Reliability Analysis of Timber Roof Truss Systems using Genetic Algorithm

Article ID

KMPH3

Reliability Analysis of Timber Roof Truss Systems using Genetic Algorithm

Prof. Idris Abubakar
Prof. Idris Abubakar
Dr. Sani Magaji
Dr. Sani Magaji Federal Polytechnic Kaura-Namoda, Zamfara State, Nigeria
DOI

Abstract

Structural reliability analysis was carried out on the Mansonia altissima timber, to ascertain its structural performance in timber roof truss system. Structural analysis of the timber truss was in accordance with Eurocode 5 (2004) and was carried out under the Ultimate Limit State of loading. A developed MATLAB (2010) programme was employed for reliability analysis of the timber roof truss of Mansonia altissima timber so designed, to ascertain its level of safety using GA-based First-Order Reliability Method. The uncertainties in the strength and load variables were accommodated in the reliability analysis. The result of the analysis revealed that the Joint failure mode is the critical safety index that is minimum safety index among the failure modes of the truss under the design conditions. The Mansonia altissima timber was found to be a satisfactory structural element for timber roof truss at depth of 75mm, breadth of 50mm and under the ultimate limit state of loading with the corresponding of 2.58. Sensitivity analysis proves that the degree of reliability of the timber roof truss can be improved if crosssections of species, diameter of nail at joint, pitch of truss and loadings are suitable selected.

Reliability Analysis of Timber Roof Truss Systems using Genetic Algorithm

Structural reliability analysis was carried out on the Mansonia altissima timber, to ascertain its structural performance in timber roof truss system. Structural analysis of the timber truss was in accordance with Eurocode 5 (2004) and was carried out under the Ultimate Limit State of loading. A developed MATLAB (2010) programme was employed for reliability analysis of the timber roof truss of Mansonia altissima timber so designed, to ascertain its level of safety using GA-based First-Order Reliability Method. The uncertainties in the strength and load variables were accommodated in the reliability analysis. The result of the analysis revealed that the Joint failure mode is the critical safety index that is minimum safety index among the failure modes of the truss under the design conditions. The Mansonia altissima timber was found to be a satisfactory structural element for timber roof truss at depth of 75mm, breadth of 50mm and under the ultimate limit state of loading with the corresponding of 2.58. Sensitivity analysis proves that the degree of reliability of the timber roof truss can be improved if crosssections of species, diameter of nail at joint, pitch of truss and loadings are suitable selected.

Prof. Idris Abubakar
Prof. Idris Abubakar
Dr. Sani Magaji
Dr. Sani Magaji Federal Polytechnic Kaura-Namoda, Zamfara State, Nigeria

No Figures found in article.

Dr. Sani Magaji. 2016. “. Global Journal of Research in Engineering – E: Civil & Structural GJRE-E Volume 16 (GJRE Volume 16 Issue E3): .

Download Citation

Journal Specifications

Crossref Journal DOI 10.17406/gjre

Print ISSN 0975-5861

e-ISSN 2249-4596

Classification
GJRE-E Classification: FOR Code: 090506
Keywords
Article Matrices
Total Views: 3637
Total Downloads: 1860
2026 Trends
Research Identity (RIN)
Related Research
Our website is actively being updated, and changes may occur frequently. Please clear your browser cache if needed. For feedback or error reporting, please email [email protected]

Request Access

Please fill out the form below to request access to this research paper. Your request will be reviewed by the editorial or author team.
X

Quote and Order Details

Contact Person

Invoice Address

Notes or Comments

This is the heading

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.

High-quality academic research articles on global topics and journals.

Reliability Analysis of Timber Roof Truss Systems using Genetic Algorithm

Prof. Idris Abubakar
Prof. Idris Abubakar
Dr. Sani Magaji
Dr. Sani Magaji Federal Polytechnic Kaura-Namoda, Zamfara State, Nigeria

Research Journals