This work presents a method of optimization of the photovoltaic generator (PV) based on the electrical model with a diode. The method consists of solving a second degree equation representing the derivative of the pow...This work presents a method of optimization of the photovoltaic generator (PV) based on the electrical model with a diode. The method consists of solving a second degree equation representing the derivative of the power function. The current and the maximum voltage being determined, the maximum power is deduced. Four popular types of photovoltaic panels from different manufacturers were considered for the study: BYD Model (BYD 320P6C-36), Atersa Grupo Model (A-320P GSE), SunPower Model (E19-320) and Model operated in the 50 MW power plant of Nouakchott-Mauritania (JKM320PP-72-V) of JinkoSolar. A comparative study is carried out between the simulated results and the data of the manufacturer of different technologies. The results obtained prove the effectiveness of the proposed method and that the BYD 320P6C-36 model is the most efficient among the four different technologies studied.展开更多
Since many years ago, the substitution of cement by other cementitious supplementary elements has being a purpose for many researchers. This is to reduce the impact of producing cement on our environment. In this arti...Since many years ago, the substitution of cement by other cementitious supplementary elements has being a purpose for many researchers. This is to reduce the impact of producing cement on our environment. In this article, we are interested in the possibility of substituting cement with titanium dioxide and titanium dioxide + fly ash. To achieve this purpose, we have manufactured mortars and cement pastes specimens with different rates of replacement of cement by titanium dioxide (0%, 0.1%, 1%) on the one hand and titanium dioxide + fly ash on the overhand. The flexural and compressive strength of each specimen has been determined.展开更多
The research of materials with good properties is one of the important concerns of scientists groups, and more again in region where materials are subjected to freeze and thaw cycles. In the case of this paper, it has...The research of materials with good properties is one of the important concerns of scientists groups, and more again in region where materials are subjected to freeze and thaw cycles. In the case of this paper, it has been a matter of evaluating of the effect of carbon nanotubes on concrete resistance to freeze and thaw cycles. Thus, it has been manufactured concretes with different rates of addition (0%, 0.1%, 0.5%, 1% bwc) of cement by carbon nanotubes. The durability factor, determined for C30 specimens at 28 days, shows that C005 provides a better resistance to freezing-thawing cycles with a 54.96 as index.展开更多
A road network is essential to a country’s transportation and socio-economic development.Its maintenance requires regular monitoring to guide maintenance decisions.Artificial intelligence now enables the automatic de...A road network is essential to a country’s transportation and socio-economic development.Its maintenance requires regular monitoring to guide maintenance decisions.Artificial intelligence now enables the automatic detection of damage,but monitoring a roadway does not end with detection.It also involves estimating the severity and extent of damage and determining the Is index.Therefore,this study allowed the development of a digital tool based on artificial intelligence and image processing for complete monitoring.This consists of detecting the roadway damages,then estimating their severity and extent to calculate the index Is.Four databases were designed from videos of damaged roads collected on different roads in Benin.These data were used in transfer learning to train the YOLOv9 and Roboflow 3.0 Object Detection models.A script was developed to estimate the extent of the degradations,setting a collection speed of 10 km/h,a picking height of 1.20 m and a viewing angle equal to 45˚,covering the entire width of the roadway.Another script determines the index Is by estimating the cracking and deformation indices,with possible corrections depending on the repairs present.The best model obtained,ROCNN4,results from training Roboflow 3.0 Object Detection with the fourth base.It detects 19 classes of degradations with a precision P of 90.8%,a mAP of 91.8%and a recall R of 89.5%.These results pave the way for better road maintenance planning by providing managers with a reliable and automated decision-support tool.They thus help optimize intervention costs and improve the durability of the road network.展开更多
文摘This work presents a method of optimization of the photovoltaic generator (PV) based on the electrical model with a diode. The method consists of solving a second degree equation representing the derivative of the power function. The current and the maximum voltage being determined, the maximum power is deduced. Four popular types of photovoltaic panels from different manufacturers were considered for the study: BYD Model (BYD 320P6C-36), Atersa Grupo Model (A-320P GSE), SunPower Model (E19-320) and Model operated in the 50 MW power plant of Nouakchott-Mauritania (JKM320PP-72-V) of JinkoSolar. A comparative study is carried out between the simulated results and the data of the manufacturer of different technologies. The results obtained prove the effectiveness of the proposed method and that the BYD 320P6C-36 model is the most efficient among the four different technologies studied.
文摘Since many years ago, the substitution of cement by other cementitious supplementary elements has being a purpose for many researchers. This is to reduce the impact of producing cement on our environment. In this article, we are interested in the possibility of substituting cement with titanium dioxide and titanium dioxide + fly ash. To achieve this purpose, we have manufactured mortars and cement pastes specimens with different rates of replacement of cement by titanium dioxide (0%, 0.1%, 1%) on the one hand and titanium dioxide + fly ash on the overhand. The flexural and compressive strength of each specimen has been determined.
文摘The research of materials with good properties is one of the important concerns of scientists groups, and more again in region where materials are subjected to freeze and thaw cycles. In the case of this paper, it has been a matter of evaluating of the effect of carbon nanotubes on concrete resistance to freeze and thaw cycles. Thus, it has been manufactured concretes with different rates of addition (0%, 0.1%, 0.5%, 1% bwc) of cement by carbon nanotubes. The durability factor, determined for C30 specimens at 28 days, shows that C005 provides a better resistance to freezing-thawing cycles with a 54.96 as index.
文摘A road network is essential to a country’s transportation and socio-economic development.Its maintenance requires regular monitoring to guide maintenance decisions.Artificial intelligence now enables the automatic detection of damage,but monitoring a roadway does not end with detection.It also involves estimating the severity and extent of damage and determining the Is index.Therefore,this study allowed the development of a digital tool based on artificial intelligence and image processing for complete monitoring.This consists of detecting the roadway damages,then estimating their severity and extent to calculate the index Is.Four databases were designed from videos of damaged roads collected on different roads in Benin.These data were used in transfer learning to train the YOLOv9 and Roboflow 3.0 Object Detection models.A script was developed to estimate the extent of the degradations,setting a collection speed of 10 km/h,a picking height of 1.20 m and a viewing angle equal to 45˚,covering the entire width of the roadway.Another script determines the index Is by estimating the cracking and deformation indices,with possible corrections depending on the repairs present.The best model obtained,ROCNN4,results from training Roboflow 3.0 Object Detection with the fourth base.It detects 19 classes of degradations with a precision P of 90.8%,a mAP of 91.8%and a recall R of 89.5%.These results pave the way for better road maintenance planning by providing managers with a reliable and automated decision-support tool.They thus help optimize intervention costs and improve the durability of the road network.
