Search Results - "Grigoriu, Mircea D"

Extremal dependence between temperature and ozone over the continental US by Phalitnonkiat, Pakawat, Hess, Peter G. M, Grigoriu, Mircea D, Samorodnitsky, Gennady, Sun, Wenxiu, Beaudry, Ellie, Tilmes, Simone, Deushi, Makato, Josse, Beatrice, Plummer, David, Sudo, Kengo

“…The co-occurrence of heat waves and pollution events and the resulting high mortality rates emphasize the importance of the co-occurrence of pollution and…”
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Stochastic properties of static friction by Albertini, Gabriele, Karrer, Simon, Grigoriu, Mircea D., Kammer, David S.

“…The onset of frictional motion is mediated by rupture-like slip fronts, which nucleate locally and propagate eventually along the entire interface causing…”
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Finite dimensional models for extremes of Gaussian and non-Gaussian processes by Xu, Hui, Grigoriu, Mircea D.

“…Numerical solutions of stochastic problems involving random processes X(t), which constitutes infinite families of random variables, require to represent these…”
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Multiple Resistance Factor Design for Shallow Transmission Line Structure Foundations by Phoon, Kok-Kwang, Kulhawy, Fred H, Grigoriu, Mircea D

“…This paper presents the development of simplified reliability-based design (RBD) equations that are suitable for spread foundations subjected to uplift…”
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Stochastic reduced order models for inverse problems under uncertainty by Warner, James E., Aquino, Wilkins, Grigoriu, Mircea D.

“…This work presents a novel methodology for solving inverse problems under uncertainty using stochastic reduced order models (SROMs). Given statistical…”
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Parameters identification of cable stayed footbridges using Bayesian inference by Pepi, Chiara, Gioffre’, Massimiliano, Grigoriu, Mircea D.

“…Numerical modeling of actual structural systems is a very complex task mainly due to the lack of complete knowledge on the involved parameters. Simplified…”
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Stochastic reduced order models for uncertainty quantification of intergranular corrosion rates by Sarkar, Swarnavo, Warner, James E., Aquino, Wilkins, Grigoriu, Mircea D.

“…•A reduced-order model for uncertainty quantification in corrosive systems is shown.•Uncertainty in current density due to randomness in electrode sites is…”
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Identification of input random field samples causing extreme responses by T Uy, Wayne Isaac, Grigoriu, Mircea D

“…Consider a physical system modeled by a differential equation that depends on a coefficient random field. The objective of this work is to identify samples of…”
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Temperature Extremes in the Community Atmosphere Model with Stochastic Parameterizations by Tagle, Felipe, Berner, Judith, Grigoriu, Mircea D., Mahowald, Natalie M., Samorodnitsky, Gennady

“…This paper evaluates the performance of the NCARC ommunity Atmosphere Model, version 4 (CAM4), in simulating observed annual extremes of near-surface…”
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An adaptive method for solving stochastic equations based on interpolants over Voronoi cells by Uy, Wayne Isaac T., Grigoriu, Mircea D.

“…An adaptive collocation-based surrogate model is developed for the solution of equations with random coefficients, referred to as stochastic equations. The…”
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Predicting laser weld reliability with stochastic reduced-ordermodels by Emery, John M, Field, Richard V, Foulk, James W, Karlson, Kyle N, Grigoriu, Mircea D

“…Summary Laser welds are prevalent in complex engineering systems and they frequently govern failure. The weld process often results in partial penetration of…”
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Development of a Reliability-Based Design Framework for Transmission Line Structure Foundations by Phoon, Kok-Kwang, Kulhawy, Fred H, Grigoriu, Mircea D

“…This paper presents the reliability-based design (RBD) initiative sponsored by the Electric Power Research Institute for transmission line structure…”
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Probabilistic Models and Simulation of Irregular Masonry Walls by Spence, Seymour M. J, Gioffrè, Massimiliano, Grigoriu, Mircea D

“…A method is proposed for generating samples of irregular masonry walls that capture the essential statistics of a given population. The method first entails…”
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Finite dimensional models for wind diffusion process by Xu, Hui, Grigoriu, Mircea D.

“…Diffusion processes with linear drift and translations of Gaussian/non-Gaussian diffusion processes are fitted to wind pressure time series recorded at the…”
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A novel surrogate for extremes of random functions by Xu, Hui, Grigoriu, Mircea D., Gurley, Kurtis R.

“…Numerical solutions of stochastic problems require the representation of random functions in their definitions by finite dimensional (FD) models, i.e.,…”
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Failure classification of porous additively manufactured parts using Deep Learning by Johnson, Kyle L., Maestas, Demitri, Emery, John M., Grigoriu, Mircea D., Smith, Matthew D., Martinez, Carianne

“…Microstructural features are one of the most important factors that determine performance and failure of engineering structures. In metal parts produced…”
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A local method for solutions in two-dimensional potential theory and linear elasticity by Kulkarni, Salil S., Mukherjee, Subrata, Grigoriu, Mircea D.

“…A numerical method called the Boundary Walk Method (BWM) is used to solve problems in two-dimensional potential theory and linear elasticity in multiply…”
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Predicting laser weld reliability with stochastic reduced-order models by Emery, John M., Field Jr, Richard V., Foulk III, James W., Karlson, Kyle N., Grigoriu, Mircea D.

“…Summary Laser welds are prevalent in complex engineering systems and they frequently govern failure. The weld process often results in partial penetration of…”
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Predicting laser weld reliability with stochastic reduced-order models. Predicting laser weld reliability by Emery, John M., Field, Richard V., Foulk, James W., Karlson, Kyle N., Grigoriu, Mircea D.

“…Laser welds are prevalent in complex engineering systems and they frequently govern failure. The weld process often results in partial penetration of the base…”
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Extremes of vector-valued processes by finite dimensional models by Xu, Hui, Grigoriu, Mircea D

“…Finite dimensional (FD) models, i.e., deterministic functions of time/space and finite sets of random variables, are constructed for target vector-valued…”
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