Service life prediction for steel wires in hangers of a newly built suspension bridge considering corrosion fatigue and traffic growth

2020 ◽  
Vol 27 (12) ◽  
Author(s):  
Yang Deng ◽  
Ai‐Qun Li ◽  
Dong‐ming Feng ◽  
Xin Chen ◽  
Meng Zhang
Keyword(s):  
Service Life ◽  
Corrosion Fatigue ◽  
Life Prediction ◽  
Suspension Bridge ◽  
Service Life Prediction ◽  
Steel Wires ◽  
Traffic Growth

Corrosion fatigue failure analysis and service life prediction of high strength steel wire

2020 ◽  
Vol 110 ◽  
pp. 104440 ◽  
Author(s):  
Songling Xue ◽  
Ruili Shen ◽  
Wei Chen ◽  
Rusong Miao
Keyword(s):  
Service Life ◽  
Failure Analysis ◽  
Fatigue Failure ◽  
Corrosion Fatigue ◽  
High Strength Steel ◽  
Life Prediction ◽  
Steel Wire ◽  
High Strength ◽  
Service Life Prediction

scholarly journals Critical Review of Polymeric Building Envelope Materials: Degradation, Durability and Service Life Prediction

Buildings ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. 299
Author(s):  
Marzieh Riahinezhad ◽  
Madeleine Hallman ◽  
J-F. Masson
Keyword(s):  
Climate Change ◽  
Service Life ◽  
Critical Review ◽  
Life Prediction ◽  
Building Envelope ◽  
Service Life Prediction ◽  
Degradation Mechanisms ◽  
Material Component ◽  
Aging Conditions ◽  
Environmentally Sound

This paper provides a critical review of the degradation, durability and service life prediction (SLP) of polymeric building envelope materials (BEMs), namely, claddings, air/vapour barriers, insulations, sealants, gaskets and fenestration. The rate of material deterioration and properties determine the usefulness of a product; therefore, knowledge of the significant degradation mechanisms in play for BEMs is key to the design of proper SLP methods. SLP seeks to estimate the life expectancy of a material/component exposed to in-service conditions. This topic is especially important with respect to the potential impacts of climate change. The surrounding environment of a building dictates the degradation mechanisms in play, and as climate change progresses, material aging conditions become more unpredictable. This can result in unexpected changes and/or damages to BEMs, and shorter than expected SL. The development of more comprehensive SLP methods is economically and environmentally sound, and it will provide more confidence, comfort and safety to all building users. The goal of this paper is to review the existing literature in order to identify the knowledge gaps and provide suggestions to address these gaps in light of the rapidly evolving climate.

scholarly journals Service life prediction of historic timber-framed structures of the Kadariah Palace in Pontianak, Indonesia

2021 ◽  
Vol 1833 (1) ◽  
pp. 012018
Author(s):  
N Setiawan ◽  
H Prabowo ◽  
E P Akbar
Keyword(s):  
Service Life ◽  
Life Prediction ◽  
Service Life Prediction ◽  
Framed Structures

scholarly journals A modified Weibull model for service life prediction and spare parts forecast in heat treatment industry

2021 ◽  
Vol 54 ◽  
pp. 172-177
Author(s):  
Klaudia Kovacs ◽  
Fazel Ansari ◽  
Wilfried Sihn
Keyword(s):  
Heat Treatment ◽  
Service Life ◽  
Life Prediction ◽  
Weibull Model ◽  
Spare Parts ◽  
Service Life Prediction ◽  
Modified Weibull

Appropriate use of the ISO 15686-1 factor method for durability and service life prediction

2004 ◽  
Vol 32 (6) ◽  
pp. 552-553 ◽  
Author(s):  
Hywel Davies ◽  
David Wyatt
Keyword(s):  
Service Life ◽  
Life Prediction ◽  
Service Life Prediction ◽  
Appropriate Use ◽  
Factor Method

Service life prediction of lining concrete of subsea tunnel under combined compressive load and carbonation

2010 ◽  
Vol 25 (6) ◽  
pp. 1061-1064 ◽  
Author(s):  
Jingru Chen ◽  
Xiaocui Song ◽  
Tiejun Zhao ◽  
Li Tian
Keyword(s):  
Service Life ◽  
Life Prediction ◽  
Compressive Load ◽  
Service Life Prediction ◽  
Subsea Tunnel

Service life prediction for solid propellant motors

1978 ◽  
Author(s):  
R. HELLER ◽  
M. KAMAT
Keyword(s):  
Service Life ◽  
Solid Propellant ◽  
Life Prediction ◽  
Service Life Prediction
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