Results 71 to 80 of about 20,198 (255)
Earthquake Engineering &Structural Dynamics, EarlyView.ABSTRACT Earthquake‐induced damage of structures can trigger cascading hazards, linking structural performance to nonstructural consequences. In current engineering practice, these two aspects are typically addressed separately, limiting the ability to account for such coupled effects in design.
Matjaž Dolšek +2 more
wiley +1 more source
Earthquake Engineering &Structural Dynamics, EarlyView.ABSTRACT Conventional single intensity measure (IM) fragility approaches with simplified component dependency assumptions overlook the progressive damage accumulation and evolving inter‐component correlations that govern system behavior under mainshock‐aftershock (MSAS) loading.
Muhammad Rashid, Mayuko Nishio
wiley +1 more source
Earthquake Engineering &Structural Dynamics, EarlyView.ABSTRACT Seismic fragility assessment of reinforced concrete (RC) bridges exposed to corrosive environments must reliably capture time‐dependent deterioration impacts. Climate change compounds this challenge through nonstationary temperature and humidity variations that accelerate bridge corrosion.
Yexiang Yan, Yazhou Xie
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
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
Log-moment estimators of the Nakagami-lognormal distribution
EURASIP Journal on Wireless Communications and Networking, 2019 In this paper, estimators of the Nakagami-lognormal (NL) distribution based on the method of log-moments have been derived and thoroughly analyzed. Unlike maximum likelihood (ML) estimators, the log-moment estimators of the NL distribution are obtained ...
Juan Reig +3 more
doaj +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
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
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
doaj
Atmospheric aerosol particle size distribution from Lidar data based on the lognormal distribution mode. [PDF]
Heliyon, 2022 Shi Y +6 more
europepmc +1 more source