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 and Others

Publisher Description

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.

GENRE
Professional & Technical
RELEASED
2026
April 9
LANGUAGE
EN
English
LENGTH
129
Pages
PUBLISHER
Springer Nature Singapore
SELLER
Springer Nature B.V.
SIZE
43.1
MB
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