Comparison of pseudo-static and modal spectral seismic analyses of motor-driven pump units: is 1.5 security coefficient of pseudo-static method relevant? - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2019

Comparison of pseudo-static and modal spectral seismic analyses of motor-driven pump units: is 1.5 security coefficient of pseudo-static method relevant?

Résumé

In the framework of the seismic verification of plant equipments, the determination of the seismic loads applied to motor-driven pump anchorages is optimised. A rough justification is usually first performed using the 1 degree-of-freedom pseudo-static analysis, including a 1.5 multi-mode factor. The question is asked about the opportunity to decrease the multi-mode factor value, by comparison to response spectrum analysis, here considered as the reference method. Comparative seismic analyses are performed on more and more complex dynamical systems and excitations; seismic responses of a thin square plate, motor, pump, motor-driven pump unit, connected or not to suction and delivery pipes, are thus successively determined, under 1D and 3D excitations. Two different motor-driven pump units are studied: flexible with vertical axis and stiff with horizontal axis. The quantities of interest are the shearing and tearing loads, deduced from seismic loads at anchorage points.
Fichier principal
Vignette du fichier
audebert_article_SURVISHNO2019.pdf (1.31 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-02188552 , version 1 (18-07-2019)

Identifiants

  • HAL Id : hal-02188552 , version 1

Citer

Sylvie Audebert, Damien Rousseu. Comparison of pseudo-static and modal spectral seismic analyses of motor-driven pump units: is 1.5 security coefficient of pseudo-static method relevant?. Surveillance, Vishno and AVE conferences, INSA-Lyon, Université de Lyon, Jul 2019, Lyon, France. ⟨hal-02188552⟩
42 Consultations
286 Téléchargements

Partager

Gmail Facebook X LinkedIn More