Leveraging artificial intelligence in engineering, management, and safety of infrastructure. (2022)
- Record Type:
- Book
- Title:
- Leveraging artificial intelligence in engineering, management, and safety of infrastructure. (2022)
- Main Title:
- Leveraging artificial intelligence in engineering, management, and safety of infrastructure
- Further Information:
- Note: Editor, M.Z. Naser.
- Editors:
- Naser, M. Z
- Contents:
- 1. Convolutional Neural Networks and Applications on Civil Infrastructure Onur Avci, Osama Abdeljaber, Serkan Kiranyaz, Turker Ince and Daniel J. Inman 2. Identifying Non-linearity in Construction Workers' Personality: Safety Behaviour Predictive Relationship Using Neural Network and Linear Regression Modelling Yifan Gao, Vicente A. González, Tak Wing Yiu, and Guillermo Cabrera-Guerrero 3. Machine Learning Framework for Predicting Failure Mode and Flexural capacity of FRP-Reinforced Beams Ahmad N. Tarawneh, and Eman F. Saleh 4. A Novel Formulation for Estimating Compressive Strength of High Performance Concrete Using Gene Expression Programming Iman Mansouri, Jale Tezcan, and Paul O. Awoyera 5. Implementation of Data-Driven Approaches for Condition Assessment of Structures and Analyzing Complex Data Vafa Soltangharaei, Li Ai and Paul Ziehl 6. Automatic Detection of Surface Thermal Cracks in Structural Concrete with Numerical Correlation Analysis Diana Andrushia, Anand N., Richard Walls, Daniel Paul T. and Prince Arulraj 7. State-of-the-Art Research in the Area of Artificial Intelligence with Specific Consideration to Civil Infrastructure, Construction Engineering and Management, and Safety Islam H. El-adaway and Rayan H. Assaad 8. Artificial Intelligence in Concrete Materials: A Scientometric View Zhanzhao Li and Aleksandra Radlińska 9. Active Learning Kriging-Based Reliability for Assessing the Safety of Structures: Theory and Application Koosha Khorramian, and Fadi Oudah1. Convolutional Neural Networks and Applications on Civil Infrastructure Onur Avci, Osama Abdeljaber, Serkan Kiranyaz, Turker Ince and Daniel J. Inman 2. Identifying Non-linearity in Construction Workers' Personality: Safety Behaviour Predictive Relationship Using Neural Network and Linear Regression Modelling Yifan Gao, Vicente A. González, Tak Wing Yiu, and Guillermo Cabrera-Guerrero 3. Machine Learning Framework for Predicting Failure Mode and Flexural capacity of FRP-Reinforced Beams Ahmad N. Tarawneh, and Eman F. Saleh 4. A Novel Formulation for Estimating Compressive Strength of High Performance Concrete Using Gene Expression Programming Iman Mansouri, Jale Tezcan, and Paul O. Awoyera 5. Implementation of Data-Driven Approaches for Condition Assessment of Structures and Analyzing Complex Data Vafa Soltangharaei, Li Ai and Paul Ziehl 6. Automatic Detection of Surface Thermal Cracks in Structural Concrete with Numerical Correlation Analysis Diana Andrushia, Anand N., Richard Walls, Daniel Paul T. and Prince Arulraj 7. State-of-the-Art Research in the Area of Artificial Intelligence with Specific Consideration to Civil Infrastructure, Construction Engineering and Management, and Safety Islam H. El-adaway and Rayan H. Assaad 8. Artificial Intelligence in Concrete Materials: A Scientometric View Zhanzhao Li and Aleksandra Radlińska 9. Active Learning Kriging-Based Reliability for Assessing the Safety of Structures: Theory and Application Koosha Khorramian, and Fadi Oudah 10. A Bayesian Estimation Technique for Multilevel Damage Classification in DBHM William Locke, Stefani Mokalled, Omar Abuodeh, Laura Redmond, and Christopher McMahan 11. Machine Learning and IoT Data for Concrete Performance Testing and Analysis Andrew Fahim, Tahmid Mehdi, Ali Taheri, Pouria Ghods, Aali Alizadeh and Sarah De Carufel 12. Knowledge-enhanced Deep Learning for Efficient Response Estimation of Nonlinear Structures Haifeng Wang and Teng Wu 13. Damage Detection in Reinforced Concrete Girders by Finite Element and Artificial Intelligence Synergy Hayder A. Rasheed, Ahmed Al-Rahmani, and AlaaEldin Abouelleil 14. Deep Learning in Transportation Cyber-Physical Systems Zadid Khan, Sakib Mahmud Khan, Mizanur Rahman, Mhafuzul Islam and Mashrur Chowdhury 15. Artificial Intelligence in the Construction Industry: Theory and Emerging Applications for the Future of Work Amir H. Behzadan, Nipun D. Nath and Reza Akhavian 16. The Use of Machine Learning in Heat Transfer Analysis for Structural Fire Engineering Applications Yavor Panev, Tom Parker and Panagiotis Kotsovinos 17. Using Artificial Intelligence to Derive Temperature Dependent Mechanical Properties of Ultra-High Performance Concrete Srishti Banerji 18. Smart Tunnel Fire Safety Management by Sensor Network and Artificial Intelligence Xinyan Huang, Xiqiang Wu, Xiaoning Zhang and Asif Usmani … (more)
- Edition:
- 1st
- Publisher Details:
- Boca Raton : CRC Press
- Publication Date:
- 2022
- Extent:
- 1 online resource
- Subjects:
- 624.1710285
Structural health monitoring -- Data processing
Public works -- Inspection -- Data processing
Artificial intelligence - Languages:
- English
- ISBNs:
- 9781000789058
9781000788990
9780367823467 - Related ISBNs:
- 9780367422103
- Notes:
- Note: Includes bibliographical references and index.
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- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
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- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
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- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.728057
- Ingest File:
- 14_053.xml