Periodic Reporting for period 2 - INFRASTAR (Innovation and Networking for Fatigue and Reliability Analysis of Structures - Training forAssessment of Risk)
Periodo di rendicontazione: 2018-05-01 al 2020-04-30
INFRASTAR aims to develop knowledge, expertise and skills for optimal and reliable management of structures. The generic methodology is applied to bridges and wind turbines in relation to fatigue, offering the opportunity to deal with complementary notions while addressing three major challenges: 1) advanced modelling of concrete fatigue behaviour; 2) new non-destructive testing methods for early aged damage detection; and 3) probabilistic approach of structure reliability under fatigue.
The project provided comprehensive work on innovative sensing techniques and a better connection to damage indicators (data fusion). Refined models and methods of the loading and behaviour of structural members have been elaborated. The potential cost- and material savings using reliability- and risk-based methods for existing structures demonstrated in the case studies will contribute to decreasing the Levelized Cost Of Energy in wind energy and to increased sustainability.
WP2 provided analysis of data on bridge deck behaviour and a methodology for long-term monitoring. The effect of road traffic loading was investigated with the combination of wind loading. The fatigue behaviour of UHPFRC strengthened with steel rebars was investigated experimentally. Fatigue damage process was identified using refined optical methods. Issues related to the foundation in reinforced concrete of offshore wind turbine (OWT) towers have been investigated. Existing advanced numerical models for the analysis of wind turbine foundations have been extended. A reliable tool to the foundation designers is provided to deliver cost-effective and low-risk offshore wind turbine foundations. The fatigue behaviour and safety of reinforced concrete tower shafts and foundations using reliability methods have been analysed concluding that fatigue partial safety factors can be reduced without compromising structural safety. Fundamental aspects for practical applications of probabilistic methods were validated.
WP3 provided important contributions, e.g. the new developments related to the Value Of Information, as research background for practical applications for risk-informed reassessment and planning of inspections and operation & maintenance of existing bridges and wind turbines, and as basis for standardization, e.g. the probabilistic model for fatigue of concrete.
- Replacement of structures can be postponed or even avoided. In this way, existing bridges and wind turbine infrastructure may serve for a second, long service duration. Value is added to existing bridges and wind turbines that our ancestors passed on this generation. Also, the embodied energy and CO2-emissions, as well as the raw material already used in existing structures are preserved.
- The proposed engineering methods contribute to the optimization of the design of new bridges and wind turbine structures. Unnecessary conservatism is removed. It may be expected that fewer resources will be needed to build new bridges and wind turbines. New technologies including the novel UHPFRC building material allow to simplify and accelerate the construction process leading to less energy and material consumption and to enhance durability. Technical advantages lead to lower environmental impact and life-cycle costs when compared to traditional construction
In conclusion, economic and environmental benefits may be realized by harnessing the present research. Overall, the works performed have the potential to contribute to socio-economic impact by improving the sustainability of bridges and wind turbines.