Constructing an industrial system for a large-scale,non-grid-connected wind power industry is a key step towards the diverse utilization of wind power.However,wind power exploitation is not only a technical challenge ...Constructing an industrial system for a large-scale,non-grid-connected wind power industry is a key step towards the diverse utilization of wind power.However,wind power exploitation is not only a technical challenge but an industrial problem as well.The objective of this study is to introduce a concept of large-scale,non-grid-connected wind power(LSNGCWP) industrial zones and establish an evaluation model to assess their industrial arrangement.The data of wind energy,industry,nature resources and socio-economy were collected in this study.Using spatial overlay analysis of geographic information system,this study proposes a spatial arrangement of the LSNGCWP indus-trial zones in the coastal areas of China,which could be summarized as the 'one line and three circles' structure,which will contribute to the optimization of the industrial structure,advance the wind power technology,coordinate the multi-industrial cooperation,and upgrade the industrial transformation of China's coastal areas.展开更多
The Industrialized Building System （IBS） was recently introduced to minimize the time and cost of project construction. Accordingly, ensuring the integration of the connection of precast components in IBS structures...The Industrialized Building System （IBS） was recently introduced to minimize the time and cost of project construction. Accordingly, ensuring the integration of the connection of precast components in IBS structures is an important factor that ensures stability of buildings subjected to dynamic loads from earthquakes, vehicles, and machineries. However, structural engineers still lack knowledge on the proper connection and detailed joints o fiBS structure construction. Therefore, this study proposes a special precast concrete wall-to-wall connection system for dynamic loads that resists multidirectional imposed loads and reduces vibration effects （PI2014701723）. This system is designed to connect two adjacent precast wall panels by using two steel U-shaped channels （i.e., male and female joints）. During casting, each joint is adapted for incorporation into a respective wall panel after considering the following conditions： one side of the steel channel opens into the thickness face of the panel; a U-shaped rubber is implemented between the two channels to dissipate the vibration effect; and bolts and nuts are used to create an extension between the two U-shaped male and female steel channels. The developed finite element model of the precast wall is subjected to cyclic loads to evaluate the performance of the proposed connection during an imposed dynamic load. Connection performance is then compared with conventional connections based on the energy dissipation, stress, deformation, and concrete damage in the plastic range. The proposed precast connection is capable of exceeding the energy absorption of precast walls subjected to dynamic load, thereby improving its resistance behavior in all principal directions.展开更多
There is a paradigm shift happening in automotive industry towards electric vehicles as environment and sustainability issues gainedmomentum in the recent years among potential users.Connected and Autonomous Electric ...There is a paradigm shift happening in automotive industry towards electric vehicles as environment and sustainability issues gainedmomentum in the recent years among potential users.Connected and Autonomous Electric Vehicle(CAEV)technologies are fascinating the automakers and inducing them to manufacture connected autonomous vehicles with self-driving features such as autopilot and self-parking.Therefore,Traffic Flow Prediction(TFP)is identified as a major issue in CAEV technologies which needs to be addressed with the help of Deep Learning(DL)techniques.In this view,the current research paper presents an artificial intelligence-based parallel autoencoder for TFP,abbreviated as AIPAE-TFP model in CAEV.The presented model involves two major processes namely,feature engineering and TFP.In feature engineering process,there are multiple stages involved such as feature construction,feature selection,and feature extraction.In addition to the above,a Support Vector Data Description(SVDD)model is also used in the filtration of anomaly points and smoothen the raw data.Finally,AIPAE model is applied to determine the predictive values of traffic flow.In order to illustrate the proficiency of the model’s predictive outcomes,a set of simulations was performed and the results were investigated under distinct aspects.The experimentation outcomes verified the effectual performance of the proposed AIPAE-TFP model over other methods.展开更多
It is possible to say that each of the Mexican and Turkish automotive industries is developed as an assembly industry and shows great similarities to each other within this framework.However,due to its geographical pr...It is possible to say that each of the Mexican and Turkish automotive industries is developed as an assembly industry and shows great similarities to each other within this framework.However,due to its geographical proximity,the role of US-based automotive companies in the formation of the Mexican automotive industry has become greater,while the Ford Motor company,which entered the US automotive industry in Turkey,was able to take part only with the initiatives of the Otosan company in the 1960s.Another feature of the 1960s is that there were efforts to manufacture domestic cars in Turkey.Since the 1980s,in line with the direction of development of the world automotive industry,Turkey has been trying to make the country’s investment environment attractive for foreign international companies to produce in their countries.In Mexico,even with the possibility of reaching new markets by providing 1990 regional agreements NAFTA ruling party of the Mexican automotive industry,we can say that U.S.firms were largely determined by the direction of development,Turkey’s automotive industry development direction of the company is determined by the first European,then we can say that companies are becoming more efficient in the Far East countries.On the other hand,the US Ford Motor company considered it sufficient to be involved in the Turkey directly.Turkey has decided to return from the policy of attracting foreign investments to its country since 2006,and in 2011 it was decided to produce domestic cars.As of December 2019,a prototype of a domestic car has been produced by the Automobile Enterprise Group of Turkey and work has begun on mass production.Thus,the problem of adaptation to the production of electric vehicles was decided to be overcome by moving to a new stage on the way to technology development.This approach was used by the South Korean automotive industry in the 1980s and was successful,and the ability to develop technology was acquired in a short time.In order to see the success of the application of this method in Turkey,it is thought that it is necessary to wait for the result of the domestic automobile project.Mexico’s policy of opening up more to foreign investments has been successful since the 1990s,and Mexico has become the most productive country in Latin America,surpassing Brazil in automotive industry production.展开更多
基金Under the auspices of National Basic Research Program (No.2007CB210306)
文摘Constructing an industrial system for a large-scale,non-grid-connected wind power industry is a key step towards the diverse utilization of wind power.However,wind power exploitation is not only a technical challenge but an industrial problem as well.The objective of this study is to introduce a concept of large-scale,non-grid-connected wind power(LSNGCWP) industrial zones and establish an evaluation model to assess their industrial arrangement.The data of wind energy,industry,nature resources and socio-economy were collected in this study.Using spatial overlay analysis of geographic information system,this study proposes a spatial arrangement of the LSNGCWP indus-trial zones in the coastal areas of China,which could be summarized as the 'one line and three circles' structure,which will contribute to the optimization of the industrial structure,advance the wind power technology,coordinate the multi-industrial cooperation,and upgrade the industrial transformation of China's coastal areas.
基金financial support from the Housing Research Center of UPMNAEIM Company
文摘The Industrialized Building System （IBS） was recently introduced to minimize the time and cost of project construction. Accordingly, ensuring the integration of the connection of precast components in IBS structures is an important factor that ensures stability of buildings subjected to dynamic loads from earthquakes, vehicles, and machineries. However, structural engineers still lack knowledge on the proper connection and detailed joints o fiBS structure construction. Therefore, this study proposes a special precast concrete wall-to-wall connection system for dynamic loads that resists multidirectional imposed loads and reduces vibration effects （PI2014701723）. This system is designed to connect two adjacent precast wall panels by using two steel U-shaped channels （i.e., male and female joints）. During casting, each joint is adapted for incorporation into a respective wall panel after considering the following conditions： one side of the steel channel opens into the thickness face of the panel; a U-shaped rubber is implemented between the two channels to dissipate the vibration effect; and bolts and nuts are used to create an extension between the two U-shaped male and female steel channels. The developed finite element model of the precast wall is subjected to cyclic loads to evaluate the performance of the proposed connection during an imposed dynamic load. Connection performance is then compared with conventional connections based on the energy dissipation, stress, deformation, and concrete damage in the plastic range. The proposed precast connection is capable of exceeding the energy absorption of precast walls subjected to dynamic load, thereby improving its resistance behavior in all principal directions.
文摘There is a paradigm shift happening in automotive industry towards electric vehicles as environment and sustainability issues gainedmomentum in the recent years among potential users.Connected and Autonomous Electric Vehicle(CAEV)technologies are fascinating the automakers and inducing them to manufacture connected autonomous vehicles with self-driving features such as autopilot and self-parking.Therefore,Traffic Flow Prediction(TFP)is identified as a major issue in CAEV technologies which needs to be addressed with the help of Deep Learning(DL)techniques.In this view,the current research paper presents an artificial intelligence-based parallel autoencoder for TFP,abbreviated as AIPAE-TFP model in CAEV.The presented model involves two major processes namely,feature engineering and TFP.In feature engineering process,there are multiple stages involved such as feature construction,feature selection,and feature extraction.In addition to the above,a Support Vector Data Description(SVDD)model is also used in the filtration of anomaly points and smoothen the raw data.Finally,AIPAE model is applied to determine the predictive values of traffic flow.In order to illustrate the proficiency of the model’s predictive outcomes,a set of simulations was performed and the results were investigated under distinct aspects.The experimentation outcomes verified the effectual performance of the proposed AIPAE-TFP model over other methods.
文摘It is possible to say that each of the Mexican and Turkish automotive industries is developed as an assembly industry and shows great similarities to each other within this framework.However,due to its geographical proximity,the role of US-based automotive companies in the formation of the Mexican automotive industry has become greater,while the Ford Motor company,which entered the US automotive industry in Turkey,was able to take part only with the initiatives of the Otosan company in the 1960s.Another feature of the 1960s is that there were efforts to manufacture domestic cars in Turkey.Since the 1980s,in line with the direction of development of the world automotive industry,Turkey has been trying to make the country’s investment environment attractive for foreign international companies to produce in their countries.In Mexico,even with the possibility of reaching new markets by providing 1990 regional agreements NAFTA ruling party of the Mexican automotive industry,we can say that U.S.firms were largely determined by the direction of development,Turkey’s automotive industry development direction of the company is determined by the first European,then we can say that companies are becoming more efficient in the Far East countries.On the other hand,the US Ford Motor company considered it sufficient to be involved in the Turkey directly.Turkey has decided to return from the policy of attracting foreign investments to its country since 2006,and in 2011 it was decided to produce domestic cars.As of December 2019,a prototype of a domestic car has been produced by the Automobile Enterprise Group of Turkey and work has begun on mass production.Thus,the problem of adaptation to the production of electric vehicles was decided to be overcome by moving to a new stage on the way to technology development.This approach was used by the South Korean automotive industry in the 1980s and was successful,and the ability to develop technology was acquired in a short time.In order to see the success of the application of this method in Turkey,it is thought that it is necessary to wait for the result of the domestic automobile project.Mexico’s policy of opening up more to foreign investments has been successful since the 1990s,and Mexico has become the most productive country in Latin America,surpassing Brazil in automotive industry production.
