Developing Seismic Risk Prediction Functions for Structures

The paper presents the development of a nonlinear static displacement-based methodology for seismic risk assessment and loss estimation of stone masonry building stock of Pakistan. Experimental investigation of one-third scaled model, tested on shake table, is performed in order to obtain lateral st...

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Bibliographic Details
Published in:Shock and vibration 2018-01, Vol.2018 (2018), p.1-22
Main Authors: Khan, Akhtar Naeem, Adil, Muhammad, Ali, Qaisar, Ahmad, N.
Format: Article
Language:English
Subjects:
Aseismic buildings
Building construction
Casualties
Damage assessment
Earthquake damage
Earthquake prediction
Earthquakes
Emergency preparedness
Fragility
Masonry
Masonry materials
Methodology
Methods
Model testing
Nonlinear analysis
Risk assessment
Seismic activity
Seismic design
Seismic engineering
Seismic hazard
Seismology
Stone
Structural damage
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Summary:The paper presents the development of a nonlinear static displacement-based methodology for seismic risk assessment and loss estimation of stone masonry building stock of Pakistan. Experimental investigation of one-third scaled model, tested on shake table, is performed in order to obtain lateral strength and drift limits for stone masonry and develop damage scale for performance-based assessment. Prototype buildings are designed respecting the existing building stock and investigated through nonlinear static and dynamic time history analyses. Nonlinear static mechanical models, for both global and local vulnerabilities, are developed for the considered typology which are used to derive analytical structure-dependent fragility functions considering expected sources of uncertainties explicitly in contrary to the conventional procedures. Furthermore, seismic risk assessment is performed for different scenario earthquakes and presented in terms of structure-independent fragility functions to estimate the mean damage ratio, the repair cost as a fraction of replacement cost, and casualties, with the dispersion being quantified, given source-to-site distance and magnitude for an earthquake event. The methodology is tested for seismic risk assessment of the considered typology in recent 2005 Kashmir earthquake, which is reasonably predicted. Future development of the methodology is required with additional experimental tests on rubble stone masonry material in order to increase confidence in future applications.
ISSN:1070-9622
1875-9203
DOI:10.1155/2018/4186015