Zobrazeno 1 - 10
of 56
pro vyhledávání: '"Monica D. Kohler"'
Publikováno v:
Journal of Structural Engineering. 149
Autor:
Barney H. Miao, Yiwen Dong, Zheng Y. Wu, Bulent N. Alemdar, Pei Zhang, Monica D. Kohler, Hae Young Noh
Publikováno v:
Proceedings of the 9th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation.
Autor:
Julian Bunn, Robert W. Clayton, Monica D. Kohler, Thomas H. Heaton, Richard Guy, Filippos Filippitzis, K. Mani Chandy
Publikováno v:
Seismological Research Letters. 91:3370-3380
The populace of Los Angeles, California, was startled by shaking from the M 7.1 earthquake that struck the city of Ridgecrest located 200 km to the north on 6 July 2019. Although the earthquake did not cause damage in Los Angeles, the experience in h
Autor:
Julian Bunn, Monica D. Kohler, Richard Guy, Robert W. Clayton, Robert W. Graves, K. Mani Chandy, Filippos Filippitzis, Thomas H. Heaton
We study ground-motion response in urban Los Angeles during the two largest events (M7.1 and M6.4) of the 2019 Ridgecrest earthquake sequence using recordings from multiple regional seismic networks as well as a subset of 350 stations from the much d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::26dc2d25aa24702a24a30432c6db7a01
https://resolver.caltech.edu/CaltechAUTHORS:20211209-231200000
https://resolver.caltech.edu/CaltechAUTHORS:20211209-231200000
Publikováno v:
Structural Control and Health Monitoring. 29
Publikováno v:
Seismological Research Letters. 91:622-630
The Community Seismic Network-Los Angeles Unified School District is a network of 300 low-cost microelectromechanical systems accelerometers located in schools in the Los Angeles, California, region. They are capable of accurately recording strong mo
Autor:
Aidin Tamhidi, Yousef Bozorgnia, Nicolas Kuehn, Monica D. Kohler, S. Farid Ghahari, Arthur J. Rodgers, Ertugrul Taciroglu
Ground-motion time series are essential input data in seismic analysis and performance assessment of the built environment. Because instruments to record free-field ground motions are generally sparse, methods are needed to estimate motions at locati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ce766db58694febabbd5186cf4d94501
https://resolver.caltech.edu/CaltechAUTHORS:20220406-214349101
https://resolver.caltech.edu/CaltechAUTHORS:20220406-214349101
Publikováno v:
Journal of Geophysical Research : Solid Earth
Journal of Geophysical Research : Solid Earth, 2020, 125 (11), pp.e2020JB020221. ⟨10.1029/2020JB020221⟩
Journal of Geophysical Research : Solid Earth, 2020, 125 (11), pp.e2020JB020221. ⟨10.1029/2020JB020221⟩
International audience; Modeling of tsunami wave propagation for forecasting focuses on the arrival time and amplitude of the earliest tsunami waves reaching coastlines. The complex later tsunami wavefield, in which scattering is predominant, poses a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1273c34f7fe5e46bff5d9a456bcaf65d
https://hal.science/hal-03578392
https://hal.science/hal-03578392
Among the most challenging problems in the field of damage detection and condition assessment in large structures is the ability to reliably detect, locate, and quantify relatively small changes in their dynamic response, based on vibration signal an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dff3f2271d46b5c6faa12b8a3a8839ba
https://resolver.caltech.edu/CaltechAUTHORS:20200624-132836408
https://resolver.caltech.edu/CaltechAUTHORS:20200624-132836408
Autor:
Robert de Groot, Stephen Guiwits, Jennifer E. Andrews, Monica D. Kohler, D. D. Given, Ivan Henson, D. E. Smith, A. I. Chung, Renate Hartog
The ShakeAlert earthquake early warning system is designed to automatically identify and characterize the initiation and rupture evolution of large earthquakes, estimate the intensity of ground shaking that will result, and deliver alerts to people a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::758114e926d7d3f1d3b9c14e6c98b64e
https://resolver.caltech.edu/CaltechAUTHORS:20200506-122500671
https://resolver.caltech.edu/CaltechAUTHORS:20200506-122500671