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Artificial Intelligence in Civil Engineering
Artificial Intelligence in Civil Engineering
0 - Default Title
Description
The chapters present a broad spectrum of applications, including predicting shear wave velocity, slope stability, estimating uniaxial compressive strength of soils, optimization-based design of reinforced concrete retaining walls, structural control strategies for seismic resilience, and the integration of Building Information Modeling (BIM) with AI-driven solutions. Machine learning, deep learning, and metaheuristic algorithms are explored in detail, supported by real-world case studies and experimental data.
By bridging theory with practice, the book highlights how AI enhances predictive accuracy, optimizes design processes, and reduces computational effort in engineering tasks. Researchers, graduate students, and practicing engineers will find this volume a timely reference, offering both methodological foundations and practical insights into AI-powered approaches that are reshaping the future of civil engineering.
Product details
Number of Pages:
552
Release Date:
2026-01-03
Publication Date:
2026-01-03
Publisher:
Springer
Languages:
Original:
English
ISBN10:
3032077370
ISBN13:
9783032077370
GPSR Manufacturer Reference:
Weight:
1085 g
Height:
160 cm
Width:
241 cm
Thickness:
34 cm
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