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Online control for pressure regulation of oxygen mask based on neural network

Abstract

The aviation oxygen mask, which has a small volume of less than 1 L and strong air tightness, imposes extremely high requirements on control performance of the oxygen regulator. Based on analyses of the operation principle of oxygen supply system, the dynamic model is established through the combination of mechanism analysis and experimental data. Considering that the traditional fixed-parameter controllers are difficult to meet the control requirements with changes in pulmonary ventilation, this paper presents an online feedback controller based on neural network compensation (NNC), with connection weights that can be updated without pre-training. Then mathematical simulations at different respiratory parameters, such as respiratory rate, are performed to verify the superior lower inspiratory resistance of controller with NNC. In terms of hardware, an embedded AI control platform is to complete the experimental verification. Furthermore, the work may have downward compatibility to achieve stable oxygen supply in civil fields, such as medical ventilators, high-altitude expeditions.

article Article

date_range 2024

language English

link Link of the paper

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Zhao Ligan

Sun Qinglin

Sun Hao

Tao Jin

Chen Zengqiang

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Neural network

Online control

Pressure regulation

AI platform

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Assessment of reinforced concrete building damages following the Kahramanmaraş earthquakes in Malatya, Turkey (February 6, 2023)

Abstract

Earthquakes of magnitude Mw = 7.7 and Mw = 7.6 hit the city of Kahramanmaraş (Turkey) on 6 February 2023. These earthquakes caused serious damage in 11 provinces in Turkey resulting in over 50,000 deaths and huge economic losses with the collapse of thousands of buildings. Two consecutive devastating earthquakes have severely damaged the reinforced concrete building stock located in Malatya. There are many reasons reinforced concrete structures suffer damage under the influence of seismic loads. These reasons can be listed as material and section properties that do not comply with earthquake codes, workmanship defects, ground parameters that are not considered and design errors, as seen in field investigations after earthquakes in Turkey in the past. In this research, a field study was conducted on reinforced concrete buildings damaged after the earthquakes in Malatya province. The causes of structural damages in reinforced concrete buildings between 6–26 years of age were assessed in terms of design and material defects. The structural damages were mainly caused due to insufficient stirrups in structural members, short column, strong beam–weak column, failures of infill walls, soft story type collapse, poor concrete quality, and reinforcement corrosion. In addition to the field investigation, the spectrum relationships created using raw acceleration data obtained from DEMP (Disaster and Emergency Management Presidency) stations in Malatya province were compared with the design response spectra.

article Article

date_range 2024

language English

link Link of the paper

Collapsed buildings

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