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Produktbild: 4th International Conference on Structural Health Monitoring and Engineering Structures (SHM&ES 2025)
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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

Aus der Reihe Lecture Notes in Civil Engineering
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269,99 € UVP 307,99 €

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Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

20.11.2025

Abbildungen

XVII, 1060 p. 474 illus., 402 illus. in color.

Herausgeber

Le Thanh Cuong + weitere

Verlag

Springer

Seitenzahl

1060

Maße (L/B/H)

24,1/16/5,9 cm

Gewicht

1953 g

Sprache

Englisch

ISBN

978-3-032-04644-4

Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

20.11.2025

Abbildungen

XVII, 1060 p. 474 illus., 402 illus. in color.

Herausgeber

Verlag

Springer

Seitenzahl

1060

Maße (L/B/H)

24,1/16/5,9 cm

Gewicht

1953 g

Sprache

Englisch

ISBN

978-3-032-04644-4

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

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  • Produktbild: 4th International Conference on Structural Health Monitoring and Engineering Structures (SHM&ES 2025)

  • 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.