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

Editat de Carlo Pellegrino, Flora Faleschini, Mariano Angelo Zanini, José C. Matos, Joan R. Casas, Alfred Strauss
en Limba Engleză Hardback – 12 dec 2021
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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Specificații

ISBN-13: 9783030918767
ISBN-10: 3030918769
Pagini: 1480
Ilustrații: XXIV, 1430 p. 920 illus., 764 illus. in color. In 2 volumes, not available separately.
Dimensiuni: 160 x 241 x 90 mm
Greutate: 2.52 kg
Ediția:1st ed. 2022
Editura: Springer
Locul publicării:Cham, Switzerland

Textul de pe ultima copertă

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.   

Caracteristici

Presents the state of the art in bridge engineering Support stakeholders through the use of advanced tools on their decision process Written by leading experts in the field