2016
DOI: 10.1007/s11340-016-0241-3
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Evaluation of Methodologies to Accelerate Corrosion Assisted Fatigue Experiments

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Cited by 10 publications
(5 citation statements)
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“…The result implies that higher temperature causes workers to be exhausted faster. This study support previous studies stating that temperature in the workplace may affect fatigue (Tanabe et al, 2007;Micone & De Waele, 2017). Previous study has reported a difference between workers working below threshold values and above threshold values (Ramdan, 2007).…”
Section: Resultssupporting
confidence: 91%
“…The result implies that higher temperature causes workers to be exhausted faster. This study support previous studies stating that temperature in the workplace may affect fatigue (Tanabe et al, 2007;Micone & De Waele, 2017). Previous study has reported a difference between workers working below threshold values and above threshold values (Ramdan, 2007).…”
Section: Resultssupporting
confidence: 91%
“…The fatigue lives of the specimens in the CF tests should depend strongly on the time required to develop a corrosion pit, as corrosion pits are the mechanisms that trigger crack initiation in these tests. The kinetics of corrosion pit formation depend mostly on the loading frequency [ 52 ], the salt concentration [ 53 ], the temperature, and the pH of the corrosive medium [ 54 ]. Since all these variables remained identical for all the specimens, the crack initiation times of the CF tests are believed to have been virtually alike.…”
Section: Discussionmentioning
confidence: 99%
“…Impact the slope stability and hydraulic stability ( Ding et al, 2015 ; Sedlacek et al, 2012 ). Australian Bathymetry and Topography Grid ( Whiteway, 2009 ) and Lidar (for better resolutions) USA National Oceanic and Atmospheric Administration (NOAA) Wave Watch III (NWW3) operational wave model ( Tolman et al, 2002 ) Simulating WAves Nearshore (SWAN) ( Booij et al, 1999 ) CSIRO Wave Energy Atlas ( Hemer and Griffin, 2010 ) AuSEABED (Surficial Sediments of the Australian Seabed) ( Surficial sediments of the Australian seabed, 2006 ) Integrated Marine Observing System ( IMOS, 2020 ) Australian Renewable Energy Mapping Infrastructure ( Agency, 2020 ) Global Wind Atlas ( GWA, 2020 ) Slope, % Substrate sand grain angularity grain size distribution soil unit weight Water condition pH These parameters not only affect corrosion/Fatigue behaviour ( Adedipe et al, 2016 ; Micone and De Waele, 2017 ; Soares and Parunov, 2019 ) but have direct impact on the fish welfare and the type of fishes to be cultured. Dissolved Oxygen Water temperature, °C Salinity, psu Wave condition Significant wave height, m Direct impact on the structural integrity and stability of the structure by applying wave loads ( Wei et al, 2014 ).…”
Section: Reliability Analysis Of the Integrated Systemmentioning
confidence: 99%