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Proceedings of the 1st Conference of the European Association on Quality Control of Bridges and Structures

Om Proceedings of the 1st Conference of the European Association on Quality Control of Bridges and Structures

This book gathers the latest advances and innovations in the field of quality control and improvement of bridges and structures, as presented by international researchers and engineers at the 1st Conference of the European Association on Quality Control of Bridges and Structures (EUROSTRUCT 2021), held in Padua, Italy on August 29 ¿ September 1, 2021. Contributions include a wide range of topics such as testing and advanced diagnostic techniques for damage detection; SHM and AI, IoT and machine learning for data analysis of bridges and structures; fiberoptics and smart sensors for long-term SHM; structural reliability, risk, robustness, redundancy and resilience for bridges; corrosion models, fatigue analysis and impact of hazards on infrastructure components; bridge and asset management systems, and decision-making models; Life-Cycle Analysis, retrofit and service-life extension, risk management protocols; quality control plans, sustainability and green materials.

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  • Språk:
  • Engelska
  • ISBN:
  • 9783030918767
  • Format:
  • Inbunden
  • Sidor:
  • 1430
  • Utgiven:
  • 12. december 2021
  • Utgåva:
  • 12022
  • Mått:
  • 155x235x0 mm.
  • Vikt:
  • 2536 g.
  Fri leverans
Leveranstid: 2-4 veckor
Förväntad leverans: 19. september 2025

Beskrivning av Proceedings of the 1st Conference of the European Association on Quality Control of Bridges and Structures

This book gathers the latest advances and innovations in the field of quality control and improvement of bridges and structures, as presented by international researchers and engineers at the 1st Conference of the European Association on Quality Control of Bridges and Structures (EUROSTRUCT 2021), held in Padua, Italy on August 29 ¿ September 1, 2021. Contributions include a wide range of topics such as testing and advanced diagnostic techniques for damage detection; SHM and AI, IoT and machine learning for data analysis of bridges and structures; fiberoptics and smart sensors for long-term SHM; structural reliability, risk, robustness, redundancy and resilience for bridges; corrosion models, fatigue analysis and impact of hazards on infrastructure components; bridge and asset management systems, and decision-making models; Life-Cycle Analysis, retrofit and service-life extension, risk management protocols; quality control plans, sustainability and green materials.

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