Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/127373
Title: Fragility Analysis of pile supported wharf using performance based design
Researcher: Ms. Dhara Shah
Guide(s): Prof. Dr. Bharat J.Shah
Keywords: Fragility Analysis
Pile supported wharf
Site specific spectra
capacity spectrum method
University: Gujarat Technological University
Completed Date: 27-12-2016
Abstract: Maritime transportation has played a vital role in deciding economy of a country through prehistoric times. Rapid development of international sea trade in the last few decades has drawn attention towards seismic safety of port structures. A number of pile supported wharves have suffered extensive damage due to seismic events in the past decades, causing extended economic losses to port [1].India currently has 13 major and 187 minor ports. Nearly 95% of foreign trade by volume and 70% by value takes place through ports. About 65% of country s land is under moderate to very high seismic risk and the country has witnessed several major earthquakes in the past three decades. Currently, there is no guideline in India for earthquake resistant design of port structures. The existing earthquake-resistant design standards IS1893 part-1(2002) and IS13920 (1993) are proposed for buildings that behave very differently from port structures during earthquakes. In the absence of specific seismic design code for port structures, it becomes essential to make vulnerability analysis of structure /component to understand its behavior and probability of failure (or probability of repair work after seismic event) for different intensity earthquake.Seismic fragility analysis is a vital tool to comprehend structure s performance and probability of failure for different intensity of earthquakes. In the present study, seismic fragility curves are developed for a typical pile supported wharf for some important port sites in Gujarat i.e. Mundra, Kandla, Navlakhi, Dahej and Hazira, thereby representing moderate to very severe level of seismic hazards (Zone V and III) as per IS1893 part-1:2002. Fragility curves are developed for three levels of ground shaking i.e. Serviceability Earthquake (SE), Design Based Earthquake (DBE), and Maximum Considered Earthquake (MCE). The structural model of wharf is prepared in SAP 2000 using Winkler model to represent soil structure interaction. Static nonlinear pushover analysis is performed to obtain the capacity curve of wharf. Damage states are defined as per PIANC (Permanent International Association of Navigation Congresses). Demand is obtained from site specific spectra constructed using geotechnical report of port sites and corresponding seismic events normalized, and scaled from 0.1g to 1.0g. Using Capacity Spectrum Method and linear Time History Analysis, maximum displacements at deck are obtained and response matrix is created. Based on the damage states and the response matrix, the fragility curves of the wharf are constructed.It is observed that the selected port sites have much higher ground motions than specified by the default spectrum of IS1893 part-1:2002. It is also revealed that the port sites Mundra, Kandla and Navlakhi are most susceptible to seismic risk. Dahej and Hazira ports are comparatively at lower risk. The Indian standard (IS1893 part-1:2002) thus underestimates the fragility of wharf at selected sites, stating it to be functional for DBE and MCE. The site specific spectrum obtained at selected sites indicates the wharf as deficient in terms of serviceability during its design life. Hence, site specific spectrum is necessary for seismic design of port structures. There is also a need to review the exisitng Indian standard in context to ground motions. newline
Pagination: 197 pages hard copy and 8663 Kb for PDF format copy
URI: http://hdl.handle.net/10603/127373
Appears in Departments:Civil Engineering

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02_certificate.pdf264.47 kBAdobe PDFView/Open
03_abstract.pdf98.29 kBAdobe PDFView/Open
04_declaration.pdf164.37 kBAdobe PDFView/Open
05_acknowledgement.pdf97.84 kBAdobe PDFView/Open
06_content.pdf270.67 kBAdobe PDFView/Open
07_list-of_tables.pdf187.57 kBAdobe PDFView/Open
08_list-of_figures.pdf191.14 kBAdobe PDFView/Open
09_abbreviations.pdf97.39 kBAdobe PDFView/Open
10_chapter1.pdf186.05 kBAdobe PDFView/Open
11_chapter2.pdf753.5 kBAdobe PDFView/Open
12_chapter3.pdf964.87 kBAdobe PDFView/Open
13_chapter4.pdf2.41 MBAdobe PDFView/Open
14_chapter5.pdf348.82 kBAdobe PDFView/Open
15_chapter6.pdf301.71 kBAdobe PDFView/Open
16_results_conclusion.pdf363.7 kBAdobe PDFView/Open
17_reference.pdf186.9 kBAdobe PDFView/Open
18_appendix_a.pdf860.95 kBAdobe PDFView/Open
19_appendix_b.pdf1.11 MBAdobe PDFView/Open
20_appendix_c.pdf219.87 kBAdobe PDFView/Open
21_appendix_e.pdf226.1 kBAdobe PDFView/Open
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