Results 121 to 130 of about 832,329 (300)

Flood fragility curve derivation using finite element reliability analysis

open access: yes, 2016
In countries that suffer from heavy rain such as Korea, bridges have to be prepared for a sudden water level increase. However, research on the flood risk assessment for bridges has gained less attention than earthquakes, even though one of the major ...
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core  

Is an Apple an Orange? A Large Language Model Benchmark for Candidate Term Extraction and Subclass Decisions Against Upper Ontologies in Engineering and Materials Science

open access: yesAdvanced Engineering Materials, EarlyView.
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch   +3 more
wiley   +1 more source

The Fragility of the Phillips Curve: A Bumpy Ride in the Frequency Domain [PDF]

open access: yes, 2007
We provide a robustness check of the US Phillips curve in the frequency domain. We design frequency-specific coeffcients of correlation (FSCC) and regression (FSCR), based on our frequency-specific data extraction procedure. Being real-valued, signed and normalised, the FSCC is superior to traditional indicators such as coherence and cospectrum.
openaire   +1 more source

Monitoring Banking Sector Fragility [PDF]

open access: yes
In the financial crisis literature, it is usually argued that, contrary to the case of currency crises, building a time series index to identify banking crisis episodes is highly difficult, particularly because of the lack of reliable data on banking ...
Aykut Kibritcioglu
core  

Symbolic Regression and Multi‐Objective Optimization of the Flory–Huggins Interaction Parameter for Hydrogels

open access: yesAdvanced Engineering Materials, EarlyView.
We develop a data‐driven method to derive the mathematical expressions of the Flory–Huggins interaction parameter χ for the swelling behavior of temperature–responsive hydrogels. Starting from initial assumptions of χ, our workflow combines Bayesian optimization, Flory–Rehner theory, and symbolic regression to generate candidate χ expressions.
Yawen Wang   +2 more
wiley   +1 more source

Development of Seismic Fragility Curve for Railway Tunnel Crossing Fracture Zone

open access: yesBuildings
This study investigates the seismic fragility of railway tunnels intersecting fractured geological zones using a nonlinear numerical approach. A series of dynamic analyses was performed on tunnel models subjected to multiple ground motions with varying ...
Woo Seung Song   +6 more
doaj   +1 more source

A Lightweight Procedural Layer for Hybrid Experimental–Computational Workflows in Materials Science

open access: yesAdvanced Engineering Materials, EarlyView.
We unveil a prototype hybrid‐workflow framework that fuses automatedcomputation with hands‐on experiments. Built atop pyiron, a lightweight, parameterized layer translates procedure descriptions into executable manual steps, syncing instrument settings, human interventions, and data capture in real‐time today.
Steffen Brinckmann   +8 more
wiley   +1 more source

Risk-targeted seismic hazard model for the Philippines

open access: yesEarthquake Research Advances
The Philippines' current seismic design framework, grounded in outdated uniform hazard approaches, fails to ensure consistent structural safety due to regional variations in seismic risk and structural fragility. This study aims to develop the first risk-
Rhommel Grutas   +6 more
doaj   +1 more source

Market Indicators, Bank Fragility, and Indirect Market Discipline [PDF]

open access: yes
We examine whether two commonly used indicators of bank fragility, the subordinated debt spread and KMV’s distance to default, yield signals in line with supervisors’ interests.
Giuseppe Vulpes   +2 more
core  

Optimization of the Production of Rubber Compounds Using Mathematical Models

open access: yesAdvanced Engineering Materials, EarlyView.
Rubber compounds were mixed in a batch internal mixer, and symbolic regression was used to derive mathematical models linking recipe and process parameters to ram path, torque, and mixing quality (incorporation, dispersion, distribution). Subsequent optimization with evolutionary algorithms identified operating conditions that reduce specific energy ...
Anke Bardehle   +7 more
wiley   +1 more source

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