In order to study the seismic performance of typical approach bridge for port project, the seismic vulnerability model was created. 100 of the earthquake motion records are selected from the database of Pacific Earthq...In order to study the seismic performance of typical approach bridge for port project, the seismic vulnerability model was created. 100 of the earthquake motion records are selected from the database of Pacific Earthquake Research Centre, In order to obtain the maximum responses of structure dynamic response, the model was calculated by using non-linear time history analysis. Then reliability analysis method was used to generate the fragility curves of bridge components. And compared two kinds of bearing made differences to structure＇ s vulnerability. Researches show that bearing is easy to breakdown with earthquake action. Isolation bearing has good effect, and significantly reduces failure probability, fmaUy the fragility curves obtained can be used to evaluate the seismic performance of continuous beam bridge for port project, and provide the basis for seismic design of bridges for port project.展开更多
Solid electrolyte based-resistive memories have been considered to be a potential candidate for future information technology with applications in non-volatile memory, logic circuits and neuromorphic computing. A cond...Solid electrolyte based-resistive memories have been considered to be a potential candidate for future information technology with applications in non-volatile memory, logic circuits and neuromorphic computing. A conductive filament model has been generally accepted to be the underlying mechanism for the resistive switching. However, the growth dynamics of such conductive filaments is still not fully understood. Here, we explore the controllability of filament growth by correlating observations of the filament growth with the electric field distribution and several other factors. The filament growth behavior has been recorded using in situ transmission electron microscopy. By studying the real- time recorded filament growth behavior and morphologies, we have been able to simulate the electric field distribution in accordance with our observations. Other factors have also been shown to affect the filament growth, such as Joule heating and electrolyte infrastructure. This work provides insight into the controllable growth of conductive filaments and will help guide research into further functionalities of nanoionic resistive memories.展开更多
文摘In order to study the seismic performance of typical approach bridge for port project, the seismic vulnerability model was created. 100 of the earthquake motion records are selected from the database of Pacific Earthquake Research Centre, In order to obtain the maximum responses of structure dynamic response, the model was calculated by using non-linear time history analysis. Then reliability analysis method was used to generate the fragility curves of bridge components. And compared two kinds of bearing made differences to structure＇ s vulnerability. Researches show that bearing is easy to breakdown with earthquake action. Isolation bearing has good effect, and significantly reduces failure probability, fmaUy the fragility curves obtained can be used to evaluate the seismic performance of continuous beam bridge for port project, and provide the basis for seismic design of bridges for port project.
文摘Solid electrolyte based-resistive memories have been considered to be a potential candidate for future information technology with applications in non-volatile memory, logic circuits and neuromorphic computing. A conductive filament model has been generally accepted to be the underlying mechanism for the resistive switching. However, the growth dynamics of such conductive filaments is still not fully understood. Here, we explore the controllability of filament growth by correlating observations of the filament growth with the electric field distribution and several other factors. The filament growth behavior has been recorded using in situ transmission electron microscopy. By studying the real- time recorded filament growth behavior and morphologies, we have been able to simulate the electric field distribution in accordance with our observations. Other factors have also been shown to affect the filament growth, such as Joule heating and electrolyte infrastructure. This work provides insight into the controllable growth of conductive filaments and will help guide research into further functionalities of nanoionic resistive memories.
