A Hybrid Data-Model and AI-Driven Approach for Structural Monitoring in Hazardous Construction A Hybrid Data-Model and AI-Driven Approach for Structural Monitoring in Hazardous Construction

A Hybrid Data-Model and AI-Driven Approach for Structural Monitoring in Hazardous Construction

Qiang Li y otros

Descripción editorial

This open access book addresses a critical challenge in modern construction: ensuring the safety of hazardous and complex engineering structures, such as super-tall buildings and large-span structures characterized by their slenderness and scale. The widespread use of these critical structures necessitates advanced safety monitoring and early warning systems. Traditional data-driven methods often fall short in meeting the demands for real-time, accurate, and proactive alerts under complex construction environments and extreme conditions. Therefore, research into hybrid data-model driven monitoring and early-warning technologies holds significant engineering importance.

GÉNERO
Técnicos y profesionales
PUBLICADO
2026
9 de abril
IDIOMA
EN
Inglés
EXTENSIÓN
129
Páginas
EDITORIAL
Springer Nature Singapore
VENDEDOR
Springer Nature B.V.
TAMAÑO
43.1
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