附註:Includes bibliographical references and index.
Chapter 1. Artificial intelligence-assisted building information modelling -- Chapter 2. Deep learning-based damage inspection for concrete structures -- Chapter 3. Machine learning applications for vibration-based structural healthmonitoring -- Chapter 4. Use of AI and ML algorithms in developing closed-form formulae for structural engineering design -- Chapter 5. A predictive regression model for the shear strength of RC knee joint subjected to cyclic load -- Chapter 6. Predicting the fundamental period of light-frame wooden buildings by employing bat algorithm-based artificial neural network -- Chapter 7. Shear capacity of RC elements with transverse reinforcement through a variable-angle truss modelwith machine-learning-calibrated coefficients -- Chapter 8. Groundwater modelling of the saq aquifer using artificial intelligence and hydraulic simulations -- Chapter 9. Reliability analysis of RC code for predicting load-carrying capacityof RCC walls through ANN -- Chapter 10. The value proposition of machine learning in construction management: exploring the trends in construction 4.0 and beyond -- Chapter 11. Explainable safety risk management in construction with unsupervised learning -- Chapter 12. Enhanced stochastic paint optimizer for nonlinear Design of fuzzy logic controllers in steel building structures for the near-fault earthquakes.
摘要:"This reference book offers state-of-the-art contributions in the area of AI and its applications in the field of civil engineering presenting methods and implementation of AI and machine learning in multiple facets of civil engineering"--
