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Development Of Regression Models For Predicting Properties Of High Strength Concrete Using Non Destructive Tests


Development Of Regression Models For Predicting Properties Of High Strength Concrete Using Non Destructive Tests
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Development Of Regression Models For Predicting Properties Of High Strength Concrete Using Non Destructive Tests


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.



Recent Advances In Infrastructure Development And Management Volume 2


Recent Advances In Infrastructure Development And Management Volume 2
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Author : Y K Guruprasad
language : en
Publisher: Springer Nature
Release Date : 2025-08-11

Recent Advances In Infrastructure Development And Management Volume 2 written by Y K Guruprasad and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-11 with Technology & Engineering categories.


This book presents select proceedings of Modern Trends in Civil Engineering Infrastructure Development & Management (MTCEIDM 2023). It sheds light on the current research on the applications of innovative tools and technologies in solving real-life civil engineering problems. The book presents the application of such new technologies in various domains including, but not limited to, structural health monitoring, infrastructure and retrofitting, futuristic and sustainable materials, analysis and design of mega-structures, foundation design and safety assessment of structures and hydraulic and transportation structures. This book would be a valuable resource for researchers and professionals dealing with innovative technologies in the field of infrastructure development and infrastructure management.



Artificial Intelligence In Nondestructive Testing Of Civil Engineering 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.




Advances In Artificial Intelligence And Machine Learning In Big Data Processing


Advances In Artificial Intelligence And Machine Learning In Big Data Processing
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Author : R. Geetha
language : en
Publisher: Springer Nature
Release Date : 2024-09-30

Advances In Artificial Intelligence And Machine Learning In Big Data Processing written by R. Geetha and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-30 with Computers categories.


This book constitutes the refereed proceedings of the First International Conference on Advances in Artificial Intelligence & Machine Learning in Big Data Processing, AAIMB 2023, held in Chennai, India, during August 17–18, 2023. The 51 full papers presented were carefully reviewed and selected from 183 submissions. They were organized in the following topical sections: Part I- artificial intelligence and data analytics; deep learning. Part II- artificial intelligence and data analytics; machine learning.



Mechcomp2


Mechcomp2
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Author : Antonio J.M. Ferreira
language : en
Publisher: Società Editrice Esculapio
Release Date : 2016-05-20

Mechcomp2 written by Antonio J.M. Ferreira and has been published by Società Editrice Esculapio this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-05-20 with Technology & Engineering categories.


Composites materials have aroused a great interest over the last few decades. Several applications of fibrous composites, functionally graded materials, laminated composites, nano-structured reinforcements, morphing structures, can be found in many engineering fields, such as aerospace, mechanical, naval and civil engineering. The necessity of lightweight structures, smart and adaptive systems, high-level strength, have led both the academic research and the manufacturing development to a recurring employment of these materials. Many journal papers and technical notes have been published extensively over the last seventy years in international scientific journals of different engineering fields. For this reason, the establishment of this second edition of Mechanics of Composites International Conference has appeared appropriate to continue what has been begun during the first edition occurred in 2014 at Stony Brook University (USA). MECHCOMP wants to be an occasion for many researchers from each part of the globe to meet and discuss about the recent advancements regarding the use of composite structures. As a proof of this event, which has taken place in Porto (Portugal), selected plenary and key-note lectures have been collected in the present book.



Applications Of Computational Intelligence In Concrete Technology


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.



Manufacturing Science And Materials Engineering


Manufacturing Science And Materials Engineering
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Author : Li Jian
language : en
Publisher: Trans Tech Publications Ltd
Release Date : 2012-01-03

Manufacturing Science And Materials Engineering written by Li Jian 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 2012-01-03 with Technology & Engineering categories.


Selected, peer reviewed papers from the 2010 International Conference on Manufacturing Science and Materials Engineering, (ICMSME 2011), October 14-15, 2011, Shanghai, China



Smart Technologies For Sustainable Development


Smart Technologies For Sustainable Development
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Author : Sanjay Kumar Shukla
language : en
Publisher: Springer Nature
Release Date : 2020-10-13

Smart Technologies For Sustainable Development written by Sanjay Kumar Shukla and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-13 with Technology & Engineering categories.


This book presents select papers from the International Conference on Smart Materials and Techniques for Sustainable Development (SMTS) 2019. The contents focus on a wide range of methods and techniques related to sustainable development fields like smart structures and materials, innovation in water resource development, optical fiber communication, green construction materials, optimization and innovation in structural design, structural dynamics and earthquake engineering, structural health monitoring, nanomaterials, nanotechnology and sensors, smart biomaterials and medical devices, materials for energy conversion and storage devices, and IoT in sustainable development. This book aims to provide up-to-date and authoritative knowledge from both industrial and academic worlds, sharing best practice in the field of smart materials analysis. The contents of this book will be beneficial to students, researchers, and professionals working in the field of smart materials and sustainable development.



Tailored Functional Materials


Tailored Functional Materials
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Author : Kalisadhan Mukherjee
language : en
Publisher: Springer Nature
Release Date : 2022-09-15

Tailored Functional Materials written by Kalisadhan Mukherjee and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-15 with Technology & Engineering categories.


This book presents the select proceedings of the International Symposium entitled “Materials of the Millennium: Emerging Trends and Future Prospects” (MMETFP 2021). It discusses the synthesis, tailoring, and characterization of different materials for functional applications in various sectors which include but not limited to energy, environment, biomedical/ health care, construction, transportation etc. Topics covered in this book are synthesis and characterization of polymers, ceramics, composites, biomaterials, carbon-based nanostructures as well as materials for green environment, structural materials, modeling and simulation of materials. The book also covers the topic of emerging trends in nanostructured materials, thin films, and devices. The book is useful for students, researchers, and professionals working in the various areas of materials science and engineering.



Structural Health Monitoring Shm Of Civil Structures


Structural Health Monitoring Shm Of Civil Structures
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Author : Gangbing Song
language : en
Publisher: MDPI
Release Date : 2018-04-20

Structural Health Monitoring Shm Of Civil Structures written by Gangbing Song and has been published by MDPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-04-20 with Business & Economics categories.


This book is a printed edition of the Special Issue "Structural Health Monitoring (SHM) of Civil Structures" that was published in Applied Sciences