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Measurement quality and uncertainty evaluation in civil engineering research
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| Zeitschriftentitel: | International Journal of Metrology and Quality Engineering |
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| Personen und Körperschaften: | , , , , , |
| In: | International Journal of Metrology and Quality Engineering, 4, 2013, 2, S. 127-134 |
| Format: | E-Article |
| Sprache: | Unbestimmt |
| veröffentlicht: |
EDP Sciences
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Silva Ribeiro, A. Alves e Sousa, J. Oliveira Costa, C. Vieira de Sousa, J.F. Almeida Garrett, J. Lages Martins, L. Silva Ribeiro, A. Alves e Sousa, J. Oliveira Costa, C. Vieira de Sousa, J.F. Almeida Garrett, J. Lages Martins, L. |
|---|---|
| author |
Silva Ribeiro, A. Alves e Sousa, J. Oliveira Costa, C. Vieira de Sousa, J.F. Almeida Garrett, J. Lages Martins, L. |
| spellingShingle |
Silva Ribeiro, A. Alves e Sousa, J. Oliveira Costa, C. Vieira de Sousa, J.F. Almeida Garrett, J. Lages Martins, L. International Journal of Metrology and Quality Engineering Measurement quality and uncertainty evaluation in civil engineering research Safety, Risk, Reliability and Quality |
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silva ribeiro, a. |
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Silva Ribeiro, A. Alves e Sousa, J. Oliveira Costa, C. Vieira de Sousa, J.F. Almeida Garrett, J. Lages Martins, L. 2107-6839 2107-6847 EDP Sciences Safety, Risk, Reliability and Quality http://dx.doi.org/10.1051/ijmqe/2013043 <jats:p>Civil engineering is a branch of science that covers a broad range of areas where experimental procedures often plays an important role. The research in this field is usually supported by experimental structures able to test physical and mathematical models and to provide measurement results with acceptable accuracy. To assure measurement quality, a metrology probabilistic approach can provide valuable mathematical and computational tools especially suited to the study, evaluation and improvement of measurement processes in its different components (modeling, instrumentation performance, data processing, data validation and traceability), emphasizing measurement uncertainty evaluation as a tool to the analysis of results and to promote the quality and capacity associated with decision-making. This paper presents some of the research held by the metrology division of the Portuguese civil engineering research institutes, focused on the contribution of measurement uncertainty studies to a variety of frameworks, such as testing for metrological characterization and physical and mathematical modeling. Experimental data will be used to illustrate practical cases. </jats:p> Measurement quality and uncertainty evaluation in civil engineering research International Journal of Metrology and Quality Engineering |
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| title |
Measurement quality and uncertainty evaluation in civil engineering research |
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Measurement quality and uncertainty evaluation in civil engineering research |
| title_full |
Measurement quality and uncertainty evaluation in civil engineering research |
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Measurement quality and uncertainty evaluation in civil engineering research |
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Measurement quality and uncertainty evaluation in civil engineering research |
| title_short |
Measurement quality and uncertainty evaluation in civil engineering research |
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measurement quality and uncertainty evaluation in civil engineering research |
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Safety, Risk, Reliability and Quality |
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http://dx.doi.org/10.1051/ijmqe/2013043 |
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2013 |
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127-134 |
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<jats:p>Civil engineering is a branch of science that covers a broad range of areas where experimental procedures often plays an important role. The research in this field is usually supported by experimental structures able to test physical and mathematical models and to provide measurement results with acceptable accuracy. To assure measurement quality, a metrology probabilistic approach can provide valuable mathematical and computational tools especially suited to the study, evaluation and improvement of measurement processes in its different components (modeling, instrumentation performance, data processing, data validation and traceability), emphasizing measurement uncertainty evaluation as a tool to the analysis of results and to promote the quality and capacity associated with decision-making. This paper presents some of the research held by the metrology division of the Portuguese civil engineering research institutes, focused on the contribution of measurement uncertainty studies to a variety of frameworks, such as testing for metrological characterization and physical and mathematical modeling. Experimental data will be used to illustrate practical cases. </jats:p> |
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| author_facet | Silva Ribeiro, A., Alves e Sousa, J., Oliveira Costa, C., Vieira de Sousa, J.F., Almeida Garrett, J., Lages Martins, L., Silva Ribeiro, A., Alves e Sousa, J., Oliveira Costa, C., Vieira de Sousa, J.F., Almeida Garrett, J., Lages Martins, L. |
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| description | <jats:p>Civil engineering is a branch of science that covers a broad range of areas where experimental procedures often plays an important role. The research in this field is usually supported by experimental structures able to test physical and mathematical models and to provide measurement results with acceptable accuracy. To assure measurement quality, a metrology probabilistic approach can provide valuable mathematical and computational tools especially suited to the study, evaluation and improvement of measurement processes in its different components (modeling, instrumentation performance, data processing, data validation and traceability), emphasizing measurement uncertainty evaluation as a tool to the analysis of results and to promote the quality and capacity associated with decision-making. This paper presents some of the research held by the metrology division of the Portuguese civil engineering research institutes, focused on the contribution of measurement uncertainty studies to a variety of frameworks, such as testing for metrological characterization and physical and mathematical modeling. Experimental data will be used to illustrate practical cases. </jats:p> |
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| spelling | Silva Ribeiro, A. Alves e Sousa, J. Oliveira Costa, C. Vieira de Sousa, J.F. Almeida Garrett, J. Lages Martins, L. 2107-6839 2107-6847 EDP Sciences Safety, Risk, Reliability and Quality http://dx.doi.org/10.1051/ijmqe/2013043 <jats:p>Civil engineering is a branch of science that covers a broad range of areas where experimental procedures often plays an important role. The research in this field is usually supported by experimental structures able to test physical and mathematical models and to provide measurement results with acceptable accuracy. To assure measurement quality, a metrology probabilistic approach can provide valuable mathematical and computational tools especially suited to the study, evaluation and improvement of measurement processes in its different components (modeling, instrumentation performance, data processing, data validation and traceability), emphasizing measurement uncertainty evaluation as a tool to the analysis of results and to promote the quality and capacity associated with decision-making. This paper presents some of the research held by the metrology division of the Portuguese civil engineering research institutes, focused on the contribution of measurement uncertainty studies to a variety of frameworks, such as testing for metrological characterization and physical and mathematical modeling. Experimental data will be used to illustrate practical cases. </jats:p> Measurement quality and uncertainty evaluation in civil engineering research International Journal of Metrology and Quality Engineering |
| spellingShingle | Silva Ribeiro, A., Alves e Sousa, J., Oliveira Costa, C., Vieira de Sousa, J.F., Almeida Garrett, J., Lages Martins, L., International Journal of Metrology and Quality Engineering, Measurement quality and uncertainty evaluation in civil engineering research, Safety, Risk, Reliability and Quality |
| title | Measurement quality and uncertainty evaluation in civil engineering research |
| title_full | Measurement quality and uncertainty evaluation in civil engineering research |
| title_fullStr | Measurement quality and uncertainty evaluation in civil engineering research |
| title_full_unstemmed | Measurement quality and uncertainty evaluation in civil engineering research |
| title_short | Measurement quality and uncertainty evaluation in civil engineering research |
| title_sort | measurement quality and uncertainty evaluation in civil engineering research |
| title_unstemmed | Measurement quality and uncertainty evaluation in civil engineering research |
| topic | Safety, Risk, Reliability and Quality |
| url | http://dx.doi.org/10.1051/ijmqe/2013043 |