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Artificial Intelligence in Structural Engineering

Proceedings of the ARTISTE 2025 International Conference

Medium: Buch
ISBN: 978-3-032-26084-0
Verlag: Springer Nature Switzerland AG
Erscheinungstermin: 10.08.2026
vorbestellbar, Erscheinungstermin ca. August 2026

This book gathers the proceedings of the 1st International Conference on Artificial Intelligence in Structural Engineering (ARTISTE), held in Turin, Italy, on September 14–17, 2025. It covers topics such as probabilistic Digital Twins in Structural Health Monitoring, Machine Learning techniques in uncertainty quantification in structural engineering, data-driven and AI-assisted evaluation and design of cement-based materials and structures, AI approaches in structural optimization and control, structural identification and knowledge transfer for civil engineering applications, analysis and design of shell and spatial structures, hybrid AI strategies in seismic engineering, intelligent non-destructive testing and evaluation for structures, AI approaches for seismic risk assessment and mitigation of structures, graphs for structural engineering, smart engineering for circular steel structures, integrated architectural and structural design through AI-guided generative processes and bio-inspired optimization.


Produkteigenschaften


  • Artikelnummer: 9783032260840
  • Medium: Buch
  • ISBN: 978-3-032-26084-0
  • Verlag: Springer Nature Switzerland AG
  • Erscheinungstermin: 10.08.2026
  • Sprache(n): Englisch
  • Auflage: Erscheinungsjahr 2026
  • Serie: Lecture Notes in Civil Engineering
  • Produktform: Gebunden
  • Seiten: 614
  • Format (B x H): 155 x 235 mm
  • Ausgabetyp: Kein, Unbekannt
Autoren/Hrsg.

Herausgeber

Preliminary results of the Bridge Risk Identification with Data-driven Geospatial Evaluation (BRIDGE) project.- Computer vision-based characterization of crack patterns in existing RC bridges: proposal of a framework.- Genetic Algorithm-Assisted Framework for Digital Twin Model Updating of Bridges.- Integrated Structural Health Monitoring of the A21 Po River Bridge Using In-Situ Sensors and Satellite Data.- Assessing the Exedra Hall Digital Twin with a Recorded Urban Blast.- etc.