Estimation Of 28 Day Compressive Strength Of High Strength Concrete Based On 7 Day Compressive Strength With Artificial Neural Network And Regression Methods And Results Comparison
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Estimation Of 28 Day Compressive Strength Of High Strength Concrete Based On 7 Day Compressive Strength With Artificial Neural Network And Regression Methods And Results Comparison
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Author : Fathollah Sajedi
language : en
Publisher:
Release Date : 2009
Estimation Of 28 Day Compressive Strength Of High Strength Concrete Based On 7 Day Compressive Strength With Artificial Neural Network And Regression Methods And Results Comparison written by Fathollah Sajedi and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with High strength concrete categories.
Proceedings Of The 26th Australasian Conference On The Mechanics Of Structures And Materials
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Author : Nawawi Chouw
language : en
Publisher: Springer Nature
Release Date : 2024-09-02
Proceedings Of The 26th Australasian Conference On The Mechanics Of Structures And Materials written by Nawawi Chouw and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-02 with Science categories.
This book presents peer reviewed articles from The 26th Australasian Conference on the Mechanics of Structures and Materials (ACMSM26) held in December 2023 at the University of Auckland in New Zealand. Bringing together international experts and leaders to disseminate recent research findings in the fields of structural mechanics, civil engineering and materials, it offers a forum for participants from around the world to review, discuss, and present the latest developments in the broad discipline of mechanics and materials in civil engineering.
Proceedings Of The Canadian Society Of Civil Engineering Annual Conference 2022
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Author : Rishi Gupta
language : en
Publisher: Springer Nature
Release Date : 2024-02-05
Proceedings Of The Canadian Society Of Civil Engineering Annual Conference 2022 written by Rishi Gupta and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-05 with Technology & Engineering categories.
This book comprises the proceedings of the Annual Conference of the Canadian Society of Civil Engineering 2022. The contents of this volume focus on specialty conferences in construction, environmental, hydrotechnical, materials, structures, transportation engineering, etc. This volume will prove a valuable resource for those in academia and industry.
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.
Digital Transformation In The Construction Industry
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Author : Ehsan Noroozinejad Farsangi
language : en
Publisher: Woodhead Publishing
Release Date : 2025-05-16
Digital Transformation In The Construction Industry written by Ehsan Noroozinejad Farsangi and has been published by Woodhead Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-16 with Technology & Engineering categories.
Digital Transformation in the Construction Industry: Sustainability, Resilience, and Data-Centric Engineering delivers timely and much sought-after guidance related to novel, digital-first practices and the latest technological tools, the gradual adoption of which is being embraced to significantly reshape the way buildings and other infrastructure assets are designed, constructed, operated, and maintained.Methodological and practice-informed investigations by scholars and researchers from across the globe, providing a wealth of knowledge relevant for, and applicable to, different geographical and economic contexts, are coherently collated in this edited volume. This systematic analysis of cutting-edge developments (such as Building Information Modeling, Internet of Things, Artificial Intelligence, Machine Learning, Big Data, Augmented Reality, Virtual Reality, 3D Printing, and Structural Health Monitoring) is accompanied by discussions on challenges and opportunities that digitalization engenders. Additionally, real-word case studies enrich the coverage, highlighting how these innovative solutions can contribute to establishing working efficiencies that can at the same time aid the impactful realization of globally recognized sustainability goals.Readers in both academic and professional settings are, therefore, not only equipped with a comprehensive overview of the state of the art but also offered an insightful reference resource for future works in the area. - Covers emerging technologies comprehensively - Emphasizes the use of digital tools to support achievements for worldwide net zero targets - Focuses on lean and agile construction practices to improve project efficiency and reduce waste
Civil Engineering Architecture And Sustainable Infrastructure Ii
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Author : Shun Bo Zhao
language : en
Publisher: Trans Tech Publications Ltd
Release Date : 2013-10-15
Civil Engineering Architecture And Sustainable Infrastructure Ii written by Shun Bo Zhao and has been published by Trans Tech Publications Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-10-15 with Technology & Engineering categories.
Selected, peer reviewed papers from the 2nd International Conference on Civil Engineering, Architecture and Sustainable Infrastructure (ICCEASI 2013), July 13-15, 2013, Zhengzhou, China
Aci Structural Journal
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Author :
language : en
Publisher:
Release Date : 2009
Aci Structural Journal written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with Concrete categories.
Prediction Of 28 Day Compressive Strength Of Concrete Using Relevance Vector Machines Rvm
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Author : Jones Owusu Twumasi
language : en
Publisher:
Release Date : 2013
Prediction Of 28 Day Compressive Strength Of Concrete Using Relevance Vector Machines Rvm written by Jones Owusu Twumasi and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with categories.
Early and accurate prediction of the compressive strength of concrete is important in the construction industry. Modeling the compressive strength of concrete to obtain a balance and equality between prediction accuracy, time and uncertainty of the prediction is a very difficult task due to the highly nonlinear nature of concrete. For structural engineering purposes, the 28- day compressive strength is the most relevant parameter. In this study, an attempt has been made to predict the 28-day compressive strength of concrete using Relevance Vector Machine (RVM). An RVM belongs to the class of sparse kernel classifiers, which are powerful tools in classification and regression. It has a model of identical functional form to the popular and state-of-the-art Support Vector Machine (SVM). The benefits of using RVM include automatic estimation of nuisance parameters, probabilistic prediction and the ability to model complex data with little information. A total of 425 different data of high performance mix designs were collected from the University of California, Irvine repository. The data used to predict the compressive strength consisted of nine components. The RVM model was trained and tested using 395 and 30 data sets respectively. The model's performance was assessed at the end of the training and testing period using four performance measures; coefficient of determination, root-mean-square error, percentage of relevance vectors and residual plots. All the performance measures confirmed the accuracy of the model. The results of the study suggested that RVM is an effective tool for predicting the 28- day compressive strength of concrete from its mix ingredients.
Relation Of 7 Day To 28 Day Compressive Strength Of Mortar And Concrete
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Author : John Whittemore Gowen
language : en
Publisher:
Release Date : 1926
Relation Of 7 Day To 28 Day Compressive Strength Of Mortar And Concrete written by John Whittemore Gowen and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1926 with Concrete categories.
Development Of Regression Models For Predicting Properties Of High Strength Concrete Using Non Destructive Tests
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Author : Shibli Russel Mohiuddin Khan
language : en
Publisher:
Release Date : 2007
Development Of Regression Models For Predicting Properties Of High Strength Concrete Using Non Destructive Tests written by Shibli Russel Mohiuddin Khan and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with categories.
High strength concrete (HSC) is a relatively recent development in concrete technology. It is being used increasingly in major civil engineering and building projects. This leads to the need for quality assurance of the in-situ concrete. Testing of concrete traditionally involved compression testing of cylinders or cubes to obtain the properties and these may not adequately represent the in-situ properties of concrete. This necessitates the use of non-destructive test (NDT). There are no standard relationships that had been established for high strength concrete physical and mechanical properties using Sclerometer test, Ultrasonic Pulse Velocity (UPV) methods and Pullout test. Prediction models need to be developed for concrete strength, density and static elastic modulus estimation. They are normally required in building or structural assessment, especially with the present trend of constructing modern structures using high strength concrete. Eight different mix proportions of HSC containing sandstone aggregate of nominal sizes of 10 mm and 19 mm and silica fume content were investigated in this study. The silica fume contents were varied at 0%, 5%, 10% and 15%. These mixes produced concrete at 28-day strength between 40 MPa to 100 MPa. A total of 360 standard cubes (150 mm), 144 cylinders (150 x 300 mm) and 16 reinforced beams were cast for this study. A total of forty-five standard cube specimens for each mix were tested at the age of 3, 7, 14, 28 and 56 days in both, nondestructive and destructive manner. On the other hand, eighteen cylinder specimens for each mix were tested at the age of 28 and 56 days in both, nondestructive and destructive manner. As for the pullout test some forty-five inserts were prepared for each mix at the age of 3, 7, 14, 28 and 56 days. For each destructive test, an average of 45 values of nondestructive tests was obtained, which depends on the type of NDT techniques used. The results were analyzed using statistical tools (SPSS ver.13). The prediction models for each NDT technique were developed based on the obtained experimental results. Statistical tests of significance on the predicted models were performed to ascertain their reliability in estimating the concrete properties. Predicted models were also further validated using data from other researchers. The models developed in this study are expected to be used to estimate strength, density and static elastic modulus parameters using Sclerometer test, UPV method and Pullout test. The generalized power models for strength, density and modulus of elasticity prediction using Sclerometer and Pullout test were found to be unaffected by the aggregate sizes. The maximum error of these models were found to be ±12.5% for strength-Sclerometer test, ±25% for strength-Pullout test, ±3% for density-Sclerometer test, ±2% for density-Pullout test and 5%± for static elastic modulus-Sclerometer test. Strength, density and static modulus of elasticity prediction for direct and indirect UPV methods indicated that aggregate sizes should be known in advance. Generalized quadratic models were proposed for concrete mix with nominal aggregate size 10 mm (series A10) for strength, density and modulus of elasticity prediction using UPV direct method. The maximum error of these models was found to be ±20% for strength, ±3% and ±5% for density and static modulus of elasticity respectively. A linear model for strength, a power model for density and a logarithmic model for static elastic modulus was proposed fro 19 mm maximum aggregate size. The quadratic models are valid for pulse velocity range between 4.7 to 6.1 km/sec and the other models are 4.3 to 5.5 km/sec. All of these models are found to be capable of predicting strength between 30 to 110 MPa, density between 2320 to 2525 kg/m3 and elas modulus between 29 to 40 GPa. Combined NDT methods were found to improve some of strength prediction. Statistical significant tests on the prediction models have been carried out to ascertain their reliability in estimating strength, density and elastic modulus properties of concrete. Moreover, validation of the predicted models with other researchers further enhances reliability of each model. Thus, the proposed models for different NDT techniques can be used as a practical guide in the assessment of in-situ concrete properties.