4th International Conference on Structural Health Monitoring and Engineering Structures

Structural Health Monitoring.- Enhancing vibration-based failure identification in beam structures using statistical features and machine learning.- Forecasting the Ultimate Load Capacity of Flat Slabs with Artificial Neural Networks.- Modal strain energy and convolutional neural network-based damage identification in plate-like structures.- Detecting multiple damages in I-section steel beams using an improved mode shape curvature change-based method.- Factors Affecting the Structural Health of French Colonial Architecture in Vietnam.- Compressed Sparse Regression for Anchored Design of Experiments and Sensor Placement in Structure Health Monitoring.- Predicting Building Energy Consumption Considering Climate Change using 6D BIM and Machine Learning.- Optimization of sensor locations for homogeneous beams in structural health monitoring using isogeometric analysis and differential evolution.- An adaptive DNN-assisted metamodel for damage detection of steel frames based on incomplete frequencies and mode shapes with limited training datasets.- TPE-Optimized Neural Network Framework for Predicting Settlement of Nodular Pile Foundations.- Damage detection of trusses utilizing free vibration signals and Convolutional neural network relied on model order reduction.- Monitoring Column and Shear Wall Shortening in High-Rise Buildings.

• Erscheinungsdatum: 19.11.2025
• Autor/Autorin: Le Thanh Cuong
• Reihe: Springer Nature Proceedings excluding Computer Science
• Format: E-Book
• Dateiformat: PDF
• Kopierschutz: Wasserzeichen
• Dateigröße: 87.2 MB
• Verlag: SPRINGER
• Sprache: Englisch
• Umfang: 1060 Seiten
• ISBN: 9783032046451
• Lieferung: Sofort per Download
• Hinweis: Sofort per Download lieferbar. Kein physischer Versand.
• Kompatibilität: Lesbar auf Geräten und Apps mit PDF-Unterstützung.