A STUDY ON ESTIMATION METHOD OF A SITE EFFECT OF LOCAL GOVERNMENT OBSERVATION SITES BASED ON EARTHQUAKE GROUND MOTION RECORDS IN KANSAI REGION

The three-dimensional propagation directions of earthquake ground motion near ground surface are estimated for eight earthquakes. By the NIOM method, three dimension (3-D) oriental angles are resulted in determining the arrival time of an incident wave and a reflectiveed wave. In this study, the estimation method of 3-D propagation directions is developed rationally and confirmed reliably with the independent data of Chiba array in Japan. The propagation directions are equivalent numerically to the geographical position of plural spots in horizontal and vertical, and the theoretical result obtained by the structural model of global horizontal layer velocity.

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SEISMIC FRAGILITY ASSESSMENT AND RETROFIT OF A GOVERNMENT HOSPITAL BUILDING IN CHITTAGONG, BANGLADESH

Malaysian Journal of Civil Engineering ◽

10.11113/mjce.v30.168 ◽

2018 ◽

Vol 30 (1) ◽

Author(s):

Md. AbulHasan ◽

Md. Abdur Rahman Bhuiyan

Keyword(s):

Ground Motion ◽

Return Period ◽

Seismic Vulnerability ◽

Fragility Curves ◽

Response Spectrum ◽

Seismic Fragility ◽

Earthquake Ground Motion ◽

Type I ◽

Type Ii ◽

Ground Motion Records

Chittagong Medical College Hospital (CMCH) is one of the most important government hospitals in Bangladesh. It is located in the heart of Chittagong city, the only port city of Bangladesh. Bangladesh National Building Code (BNBC) is the only official document, which has been used since 1993 as guidelines for seismic design of buildings. As per the guidelines of BNBC, the CMCH building was designed for an earthquake ground motion having a return period of 200 years. However, the revised version of BNBC has suggested that the building structures shall be designed for an earthquake ground motion having a return period of 2475 years. It is mentioned that a single seismic performance objective, the life safety, of the building is considered in both versions of BNBC. Considering the significant importance of CMCH building in providing the emergency facilities during and after the earthquake, it is indispensable to evaluate its seismic vulnerability for the two types of earthquake ground motion records having return period of 200 (Type-I) and 2475 (Type-II) years. In this regard, this paper deals with the seismic vulnerability assessment of the existing ancillary building (AB) of CMCH. The seismic vulnerability of building is usually expressed in the form of fragility curves, which display the conditional probability that the structural demand (structural response) caused by various levels of ground shaking exceeds the structural capacity defined by a damage state. The analytical method based on elastic response spectrum analyses results is used in evaluating the seismic fragility curves of the building. To the end, 3-D finite element model of the building subjected to 18 ground motion records having PGA of 0.325g to 0.785g has been used in theresponse spectrum analysis in order to evaluate its inter-story-drift ratio (IDR), an engineeringdemand parameter (EDP) for developing fragility curves. The analytical results have shown thatstructural deficiencies exist in the existing ancillary building (AB) for the Type-II earthquakeground motion record, which requires the building to be retrofitted to ensure that the existingancillary building (AB) becomes functional during and after the Type-II earthquake groundmotion record.

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Implications of the 1988 Saguenay earthquake on Canadian seismic strength specification

Canadian Journal of Civil Engineering ◽

10.1139/l91-015 ◽

1991 ◽

Vol 18 (1) ◽

pp. 130-139 ◽

Cited By ~ 1

Author(s):

W. K. Tso ◽

T. J. Zhu

Keyword(s):

Ground Motion ◽

Seismic Design ◽

Analytical Study ◽

Earthquake Ground Motion ◽

Base Shear ◽

Design Strength ◽

Observed Damage ◽

Ground Motion Records ◽

Epicentral Region ◽

Strong Ground

The November 25, 1988, Saguenay earthquake was the most significant seismic event in eastern North America over the last 50 years. Based on strong ground motion records from this earthquake, an analytical study was undertaken to evaluate the seismic design base shear provisions of the National Building Code of Canada for buildings located in the eastern regions of Canada. In light of the observed damage to masonry structures in the epicentral region, emphasis was placed on the evaluation of the codified minimum seismic strength for masonry structural systems. Key words: earthquake, ground motion, seismic design strength, code, masonry, buildings, damage, ductility.

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Selection of earthquake ground motion records: A state-of-the-art review from a structural engineering perspective

Soil Dynamics and Earthquake Engineering ◽

10.1016/j.soildyn.2009.10.005 ◽

2010 ◽

Vol 30 (4) ◽

pp. 157-169 ◽

Cited By ~ 211

Author(s):

Evangelos I. Katsanos ◽

Anastasios G. Sextos ◽

George D. Manolis

Keyword(s):

Ground Motion ◽

Structural Engineering ◽

State Of The Art ◽

Earthquake Ground Motion ◽

Ground Motion Records ◽

Selection Of

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Analysis And Simulation Of Earthquake Ground Motion Records

10.31988/scitrends.8965 ◽

2018 ◽

Author(s):

Ozlem Karagoz

Keyword(s):

Ground Motion ◽

Earthquake Ground Motion ◽

Ground Motion Records

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A Neural Network for Automated Quality Screening of Ground Motion Records from Small Magnitude Earthquakes

Earthquake Spectra ◽

10.1193/122118eqs292m ◽

2019 ◽

Vol 35 (4) ◽

pp. 1637-1661 ◽

Cited By ~ 1

Author(s):

Xavier Bellagamba ◽

Robin Lee ◽

Brendon A. Bradley

Keyword(s):

Ground Motion ◽

Low Cost ◽

Feedforward Neural Networks ◽

Earthquake Ground Motion ◽

Data Sets ◽

Data Set ◽

Small Magnitude ◽

Motion Data ◽

Motion Models ◽

Ground Motion Records

The ambitious scopes of recent earthquake ground motion studies are generating a need for more high-quality ground motion records. As the number of deployed sensors is rapidly growing through improved accessibility and cost (e.g., ground motion stations, low-cost accelerometers, smart phones), an exponentially increasing amount of data are being generated. Previously, quality-assured ground motion data sets for engineering applications were generated using both manual and automated quality screening methodologies. More recently, new techniques have emerged that potentially offer both improved classification accuracy and computational expediency. This work presents a machine learning–oriented method to facilitate and accelerate the quality classification of ground motion records from small magnitude earthquakes. Feedforward neural networks are selected for their ability to efficiently recognize patterns and are trained on two New Zealand data sets. An application to physics-based ground motion simulation validation indicates that the proposed approach delivers results that are comparable with manual quality selection. Robust automatic ground motion quality screening allows a significant increase in data set size for development, calibration, and validation of ground motion models.

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