Advances in Machine Learning and Control Systems for Civil Engineering
A special issue of Mathematical and Computational Applications (ISSN 2297-8747). This special issue belongs to the section "Engineering".
Deadline for manuscript submissions: closed (31 December 2022) | Viewed by 1004
Special Issue Editors
Interests: composite materials; masonry structures; numerical modeling; mechanical engineering; bridge engineering; modal analysis; dynamics; civil engineering; materials engineering; experimental characterization; concrete durability
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Interests: model verification & validation (error estimation, updating); model reduction (multiscale coupling, PGD); dialogue between simulations and experiments (data assimilation, real time applications, optimal control)
Interests: composite materials; composite structures; anisotropy; mechanics of solid; optimization; genetic algorithms; topology optimization; NURBS curves and surfaces; reverse engineering; curve and surface fitting; inverse problems; homogenisation
Special Issues, Collections and Topics in MDPI journals
Interests: composites and nano-composites materials; experimental investigation of composites materials (FRP); computational mechanics; multiscale numerical modelling and simulation of materials and structures; computational design and engineering of innovative sustainable materials and infrastructures; structural rehabilitation of masonry and concrete structures with FRP; full FRP composite structures; connections in composites structures; durability of high performance fiber reinforced concrete (HPFRC)
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Interests: analysis of historical/monumental and archaeological structures; nonlinear behavior of masonry and reinforced concrete (rc) structures; seismic strengthening of masonry and rc members using advanced materials; finite element analysis of masonry and rc structures; seismic behavior of masonry structures; analysis of hollow bridge piers; strengthening design using composites; modeling of corrosion effects in reinforcement and concrete degradation; use of digital image correlation; telepresence and distributed database for european research infrastructures
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Interests: modeling of offshore structures and offshore structural components; structural theories of plates and applied mathematical modeling; mechanics of solids and structures; study of composite laminated structures and advanced composite materials; fracture mechanics and crack propagation and initiation; applied numerical methods such as finite element method and mesh-free element method
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Given the recent interest in information technology and optimization methods for analyzing structures, this book aims to collect contributions on the topic of machine learning and control systems applied to the field of civil engineering for large and medium-scale structures.
This Special Issue considers studies related to data-driven models and the interrelated cyber security problems. Data science involves the use of machine learning algorithms as well as automatic learning since large amounts of data should be analyzed from sensors distributed in designed structures. These approaches aim to provide structural optimizations for the analysts as well as interoperability actions among different fields in engineering. In addition, structural monitoring and reliability are also taken into consideration, since most of the existing civil structures like old buildings, bridges, hospitals, etc., need to be refurbished and in a few cases redesigned by having in mind the green economy as well as small earth resources, thus product recyclability and life cycle assessments must be also considered.
Prof. Dr. Francesco Fabbrocino
Prof. Dr. Ludovic Chamoin
Prof. Dr. Marco Montemurro
Prof. Dr. Luciano Feo
Prof. Dr. Gian Piero Lignola
Prof. Dr. Nicholas Fantuzzi
Guest Editors
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Keywords
- control systems
- data science
- optimization
- civil engineering
- machine learning
- structural design
- automatic learning
- interoperability
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