Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Somayajulu L. N. Dhulipala"'
Autor:
Somayajulu L. N. Dhulipala, Chandrakanth Bolisetti, Lynn B. Munday, William M. Hoffman, Ching‐Ching Yu, Faizan Ul Haq Mir, Fande Kong, Alexander D. Lindsay, Andrew S. Whittaker
Publikováno v:
Earthquake Engineering & Structural Dynamics. 51:2188-2219
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9427ccc64cac6148e885a8fdc882bfca
https://doi.org/10.1002/eqe.3659
https://doi.org/10.1002/eqe.3659
Modeling the recovery of interdependent critical infrastructure is a key component of quantifying and optimizing societal resilience to disruptive events. However, simulating the recovery of large-scale interdependent systems under random disruptive
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d29763114f744b93fc3b74038c5e8abf
http://arxiv.org/abs/2206.10829
http://arxiv.org/abs/2206.10829
Autor:
Chandrakanth Bolisetti, Philip S. Hashimoto, Justin Coleman, Mark R. Cox, Somayajulu L. N. Dhulipala, Richard Alan Yorg
Publikováno v:
Nuclear Technology. 207:1712-1724
Following U.S. Department of Energy Order 420.1 C for the mitigation of natural phenomena hazards, such as earthquakes, to nuclear facilities through periodic reassessments, Idaho National Laborato...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aaa61fa6835a59570dfecb465ac18e03
https://doi.org/10.1080/00295450.2020.1792743
https://doi.org/10.1080/00295450.2020.1792743
Publikováno v:
Natural Hazards. 103:3123-3144
Multivariate Bayesian inference can bring significant benefits to seismic hazard analysis: its multivariate feature enables computing scalar and vector hazard without making any approximations; Correlations between intensity measures are implicitly m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::74c52e7dc54df58859a78002f46fabb7
https://doi.org/10.1007/s11069-020-04122-5
https://doi.org/10.1007/s11069-020-04122-5
Autor:
Somayajulu L. N. Dhulipala
Publikováno v:
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering. 7
While resilience metrics have been proposed and studied given a functionality recovery curve, they have not emphasized enough on accounting for the uncertainties in multihazard occurrences ...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ec5cb02163253ff0373ef9d997d26ac7
https://doi.org/10.1061/ajrua6.0001131
https://doi.org/10.1061/ajrua6.0001131
Autor:
Somayajulu L. N. Dhulipala
Publikováno v:
Sustainability, Vol 13, Iss 2973, p 2973 (2021)
Sustainability
Volume 13
Issue 5
Sustainability
Volume 13
Issue 5
Seismic fragility functions can be evaluated using the cloud analysis method with linear regression which makes three fundamental assumptions about the relation between structural response and seismic intensity: log-linear median relationship, consta
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7ba45c27d1b1f31b3346b3d1441d1524
https://www.mdpi.com/2071-1050/13/5/2973
https://www.mdpi.com/2071-1050/13/5/2973
Autor:
Chandrakanth Bolisetti, Andrew E. Slaughter, Kyungtae Kim, Lynn Munday, Robert Spears, Somayajulu L. N. Dhulipala, Swetha Veeraraghavan, William Hoffman, Justin Coleman, Efe G. Kurt
Seismic analysis and risk assessment of safety-critical infrastructure like hospitals, nuclear power plants, dams, and facilities handling radioactive materials involve computationally intensive nu...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c7f6bd781a2dec171e69148ed7ab4671
Publikováno v:
Earthquake Spectra. 34:1893-1912
Deaggregation is one of the products of probabilistic seismic hazard analysis (PSHA) suitable for identifying the relative contributions of various magnitude-distance bins to a hazard or intensity measure (IM) level. In this paper, we elucidate some
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::825e0493c1309d70e24e4233432411a8
https://doi.org/10.1193/080117eqs149m
https://doi.org/10.1193/080117eqs149m
A Markov framework for generalized post-event systems recovery modeling: From single to multihazards
Publikováno v:
Structural Safety. 91:102091
State-dependent models can be used to represent the system recovery process as a series of stochastic transitions from lower to higher functional states. However, the applications of these models have been limited in scope and there is a lack of a ge
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b082757e0276c86e9d1232bf410fcd0c
https://doi.org/10.1016/j.strusafe.2021.102091
https://doi.org/10.1016/j.strusafe.2021.102091
Publikováno v:
Earthquake Engineering & Structural Dynamics. 47:377-396
Summary In probabilistic seismic demand analysis, evaluation of the sufficiency of an intensity measure (IM) is an important criterion to avoid biased assessment of the demand hazard. However, there exists no metric to quantify the degree of sufficie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fef611b166ed2985bbc57f506a3ffd0a
https://doi.org/10.1002/eqe.2955
https://doi.org/10.1002/eqe.2955