Element: Data: HDR: Enabling data interoperability for NSF archives of high-rate real-time GPS and seismic observations of induced earthquakes and structural damage detection in OK
Element: Data: HDR: Enabling data interoperability for NSF archives of high-rate real-time GPS and seismic observations of induced earthquakes and structural damage detection in OK
批准号:
1835371
负责人:
Priyank Jaiswal
金额:
$24.47万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2018
资助国家:
美国
项目状态:
已结题
起止时间:
2018-10-01 至 2023-09-30
中文摘要
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英文摘要
Recent studies have identified critical differences between earthquakes induced by wastewater injection in tectonically passive regions of oil and gas exploration (such as earthquakes recently experienced in Oklahoma, Texas, and Kansas) and earthquakes in tectonically active environments (such as fault zones in California). This has significant implications for earthquake engineering in the Midwest, where the building inventory was not designed to withstand large earthquakes or cumulative damage due to successive earthquakes. Estimating the level of ground shaking at different frequencies is needed to calculate structural response, understand which structures run higher risks of earthquake damage, and establish criteria for building design and real-time decision making. This project uses recent breakthroughs in real-time GPS data analysis to address challenges limiting the use of real-time GPS and seismic data by the geoscience and engineering communities. The effort develops new capabilities to handle data streams in a manner that is independent of the content and formats of the environmental sensor measurements. Creating these links will have a substantial impact on interoperability among the geodesy, seismology, and earthquake engineering research communities. The project demonstrates the approach using multi-sensor geoscience and engineering datasets recorded on structures on the Oklahoma State University campus and in the field near the location of the September 2016 Pawnee earthquake. The effort creates new methods for capturing permanent deformation in structures, and a better understanding of building inventory resiliency.This award by the Office of Advanced Cyberinfrastructure is jointly supported by the Established Program to Stimulate Competitive Research (EPSCoR).This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
期刊论文(2)
专著(0)
科研奖励(0)
会议论文
DOI:
10.1080/15732479.2020.1759658
发表时间:
2020-05-16
期刊:
STRUCTURE AND INFRASTRUCTURE ENGINEERING
影响因子:
3.7
作者:
[Khandel, Omid, Soliman, Mohamed, Murray, Cameron D.]
通讯作者:
Murray, Cameron D.
Seismic fragility analysis using nonlinear autoregressive neural networks with exogenous input
使用具有外源输入的非线性自回归神经网络进行地震易损性分析
DOI:
10.1080/15732479.2021.1894184
发表时间:
2021
期刊:
Structure and Infrastructure Engineering
影响因子:
3.7
作者:
[Sheikh, Imran A., Khandel, Omid, Soliman, Mohamed, Haase, Jennifer S., Jaiswal, Priyank]
通讯作者:
Jaiswal, Priyank
I-Corps - Seismic Fragility Monitoring and Estimation System
-
批准号:2317197
-
项目类别:Standard Grant
-
资助金额:$5.0万
-
财政年份:2023
-
负责人:Priyank Jaiswal
-
依托单位:
NSF Student Travel Grant for 2018 Forum on Infrastructural Resilience to Low-Level Seismicity in Oklahoma
-
批准号:1849273
-
项目类别:Standard Grant
-
资助金额:$1.96万
-
财政年份:2018
-
负责人:Priyank Jaiswal
-
依托单位:
RAPID: Collaborative Research: Seismic Response to the 2016 M5.8 Pawnee Earthquake
-
批准号:1664219
-
项目类别:Standard Grant
-
资助金额:$0.88万
-
财政年份:2016
-
负责人:Priyank Jaiswal
-
依托单位:
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