Condition Assessment and Failure Probability of Existing Bridges in the Cachar District, Assam
This paper deals with the description of the probabilistic methodology to evaluate the failure probability of the bridges in the Cachar district (Assam, India) based on the present condition data. Condition assessment of the bridge decks is done by the help of visual inspection following as per National Bridge Inventory (NBI) Survey procedure adopting the condition rating of bridges is evaluated and categorized. The aging and maturity of the bridge are the important factor, the work thinking adopted is from initial age of construction to till date and estimation of the adequate probabilistic distribution with respect to the data available of the study area selected, and then the parameters of probability distribution and its contents come to act in finding of the probability failure percentage. The paper also establishes the facts about the bridge deck failure percentage in 20 years (in time) and the condition of the bridge deck in 10% probability failure state; with respect to years and the outcome it shows that the condition of the rural bridges (being in higher condition rating) are in unsatisfactory state than the highway bridges and also shows the difference in condition of the concrete and pre-stressed bridges in the district. The concept of the study would provide a rational decision-making idea about the condition of the in-service bridges and probability of failure of the deck component available, which however will ensure the maintenance service and its proper cost utilization.
KeywordsCondition assessment method Condition rating Weibull distribution Probability of failure
This work was mainly carried out receiving the financial support from the DST-SERB, GOI under sanction no.ECR/2016/001329.
- 1.Agrawal AK, Kawaguchi A, Chen Z (2010) Deterioration rates of typical bridge elements in New York. J Bridge Eng 10.1061/ (ASCE) BE.1943–5592.0000123, 419–429Google Scholar
- 2.Kobayashi K, Kaito K, Lethanh N (2010) Deterioration forecasting model with multistage Weibull hazard functions. J Infrastruct Syst 10.1061/ (ASCE) IS.1943-555X.0000033, pp 282–291Google Scholar
- 7.Tabatabai H, Tabatabai M, Lee CW (2011) Reliability of bridge decks in Wisconsin”. J Bridge Eng. https://doi.org/10.1061/(ASCE)BE.1943-5592.0000133CrossRefGoogle Scholar
- 8.Hajializadeh D, OBrien EJ, Stewart MG (2014) The sensitivity of bridge safety to spatial correlation of load and resistance”, Engineering Structures (2014) 71 99–111Google Scholar
- 10.Nasrollahi M, Washer G (2014) Estimating inspection intervals for bridges based on statistical analysis of national bridge inventory data. 10.1061/ (ASCE) BE. 1943–5592. 0000710Google Scholar
- 11.Enright B, Leahy C, O’Brien EJ (2014) A Bayesian approach for estimating characteristics bridge traffic load effects. Civil engineering research in Ireland, Belfast, UKGoogle Scholar
- 16.Dodson B (2006) The Weibull analysis handbook. ASQ Quality Press, Milwaukee, WIGoogle Scholar
- 17.Federal Highway Administration (FHWA). (1988) Revisions to the national bridge inspection standards (NBIS). Tech. Advisory 5140.21, Washington, DC. Rep. No. FHWA-PD-96–001, Washington, DCGoogle Scholar