In view of China's development trend of green building and building industrialization,based on the emerging requirements of the structural engineering community,the development and proposition of novel resourcesav...In view of China's development trend of green building and building industrialization,based on the emerging requirements of the structural engineering community,the development and proposition of novel resourcesaving high-performance steel-concrete composite structural systems with adequate safety and durability has become a kernel development trend in structural engineering.This paper provides a state of the art review of China's cutting-edge research and technologies in steel-concrete composite structures in recent years,including the building engineering,the bridge engineering and the special engineering.This paper summarizes the technical principles and applications of the long-span bi-directional composite structures,the long-span composite transfer structures,the comprehensive crack control technique based on uplift-restricted and slip-permitted (URSP)connectors,the steel plate concrete composite (SPCC)strengthen technique,and the innovative composite joints.By improving and revising traditional structure types, the comprehensive superiority of steel-concrete composite structures is well elicited.The research results also indicate that the high-performance steel-concrete composite structures have a promising popularizing prospect in the future.展开更多
With the rapid development of artificial intelligence technology and increasing material data,machine learning-and artificial intelligence-assisted design of high-performance steel materials is becoming a mainstream p...With the rapid development of artificial intelligence technology and increasing material data,machine learning-and artificial intelligence-assisted design of high-performance steel materials is becoming a mainstream paradigm in materials science.Machine learning methods,based on an interdisciplinary discipline between computer science,statistics and material science,are good at discovering correlations between numerous data points.Compared with the traditional physical modeling method in material science,the main advantage of machine learning is that it overcomes the complex physical mechanisms of the material itself and provides a new perspective for the research and development of novel materials.This review starts with data preprocessing and the introduction of different machine learning models,including algorithm selection and model evaluation.Then,some successful cases of applying machine learning methods in the field of steel research are reviewed based on the main theme of optimizing composition,structure,processing,and performance.The application of machine learning methods to the performance-oriented inverse design of material composition and detection of steel defects is also reviewed.Finally,the applicability and limitations of machine learning in the material field are summarized,and future directions and prospects are discussed.展开更多
The innovative and environmentally friendly methodologies for comprehensively enhancing the performances of high-strength steels without damage to plasticity,toughness and heat/corrosion/fatigue resistance are being d...The innovative and environmentally friendly methodologies for comprehensively enhancing the performances of high-strength steels without damage to plasticity,toughness and heat/corrosion/fatigue resistance are being developed.In recent years,nanoparticles elevate the field of high-strength steel.It is proposed that nanoparticles have the potential to replace conventional semi-coherent intermetallic compounds,carbides and alloying to optimize the steel.The fabrication process is simplified and the cost is lower compared with the traditional methods.Considerable research effort has been directed towards high-performance cast steels reinforced with nanoparticles due to potential application in major engineering.Nanoparticles are found to be capable of notably optimizing the nucleation behavior and precipitate process.The prominently optimized microstructure configuration and performances of cast steel can be acquired synchronously.In this review,the lattice matching and valence electron criterion between diverse nanoparticles and steel are summarized,and the existing various preparation methods are compared and analyzed.At present,there are four main methods to introduce nanoparticles into steel:external nanoparticle method,internal nanoparticle method,in-situ reaction method,and additive manufacturing method.These four methods have their own advantages and limitations,respectively.In this review,the synthesis,selection principle and strengthening mechanism of nanoparticles in cast steels for the above four methods are discussed in detail.Moreover,the main preparation methods and microstructure manipulation mechanism of the steel reinforced with different nanoparticles have been systematically expatiated.Finally,the development and future potential research directions of the application of nanoparticles in cast steel are prospected.展开更多
文摘In view of China's development trend of green building and building industrialization,based on the emerging requirements of the structural engineering community,the development and proposition of novel resourcesaving high-performance steel-concrete composite structural systems with adequate safety and durability has become a kernel development trend in structural engineering.This paper provides a state of the art review of China's cutting-edge research and technologies in steel-concrete composite structures in recent years,including the building engineering,the bridge engineering and the special engineering.This paper summarizes the technical principles and applications of the long-span bi-directional composite structures,the long-span composite transfer structures,the comprehensive crack control technique based on uplift-restricted and slip-permitted (URSP)connectors,the steel plate concrete composite (SPCC)strengthen technique,and the innovative composite joints.By improving and revising traditional structure types, the comprehensive superiority of steel-concrete composite structures is well elicited.The research results also indicate that the high-performance steel-concrete composite structures have a promising popularizing prospect in the future.
基金financially supported by the National Natural Science Foundation of China(Nos.52122408,52071023,51901013,and 52101019)the Fundamental Research Funds for the Central Universities(University of Science and Technology Beijing,Nos.FRF-TP-2021-04C1 and 06500135).
文摘With the rapid development of artificial intelligence technology and increasing material data,machine learning-and artificial intelligence-assisted design of high-performance steel materials is becoming a mainstream paradigm in materials science.Machine learning methods,based on an interdisciplinary discipline between computer science,statistics and material science,are good at discovering correlations between numerous data points.Compared with the traditional physical modeling method in material science,the main advantage of machine learning is that it overcomes the complex physical mechanisms of the material itself and provides a new perspective for the research and development of novel materials.This review starts with data preprocessing and the introduction of different machine learning models,including algorithm selection and model evaluation.Then,some successful cases of applying machine learning methods in the field of steel research are reviewed based on the main theme of optimizing composition,structure,processing,and performance.The application of machine learning methods to the performance-oriented inverse design of material composition and detection of steel defects is also reviewed.Finally,the applicability and limitations of machine learning in the material field are summarized,and future directions and prospects are discussed.
基金financially supported by the National Natural ScienceFoundation of China(Grant No.51971101 and No.51771081)the Science and Technology Development Program of Jilin Province,China(No.20190302004GX)。
文摘The innovative and environmentally friendly methodologies for comprehensively enhancing the performances of high-strength steels without damage to plasticity,toughness and heat/corrosion/fatigue resistance are being developed.In recent years,nanoparticles elevate the field of high-strength steel.It is proposed that nanoparticles have the potential to replace conventional semi-coherent intermetallic compounds,carbides and alloying to optimize the steel.The fabrication process is simplified and the cost is lower compared with the traditional methods.Considerable research effort has been directed towards high-performance cast steels reinforced with nanoparticles due to potential application in major engineering.Nanoparticles are found to be capable of notably optimizing the nucleation behavior and precipitate process.The prominently optimized microstructure configuration and performances of cast steel can be acquired synchronously.In this review,the lattice matching and valence electron criterion between diverse nanoparticles and steel are summarized,and the existing various preparation methods are compared and analyzed.At present,there are four main methods to introduce nanoparticles into steel:external nanoparticle method,internal nanoparticle method,in-situ reaction method,and additive manufacturing method.These four methods have their own advantages and limitations,respectively.In this review,the synthesis,selection principle and strengthening mechanism of nanoparticles in cast steels for the above four methods are discussed in detail.Moreover,the main preparation methods and microstructure manipulation mechanism of the steel reinforced with different nanoparticles have been systematically expatiated.Finally,the development and future potential research directions of the application of nanoparticles in cast steel are prospected.
