Uncertainty Quantification and Sensitivity Analysis of Concrete Structure Using Multi-Linear Regression Technique
The dynamic analysis of structures with uncertain parameters presents an attractive field of structural health monitoring in many cases of technological interest. In the dynamic analysis of hydraulic structures, such as existing dams, modeling assumptions, resulting inaccuracies, and changes in seis...
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| Format: | Article |
| Language: | English |
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IMS Vogosca
2025-01-01
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| Series: | Science, Engineering and Technology |
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| Online Access: | https://setjournal.com/SET/article/view/205 |
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| _version_ | 1841555918445084672 |
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| author | Abdelhamid Hebbouche Salim Bennoud Ayoub Zeroual |
| author_facet | Abdelhamid Hebbouche Salim Bennoud Ayoub Zeroual |
| author_sort | Abdelhamid Hebbouche |
| collection | DOAJ |
| description | The dynamic analysis of structures with uncertain parameters presents an attractive field of structural health monitoring in many cases of technological interest. In the dynamic analysis of hydraulic structures, such as existing dams, modeling assumptions, resulting inaccuracies, and changes in seismic loading are typically the main sources of uncertainties. Many hydraulic structures of concrete can be subjected to seismic loads. However, it is necessary to take haphazard or random phenomena as crucial considerations when assessing the security of these structures or planning new ones. This paper shows computational analysis for the characterization of the behavior of a concrete gravity dam under seismic loads, which are considered sources of uncertainties. The multi-linear regression methodology was performed and applied to evaluate the dynamic response of the considered structure. Numerous nonlinear time history analyses based on Latin Hypercube Sampling were realized to investigate the effect of uncertain parameters on the dynamic response. These analyses were applied to two types of seismic actions, the near and far earthquakes, which act on a concrete gravity dam. Then, a sensitivity analysis was used for each random variable to quantify its risk and clarify its influence on the dynamic behavior of the dam. Results divulge that for near-fault cases, major variables affecting the global sensitivity across all limit states are the Young’s modulus of soil and concrete. On the other hand, for far-fault cases, the important variables influencing the global sensitivity index include the compressive strength of concrete, Young’s modulus of soil, and cohesion.
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| format | Article |
| id | doaj-art-aa70fa28d95649e9ad9cfdffca3357e5 |
| institution | Kabale University |
| issn | 2831-1043 2744-2527 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IMS Vogosca |
| record_format | Article |
| series | Science, Engineering and Technology |
| spelling | doaj-art-aa70fa28d95649e9ad9cfdffca3357e52025-01-07T22:13:17ZengIMS VogoscaScience, Engineering and Technology2831-10432744-25272025-01-015110.54327/set2025/v5.i1.205Uncertainty Quantification and Sensitivity Analysis of Concrete Structure Using Multi-Linear Regression TechniqueAbdelhamid Hebbouche0https://orcid.org/0000-0002-3415-6535Salim Bennoud1https://orcid.org/0000-0001-6228-8271Ayoub Zeroual 2https://orcid.org/0000-0002-6044-7619Ecole Nationale Supérieure d’Hydraulique, MVRE, Blida, AlgeriaUniversity of Blida 1(Saad Dahlab), Blida, AlgeriaEcole Nationale Supérieure d’Hydraulique,GEE, Blida, Algeria.The dynamic analysis of structures with uncertain parameters presents an attractive field of structural health monitoring in many cases of technological interest. In the dynamic analysis of hydraulic structures, such as existing dams, modeling assumptions, resulting inaccuracies, and changes in seismic loading are typically the main sources of uncertainties. Many hydraulic structures of concrete can be subjected to seismic loads. However, it is necessary to take haphazard or random phenomena as crucial considerations when assessing the security of these structures or planning new ones. This paper shows computational analysis for the characterization of the behavior of a concrete gravity dam under seismic loads, which are considered sources of uncertainties. The multi-linear regression methodology was performed and applied to evaluate the dynamic response of the considered structure. Numerous nonlinear time history analyses based on Latin Hypercube Sampling were realized to investigate the effect of uncertain parameters on the dynamic response. These analyses were applied to two types of seismic actions, the near and far earthquakes, which act on a concrete gravity dam. Then, a sensitivity analysis was used for each random variable to quantify its risk and clarify its influence on the dynamic behavior of the dam. Results divulge that for near-fault cases, major variables affecting the global sensitivity across all limit states are the Young’s modulus of soil and concrete. On the other hand, for far-fault cases, the important variables influencing the global sensitivity index include the compressive strength of concrete, Young’s modulus of soil, and cohesion. https://setjournal.com/SET/article/view/205Damage AssessmentMulti-Linear Regression TechniqueProbabilistic modelSensitivity AnalysisConcrete structure |
| spellingShingle | Abdelhamid Hebbouche Salim Bennoud Ayoub Zeroual Uncertainty Quantification and Sensitivity Analysis of Concrete Structure Using Multi-Linear Regression Technique Science, Engineering and Technology Damage Assessment Multi-Linear Regression Technique Probabilistic model Sensitivity Analysis Concrete structure |
| title | Uncertainty Quantification and Sensitivity Analysis of Concrete Structure Using Multi-Linear Regression Technique |
| title_full | Uncertainty Quantification and Sensitivity Analysis of Concrete Structure Using Multi-Linear Regression Technique |
| title_fullStr | Uncertainty Quantification and Sensitivity Analysis of Concrete Structure Using Multi-Linear Regression Technique |
| title_full_unstemmed | Uncertainty Quantification and Sensitivity Analysis of Concrete Structure Using Multi-Linear Regression Technique |
| title_short | Uncertainty Quantification and Sensitivity Analysis of Concrete Structure Using Multi-Linear Regression Technique |
| title_sort | uncertainty quantification and sensitivity analysis of concrete structure using multi linear regression technique |
| topic | Damage Assessment Multi-Linear Regression Technique Probabilistic model Sensitivity Analysis Concrete structure |
| url | https://setjournal.com/SET/article/view/205 |
| work_keys_str_mv | AT abdelhamidhebbouche uncertaintyquantificationandsensitivityanalysisofconcretestructureusingmultilinearregressiontechnique AT salimbennoud uncertaintyquantificationandsensitivityanalysisofconcretestructureusingmultilinearregressiontechnique AT ayoubzeroual uncertaintyquantificationandsensitivityanalysisofconcretestructureusingmultilinearregressiontechnique |