矿山抗采动农村楼房的试验研究

本文通过两栋不同加固方案的二层农村楼房抗采动现场试验结果的分析,对不同加固措施的作用机理、效果及其设置条件进行了研究探讨,并提出,在农村采动区兴建抗采动变形楼房,是解放村庄下压煤、节约耕地和降低加固费用的途径。     

高炉筑炉施工工法

从施工顺序的安排和作业设施、材料运输方面对筑炉工程的施工方法进行了介绍，并对预砌筑和试喷涂进行了阐述，探讨了高炉的砌筑方法，以保证高炉的施工质量。     

建筑设备监控系统及节能

介绍了建筑设备监控系统(楼宇自动化系统)基本构成和功能,从而指出其节能的内涵。     

建筑围护结构与节能

针对我国夏热冬冷地区的建筑气候特点,对建筑围护结构节能在设计中的要点和意义进行了讨论。     

建筑结构爆破震动效应及安全分析研究

从现代爆破作用原理出发。对岩体爆破的振动特性，影响因素及最新研究进展作了综合评述。并通过大量科研观测资料分析。结合我国某些工程实践经验。着重介绍了岩土爆破对闸坝工程，水工隧洞的作用特性。破坏机制和安全准则。     

住宅建筑带钢副框铝合金门窗防渗漏施工技术

使用自粘性防水卷材对带钢副框的铝合金门窗窗边进行粘接,以防止雨水通过副框与墙体之间的缝隙渗漏到室内,重点介绍了详细的施工措施。     

Time‐dependent heat transfer coefficient of a wall

A time‐dependent coefficient of heat transfer is proposed for the computation of thermal power required, so that a room temperature reaches a desired value within a given time. A mathematical formulation of the room heating transient phenomenon is constructed in a dimensionless form. Using an integral approximate solution an analytical expression for this coefficient is provided and it is verified by diagrams adopted by DIN 4701. Copyright © 2003 John Wiley & Sons, Ltd.     

论智能化建筑

详细地阐述了智能化建筑的概念及其产生和发展、智能住宅的产生和发展，针对我国智能建筑发展存在的问题提出了建议，同时对未来的智能化建筑进行了展望，从而促进我国智能化建筑的发展。     

Empirical modelling of shear strength of RC deep beams by genetic programming

This paper investigates the feasibility of using genetic programming (GP) to create an empirical model for the complicated non-linear relationship between various input parameters associated with reinforced concrete (RC) deep beams and their ultimate shear strength. GP is a relatively new form of artificial intelligence, and is based on the ideas of Darwinian theory of evolution and genetics. The size and structural complexity of the empirical model are not specified in advance, but these characteristics evolve as part of the prediction. The engineering knowledge on RC deep beams is also included in the search process through the use of appropriate mathematical functions.The model produced by GP is constructed directly from a set of experimental results available in the literature. The validity of the obtained model is examined by comparing its response with the shear strength of the training and other additional datasets. The developed model is then used to study the relationships between the shear strength and different influencing parameters. The predictions obtained from GP agree well with experimental observations.