A study of the 20 January 1982 earthquake near Great Nicobar Island, India

1983 ◽  
Vol 73 (4) ◽  
pp. 1139-1159
Author(s):  
P. N. Agrawal
Keyword(s):  
Future Development ◽  
Bay Of Bengal ◽  
East Coast ◽  
Civil Engineering ◽  
Nicobar Island ◽  
Engineering Structures ◽  
Ground Fissures ◽  
Isoseismal Map ◽  
Damage Data ◽  
Civil Engineering Structures

abstract An earthquake of MS = 6.3 occurred on 20 January 1982 near the east coast of Great Nicobar Island (in the Bay of Bengal), India and caused great panic among the inhabitants. Ground Fissures and damage to civil engineering structures was also caused. A study comprised of the recording of aftershocks and their migration, the preparation of an isoseismal map, and the compilation of other damage data is presented. Some recommendations have been made to permit suitable safeguards in future development.

scholarly journals Use of Time- and Frequency-Domain Approaches for Damage Detection in Civil Engineering Structures

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
V. H. Nguyen ◽  
J. Mahowald ◽  
S. Maas ◽  
J.-C. Golinval
Keyword(s):  
Damage Detection ◽  
Frequency Domain ◽  
Prestressed Concrete ◽  
Civil Engineering ◽  
Damage Identification ◽  
Real Life ◽  
Hankel Matrix ◽  
Principal Component ◽  
Engineering Structures ◽  
Civil Engineering Structures

The aim of this paper is to apply both time- and frequency-domain-based approaches on real-life civil engineering structures and to assess their capability for damage detection. The methodology is based on Principal Component Analysis of the Hankel matrix built from output-only measurements and of Frequency Response Functions. Damage detection is performed using the concept of subspace angles between a current (possibly damaged state) and a reference (undamaged) state. The first structure is the Champangshiehl Bridge located in Luxembourg. Several damage levels were intentionally created by cutting a growing number of prestressed tendons and vibration data were acquired by the University of Luxembourg for each damaged state. The second example consists in reinforced and prestressed concrete panels. Successive damages were introduced in the panels by loading heavy weights and by cutting steel wires. The illustrations show different consequences in damage identification by the considered techniques.

Application of optical fibre sensors for monitoring civil engineering structures

2001 ◽  
Vol 2 (2) ◽  
pp. 63-71 ◽  
Author(s):  
Wim Moerman ◽  
Luc Taerwe ◽  
Wim De Waele ◽  
Joris Degrieck ◽  
Roel Baets
Keyword(s):  
Optical Fibre ◽  
Civil Engineering ◽  
Engineering Structures ◽  
Optical Fibre Sensors ◽  
Civil Engineering Structures

Review on Damage Identification and Diagnosis Research of Civil Engineering Structure

2014 ◽  
Vol 1006-1007 ◽  
pp. 34-37 ◽  
Author(s):  
Hong Ni ◽  
Ming Hui Li ◽  
Xi Zuo
Keyword(s):  
Structural Damage ◽  
Civil Engineering ◽  
Damage Identification ◽  
Engineering Structures ◽  
Engineering Structure ◽  
Civil Engineering Structure ◽  
Structure Damage ◽  
Development Direction ◽  
Structural Damage Identification ◽  
Civil Engineering Structures

This paper first describes the importance of structural damage identification and diagnosis in civil engineering, and introduces domestic and foreign status of damage identification and diagnosis methods, and on the basis of this, it also introduces all kinds of methods for damage identification and diagnosis of civil engineering structures, and finally puts forward the development direction of civil engineering structure damage identification and diagnosis.

Target Reliability for New and Existing Railway Civil Engineering Structures

2018 ◽  
pp. 351-376
Author(s):  
Miroslav Sykora ◽  
Dimitris Diamantidis ◽  
Milan Holicky ◽  
Karel Jung
Keyword(s):  
Civil Engineering ◽  
Engineering Structures ◽  
Civil Engineering Structures
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