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Bücher Englische Bücher Wissen & Bildung Naturwissenschaft, Medizin, Informatik, Technik Technik Bau- und Umwelttechnik A Hybrid Data-Model and AI-Driven Approach for Structural Monitoring in Hazardous Construction
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A Hybrid Data-Model and AI-Driven Approach for Structural Monitoring in Hazardous Construction
Qiang Li, Peixuan Wang, Bawar Iftikhar, Yan Jiang, Mingfeng Huang (Gebundene Ausgabe, Englisch)
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Beschreibung
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. (1) Hybrid Data-Model Driven Theory: A foundational framework is established, analyzing core models like Convolutional Neural Networks (CNN), Bidirectional Long Short-Term Memory networks (BiLSTM), and AdaBoost. A novel CNN-BiLSTM-AdaBoost hybrid prediction model is proposed, along with an overall implementation framework. (2) Hybrid-Driven Prediction for Tower Crane Response under Typhoons: A hybrid method is developed to predict tower crane displacement under extreme typhoons. An IoT-based monitoring system collects real-world data, while a Finite Element Method (FEM) model supplements extreme-scenario data. Predictions using pure data-driven and hybrid methods are compared. (3) Real-Time Displacement Monitoring for High-Formwork Using Computer Vision: The M-DAVIM vision-based method is investigated. Controlled experiments quantify the impact of factors like light intensity, fog, camera angle, and vibration on measurement accuracy. Deployed at a real construction site in Ningbo, the system achieved sub-millimeter accuracy under optimal conditions (illuminance: 200-400 lux, target size >18 pixels) and demonstrated strong robustness, enabling real-time tracking of key nodal displacements. (4) Hybrid-Driven Warning Threshold Update & Short-Term Response Prediction for High-Formwork: A three-module framework is proposed: a vision system for monitoring, a hybrid module for determining and dynamically updating safety warning thresholds, and a prediction module using the CNN-BiLSTM-Adaboost algorithm for one-hour-ahead displacement forecasting and construction load inversion. Dieses Produkt haben wir gerade leider nicht auf Lager.
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Technische Daten
Erscheinungsdatum
25.05.2026
Sprache
Englisch
EAN
9789819586875
Herausgeber
Springer Singapore
Sonderedition
Nein
Autor
Qiang Li, Peixuan Wang, Bawar Iftikhar, Yan Jiang, Mingfeng Huang
Seitenanzahl
119
Einbandart
Gebundene Ausgabe
Einbandart Details
Fadenbindung
Schlagwörter
Open Access, hybrid data-model approach, CNN-BiLSTM-AdaBoost, tower crane, high-formwork support system, computer vision, monitoring threshold update, response prediction
Thema-Inhalt
TNK - Hochbau und Baustoffe
TNKF - Brandschutz und -sicherheit
Höhe
235 mm
Breite
15.5 cm
Hersteller: Springer Nature Singapore, ProductSafety@springernature.com, Springer Nature Customer Service Center GmbH
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