A HEALTH MONITORING FRAMEWORK FOR OPTIMAL SERVICE LIFE PREDICTIONS OF STEEL STRUCTURES UNDER FATIGUE LOADING

Author(s):  
Nour Wehbi ◽  
Wael Slika
Author(s):  
Goran Alpsten

This paper is based on the experience from investigating over 400 structural collapses, incidents and serious structural damage cases with steel structures which have occurred over the past four centuries. The cause of the failures is most often a gross human error rather than a combination of “normal” variations in parameters affecting the load-carrying capacity, as considered in normal design procedures and structural reliability analyses. Human errors in execution are more prevalent as cause for the failures than errors in the design process, and the construction phase appears particularly prone to human errors. For normal steel structures with quasi-static (non-fatigue) loading, various structural instability phenomena have been observed to be the main collapse mode. An important observation is that welds are not as critical a cause of structural steel failures for statically loaded steel structures as implicitly understood in current regulations and rules for design and execution criteria.


2021 ◽  
Author(s):  
Abbas Salimi Zaini ◽  
Siti Norul Huda Sheikh Abdullah ◽  
Khairul Akram Zainol Ariffin ◽  
Meng Chun Lam ◽  
Rusdi Abd Rashid ◽  
...  

2019 ◽  
Vol 289 ◽  
pp. 08002
Author(s):  
Joost Gulikers

There is an increasing demand from asset owners for service life prediction of existing reinforced concrete structures. This requires assessment of the current condition and modelling to allow for a prediction. This paper critically discusses a number of subjects relevant for service life prediction with respect to durability related to chloride-induced reinforcement corrosion. The subjects include the physical meaning and variability of the end-of-service-life criterion, the validity of the deterioration models, the availability, variability and reality level of input values for some model parameters, as well as some practical issues concerning site investigations. The findings are exemplified by calculation examples using both a deterministic as well as a full probabilistic approach. It is anticipated that in the future a full probabilistic approach will be adopted which makes service life predictions more prone to manipulation of input values, as literature provides a wide spectrum of values to choose from. Although a probabilistic approach seems very impressive to most asset owners it usually disguises the lack of knowledge, responsibility and liability of the consultant involved. It is concluded that asset owners will be easy prey for consultants to play a lucrative numbers game eventually providing a desirable and realistic outcome, mostly already known beforehand.


Sign in / Sign up

Export Citation Format

Share Document