Artificial Intelligence Neural Network Compressive Strength Prediction Of Recycled Aggregate Concrete Samples
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Artificial Intelligence Neural Network Compressive Strength Prediction Of Recycled Aggregate Concrete Samples
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Author : Abdelaziz Nijem
language : en
Publisher:
Release Date : 2020
Artificial Intelligence Neural Network Compressive Strength Prediction Of Recycled Aggregate Concrete Samples written by Abdelaziz Nijem and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with categories.
Old and demolished structures profusely exist in landfills because they are not being recycled frequently nor being employed correctly. This leads to an increase of construction and demolished wastes (C&D). These demolished structures and blocks can be broken down into smaller components to serve as aggregates (which are called recycled aggregates). Recycled aggregates are not being used regularly because they sometimes have detrimental influence on the compressive strength of concrete. Recycled concrete aggregate (RCA) reduces compressive strength of the concrete samples due to absorption issues related to the type, and age of the old concrete. Increase in water absorption levels leads to reduction in the compressive strength. If this issue is resolved, consumption of natural resources would decrease, and the use of recycled aggregate would increase which has beneficial reflection on the economy and the environment. The objective of this research was to develop a model to predict the compressive strength of concrete containing different percentages of RCA. This research studied the physical properties that reduce compressive strength, and even included the parameters that are aligned to the concrete mixture and treated them as input parameters in a prediction model. The model was created using artificial intelligence neural network. The built model included a specific prediction algorithm which was Bayesian Regularization Backpropagation which can deal with many types of data, even those of the random type. Although, the data was considered as non-linear, the Bayesian probability algorithm was able to determine the pattern between the data and reduce the error by using the error function which was Mean Squared Error. The experimental data was collected from previous published research works in literature. The collection of the data and the evaluation of the model were both built upon specific criteria. The training results showed the success of the model. The model can be used as a tool by engineers to calculate compressive strength when recycled aggregates are added by entering the physical properties of the mixture. The work done here can be extended in the future to cover optimization of mechanical properties of concrete containing RCA.
2nd International Conference On Smart Sustainable Materials And Technologies Icssmt 2023
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Author : M. Sumesh
language : en
Publisher: Springer Nature
Release Date : 2024-03-16
2nd International Conference On Smart Sustainable Materials And Technologies Icssmt 2023 written by M. Sumesh and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-16 with Technology & Engineering categories.
Sustainable materials science and engineering is one of the important characteristics of the existing high-tech revolution. The advances of materials science pave way for technical advancements in materials science and industrial technologies throughout the world. Materials are regarded as critical component in all emerging industries. Exquisite preparation and manufacturing must be carried out before a new material may be used. Nevertheless, electronic materials are undeniably important in many aspects of life. Smart materials and structures is a multi-disciplinary platform dedicated to technical advances in smart materials, systems and structures, including intelligent materials, sensing and actuation, adaptive structures, and active control. Recently, sustainable materials and technologies reshape the electronics industry to build realistic applications. At present, without the impact of sustainability, the electronics industry faces challenges. Researchers are now more focused on understanding the fundamental science of nano, micro, and macro-scale aspects of materials and technologies for sustainable development with a special attention toward reducing the knowledge gap between materials and system designs. The main aim of this international conference is to address the new trends on smart sustainable materials field for industrial and electronics applications. The main purpose of this conference is to assess the recent development in the applied science involving research activity from micro- to macro-scale aspects of materials and technologies for sustainable applications. In such a context, particular emphasis is given to research papers tailored in order to improve electronic and industrial applications and market extension of sustainable materials.
Artificial Intelligence In Nondestructive Testing Of Civil Engineering Materials
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Author : Juncai Xu
language : en
Publisher: Frontiers Media SA
Release Date : 2021-11-23
Artificial Intelligence In Nondestructive Testing Of Civil Engineering Materials written by Juncai Xu and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-23 with Technology & Engineering categories.
Research Anthology On Machine Learning Techniques Methods And Applications
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Author : Management Association, Information Resources
language : en
Publisher: IGI Global
Release Date : 2022-05-13
Research Anthology On Machine Learning Techniques Methods And Applications written by Management Association, Information Resources and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-13 with Computers categories.
Machine learning continues to have myriad applications across industries and fields. To ensure this technology is utilized appropriately and to its full potential, organizations must better understand exactly how and where it can be adapted. Further study on the applications of machine learning is required to discover its best practices, challenges, and strategies. The Research Anthology on Machine Learning Techniques, Methods, and Applications provides a thorough consideration of the innovative and emerging research within the area of machine learning. The book discusses how the technology has been used in the past as well as potential ways it can be used in the future to ensure industries continue to develop and grow. Covering a range of topics such as artificial intelligence, deep learning, cybersecurity, and robotics, this major reference work is ideal for computer scientists, managers, researchers, scholars, practitioners, academicians, instructors, and students.
Cigos 2021 Emerging Technologies And Applications For Green Infrastructure
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Author : Cuong Ha-Minh
language : en
Publisher: Springer Nature
Release Date : 2021-10-28
Cigos 2021 Emerging Technologies And Applications For Green Infrastructure written by Cuong Ha-Minh and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-28 with Science categories.
This book highlights the key role of green infrastructure (GI) in providing natural and ecosystem solutions, helping alleviate many of the environmental, social, and economic problems caused by rapid urbanization. The book gathers the emerging technologies and applications in various disciplines involving geotechnics, civil engineering, and structures, which are presented in numerous high-quality papers by worldwide researchers, practitioners, policymakers, and entrepreneurs at the 6th CIGOS event, 2021. Moreover, by sharing knowledge and experiences around emerging GI technologies and policy issues, the book aims at encouraging adoption of GI technologies as well as building capacity for implementing GI practices at all scales. This book is useful for researchers and professionals in designing, building, and managing sustainable buildings and infrastructure.
Fiber Reinforced Polymeric Materials And Sustainable Structures
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Author : Shamsher Bahadur Singh
language : en
Publisher: Springer Nature
Release Date : 2023-03-01
Fiber Reinforced Polymeric Materials And Sustainable Structures written by Shamsher Bahadur Singh and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-01 with Technology & Engineering categories.
This book deals with the introduction of various kinds of advanced composite materials such as carbon fiber-reinforced polymer (CFRP), glass fiber-reinforced polymer (GFRP), aramid fiber-reinforced polymer (AFRP), and basalt fiber-reinforced polymer (BFRP). This book covers the advantages and disadvantages of these advanced composite materials. The primary advantages, such as high specific strength and stiffness, of advance composite materials result in lighter and durable structures. On the other hand, its linear elastic behavior till failure has been highlighted as the main disadvantage for their structural applications. This book also highlights the various forms in which the FRP components are tailored and stacked up to optimize its strength and stiffness to deliver the high-performance structural as well as non-structural components in its real-life application. The various forms in which FRP materials are developed are described such as uni-directional, cross-ply, angle-ply, hybrid, and functionally graded composites. In addition, various forms in which these materials stacked and/ bonded to fabricate the various structural and non-structural components are described. Most importantly, techniques to extract plant-based cellulosic fibers and its application to fabricate the various forms of sustainable composite products are described. In addition, development of nano-particle-enforced cellulosic fibers for sustainable industrial products has also been presented. Furthermore, the use of advanced composites and natural fiber-based composites has been demonstrated for repair, rehabilitation, and retrofitting of deficient structural systems. Moreover, the comprehensive overview of the state-of-the-art research on the test methods for material characterization at room and elevated temperature is presented which will be of high interest to scientists, researchers, students, and engineers working in the fields of composite materials such as FRPs and other forms of composites such as fiber-reinforced concrete (FRC). This book is also helpful for undergraduate, masters, and most importantly Ph.D. research scholars for developing their fundamental understanding on advanced composite materials and their applications in construction as well as industrial sectors.
Non Bf Slag Based Green Cementitious Materials
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Author : Lijie Guo
language : en
Publisher: Frontiers Media SA
Release Date : 2022-08-12
Non Bf Slag Based Green Cementitious Materials written by Lijie Guo and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-08-12 with Technology & Engineering categories.
Sustainable Fiber Reinforced Cementitious Composites For Construction And Building Materials
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Author : Li Li
language : en
Publisher: Frontiers Media SA
Release Date : 2023-07-26
Sustainable Fiber Reinforced Cementitious Composites For Construction And Building Materials written by Li Li and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-26 with Technology & Engineering categories.
Applications Of Computational Intelligence In Concrete Technology
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Author : Sakshi Gupta
language : en
Publisher: CRC Press
Release Date : 2022-06-23
Applications Of Computational Intelligence In Concrete Technology written by Sakshi Gupta and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-23 with Technology & Engineering categories.
Computational intelligence (CI) in concrete technology has not yet been fully explored worldwide because of some limitations in data sets. This book discusses the selection and separation of data sets, performance evaluation parameters for different types of concrete and related materials, and sensitivity analysis related to various CI techniques. Fundamental concepts and essential analysis for CI techniques such as artificial neural network, fuzzy system, support vector machine, and how they work together for resolving real-life problems, are explained. Features: It is the first book on this fast-growing research field. It discusses the use of various computation intelligence techniques in concrete technology applications. It explains the effectiveness of the methods used and the wide range of available techniques. It integrates a wide range of disciplines from civil engineering, construction technology, and concrete technology to computation intelligence, soft computing, data science, computer science, and so on. It brings together the experiences of contributors from around the world who are doing research in this field and explores the different aspects of their research. The technical content included is beneficial for researchers as well as practicing engineers in the concrete and construction industry.
Machine Learning Applications In Civil Engineering
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Author : Yasmin Murad
language : en
Publisher: Frontiers Media SA
Release Date : 2022-12-16
Machine Learning Applications In Civil Engineering written by Yasmin Murad and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-12-16 with Technology & Engineering categories.