Structural damage identification using an enhanced thermal exchange optimization algorithm-Reference-Cited by-同舟云学术

Structural damage identification using an enhanced thermal exchange optimization algorithm

Published:2017-05-11 Issue:3 Volume:50 Page:430-451
ISSN:0305-215X
Container-title:Engineering Optimization
language:en
Short-container-title:Engineering Optimization

Author:

Kaveh A.¹,Dadras A.²

Affiliation:

1. Centre of Excellence for Fundamental Studies in Structural Engineering, School of Civil Engineering, Iran University of Science and Technology, Narmak, Tehran, Iran

2. School of Civil Engineering, Iran University of Science and Technology, Narmak, Tehran, Iran

Publisher

Informa UK Limited

Subject

Applied Mathematics,Industrial and Manufacturing Engineering,Management Science and Operations Research,Control and Optimization,Computer Science Applications

Link

https://www.tandfonline.com/doi/pdf/10.1080/0305215X.2017.1318872

Reference38 articles.

1. Damage detection using a new regularization method with variable parameter

2. Ant system: optimization by a colony of cooperating agents

3. Partial discharge detection in transformer using adaptive grey wolf optimizer based acoustic emission technique

4. A new optimizer using particle swarm theory

Cited by 91 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Assessment of ML techniques and suitability to predict the compressive strength of high-performance concrete (HPC);Asian Journal of Civil Engineering;2024-08-13

2. A review on vision-based deep learning techniques for damage detection in bolted joints;Asian Journal of Civil Engineering;2024-08-12

3. Unlocking Resilience: Examining the Influence of Fluid Viscous Dampers on Seismic Performance of Reinforced-concrete Structures in Earthquake-prone Regions;Periodica Polytechnica Civil Engineering;2024-07-25

4. Deep learning based damage detection of concrete structures;Asian Journal of Civil Engineering;2024-07-01

5. Prediction of compressive strength of nano-silica concrete by using random forest algorithm;Asian Journal of Civil Engineering;2024-06-26