Browsing School of Engineering by Author "Beer, Michael"
Now showing items 1-13 of 13
-
A collaborative Bayesian optimization method for estimation of failure probability bounds under mixed uncertainties
Wei, Pengfei; Beer, Michael; Faes, Matthias; ICASP14; Valdebenito, Marcos; Song, Jingwen; Hong, Fangqi (2023)Uncertainty quantification has been realized as of vital importance in structural reliability engineering to achieve credible results especially when the available information is scarce, incomplete, imprecise, etc., and ... -
A parallel Bayesian interval optimization approach for static analysis of structures with interval uncertainties
ICASP14; Beer, Michael; Broggi, Matteo; Dang, Chao; Ding, Chen (2023)This paper aims at approximating the bounds of the static response of structures with interval uncertainties. Such task is often challenging due to the large number of computationally intensive response evaluations required. ... -
Complete decoupled adaptive robust design optimization
ICASP14; Beer, Michael; Shi, Yan (2023)Robust design optimization (RDO) can provide an optimum design solution that is relatively insensitive to input uncertainties, thus possesses significant value in the design of engineering structures. Generally, the RDO ... -
Distribution-free stochastic model updating with copulas and staircase density functions
Beer, Michael; ICASP14; Kitahara, Masaru; Broggi, Matteo; Kitahara, Takeshi (2023)In stochastic model updating, a probabilistic model is assumed for the model parameters and its hyperparameters (e.g., means and variances) are calibrated to minimize the stochastic discrepancy between model outputs and ... -
Estimation of failure probability function and its bounds under random and interval variables: A fully decoupled approach using Bayesian active learning
Liu, Jinxing; Beer, Michael; Valdebenito, Marcos; ICASP14; Faes, Matthias; Dang, Chao (2023)Random and interval variables can coexist in a single structural reliability analysis problem. The existing methods for such hybrid reliability analysis, however, cannot balance the computational cost and accuracy well. ... -
First Excursion Probability Sensitivity Estimation by means of Multidomain Line Sampling
ICASP14; Beer, Michael; Jerez, Danko; Misraji, Mauricio; Faes, Matthias; Valdebenito, Marcos (2023)The first excursion probability offers the means for measuring the chances that one or more dynamic responses of a structural system subject to stochastic loading exceed a prescribed threshold level within a certain time ... -
Geotechnical uncertainty analysis with sparse data using interval field method
Feng, Chengxin; Beer, Michael; ICASP14; Faes, Matthias; Broggi, Matteo (2023)Spatial uncertainty in soil parameters has essential implications for dyke failure analysis. The currently popular random field methods used to characterize the spatial uncertainty of soils have been very influential. ... -
Multi-taper S-transform method and its application in the EPSD and coherence estimation of earthquake ground motions
ICASP14; Beer, Michael; Zhang, Yi-Ming; Xia, Yong; Huang, Zifeng (2023)Estimating the accurate evolutionary power spectral density (EPSD) and coherence of earthquake ground motions based on measured records is essential in earthquake engineering. This study introduces a multi-taper S-transform ... -
Non-stationary response autocorrelation function of nonlinear oscillators endowed with fractional derivative elements
ICASP14; Beer, Michael; Pantelous, Athanasios; Kougioumtzoglou, Ioannis; Fragkoulis, Vasileios (2023)An approximate analytical technique is developed for determining the non-stationary response autocorrelation function of nonlinear oscillators endowed with fractional derivative elements. Specifically, first, a stochastic ... -
Reliability-based multiobjective optimization of structural dynamical systems: A Markov sampling approach
ICASP14; Jerez, Danko; Jensen, Hector; Kusanovic, Danilo; Beer, Michael (2023)Reliability-based multiobjective optimization formulations give valuable insight for the design of structural dynamical systems under stochastic excitation. Nonetheless, since reliability assessment is often carried out ... -
Seismic reliability assessment of slopes subjected to stochastic pulse-like ground motions
ICASP14; Beer, Michael; Wang, Ruohan; Dang, Chao; Chen, Guan (2023)Near-fault pulse-like ground motions attract increasing attention in engineering because they tend to cause more severe damage to structures than ordinary ground motions. Landslides, as the most common natural hazard ... -
Stochastic incremental dynamics methodology for nonlinear structural systems endowed with fractional derivative terms subjected to code-compliant seismic excitation
ICASP14; Beer, Michael; Fragkoulis, Vasileios; Mitseas, Ioannis; Ni, Peihua (2023)A novel stochastic incremental dynamics (SIDA) methodology is developed for nonlinear structural systems with fractional derivative elements exposed to a seismic excitation vector consistently aligned with contemporary ... -
Uncertainty Quantification of Buckling Loads of Thin and Slender Structures Applying Linear and Nonlinear Analysis
Faes, Matthias; Freitag, Steffen; Fina, Marc; Beer, Michael; Broggi, Matteo; Wagner, Werner; ICASP14; Valdebenito, Marcos (2023)The evaluation of the buckling load is a crucial issue when designing different types of structures. It is well known that buckling loads of structures are highly sensitive to random deviations from a nominal design, which ...