First, the high-rise building structure design process is divided into three relevant steps, that is, scheme generation and creation, performance evaluation, and scheme optimization. Then with the application of relat...First, the high-rise building structure design process is divided into three relevant steps, that is, scheme generation and creation, performance evaluation, and scheme optimization. Then with the application of relational database, the case database of high-rise structures is constructed, the structure form-selection designing methods such as the smart algorithm based on CBR, DM, FINS, NN and GA is presented, and the original forms system of this method and its general structure are given. CBR and DM are used to generate scheme candidates; FINS and NN to evaluate and optimize the scheme performance; GA to create new structure forms. Finally, the application cases are presented, whose results fit in with the real project. It proves by combining and using the expert intelligence, algorithm intelligence and machine intelligence that this method makes good use of not only the engineering project knowledge and expertise but also much deeper knowledge contained in various engineering cases. In other words, it is because the form selection has a strong background support of vast real cases that its results prove more reliable and more acceptable. So the introduction of this method provides an effective approach to improving the quality, efficiency, automatic and smart level of high-rise structures form selection design.展开更多
The retarding effect of protein retarder on phosphorus building gypsum(PBG)and desulfurization building gypsum(DBG)was investigated,and the results show that protein retarder for DBG can effectively prolong the settin...The retarding effect of protein retarder on phosphorus building gypsum(PBG)and desulfurization building gypsum(DBG)was investigated,and the results show that protein retarder for DBG can effectively prolong the setting time and displays a better retarding effect,but for PBG shows a poor retarding effect.Furthermore,the deterioration reason of the retarding effect of protein retarder on PBG was investigated by measuring the pH value and the retarder concentration of the liquid phase from vacuum filtration of PBG slurry at different hydration time,and the measure to improve the retarding effect of protein retarding on PBG was suggested.The pH value of PBG slurry(<5.0)is lower than that of DBG slurry(7.8-8.5).After hydration for 5 min,the concentration of retarder in liquid phase of DBG slurry gradually decreases,but in liquid phase of PBG slurry continually increases,which results in the worse retarding effect of protein retarder on PBG.The liquid phase pH value of PBG slurry can be adjusted higher by sodium silicate,which is beneficial to improvement in the retarding effect of the retarder.By adding 1.0%of sodium silicate,the initial setting time of PBG was efficiently prolonged from 17 to 210 min,but little effect on the absolute dry flexural strength was observed.展开更多
Building pattern recognition is important for understanding urban forms,automating map generalization,and visualizing 3D city models.However,current approaches based on object-independent methods have limitations in c...Building pattern recognition is important for understanding urban forms,automating map generalization,and visualizing 3D city models.However,current approaches based on object-independent methods have limitations in capturing all visually aware patterns due to the part-based nature of human vision.Moreover,these approaches also suffer from inefficiencies when applying proximity graph models.To address these limitations,we propose a framework that leverages multi-scale data and a knowledge graph,focusing on recognizing C-shaped building patterns.We first employ a specialized knowledge graph to represent the relationships between buildings within and across various scales.Subsequently,we convert the rules for C-shaped pattern recognition and enhancement into query conditions,where the enhancement refers to using patterns recognized at one scale to enhance pattern recognition at other scales.Finally,rule-based reasoning is applied within the constructed knowledge graph to recognize and enrich C-shaped building patterns.We verify the effectiveness of our method using multi-scale data with three levels of detail(LODs)collected from AMap,and our method achieves a higher recall rate of 26.4%for LOD1,20.0%for LOD2,and 9.1%for LOD3 compared to existing methods with similar precisionrates.We,also achieve recognition efficiency improvements of 0.91,1.37,and 9.35 times,respectively.展开更多
This paper aims at offering some suggestions for the college students who want to deliver an English speech.After the research,the author gives a brief description of the principles of language using in an English spe...This paper aims at offering some suggestions for the college students who want to deliver an English speech.After the research,the author gives a brief description of the principles of language using in an English speech.It goes from three aspects:choosing words effectively;using langusge strategically;building the speech reasonably.Thus,the author concludes that the success of an English speech will be made up of fully preparation of language usage,serious attitude and confidence.展开更多
文摘First, the high-rise building structure design process is divided into three relevant steps, that is, scheme generation and creation, performance evaluation, and scheme optimization. Then with the application of relational database, the case database of high-rise structures is constructed, the structure form-selection designing methods such as the smart algorithm based on CBR, DM, FINS, NN and GA is presented, and the original forms system of this method and its general structure are given. CBR and DM are used to generate scheme candidates; FINS and NN to evaluate and optimize the scheme performance; GA to create new structure forms. Finally, the application cases are presented, whose results fit in with the real project. It proves by combining and using the expert intelligence, algorithm intelligence and machine intelligence that this method makes good use of not only the engineering project knowledge and expertise but also much deeper knowledge contained in various engineering cases. In other words, it is because the form selection has a strong background support of vast real cases that its results prove more reliable and more acceptable. So the introduction of this method provides an effective approach to improving the quality, efficiency, automatic and smart level of high-rise structures form selection design.
文摘The retarding effect of protein retarder on phosphorus building gypsum(PBG)and desulfurization building gypsum(DBG)was investigated,and the results show that protein retarder for DBG can effectively prolong the setting time and displays a better retarding effect,but for PBG shows a poor retarding effect.Furthermore,the deterioration reason of the retarding effect of protein retarder on PBG was investigated by measuring the pH value and the retarder concentration of the liquid phase from vacuum filtration of PBG slurry at different hydration time,and the measure to improve the retarding effect of protein retarding on PBG was suggested.The pH value of PBG slurry(<5.0)is lower than that of DBG slurry(7.8-8.5).After hydration for 5 min,the concentration of retarder in liquid phase of DBG slurry gradually decreases,but in liquid phase of PBG slurry continually increases,which results in the worse retarding effect of protein retarder on PBG.The liquid phase pH value of PBG slurry can be adjusted higher by sodium silicate,which is beneficial to improvement in the retarding effect of the retarder.By adding 1.0%of sodium silicate,the initial setting time of PBG was efficiently prolonged from 17 to 210 min,but little effect on the absolute dry flexural strength was observed.
基金supported by The National Natural Science Foundation of China(No.41871378)The Youth Inno-vation Promotion Association Foundation of Chinese Academic of Sciences(No.Y9C0060)+1 种基金Fundamental Research Funds for the Central Universities(No.070323006)State Key Laboratory of Networking and Switching Tech-nology(No.600123442).
文摘Building pattern recognition is important for understanding urban forms,automating map generalization,and visualizing 3D city models.However,current approaches based on object-independent methods have limitations in capturing all visually aware patterns due to the part-based nature of human vision.Moreover,these approaches also suffer from inefficiencies when applying proximity graph models.To address these limitations,we propose a framework that leverages multi-scale data and a knowledge graph,focusing on recognizing C-shaped building patterns.We first employ a specialized knowledge graph to represent the relationships between buildings within and across various scales.Subsequently,we convert the rules for C-shaped pattern recognition and enhancement into query conditions,where the enhancement refers to using patterns recognized at one scale to enhance pattern recognition at other scales.Finally,rule-based reasoning is applied within the constructed knowledge graph to recognize and enrich C-shaped building patterns.We verify the effectiveness of our method using multi-scale data with three levels of detail(LODs)collected from AMap,and our method achieves a higher recall rate of 26.4%for LOD1,20.0%for LOD2,and 9.1%for LOD3 compared to existing methods with similar precisionrates.We,also achieve recognition efficiency improvements of 0.91,1.37,and 9.35 times,respectively.
文摘This paper aims at offering some suggestions for the college students who want to deliver an English speech.After the research,the author gives a brief description of the principles of language using in an English speech.It goes from three aspects:choosing words effectively;using langusge strategically;building the speech reasonably.Thus,the author concludes that the success of an English speech will be made up of fully preparation of language usage,serious attitude and confidence.
