Structure and Infrastructure Engineering - v. 17, n. 11 (septembre 2021)

Publié:	septembre 2021

Auteur(s)	Titre	Page(s)
Pereira, Renato / Batista, António Lopes / Neves, Luís Canhoto / Casaca, João Martins	À priori uplift pressure model for concrete dam foundations based on piezometric monitoring data	1-12
Dang, Hung V. / Raza, Mohsin / Nguyen, Tung V. / Bui-Tien, T. / Nguyen, Huan X.	Deep learning-based detection of structural damage using time-series data	1-20
He, Xian / Cha, Eun Jeong	DIN II: incorporation of multi-level interdependencies and uncertainties for infrastructure system recovery modeling	1-16
Tong, Chuan / Xu, Yan	Experimental and numerical analysis on the limited ductility of H-shaped concrete cable-stayed bridge tower	1-14
Tan, Chengjun / Zhao, Hua / OBrien, Eugene J. / Uddin, Nasim / Fitzgerald, Paul C. / McGetrick, Patrick J. / Kim, Chul-Woo	Extracting mode shapes from drive-by measurements to detect global and local damage in bridges	1-15
Ahamed, Touhid / Duan, Jennifer G. / Jo, Hongki	Flood-fragility analysis of instream bridges – consideration of flow hydraulics, geotechnical uncertainties, and variable scour depth	1-14
Wang, Ding / Wang, Xiaowen / Xu, Jun / Feng, De-Cheng / Xu, Shan	Framework for calculating seismic fragility function of urban road networks: A case study on Tangshan City, China	1-15
Campbell, Leslie E. / Connor, Robert J. / Whitehead, Julie M. / Washer, Glenn A.	Human factors affecting visual inspection of fatigue cracking in steel bridges	1-12
Li, Xiao / Li, Qiusheng	Monitoring of wind effects on a super-tall building during multiple typhoons and validation of wind tunnel testing techniques	1-17
Gulgec, Nur Sila / Takáč, Martin / Pakzad, Shamim N.	Uncertainty quantification in digital image correlation for experimental evaluation of deep learning based damage diagnostic	1-15

Auteur(s)

Titre

Page(s)

Pereira, Renato / Batista, António Lopes / Neves, Luís Canhoto / Casaca, João Martins

À priori uplift pressure model for concrete dam foundations based on piezometric monitoring data

1-12

Dang, Hung V. / Raza, Mohsin / Nguyen, Tung V. / Bui-Tien, T. / Nguyen, Huan X.

Deep learning-based detection of structural damage using time-series data

1-20

He, Xian / Cha, Eun Jeong

DIN II: incorporation of multi-level interdependencies and uncertainties for infrastructure system recovery modeling

1-16

Tong, Chuan / Xu, Yan

Experimental and numerical analysis on the limited ductility of H-shaped concrete cable-stayed bridge tower

1-14

Tan, Chengjun / Zhao, Hua / OBrien, Eugene J. / Uddin, Nasim / Fitzgerald, Paul C. / McGetrick, Patrick J. / Kim, Chul-Woo

Extracting mode shapes from drive-by measurements to detect global and local damage in bridges

1-15

Ahamed, Touhid / Duan, Jennifer G. / Jo, Hongki

Flood-fragility analysis of instream bridges – consideration of flow hydraulics, geotechnical uncertainties, and variable scour depth

1-14

Wang, Ding / Wang, Xiaowen / Xu, Jun / Feng, De-Cheng / Xu, Shan

Framework for calculating seismic fragility function of urban road networks: A case study on Tangshan City, China

1-15

Campbell, Leslie E. / Connor, Robert J. / Whitehead, Julie M. / Washer, Glenn A.

Human factors affecting visual inspection of fatigue cracking in steel bridges

1-12

Li, Xiao / Li, Qiusheng

Monitoring of wind effects on a super-tall building during multiple typhoons and validation of wind tunnel testing techniques

1-17

Gulgec, Nur Sila / Takáč, Martin / Pakzad, Shamim N.

Uncertainty quantification in digital image correlation for experimental evaluation of deep learning based damage diagnostic

1-15

Publicité

Structure and Infrastructure Engineering - v. 17, n. 11 (septembre 2021)

Articles dans ce numéro

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Structure and Infrastructure Engineering - v. 17, n. 11 (septembre 2021)

Articles dans ce numéro

Vous avez dépassé votre limite de téléchargement mensuelle ! Les abonné·es à Structurae Plus peuvent télécharger 30 images ou ensembles de données par mois. Les utilisateurs·rices de Structurae Pro sont limités à 50.

Données obligatoires

Vous avez dépassé votre limite de téléchargement mensuelle !

Les abonné·es à Structurae Plus peuvent télécharger 30 images ou ensembles de données par mois.
Les utilisateurs·rices de Structurae Pro sont limités à 50.