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Online Ressourcen
Link zu diesem Datensatz https://d-nb.info/1382048165
Titel 4th International Conference on Structural Health Monitoring and Engineering Structures (SHM&ES 2025) : Advances in Sustainable Engineering and Management: Innovations for Reducing Energy Consumption and Carbon Footprint / edited by Le Thanh Cuong, Nicholas Fantuzzi, Roberto Capozucca, Vu Thi Bich Quyen, Samir Khatir
Person(en) Cuong, Le Thanh (Herausgeber)
Fantuzzi, Nicholas (Herausgeber)
Capozucca, Roberto (Herausgeber)
Quyen, Vu Thi Bich (Herausgeber)
Khatir, Samir (Herausgeber)
Organisation(en) SpringerLink (Online service) (Sonstige)
Ausgabe 1st ed. 2026
Verlag Cham : Springer Nature Switzerland, Imprint: Springer
Zeitliche Einordnung Erscheinungsdatum: 2026
Umfang/Format Online-Ressource, XVII, 1060 p. 474 illus., 402 illus. in color. : online resource.
Andere Ausgabe(n) Printed edition:: ISBN: 978-3-032-04644-4
Printed edition:: ISBN: 978-3-032-04646-8
Printed edition:: ISBN: 978-3-032-04647-5
Inhalt 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
Persistent Identifier URN: urn:nbn:de:101:1-2511200309477.493317310022
DOI: 10.1007/978-3-032-04645-1
URL https://doi.org/10.1007/978-3-032-04645-1
ISBN/Einband/Preis 978-3-032-04645-1
Sprache(n) Englisch (eng)
Beziehungen Lecture Notes in Civil Engineering ; 747
DDC-Notation 620.11 (maschinell ermittelte DDC-Kurznotation)
Sachgruppe(n) 620 Ingenieurwissenschaften und Maschinenbau

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