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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Main Authors: Naveed Ahmad, Qaisar Ali, Muhammad Adil, Akhtar Naeem Khan
Format: Article
Language:English
Published: Wiley 2018-01-01
Series:Shock and Vibration
Online Access:http://dx.doi.org/10.1155/2018/4186015
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author Naveed Ahmad
Qaisar Ali
Muhammad Adil
Akhtar Naeem Khan
author_facet Naveed Ahmad
Qaisar Ali
Muhammad Adil
Akhtar Naeem Khan
author_sort Naveed Ahmad
collection DOAJ
description 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.
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id doaj-art-9f77b4ef8d594fccb0fafbd756c5179d
institution Kabale University
issn 1070-9622
1875-9203
language English
publishDate 2018-01-01
publisher Wiley
record_format Article
series Shock and Vibration
spelling doaj-art-9f77b4ef8d594fccb0fafbd756c5179d2025-02-03T06:11:16ZengWileyShock and Vibration1070-96221875-92032018-01-01201810.1155/2018/41860154186015Developing Seismic Risk Prediction Functions for StructuresNaveed Ahmad0Qaisar Ali1Muhammad Adil2Akhtar Naeem Khan3Earthquake Engineering Center, UET Peshawar, Khyber Pakhtunkhwa, PakistanEarthquake Engineering Center, UET Peshawar, Khyber Pakhtunkhwa, PakistanEarthquake Engineering Center, UET Peshawar, Khyber Pakhtunkhwa, PakistanEarthquake Engineering Center, UET Peshawar, Khyber Pakhtunkhwa, PakistanThe 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.http://dx.doi.org/10.1155/2018/4186015
spellingShingle Naveed Ahmad
Qaisar Ali
Muhammad Adil
Akhtar Naeem Khan
Developing Seismic Risk Prediction Functions for Structures
Shock and Vibration
title Developing Seismic Risk Prediction Functions for Structures
title_full Developing Seismic Risk Prediction Functions for Structures
title_fullStr Developing Seismic Risk Prediction Functions for Structures
title_full_unstemmed Developing Seismic Risk Prediction Functions for Structures
title_short Developing Seismic Risk Prediction Functions for Structures
title_sort developing seismic risk prediction functions for structures
url http://dx.doi.org/10.1155/2018/4186015
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AT qaisarali developingseismicriskpredictionfunctionsforstructures
AT muhammadadil developingseismicriskpredictionfunctionsforstructures
AT akhtarnaeemkhan developingseismicriskpredictionfunctionsforstructures