a turbine blade in an aircraft engine. The methodology in this paper provides an accurate and effective way to value the risk of turbine blade design. To evaluate the risk of complex structures such as a 2.5D/SiC composites turbine blade, Response Surface Methodology is applied to investigate the reliability due to its high efficiency. In this paper, the Response Surface is based on Support Vector Machines (SVM), and new sample strategies are proposed to assess the failure domain and probability as well as reliability index with less computational cost and higher accuracy. 2.5D/SiC composites are defined by 5 geometric parameters to represent their architecture. Using the finite element method, we establish the structure of 2.5D/SiC composites and predict the mechanical properties with double scale models. The stochastic behaviors of load, material strength and microstructure of 2.5D/SiC composites are considered to analyze the reliability of a turbine blade in an aircraft engine. The methodology in this paper provides an accurate and effective way to value the risk of turbine blade design. B. Mechanical properties Elsevier C. Finite element analysis (FEA) Elsevier A. Ceramic–matrix composites (CMCs) Elsevier C. Statistical properties/methods Elsevier C. Analytical modeling Elsevier Wang, Changxi oth Niu, Xuming oth Song, Yingdong oth Enthalten in Elsevier Barisic, N ELSEVIER O46 – 1548 Long term follow-up of clinical and neurographical abnormalities in eight Croatian patients with triple A syndrome 2013 an international journal Amsterdam [u.a.] (DE-627)ELV011782439 volume:85 year:2016 pages:277-285 extent:9 https://doi.org/10.1016/j.compositesb.2015.09.025 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-BIODIV SSG-OLC-PHA 42.00 Biologie: Allgemeines VZ AR 85 2016 277-285 9 045F 660 |
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10.1016/j.compositesb.2015.09.025 doi GBVA2016019000027.pica (DE-627)ELV024804045 (ELSEVIER)S1359-8368(15)00560-0 DE-627 ger DE-627 rakwb eng 660 660 DE-600 610 VZ 580 540 VZ BIODIV DE-30 fid 42.00 bkl Sun, Zhigang verfasserin aut A response surface approach for reliability analysis of 2.5D C/SiC composites turbine blade 2016transfer abstract 9 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier To evaluate the risk of complex structures such as a 2.5D/SiC composites turbine blade, Response Surface Methodology is applied to investigate the reliability due to its high efficiency. In this paper, the Response Surface is based on Support Vector Machines (SVM), and new sample strategies are proposed to assess the failure domain and probability as well as reliability index with less computational cost and higher accuracy. 2.5D/SiC composites are defined by 5 geometric parameters to represent their architecture. Using the finite element method, we establish the structure of 2.5D/SiC composites and predict the mechanical properties with double scale models. The stochastic behaviors of load, material strength and microstructure of 2.5D/SiC composites are considered to analyze the reliability of a turbine blade in an aircraft engine. The methodology in this paper provides an accurate and effective way to value the risk of turbine blade design. To evaluate the risk of complex structures such as a 2.5D/SiC composites turbine blade, Response Surface Methodology is applied to investigate the reliability due to its high efficiency. In this paper, the Response Surface is based on Support Vector Machines (SVM), and new sample strategies are proposed to assess the failure domain and probability as well as reliability index with less computational cost and higher accuracy. 2.5D/SiC composites are defined by 5 geometric parameters to represent their architecture. Using the finite element method, we establish the structure of 2.5D/SiC composites and predict the mechanical properties with double scale models. The stochastic behaviors of load, material strength and microstructure of 2.5D/SiC composites are considered to analyze the reliability of a turbine blade in an aircraft engine. The methodology in this paper provides an accurate and effective way to value the risk of turbine blade design. B. Mechanical properties Elsevier C. Finite element analysis (FEA) Elsevier A. Ceramic–matrix composites (CMCs) Elsevier C. Statistical properties/methods Elsevier C. Analytical modeling Elsevier Wang, Changxi oth Niu, Xuming oth Song, Yingdong oth Enthalten in Elsevier Barisic, N ELSEVIER O46 – 1548 Long term follow-up of clinical and neurographical abnormalities in eight Croatian patients with triple A syndrome 2013 an international journal Amsterdam [u.a.] (DE-627)ELV011782439 volume:85 year:2016 pages:277-285 extent:9 https://doi.org/10.1016/j.compositesb.2015.09.025 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-BIODIV SSG-OLC-PHA 42.00 Biologie: Allgemeines VZ AR 85 2016 277-285 9 045F 660 |
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10.1016/j.compositesb.2015.09.025 doi GBVA2016019000027.pica (DE-627)ELV024804045 (ELSEVIER)S1359-8368(15)00560-0 DE-627 ger DE-627 rakwb eng 660 660 DE-600 610 VZ 580 540 VZ BIODIV DE-30 fid 42.00 bkl Sun, Zhigang verfasserin aut A response surface approach for reliability analysis of 2.5D C/SiC composites turbine blade 2016transfer abstract 9 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier To evaluate the risk of complex structures such as a 2.5D/SiC composites turbine blade, Response Surface Methodology is applied to investigate the reliability due to its high efficiency. In this paper, the Response Surface is based on Support Vector Machines (SVM), and new sample strategies are proposed to assess the failure domain and probability as well as reliability index with less computational cost and higher accuracy. 2.5D/SiC composites are defined by 5 geometric parameters to represent their architecture. Using the finite element method, we establish the structure of 2.5D/SiC composites and predict the mechanical properties with double scale models. The stochastic behaviors of load, material strength and microstructure of 2.5D/SiC composites are considered to analyze the reliability of a turbine blade in an aircraft engine. The methodology in this paper provides an accurate and effective way to value the risk of turbine blade design. To evaluate the risk of complex structures such as a 2.5D/SiC composites turbine blade, Response Surface Methodology is applied to investigate the reliability due to its high efficiency. In this paper, the Response Surface is based on Support Vector Machines (SVM), and new sample strategies are proposed to assess the failure domain and probability as well as reliability index with less computational cost and higher accuracy. 2.5D/SiC composites are defined by 5 geometric parameters to represent their architecture. Using the finite element method, we establish the structure of 2.5D/SiC composites and predict the mechanical properties with double scale models. The stochastic behaviors of load, material strength and microstructure of 2.5D/SiC composites are considered to analyze the reliability of a turbine blade in an aircraft engine. The methodology in this paper provides an accurate and effective way to value the risk of turbine blade design. B. Mechanical properties Elsevier C. Finite element analysis (FEA) Elsevier A. Ceramic–matrix composites (CMCs) Elsevier C. Statistical properties/methods Elsevier C. Analytical modeling Elsevier Wang, Changxi oth Niu, Xuming oth Song, Yingdong oth Enthalten in Elsevier Barisic, N ELSEVIER O46 – 1548 Long term follow-up of clinical and neurographical abnormalities in eight Croatian patients with triple A syndrome 2013 an international journal Amsterdam [u.a.] (DE-627)ELV011782439 volume:85 year:2016 pages:277-285 extent:9 https://doi.org/10.1016/j.compositesb.2015.09.025 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-BIODIV SSG-OLC-PHA 42.00 Biologie: Allgemeines VZ AR 85 2016 277-285 9 045F 660 |
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Enthalten in O46 – 1548 Long term follow-up of clinical and neurographical abnormalities in eight Croatian patients with triple A syndrome Amsterdam [u.a.] volume:85 year:2016 pages:277-285 extent:9 |
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Enthalten in O46 – 1548 Long term follow-up of clinical and neurographical abnormalities in eight Croatian patients with triple A syndrome Amsterdam [u.a.] volume:85 year:2016 pages:277-285 extent:9 |
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O46 – 1548 Long term follow-up of clinical and neurographical abnormalities in eight Croatian patients with triple A syndrome |
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Sun, Zhigang @@aut@@ Wang, Changxi @@oth@@ Niu, Xuming @@oth@@ Song, Yingdong @@oth@@ |
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A response surface approach for reliability analysis of 2.5D C/SiC composites turbine blade |
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To evaluate the risk of complex structures such as a 2.5D/SiC composites turbine blade, Response Surface Methodology is applied to investigate the reliability due to its high efficiency. In this paper, the Response Surface is based on Support Vector Machines (SVM), and new sample strategies are proposed to assess the failure domain and probability as well as reliability index with less computational cost and higher accuracy. 2.5D/SiC composites are defined by 5 geometric parameters to represent their architecture. Using the finite element method, we establish the structure of 2.5D/SiC composites and predict the mechanical properties with double scale models. The stochastic behaviors of load, material strength and microstructure of 2.5D/SiC composites are considered to analyze the reliability of a turbine blade in an aircraft engine. The methodology in this paper provides an accurate and effective way to value the risk of turbine blade design. |
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To evaluate the risk of complex structures such as a 2.5D/SiC composites turbine blade, Response Surface Methodology is applied to investigate the reliability due to its high efficiency. In this paper, the Response Surface is based on Support Vector Machines (SVM), and new sample strategies are proposed to assess the failure domain and probability as well as reliability index with less computational cost and higher accuracy. 2.5D/SiC composites are defined by 5 geometric parameters to represent their architecture. Using the finite element method, we establish the structure of 2.5D/SiC composites and predict the mechanical properties with double scale models. The stochastic behaviors of load, material strength and microstructure of 2.5D/SiC composites are considered to analyze the reliability of a turbine blade in an aircraft engine. The methodology in this paper provides an accurate and effective way to value the risk of turbine blade design. |
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To evaluate the risk of complex structures such as a 2.5D/SiC composites turbine blade, Response Surface Methodology is applied to investigate the reliability due to its high efficiency. In this paper, the Response Surface is based on Support Vector Machines (SVM), and new sample strategies are proposed to assess the failure domain and probability as well as reliability index with less computational cost and higher accuracy. 2.5D/SiC composites are defined by 5 geometric parameters to represent their architecture. Using the finite element method, we establish the structure of 2.5D/SiC composites and predict the mechanical properties with double scale models. The stochastic behaviors of load, material strength and microstructure of 2.5D/SiC composites are considered to analyze the reliability of a turbine blade in an aircraft engine. The methodology in this paper provides an accurate and effective way to value the risk of turbine blade design. |
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