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Probabilistic analysis of resistance for RC columns with wind-dominated combination considering random biaxial eccentricity.

• Authors : Youbao Jiang; Junlin Zheng; Kailin Yang

Subjects: COLUMNS; BEARING capacity of soils; MONTE Carlo method

• Source: Structure & Infrastructure Engineering: Maintenance, Management, Life-Cycle Design & Performance; May2024, Vol. 20 Issue 5, p730-740, 11p

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Applied Science & Technology Full Text (H.W. Wilson)

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Quantitative Risk Assessment of Seismically Loaded Slopes in Spatially Variable Soils with Depth-Dependent Strength.

• Authors : Liao, Kang; Wu, Yiping; Miao, Fasheng

Subjects: RISK assessment; SHEAR strength of soils; MONTE Carlo method

• Source: International Journal of Geomechanics; Jul2024, Vol. 24 Issue 7, p1-10, 10p

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Joint Statistics of Natural Frequencies Corresponding to Structural Systems with Singular Random Parameter Matrices.

• Authors : Fragkoulis, Vasileios C. (AUTHOR); Kougioumtzoglou, Ioannis A. (AUTHOR); Pantelous, Athanasios A. (AUTHOR)

Subjects: RANDOM matrices; MATRIX inversion; MONTE Carlo method

• Source: Journal of Engineering Mechanics. Mar2022, Vol. 148 Issue 3, p1-11. 11p.

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Reliability evaluation of reinforced concrete columns designed by Eurocode for wind-dominated combination considering random loads eccentricity.

• Authors : Jiang, Youbao; Peng, Suixiang; Beer, Michael

Subjects: CONCRETE columns; REINFORCED concrete; EFFECT of earthquakes on buildings

• Source: Advances in Structural Engineering; Jan2020, Vol. 23 Issue 1, p146-159, 14p

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Nonlinear MDOF system Survival Probability Determination Subject to Evolutionary Stochastic Excitation.

• Authors : Mitseas, Ioannis P.; Kougioumtzoglou, Ioannis A.; Spanos, Pol D.

Subjects: STOCHASTIC processes; MULTI-degree of freedom; STATIONARY processes

• Source: Journal of Mechanical Engineering / Strojniški Vestnik; 2016, Vol. 62 Issue 7/8, p440-451, 12p

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A neural network approach for simulating stationary stochastic processes.

• Authors : Beer, Michael; Spanos, Pol D.

Subjects: ARTIFICIAL neural networks; MONTE Carlo method; STOCHASTIC processes

• Source: Structural Engineering & Mechanics; 5/10/2009, Vol. 32 Issue 1, p71-94, 24p, 4 Diagrams, 5 Charts, 8 Graphs

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Relaxed evolutionary power spectral density functions: A probabilistic approach to model uncertainties of non-stationary stochastic signals.

• Authors : Bittner, Marius^1,2 (AUTHOR) ; Behrendt, Marco¹ (AUTHOR); Beer, Michael^1,3,4 (AUTHOR)

Subjects: *MONTE Carlo method; *PROBABILITY density function; *VIBRATION (Mechanics)

• Source: Mechanical Systems & Signal Processing. Apr2024, Vol. 211, pN.PAG-N.PAG. 1p.

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First-excursion stochastic incremental dynamics methodology for hysteretic structural systems subject to seismic excitation.

• Authors : Mitseas, Ioannis P.^1,2 (AUTHOR) ; Beer, Michael^2,3,4 (AUTHOR)

Subjects: *MONTE Carlo method; *PROBABILITY density function; *STOCHASTIC systems

• Source: Computers & Structures. Jan2021, Vol. 242, pN.PAG-N.PAG. 1p.

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Fragility analysis of nonproportionally damped inelastic MDOF structural systems exposed to stochastic seismic excitation.

• Authors : Mitseas, Ioannis P.¹ (AUTHOR) ; Beer, Michael^1,2,3 (AUTHOR)

Subjects: *MONTE Carlo method; *STOCHASTIC systems; *PROBABILITY density function

• Source: Computers & Structures. Jan2020, Vol. 226, pN.PAG-N.PAG. 1p.

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