Discovery of materials using“bottom-up”or“top-down”approach is of great interest in materials science.Layered materials consisting of two-dimensional(2D)building blocks provide a good platform to explore new mater...Discovery of materials using“bottom-up”or“top-down”approach is of great interest in materials science.Layered materials consisting of two-dimensional(2D)building blocks provide a good platform to explore new materials in this respect.In van der Waals(vdW)layered materials,these building blocks are charge neutral and can be isolated from their bulk phase(top-down),but usually grow on substrate.In ionic layered materials,they are charged and usually cannot exist independently but can serve as motifs to construct new materials(bottom-up).In this paper,we introduce our recently constructed databases for 2D material-substrate interface(2DMSI),and 2D charged building blocks.For 2DMSI database,we systematically build a workflow to predict appropriate substrates and their geometries at substrates,and construct the 2DMSI database.For the 2D charged building block database,1208 entries from bulk material database are identified.Information of crystal structure,valence state,source,dimension and so on is provided for each entry with a json format.We also show its application in designing and searching for new functional layered materials.The 2DMSI database,building block database,and designed layered materials are available in Science Data Bank at https://doi.org/10.57760/sciencedb.j00113.00188.展开更多
This paper describes a set of on-site earthquake safety evaluation systems for buildings, which were developed based on a network platform. The system embedded into the quantitative research results which were complet...This paper describes a set of on-site earthquake safety evaluation systems for buildings, which were developed based on a network platform. The system embedded into the quantitative research results which were completed in accordance with the provisions from Post-earthquake Field Works, Part 2： Safety Assessment of Buildings, GB18208.2 -2001, and was further developed into an easy-to-use software platform. The system is aimed at allowing engineering professionals, civil engineeing technicists or earthquake-affected victims on site to assess damaged buildings through a network after earthquakes. The authors studied the function structure, process design of the safety evaluation module, and hierarchical analysis algorithm module of the system in depth, and developed the general architecture design, development technology and database design of the system. Technologies such as hierarchical architecture design and Java EE were used in the system development, and MySQL5 was adopted in the database development. The result is a complete evaluation process of information collection, safety evaluation, and output of damage and safety degrees, as well as query and statistical analysis of identified buildings. The system can play a positive role in sharing expert post-earthquake experience and promoting safety evaluation of buildings on a seismic field.展开更多
With the overwhelming number of older reinforced concrete buildings that need to be assessed for seismic vulnerability in a city,local governments face the question of how to assess their building inventory.By leverag...With the overwhelming number of older reinforced concrete buildings that need to be assessed for seismic vulnerability in a city,local governments face the question of how to assess their building inventory.By leveraging engineering drawings that are stored in a digital format,a well-established method for classification reinforced concrete buildings with respect to seismic vulnerability,and machine learning techniques,we have developed a technique to automatically extract quantitative information from the drawings to classify vulnerability.Using this technique,stakeholders will be able to rapidly classify buildings according to their seismic vulnerability and have access to information they need to prioritize a large building inventory.The approach has the potential to have significant impact on our ability to rapidly make decisions related to retrofit and improvements in our communities.In the Los Angeles County alone it is estimated that several thousand buildings of this type exist.The Hassan index is adopted here as the method for automation due to its simple application during the classification of the vulnerable reinforced concrete buildings.This paper will present the technique used for automating information extraction to compute the Hassan index for a large building inventory.展开更多
With the expansion of cultivation scale,pitaya diseases are gradually increasing.Traditionally relying on human observation to judge the disease is limited by the skills and experience of the observer,which cannot gua...With the expansion of cultivation scale,pitaya diseases are gradually increasing.Traditionally relying on human observation to judge the disease is limited by the skills and experience of the observer,which cannot guarantee the accuracy and real-time of the judgment,and consumes much manpower and time.In this study,by collecting,segmenting,and labeling images of 4 main diseases of pitaya in the field,an image database of main diseases of pitaya in the field was constructed to provide a basis for computer image recognition of pitaya diseases.Thereby,it benefits reducing manual error and improving the accuracy and real-time of disease identification for agricultural production,but also lays a foundation for the future development of intelligent agriculture.展开更多
针对当前工业类基础(industry foundation classes,IFC)标准文件的开发应用存在文件格式转换繁杂、数据互操作性弱及信息有效利用率低等问题,提出一种IFC模型数据映射至数据库、建筑信息模型(building information modeling,BIM)在Web...针对当前工业类基础(industry foundation classes,IFC)标准文件的开发应用存在文件格式转换繁杂、数据互操作性弱及信息有效利用率低等问题,提出一种IFC模型数据映射至数据库、建筑信息模型(building information modeling,BIM)在Web端重构及信息在线可视化分析的实施方法。基于Web框架,搭建IFC标准文件映射至关系型数据库的应用框架。该应用框架利用JavaScript语言对IFC标准文件深度解析,采用Python语言将IFC模型数据和建筑全生命周期有效信息储存至关系型数据库,结合实际案例及分析,展现并验证该应用框架的实施效果。结果表明:该方法可实现项目数据交互的完整性和高效性,支持建筑全生命周期相关应用的二次开发;同时融合智能建造技术和科学管理,提升BIM信息管理的有效性,促进建筑业数字化发展和智能化应用拓展。展开更多
为科学有效地梳理BIM(Building Information Modeling)技术发展脉络并分析BIM技术发展方向,基于Web of Science(WoS)数据库,筛选出2006—2022年BIM相关文献3085篇,以可视化文献计量分析角度,对国内外BIM发展现状及热点趋势进行总结与分...为科学有效地梳理BIM(Building Information Modeling)技术发展脉络并分析BIM技术发展方向,基于Web of Science(WoS)数据库,筛选出2006—2022年BIM相关文献3085篇,以可视化文献计量分析角度,对国内外BIM发展现状及热点趋势进行总结与分析。分析结果表明,BIM当前处于快速上升期,中、美、英、澳、韩等国处于BIM理论研究的领先地位;BIM领域的理论研究、技术研发及实践应用已形成一套循环进化生态体系。该成果可对BIM技术研究及应用方向分析提供参考。展开更多
基金Project supported by the National Natural Science Foundation of China(Grant Nos.61888102,52272172,and 52102193)the Major Program of the National Natural Science Foundation of China(Grant No.92163206)+2 种基金the National Key Research and Development Program of China(Grant Nos.2021YFA1201501 and 2022YFA1204100)the Strategic Priority Research Program of the Chinese Academy of Sciences(Grant No.XDB30000000)the Fundamental Research Funds for the Central Universities.
文摘Discovery of materials using“bottom-up”or“top-down”approach is of great interest in materials science.Layered materials consisting of two-dimensional(2D)building blocks provide a good platform to explore new materials in this respect.In van der Waals(vdW)layered materials,these building blocks are charge neutral and can be isolated from their bulk phase(top-down),but usually grow on substrate.In ionic layered materials,they are charged and usually cannot exist independently but can serve as motifs to construct new materials(bottom-up).In this paper,we introduce our recently constructed databases for 2D material-substrate interface(2DMSI),and 2D charged building blocks.For 2DMSI database,we systematically build a workflow to predict appropriate substrates and their geometries at substrates,and construct the 2DMSI database.For the 2D charged building block database,1208 entries from bulk material database are identified.Information of crystal structure,valence state,source,dimension and so on is provided for each entry with a json format.We also show its application in designing and searching for new functional layered materials.The 2DMSI database,building block database,and designed layered materials are available in Science Data Bank at https://doi.org/10.57760/sciencedb.j00113.00188.
基金Major Research Plan of the National Natural Science Foundation of China under Grant No.91315301-10Project of Earthquake Code Compilation and Revising:Postearthquake Field Works-Part 2:Safety Assessment of Buildings under Grant No.14410024701Basic Scientific Research Special Project of IEM,CEA under Grant No.2009A01
文摘This paper describes a set of on-site earthquake safety evaluation systems for buildings, which were developed based on a network platform. The system embedded into the quantitative research results which were completed in accordance with the provisions from Post-earthquake Field Works, Part 2： Safety Assessment of Buildings, GB18208.2 -2001, and was further developed into an easy-to-use software platform. The system is aimed at allowing engineering professionals, civil engineeing technicists or earthquake-affected victims on site to assess damaged buildings through a network after earthquakes. The authors studied the function structure, process design of the safety evaluation module, and hierarchical analysis algorithm module of the system in depth, and developed the general architecture design, development technology and database design of the system. Technologies such as hierarchical architecture design and Java EE were used in the system development, and MySQL5 was adopted in the database development. The result is a complete evaluation process of information collection, safety evaluation, and output of damage and safety degrees, as well as query and statistical analysis of identified buildings. The system can play a positive role in sharing expert post-earthquake experience and promoting safety evaluation of buildings on a seismic field.
基金US National Science Foundation under Grant No.NSF-OAC-1835473。
文摘With the overwhelming number of older reinforced concrete buildings that need to be assessed for seismic vulnerability in a city,local governments face the question of how to assess their building inventory.By leveraging engineering drawings that are stored in a digital format,a well-established method for classification reinforced concrete buildings with respect to seismic vulnerability,and machine learning techniques,we have developed a technique to automatically extract quantitative information from the drawings to classify vulnerability.Using this technique,stakeholders will be able to rapidly classify buildings according to their seismic vulnerability and have access to information they need to prioritize a large building inventory.The approach has the potential to have significant impact on our ability to rapidly make decisions related to retrofit and improvements in our communities.In the Los Angeles County alone it is estimated that several thousand buildings of this type exist.The Hassan index is adopted here as the method for automation due to its simple application during the classification of the vulnerable reinforced concrete buildings.This paper will present the technique used for automating information extraction to compute the Hassan index for a large building inventory.
基金the Key Research and Development Project of Hainan Province of China(ZDYF2017066)Natural Science Foundation of Hainan Province of China(619MS028)the Research on Education and Teaching Reform of Hainan University(hdjy1954)。
文摘With the expansion of cultivation scale,pitaya diseases are gradually increasing.Traditionally relying on human observation to judge the disease is limited by the skills and experience of the observer,which cannot guarantee the accuracy and real-time of the judgment,and consumes much manpower and time.In this study,by collecting,segmenting,and labeling images of 4 main diseases of pitaya in the field,an image database of main diseases of pitaya in the field was constructed to provide a basis for computer image recognition of pitaya diseases.Thereby,it benefits reducing manual error and improving the accuracy and real-time of disease identification for agricultural production,but also lays a foundation for the future development of intelligent agriculture.
文摘针对当前工业类基础(industry foundation classes,IFC)标准文件的开发应用存在文件格式转换繁杂、数据互操作性弱及信息有效利用率低等问题,提出一种IFC模型数据映射至数据库、建筑信息模型(building information modeling,BIM)在Web端重构及信息在线可视化分析的实施方法。基于Web框架,搭建IFC标准文件映射至关系型数据库的应用框架。该应用框架利用JavaScript语言对IFC标准文件深度解析,采用Python语言将IFC模型数据和建筑全生命周期有效信息储存至关系型数据库,结合实际案例及分析,展现并验证该应用框架的实施效果。结果表明:该方法可实现项目数据交互的完整性和高效性,支持建筑全生命周期相关应用的二次开发;同时融合智能建造技术和科学管理,提升BIM信息管理的有效性,促进建筑业数字化发展和智能化应用拓展。
文摘为科学有效地梳理BIM(Building Information Modeling)技术发展脉络并分析BIM技术发展方向,基于Web of Science(WoS)数据库,筛选出2006—2022年BIM相关文献3085篇,以可视化文献计量分析角度,对国内外BIM发展现状及热点趋势进行总结与分析。分析结果表明,BIM当前处于快速上升期,中、美、英、澳、韩等国处于BIM理论研究的领先地位;BIM领域的理论研究、技术研发及实践应用已形成一套循环进化生态体系。该成果可对BIM技术研究及应用方向分析提供参考。
