化学植筋技术的测试与应用研究

对化学植筋技术的基本原理和植筋工艺进行总结，探讨了植筋的各种破坏形式以及影响植筋锚固性能的因素；同时结合一个工程实例，对植筋的锚固能力进行了现场测试和数值计算。研究成果对化学植筋技术的工程实践有一定参考价值。     

某桥梁植筋施工技术探讨

植筋技术具有对原结构的破损小，工艺简单，锚固后结构整体性好等特点。结合某高速公路扩建F2标工程新、老桥梁的拼接，较详细地介绍了植筋技术的施工工艺及施工注意事项。     

某增层改造工程中的植筋锚固技术

对某实验楼室内增层改造工程中的植筋锚固节点进行了研究，从方案确定、植筋锚固节点构造与设计及植筋锚固施工技术等方面进行了深入分析，可为类似工程提供参考。     

植筋技术在钢筋混凝土改造工程中的应用

结合具体工程实例，介绍了采用植筋技术进行植筋连接的设计与施工，通过对植筋破坏形式和单根植筋锚固承载力设计值的分析，确定了植筋基本锚固的长度，并对植筋技术施工的质量控制进行了探讨，以保证工程的整体稳定性要求。     

植筋锚固技术在港口工程建设中的应用探讨

随着建筑业技术的发展和提高，植筋锚固技术在建筑工程中应用越来越广泛，同时其在港口码头工程中也得到了应用。本文结合工程实例，对植筋锚固技术的理论进行分析，系统地提出了植筋锚固的破坏形式、工程经验公式及施工操作的要点。并结合现场试验与检测说明植筋技术在港口工程上的发展应用。     

某桥梁植筋施工技术探讨

植筋技术具有对原结构的破损小,工艺简单,锚固后结构整体性好等特点.结合某高速公路扩建F2标工程新、老桥梁的拼接,较详细地介绍了植筋技术的施工工艺及施工注意事项.     

改性无机植筋锚固材料的锚固性能试验研究

研发了一种新型无机植筋材料,试验研究了对不同直径的钢筋在不同锚固深度(10d、15d、20d)情况下的锚固性能。结果表明,该改性无机植筋材料满足后锚固技术工艺要求。     

预埋钢筋和植筋锚固长度的对比分析

基于现行混凝土结构设计规范和混凝土结构加固技术规范中关于普通预埋钢筋和植筋锚固长度的要求,分析了预埋钢筋和植筋锚固原理、破坏形态和影响因素,对预埋钢筋和植筋的锚固长度进行了计算分析.结果表明:植筋锚固长度总体低于预埋锚固长度,植筋锚固长度是预埋锚固长度的60%～80%.<混凝土结构加固设计规范>中给出的一般构件植筋锚固...     

植筋施工中应注意的技术问题

目前的建筑工程中,植筋锚固技术被越来越多地采用.然而,由于施工队伍的技术、管理等存在差距,.植筋施工中存在各种质量问题.通过对植筋锚固施工技术的研究,总结出植筋施工中应注意锚固材料、锚固部位、锚固长度等技术问题,并针对这些问题进行了较深入的探讨,提出了相应的保障措施.     

混凝土植筋技术及节点抗剪承载力研究现状

本文主要介绍了植筋锚固技术的原理、优点、施工流程及植筋胶的特点等,着重讨论了国内外采用植筋技术的结构抗剪承载力研究成果,并且指出目前研究中对于柱上植筋再浇一新梁这样普遍使用的结构的抗剪机理研究不足,还提出日后对植筋锚固技术研究的方向和思路。     

全球化视野下苏州城市特色的保护与发展

本文在阐述城市特色概念与内涵的基础上,分析苏州城市的特色构成及其面临的挑战,提出保护和发展苏州城市地域性特色的重点是保护传统的水特色,进行古城街区、巷道的全面保护,同时以动态发展的观念塑造城市新特色。     

岩溶发育特征的数字化分析

在研究某水利枢纽岩溶发育规律的过程中,采用传统岩溶发育特征分析方法的基础上,进行了地图信息的数字化分析以及根据数字等高线信息构造三维地形模型。基于GIS地理信息系统进行岩溶发育特征的数字化分析,能够更直观表达岩溶发育特征,有助于对岩溶发育规律从定性分析到定量分析的研究。     

生态园规划设计与地方特色的融合

对生态园当地历史文化和地方资源特色进行分析,从文化、实物及植物配置三个层面进行论述,提出生态园规划与地方特色融合的方法,达到营造出具有地方特色的生态园景观效果。     

Structural Damage Detection with Automatic Feature‐Extraction through Deep Learning

Structural damage detection is still a challenging problem owing to the difficulty of extracting damage‐sensitive and noise‐robust features from structure response. This article presents a novel damage detection approach to automatically extract features from low‐level sensor data through deep learning. A deep convolutional neural network is designed to learn features and identify damage locations, leading to an excellent localization accuracy on both noise‐free and noisy data set, in contrast to another detector using wavelet packet component energy as the input feature. Visualization of the features learned by hidden layers in the network is implemented to get a physical insight into how the network works. It is found the learned features evolve with the depth from rough filters to the concept of vibration mode, implying the good performance results from its ability to learn essential characteristics behind the data.     

Conservation and character defining elements of historical towns: A comparative study of Cape Coast and Elmina streets and castles

The concept of historical conservation and character definition is reflected in the Liverpool Street of Elmina and Kingsway Street of Cape Coast in Ghana. The features of these streets are changing owing to urbanization and to the development of commercial retail. In this study, we investigated the character-defining features of Kingsway Street and Liverpool Street within an 800 m radius relative to the Cape Coast and Elmina Castles, respectively, which are known for their landmark roles as historical artifacts. We adopted a combination of mapping, philology, and fractal geometry to assess the character-defining features of each street. The key changes in the features of the two streets and the similarities between these features are emphasized in our results. The features of both streets have undergone rapid changes in terms of economic retail activities, which represent the central element defining the characters of theses treets. Furthermore, the 18th and 19th century architecture along these streets is gradually losing their original features because of undocumented and unguided renovations, as well as retrofitting works that are based on the discretion and taste of building owners.     

热带旅游城市的大学校园规划——海南大学三亚学院B区规划设计

海南大学三亚学院位于我国惟一的热带旅游城市三亚市的北郊落笔洞景区内,应被规划成一座具有浓郁热带气候特色和旅游风景特点的文化园区.规划根据热带气候特征,沿地形布置建筑,形成自然通风廊道,局部架空建筑,形成灰空间或过渡空间;考虑环境特点,顺应山势进行功能分区,采用风格轻巧的建筑,普遍采用灰色调;提炼本土文化,塑造景观轴线.     

Influence of district features on energy consumption in non-domestic buildings

The spatial variability of gas consumption is investigated in non-domestic buildings across districts of Greater London, UK. It is argued that the energy consumption of a building is to some extent influenced by where the building is located in a city, due to contextual features of its own district as well as those of neighbouring districts. Using Bayesian spatial models, the analysis suggests the energy consumption due to the influence of district features can be quantified and dissociated from the energy consumption associated with the physical features and operational characteristics of the buildings. An important distinction is made between extrinsic values of energy consumption (district features) and intrinsic values (building characteristics, management and operation). The results indicate that 90% of the mean value of extrinsic gas consumption across districts in London is between –42 and 87 kWh/m². Buildings located in districts that have positive values of extrinsic gas consumption consume more gas over and above their expected intrinsic value of gas consumption. The novel features of this study are in the quantification and propagation of district-scale features to their influence on buildings, and the reduction in uncertainties around the mean value of gas consumed by different building types.     

Video Fire Smoke Detection Using Motion and Color Features

A novel video smoke detection method using both color and motion features is presented. The result of optical flow is assumed to be an approximation of motion field. Background estimation and color-based decision rule are used to determine candidate smoke regions. The Lucas Kanade optical flow algorithm is proposed to calculate the optical flow of candidate regions. And the motion features are calculated from the optical flow results and use to differentiate smoke from some other moving objects. Finally, a back-propagation neural network is used to classify the smoke features from non-fire smoke features. Experiments show that the algorithm is significant for improving the accuracy of video smoke detection and reducing false alarms.     

在工科教学实习中融入社会实践模式探索

根据工科教学实习和社会实践教育的综合性、社会性的共同特征,结合近年来的实际工作总结,进行教学改革,探索了在工科教学实习中融入社会实践的教学模式,以教学生产实习为平台承载大学生社会实践,使教育的综合性、社会性及专业性在教学过程中实现了完美统一。找到了一条与专业教育相结合的素质教育方法,取得了良好的教学教育效果。     

Erratum to: Video Fire Smoke Detection Using Motion and Color Features

A novel video smoke detection method using both color and motion features is presented. The result of optical flow is assumed to be an approximation of motion field. Background estimation and color-based decision rule are used to determine candidate smoke regions. The Lucas Kanade optical flow algorithm is proposed to calculate the optical flow of candidate regions. And the motion features are calculated from the optical flow results and use to differentiate smoke from some other moving objects. Finally, a back-propagation neural network is used to classify the smoke features from non-fire smoke features. Experiments show that the algorithm is significant for improving the accuracy of video smoke detection and reducing false alarms.