Near-Real-Time Damage Estimation for Buildings Based on Strong-Motion Recordings: An Application to Target Areas in Northeastern Italy

2021 ◽  
Author(s):  
Chiara Scaini ◽  
Bojana Petrovic ◽  
Alberto Tamaro ◽  
Luca Moratto ◽  
Stefano Parolai
Keyword(s):  
Real Time ◽  
Damage Assessment ◽  
Strong Motion ◽  
Ambient Vibration ◽  
Monitoring Networks ◽  
Damage State ◽  
Building Stock ◽  
Building Typology ◽  
Northeastern Italy ◽  
Ambient Vibration Measurements

Abstract The rapid estimation of expected impacts in case of an earthquake is extremely important for emergency managers and first responders. Current near-real-time damage assessment methods rely on ground-motion estimates and exposure or fragility datasets, in some cases integrating the shaking recorded at the site (e.g., from strong-motion monitoring networks). We propose a method that estimates the expected damages on buildings based on strong-motion recordings of a seismic event. The damage assessment is based on the maximum drift (interstory) or the displacement, which is estimated by considering in a first approximation the behavior of a specific building typology as a single-degree-of-freedom oscillator. The oscillator is characterized based on the analysis of the building stock and a large number of ambient vibration measurements performed in buildings. A specific damage state occurs when the interstory drift or displacement limits available in the literature for the specific building typology are exceeded. The method, here applied to a case study in northeastern Italy, can be applied to other seismic areas worldwide to provide quick, first-level estimates of expected damages.

scholarly journals Case Study of a Heavily Damaged Building during the 2016 MW 7.8 Ecuador Earthquake: Directionality Effects in Seismic Actions and Damage Assessment

Geosciences ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 74
Author(s):  
Luis A. Pinzón ◽  
Luis G. Pujades ◽  
Irving Medranda ◽  
Rodrigo E. Alva
Keyword(s):  
Damage Assessment ◽  
Strong Motion ◽  
Response Spectra ◽  
Seismic Action ◽  
Damage State ◽  
Ground Acceleration ◽  
Intensity Measures ◽  
Capacity Curves ◽  
Building Orientation

In this work, the directionality effects during the MW 7.8 earthquake, which occurred in Muisne (Ecuador) on 16 April 2016, were analyzed under two perspectives. The first one deals with the influence of these effects on seismic intensity measures (IMs), while the second refers to the assessment of the expected damage of a specific building located in Manta city, Ecuador, as a function of its azimuthal orientation. The records of strong motion in 21 accelerometric stations were used to analyze directionality in seismic actions. At the closest station to the epicenter (RRup = 20 km), the peak ground acceleration was 1380 cm/s2 (EW component of the APED station). A detailed study of the response spectra ratifies the importance of directionality and confirms the need to consider these effects in seismic hazard studies. Differences between IMs values that consider the directionality and those obtained from the as-recorded accelerograms are significant and they agree with studies carried out in other regions. Concerning the variation of the expected damage with respect to the building orientation, a reinforced concrete building, which was seriously affected by the earthquake, was taken as a case study. For this analysis, the accelerograms recorded at a nearby station and detailed structural documentation were used. The ETABS software was used for the structural analysis. Modal and pushover analyses were performed, obtaining capacity curves and capacity spectra in the two main axes of the building. Two advanced methods for damage assessment were used to obtain fragility and mean damage state curves. The performance points were obtained through the linear equivalent approximation. This allows estimation and analysis of the expected mean damage state and the probability of complete damage as functions of the building orientation. Results show that the actual probability of complete damage is close to 60%. This fact is mainly due to the greater severity of the seismic action in one of the two main axes of the building. The results are in accordance with the damage produced by the earthquake in the building and confirm the need to consider the directionality effects in damage and seismic risk assessments.

Erratum to Near-Real-Time Damage Estimation for Buildings Based on Strong-Motion Recordings: An Application to Target Areas in Northeastern Italy

2021 ◽  
Author(s):  
Chiara Scaini ◽  
Bojana Petrovic ◽  
Alberto Tamaro ◽  
Luca Moratto ◽  
Stefano Parolai
Keyword(s):  
Real Time ◽  
Strong Motion ◽  
Damage Estimation ◽  
Northeastern Italy

scholarly journals Examining the contribution of near real-time data for rapid seismic loss assessment of structures

2021 ◽  
pp. 147592172199621
Author(s):  
Enrico Tubaldi ◽  
Ekin Ozer ◽  
John Douglas ◽  
Pierre Gehl
Keyword(s):  
Real Time ◽  
Damage Assessment ◽  
Free Field ◽  
Seismic Source ◽  
Seismic Damage ◽  
Added Value ◽  
Sensor Data ◽  
Sources Of Information ◽  
Bridge Model ◽  
Seismic Damage Assessment

This study proposes a probabilistic framework for near real-time seismic damage assessment that exploits heterogeneous sources of information about the seismic input and the structural response to the earthquake. A Bayesian network is built to describe the relationship between the various random variables that play a role in the seismic damage assessment, ranging from those describing the seismic source (magnitude and location) to those describing the structural performance (drifts and accelerations) as well as relevant damage and loss measures. The a priori estimate of the damage, based on information about the seismic source, is updated by performing Bayesian inference using the information from multiple data sources such as free-field seismic stations, global positioning system receivers and structure-mounted accelerometers. A bridge model is considered to illustrate the application of the framework, and the uncertainty reduction stemming from sensor data is demonstrated by comparing prior and posterior statistical distributions. Two measures are used to quantify the added value of information from the observations, based on the concepts of pre-posterior variance and relative entropy reduction. The results shed light on the effectiveness of the various sources of information for the evaluation of the response, damage and losses of the considered bridge and on the benefit of data fusion from all considered sources.

scholarly journals New K-NET: Development of real-time system for strong-motion observation

2007 ◽  
Vol 7 (2) ◽  
pp. 2-16 ◽  
Author(s):  
Hiroyuki FUJIWARA ◽  
Takashi KUNUGI ◽  
Shigeki ADACHI ◽  
Shin AOI ◽  
Nobuyuki MORIKAWA
Keyword(s):  
Real Time ◽  
Strong Motion ◽  
Time System ◽  
Real Time System

scholarly journals Cooperating the BDS, GPS, GLONASS and strong-motion observations for real-time deformation monitoring

2017 ◽  
Vol 209 (3) ◽  
pp. 1408-1417 ◽  
Author(s):  
Rui Tu ◽  
Jinhai Liu ◽  
Cuixian Lu ◽  
Rui Zhang ◽  
Pengfei Zhang ◽  
...  
Keyword(s):  
Real Time ◽  
Strong Motion ◽  
Deformation Monitoring ◽  
Time Deformation

Real-Time Strong-Motion Broadband Displacements from Collocated GPS and Accelerometers

2011 ◽  
Vol 101 (6) ◽  
pp. 2904-2925 ◽  
Author(s):  
Y. Bock ◽  
D. Melgar ◽  
B. W. Crowell
Keyword(s):  
Real Time ◽  
Strong Motion

Ambient vibration test results of the Imperial County Services Building

1983 ◽  
Vol 73 (6A) ◽  
pp. 1895-1902
Author(s):  
Gerard C. Pardoen
Keyword(s):  
Strong Motion ◽  
Ambient Vibration ◽  
Vibration Test ◽  
Test Results ◽  
Structural Failure ◽  
Imperial Valley ◽  
Ambient Vibration Test ◽  
Significant Interest ◽  
First Time ◽  
County Services

Abstract The ambient vibration test results conducted on the Imperial County Services Building prior to the 15 October 1979 Imperial Valley earthquake are summarized. These results are of significant interest because the Imperial County Services Building has been the source of many postearthquake investigations due to the fact that the 1979 earthquake represented the first time a building instrumented with strong motion recorders suffered and recorded the major structural failure.

scholarly journals NATIONAL BUILDING TYPOLOGY AS A SOURCE FOR AN ADEQUATE REHABILITATION POLICY

2013 ◽  
Vol 4 (2) ◽  
Author(s):  
Dušan Ignjatović ◽  
Nataša Ćuković Ignjatović ◽  
Milica Jovanović Popović
Keyword(s):  
Housing Stock ◽  
Building Stock ◽  
Local Characteristics ◽  
Energy Assessment ◽  
Starting Point ◽  
Building Typology ◽  
Comprehensive Survey ◽  
Existing Housing ◽  
Adequate Data

Serbia’s Law on Planning and Building has imposed the topics of energy efficiency in building sector, requiring adequate policy making and providing a starting point for improvement of the current situation in this field. Considering the fact that there are more than 3.200.000 housing units without any statistical classification a need arose for establishing a national building typology as a starting point for further decision making and appropriate activities definition regarding the existing housing stock. After joining EU TABULA (Typology Approach for Building Stock Energy Assessment) project, methodologies and approaches of the European countries have been analysed providing a common experience, at the same illustrating a need for identification and classification of local characteristics. In order to obtain adequate data a comprehensive survey has been conducted, providing a starting point for creation of typology. The National Typology has identified typical “model” buildings and defined the levels of improvement ranging from standard (according to the current law) to the low-energy level. The paper explains the methodology, procedures and local characteristics of the process and gives an insight in the activity describing the problems and potentials of the approach.

scholarly journals RAIS: a real time strong-motion network in northern Italy

2011 ◽  
Vol 54 (1) ◽  
Author(s):  
Paolo Augliera ◽  
Marco Massa ◽  
Ezio D'Alema ◽  
Simone Marzorati
Keyword(s):  
Real Time ◽  
Strong Motion ◽  
Northern Italy ◽  
Strong Motion Network
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