Results 71 to 80 of about 4,474,743 (294)
Earthquake Engineering &Structural Dynamics, EarlyView.ABSTRACT Retaining walls are key geotechnical components of road infrastructure, whose seismic performance directly affects the resilience of transportation networks. Despite their importance, seismic fragility models for retaining walls available in the literature refer only to specific case studies.
Amendola C., Conti R., de Silva F.
wiley +1 more source
Complex Versus Parsimonious Site‐Based Stochastic Ground Motion Models: Which One Is Better?
Earthquake Engineering &Structural Dynamics, EarlyView.ABSTRACT Stochastic ground motion models (GMMs) provide a probabilistic representation of seismic input and are increasingly important for uncertainty quantification (UQ) in earthquake engineering. This study focuses on site‐based stochastic GMMs, which learn the statistical features of selected datasets of seismic records and generate statistically ...
Maijia Su +2 more
wiley +1 more source
Time‐Variant Seismic Fragility of Reinforced Concrete Bridge Piers Considering Degradation Phenomena
Earthquake Engineering &Structural Dynamics, EarlyView.ABSTRACT Aging and environmental exposure progressively deteriorate the physical and mechanical properties of construction materials, thereby affecting the safety and functionality of existing infrastructure. Corrosion of steel rebars in reinforced concrete structures is widely acknowledged as the most common and detrimental degradation phenomenon, as ...
Paolo Andrea Miglietta +4 more
wiley +1 more source
Ubiquitous lognormal distribution of neuron densities in mammalian cerebral cortex. [PDF]
Cereb Cortex, 2023 Morales-Gregorio A +2 more
europepmc +1 more source
Pro-Poor Growth and the Lognormal Distribution
, 2011 A widely accepted criterion for the pro-poorness of an income growth pattern is that it should reduce a (chosen) measure of poverty by \textit{more} than if all incomes were growing equi-proportionately.
Lambert, Peter J.
core
The Mean Difference for Lognormal Distribution [PDF]
, 2016 The calculation of the mean difference for the lognormal distribution involves several hard integrals featuring the error function. In this paper, considering two particular cases of an integral of the exponential function for the complement to one of ...
GIRONE, Giovanni, MANCA, FABIO
core +1 more source
Directionality Scaling of Scalar and Vector Ground Motion Intensity Measures
Earthquake Engineering &Structural Dynamics, EarlyView.ABSTRACT The azimuthal directionality of earthquake ground‐motion intensity measures (IMs) is conventionally described by the ratios between the orientation‐independent maximum (RotD100) and median (RotD50) values over the horizontal plane. This study presents a refined characterization of the directionality of 31 IMs, including spectral accelerations (
Mao‐Xin Wang, Gang Wang
wiley +1 more source
Improvement in the Between-Class Variance Based on Lognormal Distribution for Accurate Image Segmentation. [PDF]
Entropy (Basel), 2022 Jumiawi WAH, El-Zaart A.
europepmc +1 more source
Earthquake Engineering &Structural Dynamics, EarlyView.ABSTRACT Reliable estimation of the principal periods is essential for regional seismic risk assessment (RSRA) of urban building portfolios. For tall buildings, however, existing period‐prediction formulas are constrained by the lack of representative data, while building translational azimuths are neglected despite their importance for regional ...
Zi‐Nan Wu +2 more
wiley +1 more source
On Modelling Insurance Data by Using a Generalized Lognormal Distribution || Sobre la modelización de datos de seguros usando una distribución lognormal generalizada [PDF]
Revista de Métodos Cuantitativos para la Economía y la Empresa, 2014 In this paper, a new heavy-tailed distribution is used to model data with a strong right tail, as often occurs in practical situations. The distribution proposed is derived from the lognormal distribution, by using the Marshall and Olkin procedure.
García, Victoriano J. +2 more
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