Multiscale Finite Element Simulation of Reinforced Concrete

The Impact of Extreme Loading Conditions on Structures and Materials
Erscheinungsjahr 2026
ISBN: 978-0-443-44619-1
Verlag: Elsevier Science

Buch, Englisch, 510 Seiten, Format (B × H): 152 mm x 230 mm, Gewicht: 1000 g

Multiscale Finite Element Simulation of Reinforced Concrete: The Impact of Extreme Loading Conditions on Structures and Materials provides readers with a fully-fledged theoretical framework of multiscale finite element analysis for the performance of reinforced concrete structures under extreme loads. The book updates readers by demonstrating novel methods and the latest developments that have recently been introduced into the field. It includes detailed explanations of advanced modeling techniques, insights into computational methods, clear guidance on their software implementation, theory, practice, and real world case studies and numerical simulations, thus enabling readers to apply advanced finite element analysis techniques to evaluate real-world engineering problems.

In addition, the book discusses engineering challenges, including design optimization, regulatory compliance, and cost-effectiveness.

Autoren/Hrsg.

Long, Xu

Kawkabi, Khaja Wahaajduddin

Iyela, Percy Musesha

Ali, Irfan

Fachgebiete

• Technische Wissenschaften Technik Allgemein Modellierung & Simulation
• Technische Wissenschaften Maschinenbau | Werkstoffkunde Technische Mechanik | Werkstoffkunde Statik, Dynamik, Kinetik, Kinematik
• Technische Wissenschaften Bauingenieurwesen Konstruktiver Ingenieurbau, Baustatik
• Technische Wissenschaften Bauingenieurwesen Mathematische Methoden, Computeranwendungen (Bauingenieurwesen)

Inhaltsverzeichnis

1. Introduction to Multiscale Analysis of Reinforced Concrete Structures
2. Theoretical Framework for Multiscale Finite Element Analysis

3. Mesoscopic Modelling of Concrete Material
4. Material Modelling and Representative Volume Elements (RVEs)
5. Progressive Collapse Analysis of RC Structures
6. Impact and Penetration Analsis of RC Structures
7. Machine Learning Applications in Concrete Modelling
8. Conclusions and Future Directions

Über Autor(innen)

Iyela, Percy Musesha
Percy M. Lyla is a researcher based at the School of Mechanics, Civil Engineering and Architecture, Northwestern Polytechnical University, Xi’an, China. His research interests lie mainly in multi-scale modeling, porous materials, and constitutive damage models

Long, Xu
Dr Xu Long is a Professor at the School of Mechanics, Civil Engineering and Architecture, Northwestern Polytechnical University (NPU), China. His research interests include: the extreme mechanics of materials and structures in the areas of electronic packaging and protective structures for civil defense; multi-field, multi-scale material constitutive and damage models; structural life prediction; and reliability analysis

Kawkabi, Khaja Wahaajduddin
Khaja Wahaajduddin Kawkabi is a researcher based at the School of Mechanics, Civil Engineering and Architecture, Northwestern Polytechnical University, Xi’an, China. His research interests include: bridge-vehicle coupling dynamics and fatigue fracture mechanics of concrete under high cycle fatigue

Ali, Irfan
Irfan Ali is a researcher based at the School of Mechanics, Civil Engineering, and Architecture,Northwestern Polytechnical University, China. His research focuses on the impact and reliability analysis of reinforced concrete (RC) structures