In order to meet the rapid needs of processing square hole in mechanical equipment, the paper expounds the square hole processing method： planetary wheel method, and analyze the principle of tooling structure and pro...In order to meet the rapid needs of processing square hole in mechanical equipment, the paper expounds the square hole processing method： planetary wheel method, and analyze the principle of tooling structure and process with computer graphics parameters design. The results that, as long as the appropriate parameters, using the above method not only can punch the square hole, can also be processed triangle, the five angle and hexagonal regular polygon holes. The square hole processing method can provide theoretical basis and engineering reliable reference for related engineering and technical personnel.展开更多
High-sensitivity monitoring solutions are crucial for early warning systems of earth structures. In this paper, we discuss the design and implementation of such systems for natural and engineered slopes using two case...High-sensitivity monitoring solutions are crucial for early warning systems of earth structures. In this paper, we discuss the design and implementation of such systems for natural and engineered slopes using two case studies. At the Gradenbach Observatory, one key element of the monitoring system is a large fiber optic strain rosette embedded in the slope. We demonstrate that the strain rosette can depict landslide deformations much earlier than geodetic sensors like GPS or total stations and is therefore well suitable for an early warning system. In a second application we report the construction of a reinforced earth structure using geogrids. A distributed fiber optic measurement system was installed to measure the current operating grade of the geogrids within the earth structure. About 2 km of Brillouin sensing cables were installed in the project area. It is demonstrated that the developed monitoring system is well suited for assessing the current state of health of reinforced earth structures.展开更多
Conductive polymer nanocomposites have emerged as essential materials for wearable devices.In this study,we propose a novel approach that combines graph attention networks(GAT)with an improved global pooling strategy ...Conductive polymer nanocomposites have emerged as essential materials for wearable devices.In this study,we propose a novel approach that combines graph attention networks(GAT)with an improved global pooling strategy and incremental learning.We train the GAT model on homopolymer/carbon nanotube(CNT)nanocomposite data simulated by hybrid particle-field molecular dynamics(hPF-MD)method within the CNT concentration range of 1–8%.We further analyze the conductive network structure by integrating the resistor network approach with the GAT’s attention scores,revealing optimal connectivity at a 7%concentration.The comparative analysis of trained data and the reconstructed network,based on the attention scores,underscores the GATmodel’s ability in learning network structural representations.This work not only validates the efficacy of the GAT model in property prediction and interpretable network structure analysis of polymer nanocomposites but also lays a cornerstone for the reverse engineering of polymer composites.展开更多
文摘In order to meet the rapid needs of processing square hole in mechanical equipment, the paper expounds the square hole processing method： planetary wheel method, and analyze the principle of tooling structure and process with computer graphics parameters design. The results that, as long as the appropriate parameters, using the above method not only can punch the square hole, can also be processed triangle, the five angle and hexagonal regular polygon holes. The square hole processing method can provide theoretical basis and engineering reliable reference for related engineering and technical personnel.
基金the Austrian Academy of Sciences(OeAW)for funding the landslide monitoring project for several yearsthe Austrian Federal Railways(OBB)for the funding of the geogrid monitoring project,especially the participating departments of OBB-Infrastruktur AG:Tunneling,Surveying and Data Management,Research and Development
文摘High-sensitivity monitoring solutions are crucial for early warning systems of earth structures. In this paper, we discuss the design and implementation of such systems for natural and engineered slopes using two case studies. At the Gradenbach Observatory, one key element of the monitoring system is a large fiber optic strain rosette embedded in the slope. We demonstrate that the strain rosette can depict landslide deformations much earlier than geodetic sensors like GPS or total stations and is therefore well suitable for an early warning system. In a second application we report the construction of a reinforced earth structure using geogrids. A distributed fiber optic measurement system was installed to measure the current operating grade of the geogrids within the earth structure. About 2 km of Brillouin sensing cables were installed in the project area. It is demonstrated that the developed monitoring system is well suited for assessing the current state of health of reinforced earth structures.
基金support from the National Natural Science Foundation of China(52273019)Fundamental Research Funds for the Central Universities(044420250076)+2 种基金General Program of National Natural Science Foundation of Liao Ning Province(2025-MS-105)Scientific Research Funds Project of Liaoning Provincial Department of Education(LJKZ0034)Beijing Natural Science Foundation(4242040).
文摘Conductive polymer nanocomposites have emerged as essential materials for wearable devices.In this study,we propose a novel approach that combines graph attention networks(GAT)with an improved global pooling strategy and incremental learning.We train the GAT model on homopolymer/carbon nanotube(CNT)nanocomposite data simulated by hybrid particle-field molecular dynamics(hPF-MD)method within the CNT concentration range of 1–8%.We further analyze the conductive network structure by integrating the resistor network approach with the GAT’s attention scores,revealing optimal connectivity at a 7%concentration.The comparative analysis of trained data and the reconstructed network,based on the attention scores,underscores the GATmodel’s ability in learning network structural representations.This work not only validates the efficacy of the GAT model in property prediction and interpretable network structure analysis of polymer nanocomposites but also lays a cornerstone for the reverse engineering of polymer composites.
