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Computational Modeling of Masonry Structures Using the Discrete Element Method (Hardcover): Vasilis Sarhosis, Katalin Bagi,... Computational Modeling of Masonry Structures Using the Discrete Element Method (Hardcover)
Vasilis Sarhosis, Katalin Bagi, J.V. Lemos, Gabriele Milani
R5,370 Discovery Miles 53 700 Ships in 18 - 22 working days

The Discrete Element Method (DEM) has emerged as a solution to predicting load capacities of masonry structures. As one of many numerical methods and computational solutions being applied to evaluate masonry structures, further research on DEM tools and methodologies is essential for further advancement. Computational Modeling of Masonry Structures Using the Discrete Element Method explores the latest digital solutions for the analysis and modeling of brick, stone, concrete, granite, limestone, and glass block structures. Focusing on critical research on mathematical and computational methods for masonry analysis, this publication is a pivotal reference source for scholars, engineers, consultants, and graduate-level engineering students.

Data Driven Methods for Civil Structural Health Monitoring and Resilience - Latest Developments and Applications: Mohammad... Data Driven Methods for Civil Structural Health Monitoring and Resilience - Latest Developments and Applications
Mohammad Noori, Carlo Rainieri, Marco Domaneschi, Vasilis Sarhosis
R3,086 Discovery Miles 30 860 Ships in 10 - 15 working days

Data Driven Methods for Civil Structural Health Monitoring and Resilience: Latest Developments and Applications provides a comprehensive overview of data-driven methods for structural health monitoring (SHM) and resilience of civil engineering structures, mostly based on artificial intelligence or other advanced data science techniques. This allows existing structures to be turned into smart structures, thereby able to provide intelligible information about their state of health and performance on a continuous, relatively real-time basis. Artificial-intelligence based methodologies are becoming increasingly more attractive for civil engineering and SHM applications; machine learning and deep learning methods can be applied and further developed to transform the available data into valuable information for engineers and decision makers.

From Corbel Arches to Double Curvature Vaults - Analysis, Conservation and Restoration of Architectural Heritage Masonry... From Corbel Arches to Double Curvature Vaults - Analysis, Conservation and Restoration of Architectural Heritage Masonry Structures (Hardcover, 1st ed. 2022)
Gabriele Milani, Vasilis Sarhosis
R6,147 R5,369 Discovery Miles 53 690 Save R778 (13%) Ships in 10 - 15 working days

The book focuses on all typological aspects of arches and vaults within the heritage of design and construction, while bringing attention to new "green" materials, promoting a circular economy informed by limitations caused by global warming. The multidisciplinary approach involves several different competences in architecture, structural engineering, conservation and restoration, geomatics, BIM, building engineering, the technology and history of construction, graphical methods of assessment, and innovative design that utilizes non-polluting materials. After an overview of the technical and aesthetic advantages of masonry vaults, there is a review of the most up-to-date trends in historic preservation. Classic methods of static assessment and innovative building technologies are detailed. Surveying methods and data acquisition are discussed, particularly laser scanning technology and its applications in heritage masonry curved structures. Next comes the experimental static and dymanic behavior of masonry vaults, followed by a critical revision of Distinct Element innovative computerized Methods. An explanation as to how to pass from classic stability analysis to an adaptive Finite Element Method limit analysis procedure is offered. Reinterpretation of the past is then undertaken, with an eye towards emphasizing sustainability. Finally, the conclusion examines still existing gaps in knowledge and recommends avenues of future research.

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