High thin-walled cold-formed steel purlins of the Z cross section are important elements of large-span steel structures in the construction industry. The present numerical study uses the finite element method to analyse the 300 mm and 350 mm high Z cross sections in-depth. The prepared numerical models are verified and validated at several levels with experiments that have been previously published. Significant agreement between the numerical models and the experimental results regarding Mises stress, proportional strain, failure mode, and force-deformation diagram have been obtained. With the verification, the presented procedure and partial findings can be applied to other similar problems. The results can be used to help research and corporate groups optimise the structural design of cold-formed thin-walled steel structures.
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http://dx.doi.org/10.3390/ma17174392 | DOI Listing |
Phys Chem Chem Phys
January 2025
School of Advanced Manufacturing Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China.
This paper presents a multiscale computational model, 'micro-to-meso-to-macro', to simulate polydopamine coated gold nanoparticles (AuNP@PDA) for assisted tumor photothermal therapy (PTT). The optical properties, mainly refractive index, of the PDA unit molecules are calculated using the density functional theory (DFT) method in this multiscale model. Subsequently, the thermodynamic properties, including thermal conductivity and heat capacity, of the PDA cells and AuNP@PDA particles are calculated using molecular dynamics (MD) simulation.
View Article and Find Full Text PDFFront Public Health
January 2025
Graduate Program in Nursing at the Federal University of Pará (PPGENF/UFPA), Universidade Federal do Pará, Belém, Pará, Brazil.
Background: Access to healthcare services for the population with long COVID is a challenge, as healthcare systems have been tasked with responding effectively to the extensive clinical heterogeneity of this disease.
Objective: To analyze the factors associated with access to health services among people with long COVID in the Brazilian Amazon.
Methods: This is a cross-sectional study using a quantitative method, conducted through an online survey between May 2023 and January 2024.
Front Public Health
January 2025
Medical Affairs Department, Emergency General Hospital, Beijing, China.
Background: While temperature extremes have been shown to be associated with an increased risk of hospital admissions, evidence of their impact on the length of hospital stay, which may capture the lingering effects of temperature extremes, is scarce.
Objectives: We aimed to evaluate the association between daily variation in ambient temperature and daily variation in daily total length of stay (daily TLOS), a composite measure encompassing the daily count of hospital admissions and their corresponding length of hospital stay among cardiopulmonary patients. Additionally, we quantified the burden of TLOS attributable to non-optimal temperatures among Hong Kong's older adult population.
Front Public Health
January 2025
Department of Statistics, College of Science, Aksum University, Aksum, Ethiopia.
Background: The process of childbirth involves significant risks, particularly when certain high-risk fertility behaviors (HRFBs) are observed. HRFB of birth includes maternal age below 18 years or above 34 years at the time of childbirth, having a child born after a short birth interval (24 months), and having a high parity (more than three children). The majority of child stunting cases were linked to high-risk reproductive practices.
View Article and Find Full Text PDFFront Public Health
January 2025
Department of Immunity, Quzhou Center for Disease Control and Prevention, Quzhou, Zhejiang, China.
Background: HFMD is a common infectious disease that is prevalent worldwide. In many provinces in China, there have been outbreaks and epidemics of whooping cough, posing a threat to public health.
Purpose: It is crucial to grasp the epidemiological characteristics of HFMD in Quzhou and establish a prediction model for HFMD to lay the foundation for early warning of HFMD.
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