We.4.E
D07 - Seismic Fragility Assessment - Method Developments

We.4.E.1

Relevant intensity measures for seismic damage prediction with artificial neural networks

K. Goldschmidt1, H. Sadegh-Azar1, M. Mohtasham Miavaghi1

1: Technische Universität Kaiserslautern, Paul-Ehrlich-Straße 14, Germany

We.4.E.2

A COMPUTATIONAL APPROACH TO STREAMLINE DETERMINISTIC SAFETY ANALYSIS AND FRAGILITY ANALYSIS OF STRUCTURES, SYSTEMS AND COMPONENTS (SSCs) FOR A NUCLER POWER PLANT (NPP)

S.C.R. Korlapati1, Y. Isbiliroglu1, O. Nusbaumer2, Y. Rathod1, C. Erdogan1, P. Mehta1, N. Vaidya1, H. Senechal3, D. Kurmann4

1: Rizzo International, Pittsburgh, USA
2: Kernkraftwerk Leibstadt AG, Leibstadt, Switzerland
3: KAE GmbH, a company of the BKW Engineering Group, Hausen, Germany
4: AXPO, Zurich, Switzerland

We.4.E.3

Improved Fragility Update Methods to Address New Seismic Hazard Estimates

G. Hardy1, T. Graf2, R. Cappa2, A. Anup2, J. Richards3

1: Simpson Gumpertz & Heger, Newport Beach, USA
2: Simpson Gumpertz & Heger, Newport Beach, USA
3: EPRI, Charlotte, USA

We.4.E.4

A Modified Hybrid Method for Developing Seismic Fragilities

A. Anup1, M. Talaat2

1: Simpson Gumpertz & Heger, Inc., Newport Beach, USA
2: Simpson Gumpertz & Heger, Inc., Oakland, USA

We.4.E.5

Development and Application of Earthquake-type Dependent Fragility Curves

S. Fukushima1, A. Satoda2, M. Oshima2

1: RKK Consulting Co., Ltd., Tokyo, Japan
2: Chiyoda Corporation, Kanagawa, Japan