SDIGLM: leveraging large language models and multimodal chain of thought for structural damage identification
Structural Health Monitoring: An International Journal
Published online on July 27, 2025
Abstract
Structural Health Monitoring, Ahead of Print.
Existing computer vision-based structural damage identification models demonstrate notable accuracy in categorizing and localizing damage. However, these models present several critical limitations that hinder their practical application in structural ...
Existing computer vision-based structural damage identification models demonstrate notable accuracy in categorizing and localizing damage. However, these models present several critical limitations that hinder their practical application in structural ...