0

DE
EN
FR
Internationale Datenbank und Galerie für Ingenieurbauwerke

Anzeige

Computer-Aided Civil and Infrastructure Engineering - v. 39, n. 4 (November 2023)

Erschienen:	November 2023

Artikel in dieser Ausgabe

Autor(en)	Titel	Seite(n)
Chu, Honghu / Chun, Pang‐jo	Fine‐grained crack segmentation for high‐resolution images via a multiscale cascaded network	575-594
Bazrafshan, Pedram / On, Thinh / Basereh, Sina / Okumus, Pinar / Ebrahimkhanlou, Arvin	A graph‐based method for quantifying crack patterns on reinforced concrete shear walls	498-517
Li, Kai / Pan, Lei / Guo, Xiaohui / Wang, Yuan Feng	Hybrid random aggregation model and Bayesian optimization‐based convolutional neural network for estimating the concrete compressive strength	559-574
Bodnar, Bastien / Larbi, Walid / Titirla, Magdalini / Deü, Jean‐François / Gatuingt, Fabrice / Ragueneau, Frédéric	Hyper‐reduced order models for accelerating parametric analyses on reinforced concrete structures subjected to earthquakes	476-497
Chu, Honghu / Long, Lizhi / Guo, Jingjing / Yuan, Huaqing / Deng, Lu	Implicit function‐based continuous representation for meticulous segmentation of cracks from high‐resolution images	539-558
Sun, Lixiang / Yang, Yixin / Zhou, Guoxiong / Chen, Aibin / Zhang, Yukai / Cai, Weiwei / Li, Liujun	An integration–competition network for bridge crack segmentation under complex scenes	617-634
Fei, Yifan / Liao, Wenjie / Lu, Xinzheng / Guan, Hong	Knowledge‐enhanced graph neural networks for construction material quantity estimation of reinforced concrete buildings	518-538
Lee, Chang Seok / Mangalathu, Sujith / Jeon, Jong‐Su	Machine learning–assisted drift capacity prediction models for reinforced concrete columns with shape memory alloy bars	595-616

Über diese
Datenseite
IssueID
72083
Veröffentlicht am:
15.03.2024
Geändert am:
15.03.2024

Anzeige

Anzeige

Structurae kooperiert mit

International Association for Bridge and Structural Engineering (IABSE)

e-mosty Magazine

e-BrIM Magazine

Anzeige