Til Baalisampang
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Research Interests
Til Baalisampang has a total of 19 co-authors. Here are the top co-authors by number of shared publications:
- Vikram Garaniya
University of Tasmania
12 shared publications - Rouzbeh Abbassi
School of Engineering, Macquarie University, Sydney, NSW 2109, Australia
11 shared publications Faisal Khan
6 shared publications- Mohammad Dadashzadeh
Hydrogen Safety Engineering and Research Centre (HySAFER) Ulster University Newtownabbey Northern Ireland UK
5 shared publications Ehsan Arzaghi
4 shared publications- Ehsan Arzaghi2 shared publications
Latest Publications
- Open Access
- 1 October 2026
- Published by Elsevier in SSRN Electronic Journal
Experimental investigation of fatigue in AISI 316L stainless steel with multiple corrosion pits
Corrosion fatigue is a critical degradation mechanism affecting the structural integrity of marine and offshore components. Pitting is particularly detrimental because it acts as a stress concentrator and can initiate early fatigue failure. The present study investigates the impact of pitting corrosion on the fatigue life of AISI 316L stainless steel. Specimens were subjected to accelerated corrosion using ferric chloride (FeCl3) in accordance with ASTM G48-11 for 24, 48, and 72 hours. Fatigue tests were then conducted under tension-tension loading at two stress amplitudes (164.16 MPa and 191.52 MPa) in accordance with ASTM E466-21. Surface characterisation using a high-resolution optical profiler quantified pit morphology, including depth, diameter, and density, while metal loss was measured separately. Results showed a monotonic decline in fatigue performance with increasing pit depth, density, maximum diameter, and metal loss. Specimens with greater maximum pit diameter, pit density, and metal loss tended to have shorter fatigue lives. Multiple linear regression (MLR) was employed to examine the relationships between fatigue life and pit characteristics. The model showed better prediction results at higher stress levels, where metal loss had a greater influence on fatigue failure. In contrast, greater variability in prediction at lower stress reflected the influence of local microstructural and geometric factors. These findings advance understanding of pit-induced fatigue failure and support condition monitoring, integrity assessment, and predictive maintenance strategies.
- 1 October 2026
- Published by Elsevier in SSRN Electronic Journal
Open AccessExperimental investigation of fatigue in AISI 316L stainless steel with multiple corrosion pits
Corrosion fatigue is a critical degradation mechanism affecting the structural integrity of marine and offshore components. Pitting is particularly detrimental because it acts as a stress concentrator and can initiate early fatigue failure. The present study investigates the impact of pitting corrosion on the fatigue life of AISI 316L stainless steel. Specimens were subjected to accelerated corrosion using ferric chloride (FeCl3) in accordance with ASTM G48-11 for 24, 48, and 72 hours. Fatigue tests were then conducted under tension-tension loading at two stress amplitudes (164.16 MPa and 191.52 MPa) in accordance with ASTM E466-21. Surface characterisation using a high-resolution optical profiler quantified pit morphology, including depth, diameter, and density, while metal loss was measured separately. Results showed a monotonic decline in fatigue performance with increasing pit depth, density, maximum diameter, and metal loss. Specimens with greater maximum pit diameter, pit density, and metal loss tended to have shorter fatigue lives. Multiple linear regression (MLR) was employed to examine the relationships between fatigue life and pit characteristics. The model showed better prediction results at higher stress levels, where metal loss had a greater influence on fatigue failure. In contrast, greater variability in prediction at lower stress reflected the influence of local microstructural and geometric factors. These findings advance understanding of pit-induced fatigue failure and support condition monitoring, integrity assessment, and predictive maintenance strategies.
- Open Access
- 8 September 2026
- Published by Elsevier in Results in Engineering
- Vol. 32
A systematic review of machine learning advances in predicting pitting corrosion fatigue of marine and offshore structures
- 8 September 2026
- Published by Elsevier in Results in Engineering
- Vol. 32
Open AccessA systematic review of machine learning advances in predicting pitting corrosion fatigue of marine and offshore structures
- Top Cited PapersOpen Access
- 9 August 2024
- Published by Elsevier in Journal of Loss Prevention in the Process Industries
- Vol. 91
A technical review on quantitative risk analysis for hydrogen infrastructure
- 9 August 2024
- Published by Elsevier in Journal of Loss Prevention in the Process Industries
- Vol. 91
Top Cited PapersOpen AccessA technical review on quantitative risk analysis for hydrogen infrastructure
- Open Access
- 8 June 2023
- Published by Elsevier in Process Safety and Environmental Protection
- Vol. 176, 475-488
Computational analysis of the hydrogen dispersion in semi-confined spaces
- 8 June 2023
- Published by Elsevier in Process Safety and Environmental Protection
- Vol. 176, 475-488
Open AccessComputational analysis of the hydrogen dispersion in semi-confined spaces
- Top Cited PapersOpen Access
- 22 April 2023
- Published by Elsevier in Process Safety and Environmental Protection
- Vol. 174, 805-817
Insights into decision-making for offshore green hydrogen infrastructure developments
- 22 April 2023
- Published by Elsevier in Process Safety and Environmental Protection
- Vol. 174, 805-817
Top Cited PapersOpen AccessInsights into decision-making for offshore green hydrogen infrastructure developments
- 14 December 2022
- Published by Elsevier in Journal of Cleaner Production
- Vol. 384
Synergy of green hydrogen sector with offshore industries: Opportunities and challenges for a safe and sustainable hydrogen economy
- 14 December 2022
- Published by Elsevier in Journal of Cleaner Production
- Vol. 384
Synergy of green hydrogen sector with offshore industries: Opportunities and challenges for a safe and sustainable hydrogen economy
- 3 December 2019
- Published by Wiley in Process Safety Progress
- Vol. 39 (S1)
Modeling impacts of combustion products on humans in complex processing facilities
Heat radiation, combustion products, and flame engulfment are the main hazards from a fire event. Several reports have indicated that fire toxicity has caused greater numbers of human injuries and fatalities than those of heat radiation and flame engulfment. In a complex facility, the risk of fire toxicity increases significantly due to the difficulty of escaping in cases of emergency rescue and evacuation operations. This study proposes a methodology to model the impact of combustion products on humans. Several fire scenarios were considered to identify credible fire scenarios. In the most credible fire scenario, concentrations of combustion products over the layout of a facility were modeled. The results showed that the concentrations of CO and CO2 are below the short‐term exposure limit and lethal concentration 50 threshold limits at the considered time. The possible reasons for this are that the fire location was in a well‐ventilated area and equipment layouts were designed with proper safety gaps replicating a full‐scale dimension of an operating floating liquefied natural gas processing facility. The concentration of soot is above the threshold limit, and this has the potential to cause adverse health effects. This study can provide a tool for assessing fire toxicity in processing facilities, which will help improve safety measures.
- 3 December 2019
- Published by Wiley in Process Safety Progress
- Vol. 39 (S1)
Modeling impacts of combustion products on humans in complex processing facilities
Heat radiation, combustion products, and flame engulfment are the main hazards from a fire event. Several reports have indicated that fire toxicity has caused greater numbers of human injuries and fatalities than those of heat radiation and flame engulfment. In a complex facility, the risk of fire toxicity increases significantly due to the difficulty of escaping in cases of emergency rescue and evacuation operations. This study proposes a methodology to model the impact of combustion products on humans. Several fire scenarios were considered to identify credible fire scenarios. In the most credible fire scenario, concentrations of combustion products over the layout of a facility were modeled. The results showed that the concentrations of CO and CO2 are below the short‐term exposure limit and lethal concentration 50 threshold limits at the considered time. The possible reasons for this are that the fire location was in a well‐ventilated area and equipment layouts were designed with proper safety gaps replicating a full‐scale dimension of an operating floating liquefied natural gas processing facility. The concentration of soot is above the threshold limit, and this has the potential to cause adverse health effects. This study can provide a tool for assessing fire toxicity in processing facilities, which will help improve safety measures.
- 1 November 2019
- Published by Elsevier in Journal of Loss Prevention in the Process Industries
- Vol. 62
Numerical analysis of performances of passive fire protections in processing facilities
- 1 November 2019
- Published by Elsevier in Journal of Loss Prevention in the Process Industries
- Vol. 62
Numerical analysis of performances of passive fire protections in processing facilities
- 1 November 2019
- Published by Elsevier in Journal of Loss Prevention in the Process Industries
- Vol. 62
Methodology to analyse LNG spill on steel structure in congested marine offshore facility
- 1 November 2019
- Published by Elsevier in Journal of Loss Prevention in the Process Industries
- Vol. 62
Methodology to analyse LNG spill on steel structure in congested marine offshore facility