Predicting the mechanical behaviors of structure and perceiving the anomalies in advance are essential to ensuring the safe operation of infrastructures in the long run.In addition to the incomplete consideration of i...Predicting the mechanical behaviors of structure and perceiving the anomalies in advance are essential to ensuring the safe operation of infrastructures in the long run.In addition to the incomplete consideration of influencing factors,the prediction time scale of existing studies is rough.Therefore,this study focuses on the development of a real-time prediction model by coupling the spatio-temporal correlation with external load through autoencoder network(ATENet)based on structural health monitoring(SHM)data.An autoencoder mechanism is performed to acquire the high-level representation of raw monitoring data at different spatial positions,and the recurrent neural network is applied to understanding the temporal correlation from the time series.Then,the obtained temporal-spatial information is coupled with dynamic loads through a fully connected layer to predict structural performance in next 12 h.As a case study,the proposed model is formulated on the SHM data collected from a representative underwater shield tunnel.The robustness study is carried out to verify the reliability and the prediction capability of the proposed model.Finally,the ATENet model is compared with some typical models,and the results indicate that it has the best performance.ATENet model is of great value to predict the realtime evolution trend of tunnel structure.展开更多
In megacities, the phenomenon of the highrise buildings which add fashion elements into the body and facades seems as big sculptures. Architect composed their work by applying the cross-pollination of design method. T...In megacities, the phenomenon of the highrise buildings which add fashion elements into the body and facades seems as big sculptures. Architect composed their work by applying the cross-pollination of design method. They adopted the various elements to enrich their building＇s facade in order to look different. On the other hand, the traditional architecture expressed the tribe civilization by placing their proud artifacts into the building＇s facade. The purpose of this study is to find a new theory of architecture during their process of becoming of the architecture＇s form. The study applied a phenomenological investigation method of several highrise building＇s facade at Jakarta and several districts of Singapore, Brisbane and Melbourne. The study result is a new theory named ＂the fashion-architecture＂ is a building composed by adopting the cross-pollination of design method. To enrich the building＇s facade, architect adopted anything including the fashion＇s design elements： accessories, millineries, and cosmetics also reflected by the traditional architecture. Their fashion-architecture works are reflecting the tribe civilization into a contemporary architecture design.展开更多
基金This work is supported by the National Natural Science Foundation of China(Grant No.51991392)Key Deployment Projects of Chinese Academy of Sciences(Grant No.ZDRW-ZS-2021-3-3)the Second Tibetan Plateau Scientific Expedition and Research Program(STEP)(Grant No.2019QZKK0904).
文摘Predicting the mechanical behaviors of structure and perceiving the anomalies in advance are essential to ensuring the safe operation of infrastructures in the long run.In addition to the incomplete consideration of influencing factors,the prediction time scale of existing studies is rough.Therefore,this study focuses on the development of a real-time prediction model by coupling the spatio-temporal correlation with external load through autoencoder network(ATENet)based on structural health monitoring(SHM)data.An autoencoder mechanism is performed to acquire the high-level representation of raw monitoring data at different spatial positions,and the recurrent neural network is applied to understanding the temporal correlation from the time series.Then,the obtained temporal-spatial information is coupled with dynamic loads through a fully connected layer to predict structural performance in next 12 h.As a case study,the proposed model is formulated on the SHM data collected from a representative underwater shield tunnel.The robustness study is carried out to verify the reliability and the prediction capability of the proposed model.Finally,the ATENet model is compared with some typical models,and the results indicate that it has the best performance.ATENet model is of great value to predict the realtime evolution trend of tunnel structure.
文摘In megacities, the phenomenon of the highrise buildings which add fashion elements into the body and facades seems as big sculptures. Architect composed their work by applying the cross-pollination of design method. They adopted the various elements to enrich their building＇s facade in order to look different. On the other hand, the traditional architecture expressed the tribe civilization by placing their proud artifacts into the building＇s facade. The purpose of this study is to find a new theory of architecture during their process of becoming of the architecture＇s form. The study applied a phenomenological investigation method of several highrise building＇s facade at Jakarta and several districts of Singapore, Brisbane and Melbourne. The study result is a new theory named ＂the fashion-architecture＂ is a building composed by adopting the cross-pollination of design method. To enrich the building＇s facade, architect adopted anything including the fashion＇s design elements： accessories, millineries, and cosmetics also reflected by the traditional architecture. Their fashion-architecture works are reflecting the tribe civilization into a contemporary architecture design.
