Výsledky vyhledávání - "Allahdadian, Saeid"

Dissertation/ Thesis

Robust statistical subspace-based damage assessment

Autor: Allahdadian, Saeid

The rapid spread and increasing affordability of sensors, are encouraging the government and stake-holders to instrument important infra-structures and structures. These sensors generate vast amount of data which can be used in real-time health monit

Externí odkaz: http://hdl.handle.net/2429/62148

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Akademický článek

Output-only damage diagnosis for plan-symmetric buildings with asymmetric damage using modal flexibility-based deflections

Autor: Bernagozzi, Giacomo, Ventura, Carlos E., Allahdadian, Saeid, Kaya, Yavuz, Landi, Luca, Diotallevi, Pier Paolo

Publikováno v: In Engineering Structures 15 March 2020 207

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Akademický článek

Towards robust statistical damage localization via model-based sensitivity clustering

Autor: Allahdadian, Saeid, Döhler, Michael, Ventura, Carlos, Mevel, Laurent

Publikováno v: In Mechanical Systems and Signal Processing 1 December 2019 134

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Subspace based damage detection technique: investigation on the effect of number of samples

Autor: Allahdadian, Saeid, Ventura, Carlos, Andersen, Palle, Mevel, Laurent, Döhler, Michael

Publikováno v: CCEE-11th Canadian Conference on Earthquake Engineering
CCEE-11th Canadian Conference on Earthquake Engineering, Jul 2015, Victoria, BC, Canada

International audience; Damage detection techniques are the main tool in health monitoring to assess the functionality of structures. Among these techniques, statistical subspace-based damage detection technique is a robust method to evaluate the con

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::843b1568cf229ee8a960fad74ecf6e19
https://hal.inria.fr/hal-01166890/document

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Kniha

On the Influence of Sample Length and Measurement Noise on the Stochastic Subspace Damage Detection Technique.

Autor: Allahdadian, Saeid, Döhler, Michael, Ventura, Carlos E., Mevel, Laurent

Publikováno v: Structural Health Monitoring, Damage Detection & Mechatronics, Volume 7; 2016, p35-46, 12p

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Investigation on the sensitivity of subspace based damage detection technique to damage and noise levels

Autor: Allahdadian, Saeid, Ventura, Carlos, Andersen, Palle, Mevel, Laurent, Döhler, Michael

Publikováno v: Scopus-Elsevier
IOMAC-International Operational Modal Analysis Conference
IOMAC-International Operational Modal Analysis Conference, May 2015, Gijón, Spain

International audience; Damage detection techniques are one of the main tools in health monitoring of structures. This paper addresses the effect of noise in the measured data on a robust damage detection method, namely statistical subspace-based dam

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::9eaa34005db4744502f6dd9f56a2ce48
http://www.scopus.com/inward/record.url?eid=2-s2.0-84934779828&partnerID=MN8TOARS

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Application of modal flexibility-based deflections for damage diagnosis of a steel frame structure

Autor: Yavuz Kaya, Saeid Allahdadian, Pier Paolo Diotallevi, Giacomo Bernagozzi, Carlos E. Ventura, Luca Landi

In this paper a modal flexibility-based approach for damage diagnosis is presented and discussed. Modal flexibility matrices of structural systems can be derived from vibration tests and changes in these matrices can be associated to structural damag

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5bd9e84241d6551b4dfb4c9ab6e10d93
http://hdl.handle.net/11585/614311

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