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Pooria Akbarzadeh on Muck Rack

Pooria Akbarzadeh

As seen in: Wiley Online Library, MDPI
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Articles

Cyclic Ratcheting Strain‐Driven Non‐Homogeneous Markov Framework for Probabilistic Fatigue and Remaining Useful Life Prediction of Composite Single‐Lap Adhesive Joints

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By Seyed Alireza Mousavi, Baluchestan Iran, Pooria Akbarzadeh
| Wiley Online Library Verified
1 Introduction Adhesive bonding in composite structures has become indispensable in aerospace, renewable energy, and automotive sectors, offering lightweight designs with superior stress distribution compared to mechanical fastening. These industries demand fatigue-resistant joints that can be reliably monitored, enabling predictive maintenance without excessive safety factors.
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A Novel Framework for Estimating the Bowen Ratio Over Small Water Bodies

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By Amir Rezazadeh, Pooria Akbarzadeh, Mohammad Mohsen Shahmardan, Milad Aminzadeh
| Wiley Online Library Verified
1 Introduction Quantifying dynamics of the Bowen ratio (the ratio of sensible heat flux, H $$ H $$ , to latent heat flux, LE $$ LE $$ ) over water surfaces is crucial for understanding land-atmosphere energy exchanges, local climatic patterns, and evaporation mass loss rates (Kalma and Jupp 1990; Aminzadeh, Lehmann, and Or 2018; Aminzadeh et al. 2024; Millán, Estrela, and Caselles 1995; Yang and Lau 2004).
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Prediction of Dispersion Rate of Airborne Nanoparticles in a Gas-Liquid Dual-Microchannel Separated by a Porous Membrane: A Numerical Study

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By Carlotta Guiducci, Navid Kashaninejad, Zohreh Sheidaei, Pooria Akbarzadeh
| MDPI
Abstract : Recently, there has been increasing attention toward inhaled nanoparticles (NPs) to develop inhalation therapies for diseases associated with the pulmonary system and investigate the toxic effects of hazardous environmental particles on human lung health.
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