Results 131 to 140 of about 535 (196)
Earthquake Spectra, Volume 42, Issue 2, May 2026.As seismic design paradigms shift toward functional recovery, there is a need for efficient methods to achieve desired decision variables (DVs), such as probability of replacement, repair cost, and downtime of the building, for seismically isolated buildings.
Huy G. Pham, Tracy C. Becker
wiley +1 more source
AIChE Journal, Volume 72, Issue 4, April 2026.ABSTRACT Flexibility is a crucial characteristic of industrial systems that face increasing volatilities and is therefore essential to ensure feasible operation under uncertainty. Flexibility is often closely tied to the design of a system, and careful consideration must be taken to understand the trade‐off between design cost and operational ...
Jnana Sai Jagana +3 more
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Why Is the Peak Group Analysis So Effective for IR Spectra Analysis?
Journal of Chemometrics, Volume 40, Issue 4, April 2026.ABSTRACT Peak group analysis (PGA), an MCR algorithm, has proven to be very successful in extracting pure component spectra and concentration profiles from IR and Raman spectral data when investigating carbonylation reactions with transition metal catalysts.
Klaus Neymeyr +4 more
wiley +1 more source
Finite Element Modeling of a Thermoplastic Polyurethane Ball for Rolling Seismic Isolation
Earthquake Engineering &Structural Dynamics, Volume 55, Issue 4, Page 926-946, 10 April 2026.ABSTRACT The Elastomeric‐Ball Pendulum (EBP) system, which consists of an elastomeric ball rolling on a spherical concrete surface, has been proposed as an isolation system for lightweight structures. Experimental tests have shown that the mechanics of such a rolling ball are remarkably complicated because the vertical load changes the shape of the ...
Sergio I. Reyes +2 more
wiley +1 more source
Scour‐Conditioned Seismic Fragility Analysis of Monopile‐Supported Offshore Wind Turbines
Earthquake Engineering &Structural Dynamics, Volume 55, Issue 4, Page 947-967, 10 April 2026.ABSTRACT Monopile‐supported offshore wind turbines (MS‐OWTs) are increasingly deployed in seismic coastal regions, where they face compound risks from earthquake loading and seabed scour. While past studies have addressed these hazards separately, seismic fragility under evolving scour conditions remains insufficiently understood. This study introduces
Francisco Pinto +3 more
wiley +1 more source
Earthquake Engineering &Structural Dynamics, Volume 55, Issue 5, Page 1157-1175, 25 April 2026.ABSTRACT This study develops a comprehensive framework for assessing time and state‐dependent aftershock damage accumulation under an M9.0 megathrust interface earthquake in the Cascadia Subduction Zone (CSZ). The framework integrates aftershock probabilistic seismic hazard analysis (APSHA) and state‐dependent fragility analysis (SDFA) within a ...
Hongzhou Zhang, Yazhou Xie
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International Journal for Numerical Methods in Fluids, Volume 98, Issue 4, Page 492-509, April 2026.This paper presents a finite element method for simulating highly viscoelastic flows of pure polymer melts using the Elastic Viscous Stress Splitting formulation. The method avoids higher‐order derivatives in the weak formulation by reformulating the convective term in the constitutive equation.
R. Ahmad, P. Zajac, S. Turek
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GloMarGridding: A Python Toolkit for Flexible Spatial Interpolation in Climate Applications
Geoscience Data Journal, Volume 13, Issue 2, April 2026.Global surface climate datasets contain structural uncertainty that is difficult to attribute to individual processing steps. We present GloMarGridding, a Python package that isolates the spatial interpolation component using Gaussian Process Regression (or kriging) to generate spatially complete fields and uncertainty estimates. The techniques used in
Richard C. Cornes +6 more
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DASNordicSLR—A Regional Dataset of Sea Level Projections for Northern Europe
Geoscience Data Journal, Volume 13, Issue 2, April 2026.Relative sea level projections for Northern Europe (DASNordicSLR) combine IPCC‐AR6 projections with vertical land motion data from NKG2016LU. The resulting high‐resolution dataset enables a realistic representation of regional sea level change along coastlines, supporting climate services and coastal risk assessments with spatially detailed insights ...
Corinna Jensen +2 more
wiley +1 more source
Hierarchical Testing of a Hybrid Machine Learning‐Physics Global Atmosphere Model
AGU Advances, Volume 7, Issue 2, April 2026.Abstract Machine learning (ML)‐based models have demonstrated high skill and computational efficiency, often outperforming conventional physics‐based models in weather and subseasonal predictions. While prior studies have assessed their fidelity in capturing synoptic‐scale atmospheric dynamics, their performance across timescales and under out‐of ...
Ziming Chen +11 more
wiley +1 more source