Application of Probabilistic Analysis in Finite Element Modeling of Prestressed Inverted T-Beam with Web Openings
Recent trends of structural mechanics applications in finite element analysis demonstrate an increasing demand for efficient analysis tools. This paper presents a probabilistic analysis approach applied in finite element analysis for modeling prestressed inverted T-beams with web openings structure...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English English |
| Published: |
Maxwell Scientific Organization
2012
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/6794/1/Application_of_Probabilistic_Analysis_in_Finite_Element_Modeling_of.pdf http://umpir.ump.edu.my/id/eprint/6794/4/Application%20of%20Probabilistic%20Analysis.pdf |
| _version_ | 1796990160082042880 |
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| author | Ming, Tie Tian, Cheng Hock Zahrizan, Zakaria Ideris, Zakaria |
| author_facet | Ming, Tie Tian, Cheng Hock Zahrizan, Zakaria Ideris, Zakaria |
| author_sort | Ming, Tie |
| collection | UMP |
| description | Recent trends of structural mechanics applications in finite element analysis demonstrate an increasing demand for efficient analysis tools. This paper presents a probabilistic analysis approach applied in finite element analysis for modeling prestressed inverted T-beams with web openings structure used in building service system (mechanical, electrical, communications, and plumbing). The experimental program reported in this paper tested four prestressed inverted T-beams with circular web openings to failure to evaluate the openings' effect on various beam behaviors. Using ANSYS, finite element models were developed to simulate beam deflection behavior. Comparison of analytical results with the available experimental results for load deflection
relationships showed good agreement between both results. Probabilistic analysis methodology could predict the response (i.e., deflection, stress, strain etc) due to various combination of input variables (i.e.,Poisson`s ratio, modulus of elasticity, etc). In reality, uncertainties exist in a system and environment that may
make the application of deterministic design unreliable which causes the values of the variables that are acting
on the system cannot be predicted with certainty. As such, probabilistic approach was applied to the model after deterministic analysis. In this study, the probabilistic analysis approach was applied to account for the variability in fabrication. Probabilistic methodology applied in finite element modeling provides another alternative ways of structural analysis of prest stressed inverted T-beams with web openings to achieve a robust and reliable design in a more efficient way. In this study, Monte Carlo simulation was used to analyze the effect of parameter uncertainty for the prestressed inverted T-beams with web openings. From the analysis results, it was observed that the changes in prestressing force, elastic modulus of prestressing steel, ultimate tensile strength of prestressing steel and beam width tend to be the most influencing parameters, which need to be tightly controlled. As a result, from deterministic analysis and probabilistic analysis, it was found that
probabilistic analysis tends to be closer to reality than deterministic methods and gives a way of designing for
quality. |
| first_indexed | 2024-03-06T11:47:31Z |
| format | Article |
| id | UMPir6794 |
| institution | Universiti Malaysia Pahang |
| language | English English |
| last_indexed | 2024-03-06T11:47:31Z |
| publishDate | 2012 |
| publisher | Maxwell Scientific Organization |
| record_format | dspace |
| spelling | UMPir67942018-02-05T03:41:18Z http://umpir.ump.edu.my/id/eprint/6794/ Application of Probabilistic Analysis in Finite Element Modeling of Prestressed Inverted T-Beam with Web Openings Ming, Tie Tian, Cheng Hock Zahrizan, Zakaria Ideris, Zakaria TA Engineering (General). Civil engineering (General) Recent trends of structural mechanics applications in finite element analysis demonstrate an increasing demand for efficient analysis tools. This paper presents a probabilistic analysis approach applied in finite element analysis for modeling prestressed inverted T-beams with web openings structure used in building service system (mechanical, electrical, communications, and plumbing). The experimental program reported in this paper tested four prestressed inverted T-beams with circular web openings to failure to evaluate the openings' effect on various beam behaviors. Using ANSYS, finite element models were developed to simulate beam deflection behavior. Comparison of analytical results with the available experimental results for load deflection relationships showed good agreement between both results. Probabilistic analysis methodology could predict the response (i.e., deflection, stress, strain etc) due to various combination of input variables (i.e.,Poisson`s ratio, modulus of elasticity, etc). In reality, uncertainties exist in a system and environment that may make the application of deterministic design unreliable which causes the values of the variables that are acting on the system cannot be predicted with certainty. As such, probabilistic approach was applied to the model after deterministic analysis. In this study, the probabilistic analysis approach was applied to account for the variability in fabrication. Probabilistic methodology applied in finite element modeling provides another alternative ways of structural analysis of prest stressed inverted T-beams with web openings to achieve a robust and reliable design in a more efficient way. In this study, Monte Carlo simulation was used to analyze the effect of parameter uncertainty for the prestressed inverted T-beams with web openings. From the analysis results, it was observed that the changes in prestressing force, elastic modulus of prestressing steel, ultimate tensile strength of prestressing steel and beam width tend to be the most influencing parameters, which need to be tightly controlled. As a result, from deterministic analysis and probabilistic analysis, it was found that probabilistic analysis tends to be closer to reality than deterministic methods and gives a way of designing for quality. Maxwell Scientific Organization 2012 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/6794/1/Application_of_Probabilistic_Analysis_in_Finite_Element_Modeling_of.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/6794/4/Application%20of%20Probabilistic%20Analysis.pdf Ming, Tie and Tian, Cheng Hock and Zahrizan, Zakaria and Ideris, Zakaria (2012) Application of Probabilistic Analysis in Finite Element Modeling of Prestressed Inverted T-Beam with Web Openings. Research Journal of Applied Sciences, Engineering and Technology, 4 (4). pp. 350-366. ISSN 2040-7467. (Published) http://www.maxwellsci.com/print/rjaset/v4-350-366.pdf |
| spellingShingle | TA Engineering (General). Civil engineering (General) Ming, Tie Tian, Cheng Hock Zahrizan, Zakaria Ideris, Zakaria Application of Probabilistic Analysis in Finite Element Modeling of Prestressed Inverted T-Beam with Web Openings |
| title | Application of Probabilistic Analysis in Finite Element Modeling of Prestressed Inverted T-Beam with Web Openings |
| title_full | Application of Probabilistic Analysis in Finite Element Modeling of Prestressed Inverted T-Beam with Web Openings |
| title_fullStr | Application of Probabilistic Analysis in Finite Element Modeling of Prestressed Inverted T-Beam with Web Openings |
| title_full_unstemmed | Application of Probabilistic Analysis in Finite Element Modeling of Prestressed Inverted T-Beam with Web Openings |
| title_short | Application of Probabilistic Analysis in Finite Element Modeling of Prestressed Inverted T-Beam with Web Openings |
| title_sort | application of probabilistic analysis in finite element modeling of prestressed inverted t beam with web openings |
| topic | TA Engineering (General). Civil engineering (General) |
| url | http://umpir.ump.edu.my/id/eprint/6794/1/Application_of_Probabilistic_Analysis_in_Finite_Element_Modeling_of.pdf http://umpir.ump.edu.my/id/eprint/6794/4/Application%20of%20Probabilistic%20Analysis.pdf |
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