征文：人工智能方法在地震及结构工程中的应用【Frontiers专刊】
一、征文背景
地震灾害已造成巨大的人员伤亡和经济损失，威胁到社会和经济发展。目前，人工智能（AI）技术是学术研究和工程实践中的前沿领域和中心问题之一。人工智能是计算机科学的一个分支，该分支研发具有类人智能的机器和软件。近年来，人工智能技术发展迅速，并已在多个工程学科中得到广泛应用。在不同的人工智能技术中，机器学习（ML），模式识别（PR）和深度学习（DL）受到了相当大的关注。最近的研究表明，上述技术正逐渐成为地震和结构工程中新型强大的智能方法。
Earthquake disasters have caused enormous casualties and economic losses so far, threatening the social and economic development of humanity. At present, artificial intelligence (AI) technology is one of the frontiers and central issues in both, academic research, and engineering practice.
AI refers to the branch of computer science that develops machines and software with human-like intelligence. In recent years, AI techniques are developing rapidly and have been widely adopted in several engineering disciplines. Among the different AI techniques, machine learning (ML), pattern recognition (PR), and deep learning (DL) have recently acquired considerable attention. These techniques are establishing themselves as a new class of powerful and intelligent methods for use in earthquake and structural engineering with proven effectiveness, as shown in recent studies.
二、征文范围
本专刊热烈欢迎各界学者发表将AI与各种科学领域相结合以解决工程或科学问题的前沿研究。本专刊的论文研究领域覆盖面极广，包括：高级机器学习算法研究，数学模型研究以及基于AI的结构或地震工程应用研究。具体而言，上述论文研究领域包括但不限于以下研究方向：地震动研究，结构尺度和城市尺度的地震风险研究，结构系统识别和损伤检测，地震作用下的结构控制，结构健康监测及不确定性量化等。
This Research Topic welcomes cutting-edge research combining AI with various scientific fields in solving engineering and science problems. The range of appropriate contributions is broad and includes papers on developing advanced machine learning algorithms, appropriate mathematical models, and AI-based structural or earthquake engineering applications. These can be in all areas of the aforementioned research fields, such as seismic ground motion studies, structural and city-scale seismic risk, structural system identification and damage detection, structural control under seismic action, structural health monitoring, and quantification of uncertainty, etc.
未来，随着计算机计算能力和数据积累的提高，人工智能驱动技术的可行性和必要性有望迅速增长。本专刊欢迎将AI与各种科学领域相结合的前沿研究，包括但不限于：
1、地震动研究
2、结构尺度和城市尺度的地震风险研究
3、结构工程中的计算方法
4、结构系统识别和损伤检测
5、地震作用下的结构控制
6、结构健康监测
In the future, with the improvement of computational power and data accumulation, the feasibility and necessity of AI-driven technologies are expected to grow quickly. This Research Topic welcomes cutting-edge research combining AI with various scientific fields including, but not limited to:
1. seismic ground motion studies
2. structural and city-scale seismic risk
3. computational methods in structural engineering
4. structural system identification and damage detection
5. structural control under seismic action
6. structural health monitoring
三、投稿要求
1）如果一篇论文提出了新颖的技术，则必须与已知的先进方法进行系统对比。
2）如果一篇论文旨在为高级方法提供实质性的新见解，则可以通过强大的数值实验、系列数学理论分析或与设计良好的物理实验数据进行对比来实现。
无论哪种情况，论文都必须为推进该领域的最新研究做出贡献。
关键词：人工智能，地震风险与破坏评估，系统识别，结构动力学与控制，结构健康监测与损伤检测。
重要说明：对本专刊的所有贡献都必须在其任务说明中所定义的部分和期刊的范围内。在同行评审的任何阶段，Frontiers保留将范围外的手稿引导至更合适的栏目或期刊的权利。
If a paper presents novel techniques, some comparison with known advanced methods is necessary. If a paper is to provide substantial new insights into advanced methods, then this can be achieved by strong numerical experiments, some mathematical analysis, and/or comparisons with well-designed physical test data. In either case, the paper must contribute to advancing the state of the art research in this area.
Keywords: Artificial intelligence, Seismic risk and damage assessment, System identification, Structural dynamics and control, Structural health monitoring and damage detection.
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
四、截稿日期
Abstract: 27 October 2020
Manuscript: 29 January 2021
五、投稿方式
可以通过以下期刊将论文投稿到该专刊：
Frontiers in Built Environment
（https://www.frontiersin.org/journals/921）
Earthquake Engineering
（https://www.frontiersin.org/journals/921/sections/999）
Computational Methods in Structural Engineering（https://www.frontiersin.org/journals/921/sections/1377）
六、原文链接
详情请参考原文：
https://www.frontiersin.org/research-topics/16163/artificial-intelligence-powered-methodologies-and-applications-in-earthquake-and-structural-engineer#overview