Experimental Study on the Effect of Steel-fibre in Conerete Thick Cap

The effect of steel fibre used in concrete was systematically analyzed by model testing of 30 2-pile thick caps of steel-fibre reinforced concrete, in which the model scale was 1：5. The experiment system composed of a loading device, strain measurement system and a data-acquisition system was used, also an electromechanic centigrade scale, a lens and a Y J-25 static resistance strainometer were used.The experimental results show that the volumetric rate of steel fibre and draw ratio have an important influence on its load-bearing capacity. The incorporation of steel fibre can effectively improve the extension and reduce the thickness of the caps.     

微机硬件环境与安全

微机硬件的运行环境和硬件安全是计算机网络信息系统能够正常运行的基础,硬件的运行环境和安全直接影响着网络信息系统的安全。而来自于环境干扰、设备自然损坏、自然灾害等因素给微型计算机带来了安全威胁。本文介绍了微机运行的硬件的环境要求、硬件的安全威胁,并提出了用来实现信息安全的硬件安全技术方法。     

戴河大桥钢管混凝土系杆拱内力及应力解析解研究

利用对称性对戴河大桥空间结构进行了简化,通过计算得出钢管混凝土系杆拱桥在成桥后的解析解,对关键截面进行了受力验算,并与其容许值进行比较,验算了各关键截面的安全性.提出钢管混凝土系杆拱简化计算的一般模式,为手算钢管混凝土系杆拱内力和应力情况提供参考.     

浅析汽车博物馆建筑设计理念

汽车博物馆是汽车历史的浓缩,是汽车工业的承载体.通过对国内外典型汽车博物馆建筑实例进行剖析,分析汽车博物馆建筑设计理念,探讨汽车博物馆建筑设计的方法.     

相位非平稳人造地震动反应谱拟合技术研究

采用完全非平稳人造地震动技术,就是在传统的考虑幅值非平稳特性拟合目标反应谱的基础上,根据不同的场地条件和地震环境,引入实际强震或地震记录提取的非平稳的相位来共同拟合目标反应谱．本项研究技术将20多年来通用人造地震动的技术进行了实用性改进,建立了人造地震动与强震、测震记录的应有联系,使天然地震记录数据的推广应用有了更多的渠道和技术保证,可以直接应用于防震减灾工程实际．     

超深基坑开挖变形数值分析

采用大型有限元分析软件ABAQUS,对软土地区超深基坑的开挖变形性状进行三维非线性有限元分析,并将地连墙水平位移和立柱竖向位移的模拟结果与实际测量数据进行比较,得出了较为一致的规律,并分析了实测值和计算值的异同．     

Evolutionary digital twin: A new approach for intelligent industrial product development

To fulfill increasingly difficult and demanding tasks in the ever-changing complex world, intelligent industrial products are to be developed with higher flexibility and adaptability. Digital twin (DT) brings about a possible means, due to its ability to provide candidate behavior adjustments based on received “feedbacks” from its physical part. However, such candidate adjustments are deterministic, and thus lack of flexibility and adaptability. To address such problem, in this paper an extended concept – evolutionary digital twin (EDT) and an EDT-based new mode for intelligent industrial product development has been proposed. With our proposed EDT, a more precise approximated model of the physical world could be established through supervised learning, based on which the collaborative exploration for optimal policies via parallel simulation in multiple cyberspaces could be performed through reinforcement learning. Hence, more flexibility and adaptability could be brought to industrial products through machine learning (such as supervised learning and reinforcement learning) based self-evolution. As a primary verification of the effectiveness of our proposed approach, a case study has been carried out. The experimental results have well confirmed the effectiveness of our EDT based development mode.     

基于物联网的大学信息化教学辅助实验平台应用

在大学教学过程中,实验是一种必不可少的辅助手段。但是,面对日益增长的实验科研需求,一方面是设备使用紧张,另一方面是昂贵的实验器材不能够充分被利用,因此,如何实现实验设备的充分利用是大学信息化建设面临的一个主要问题。文章采用物联网技术将仪器设备布置于网络中,并允许用户通过远程访问使用仪器设备进行科研,同时通过一个具体实例来阐述物联网实验平台构造,从而提高设备使用率。     

天津智慧城市建设的对策研究

发展智慧产业,推进智慧管理,让城市运作更安全、更高效、更绿色,已成为一个城市发展抢占新优势的科学选择。文章分析了欧盟智慧城市发展战略,同时结合英国、法国和意大利的智慧城市建设,给出了建设智慧城市的对策与建议。     

基于PSO-GRNN方法的城市用水量短期预测

鉴于城市用水量短期预测中传统的神经网络训练易陷入局部极小点、收敛速度较慢等问题,采用具有全局随机优化思想的PSO算法对GRNN神经网络径向基函数的扩展速度进行优化,提出了城市用水量的PSO-GRNN神经网络预测方法。根据某市日用水量的实测数据进行建模和预测,通过与最小二乘模型、核估计模型、局部线性估计模型的模拟效果进行对比表明：PSO-GRNN网络具有较强的自适应能力和泛化能力,能够有效地提高用水量的预测精度。